Clinicopathological characteristics and prognosis of colorectal mucinous adenocarcinoma in different age groups of patients: A nationwide retrospective study in China

Clinicopathological characteristics and prognosis of colorectal mucinous adenocarcinoma in different age groups of patients: A nationwide retrospective study in China | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Clinicopathological characteristics and prognosis of colorectal mucinous adenocarcinoma in different age groups of patients: A nationwide retrospective study in China Bingxu Liu, Haoqing He, Qilong Xu, Chang Liu, Xu Guan, Peng Zhang, and 22 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7729545/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background The clinicopathological and prognostic features of different age groups of patients with colorectal cancer (CRC) differ greatly. However, the impact of age on the clinicopathological features and prognosis of colorectal mucinous adenocarcinoma (MAC) remains underexplored. Materials and Methods Clinicopathological data of CRC patients who underwent curative surgery and were pathologically diagnosed with MAC across 23 hospitals in China from 2016 to 2021 were collected. Data from MAC patients in the Surveillance, Epidemiology, and End Results (SEER) database were also collected. The clinicopathologic features and prognosis of MAC in patients in different age groups were analysed. Results The clinicopathological features of MAC patients in different age groups significantly differed. In both the SEER cohort and the Chinese cohort, patients > 60 years old were more likely to be female, have larger tumours, and have a lower pathological N category and TNM category (P < 0.05). In the SEER cohort, significant differences were observed in OS among the young, middle-aged, and elderly patient groups (65.2% vs. 70.7% vs. 66.2%, P < 0.01). In the Chinese cohort, the OS rates were similar (82.9% vs. 89.1% vs. 80.0%, P = 0.06). There was no significant difference in DFS among the young, middle-aged, and elderly groups (80.0% vs. 85.6% vs. 79.2%, P = 0.20). Conclusion In the SEER cohort, patients < 60 years old had more cases with advanced TNM stages, more patients with tumours located in the left colon and rectum, and a higher proportion of male patients. The clinicopathological features were similar among the three groups, except that the young population aged 18–40 years had more advanced TNM stages at diagnosis in the Chinese cohort. Patients in the 40–60 years age group had worse OS than those in the > 60 age group. Young MAC patients should receive more attention because of their aggressive features and poor diagnosis. Figures Figure 1 Figure 2 Figure 3 Figure 4 INTRODUCTION CRC is the third most commonly diagnosed cancer worldwide [1]. MAC accounts for approximately 10–20% of all CRC cases [2]. The World Health Organization defines MAC as a lesion in which more than 50% of the lesion is composed of pools of extracellular mucin containing malignant epithelium [3]. In terms of prognosis, a meta-analysis including 56 studies with a total of 803,157 patients revealed that MAC is an adverse prognostic factor for OS in CRC patients (HR 1.04; 95% CI: 1.03–1.04, P < 0.01) [4]. Recent studies have shown that MACs have distinct genetic backgrounds and clinicopathological and prognostic features compared with those of CRCs [5], and an increasing number of studies have suggested that MACs should be treated as a single tumour. The prognostic significance of primary different age groups in CRC has garnered considerable interest. Several studies have suggested that young patients with CRC have different clinicopathological features and are more likely to present with advanced disease than older patients are [6–7]. Nonetheless, the impact of different age groups on the clinicopathological features and prognosis of MAC remains unclear. Therefore, we conducted this study to provide more precise screening methods and comprehensive postoperative treatment for patients with MAC of different age groups. To evaluate the impact of age on MAC outcome, we stratified the patient cohort into three age groups: Group 1, 18–40 years; Group 2, 41–60 years; and Group 3, >60 years. The clinicopathological characteristics and prognostic features were compared among the different groups. MATERIALS & METHODS Study Population The clinicopathological data of CRC patients who underwent curative surgery and were pathologically diagnosed with MAC across 23 hospitals in China from 2016 to 2021 were collected. Data from MAC patients in the SEER database from 2000 to 2021 were also collected. In this study, all MAC patients were included, whereas those with multiple primary tumours, multiple CRCs, mucus components < 50%, stage IV MAC, and insufficient clinical and/or pathological information were excluded (Fig. 1 ). In the Chinese cohort, data, including sex, age, tumour location, tumour size, perineural invasion (PNI), lymphovascular invasion (LVI), T stage, N stage, and TNM stage, were collected from clinical records. Follow-up Method Histories and physical examinations were given every 3 to 6 months for 2 years and then every 6 months for a total of 3 years. Follow-up included physical examinations, tumour marker assessments, computed tomography (CT) scans, and colonoscopies to detect postoperative recurrence. CT scans were typically performed every six months for five years, whereas colonoscopies were performed in the first three years. Data Selection Patients were categorized into three groups based on patient age: (1) Group 1, 18–40 years; (2) Group 2, 41–60 years; and (3) Group 3, >60 years. Data on age, sex, tumour size, LVI, and PNI at presentation were recorded for each patient according to the Union for International Cancer Control (8th edition) tumour‒node‒metastasis (TNM) classification. Follow-up data were obtained through patient interactions in the hospital or via telephone communication. Study Endpoint The endpoint of this study was survival time. Deaths from any cause, recurrence or metastasis were considered events. Patients still alive at the last follow-up, with or without disease, were censored. Survival time was measured from the date of surgery to the date of death or the last known follow-up. OS was defined as the period from surgery to death from any cause, and disease-free survival (DFS) was defined as the period from surgery to recurrence or any death from any cause. Statistical Analysis Chi-square analysis, Fisher's exact test, or Kruskal‒Wallis ANOVA was used to assess differences in categorical variables where appropriate. Kaplan‒Meier curves were generated to assess survival, which was compared via log-rank tests. Univariable and multivariable survival analyses with Cox regression models were conducted to identify prognostic factors. Hazard ratios (HRs) are reported with 95% confidence intervals (95% CIs). The adjusted variables included sex, age, tumour location, LVI, PNI, tumour size, and TNM stage. A two-sided P value ≤ 0.05 was considered statistically significant. All of the statistical analyses were conducted via SPSS software (version 25.0 for Windows, IBM SPSS Statistics, IBM Corporation, Armonk, NY). RESULTS Study Cohort Characteristics and Clinicopathological Features A total of 4,166 patients in the SEER cohort and 2,431 patients in the Chinese cohort met the inclusion criteria. The SEER cohort comprised 263 (6.3%) patients in Group 1, 1521 (36.5%) in Group 2, and 2382 (57.2%) in Group 3. In the Chinese cohort, 184 (7.6%) patients were in Group 1, 955 (39.3%) were in Group 2, and 1292 (53.1%) were in Group 3 (Table 1 ). Compared with those in Group 1/2, patients in Group 3 were more likely to be female, have larger tumours, and belong to a lower pathological T category, N category and TNM category (P < 0.05) (Table 2 ). In the Chinese cohort, similar trends were noted, with Group 1 patients also being more likely to have a higher pathological N category and TNM category than Group 2 and Group 3 patients (all P < 0.05) (Table 3 ). Furthermore, the positive rate of LVI in Group 1 patients was higher than that in Group 3 patients. (Table 3 ). These findings indicate that MAC tumours of different ages have different clinicopathological characteristics. Overall, younger patients are more likely to be diagnosed at an advanced stage and have more aggressive clinicopathological features. Prognosis of MAC Patients by Age To further elucidate the differences among the different groups, the diagnosis of the included patients were depicted. The 3-year OS rates for MAC patients were 84.8% in the Chinese cohort and 68.8% in the SEER cohort. For patients in the Chinese cohort, the 3-year OS rates for Group 1, Group 2 and Group 3 were 82.9%, 89.1%, and 80.0%, respectively (P = 0.06) (Fig. 2 A). There was no significant difference between Group 1 and Group 2 or between Group 1 and Group 3 (P = 0.26 and 0.92) (Fig. 2 B and 2 C), but there was a significant difference between Group 2 and Group 3 (P = 0.02) (Fig. 2 D). The trends in the DFS rates were similar (Group 1 vs. Group 2 vs. Group 3, 80.0% vs. 85.6% vs. 79.2%, P = 0.20) (Fig. 3 ). In the SEER cohort, the 3-year OS rates for Group 1, Group 2 and Group 3 were 65.2%, 70.7%, and 66.2%, respectively (P < 0.01)(Fig. 4 A). There was no significant difference between Group 1 and Group 2 or between Group 1 and Group 3 (P = 0.07 and 0.83) (Fig. 4 B and 4 C), but there was a significant difference between Group 2 and Group 3 (P = 0.02) (Fig. 4 D). The prognosis of MAC differ among different age groups in Eastern populations but are similar in the Chinese cohort. Notably, the 40–60 years age group had worse OS than the > 60 years age group in both cohorts. Factors Affecting OS and DFS in MAC Patients Univariate and multivariate analyses were conducted to assess the factors associated with the prognosis of MAC. In the Chinese cohort, LVI (HR = 2.741, 95% CI = 1.751–4.382, P < 0.01), PNI (HR = 1.911, 95% CI = 1.2–3.043, P < 0.01), and advanced TNM stage (HR = 3.524, 95% CI = 2.043–6.079, P < 0.01) were identified as risk factors for poor OS (Table 4 ). Multivariate analysis further revealed that advanced TNM stage (HR = 2.742, 95% CI = 1.531–4.909, P < 0.01) was an independent risk factor for poor OS (Table 4 ). In the SEER cohort, different age groups (P < 0.01), tumour locations (P < 0.01), tumour sizes ≥ 5 cm (HR = 1.375, 95% CI = 1.227–1.541, P < 0.01), and advanced TNM stages (HR = 1.928, 95% CI = 1.73–2.148, P < 0.01) were identified as independent risk factors for poor OS (Table 4 ). Multivariate analysis further revealed that tumour location (P = 0.01), tumour size ≥ 5 cm (HR = 1.393, 95% CI = 1.242–1.562, P < 0.01) and advanced TNM stage (HR = 1.907, 95% CI = 1.709–2.127, P < 0.01) were independent risk factors for poor OS (Table 4 ). In terms of DFS, in the Chinese cohort, a tumour size ≥ 5 cm (HR = 1.327, 95% CI = 1.076–1.495, P = 0.02) and advanced TNM stage (HR = 1.597, 95% CI = 1.142–2.207, P < 0.01) were significant independent risk factors (Table 5 ). TNM stage remains the most important factor affecting the OS and DFS of patients with MAC. However, more attention should be given to MAC patients with tumours located in the right colon or with a tumour size larger than 5 cm, and close follow-up is necessary. DISCUSSION Our results demonstrate that age is not an independent prognostic factor for survival. However, disparities in patient cohorts make accurate comparisons difficult. For instance, some studies included cohort patients with preexisting factors predisposing them to CRC, such as a hereditary gastrointestinal cancer syndrome [10]. These factors are likely to lead to an overestimation of the incidence of CRC in the young population. Similarly, there is a lack of consensus on the definition of ‘young-onset CRC’, with researchers using various age cut-offs including 35, < 40 or < 50 years. In the O’Connell review, 37 (67%) of the included studies defined ‘young onset’ as patients under the age of 40 years [10]; hence, we used this definition. With respect to clinicopathological features, our results revealed that left-sided cancer and the rectum were the most common sites of MAC in all three groups. Overall, in patients under the age of 60 years (Groups 1 and 2), left-sided tumours and the rectum accounted for more than 70% of all cases of MAC. These findings are consistent with previously published studies that reported a predilection of CRC for the left colon and rectum in younger patients [11]. Furthermore, our results revealed that the 18–40-year-old group presented with advanced disease (stage III) compared with the other two groups. These findings are similar to those of the review by O’Connell et al., in which the authors demonstrated that 66% of patients under the age of 40 presented with advanced disease [10]. Similar findings have been reported in other recent studies [12–13]. Some authors have suggested that the higher rate of advanced disease observed in younger patients could be attributed to delayed diagnosis because, first, younger patients are more likely to dismiss red-flag bowel symptoms. In addition, physicians are less likely to refer young patients for endoscopic investigations because their symptoms are benign [14]. Our studies suggest that although young patients are more likely to have advanced disease, their outcome is similar to that of older patients. This is because younger patients have better performance status and are therefore more likely to tolerate more aggressive treatment. We acknowledge several limitations to this study. For instance, factors such as a patient’s comorbidities, weight and body mass index and family history of MAC were not assessed in this study. These are clinically relevant variables that could affect survival outcomes. Another limitation is the small sample size, especially in the 18–40-year age group. This limited our ability to perform stage-dependent stratification of OS and DFS between the three groups. The SEER database lacks data on whether patients have LVI or PNI and the time period from surgery to recurrence or death from any cause, which imposes limitations on the research. CONCLUSION In the SEER cohort, patients <60 years old were more likely to have advanced TNM stages, more tumours located in the left colon and rectum, and a higher proportion of male patients. The clinicopathological features of Chinese patients in various age groups are highly similar. However, the young population aged 18–40 years has more advanced TNM stages at diagnosis. Middle-aged patients have a poor outcome and should receive more attention during follow-up. Declarations Financial support and sponsorship none. Conflicts of interest: All authors declare that there are no conflicts of interest. Presentation none. Author Contribution Guarantors of integrity of entire study, all authors; study concepts/study design or data acquisition or data analysis/interpretation,B.X.L, H.Q.H, Q.L.X and C.L; manuscript drafting or manuscript revision for important intellectual content, B.X.L., Z.Z., D.N.L., H.Y.; approval of final version of submitted manuscript, all authors; agrees to ensure any questions related to the work are appropriately resolved, all authors; literature research, B.X.L., H.Q.H, X.G.; clinical studies, B.X.L, H.Q.H, Q.L.X, C.L X.G., P.Z., B.J.L., Y.M.S., M.H.Y., S.L.N.; statistical analysis, B.X.L, H.Q.H, Q.L.X, C.L, X.G., P.Z., B.J.L., Y.M.S.; and manuscript editing, B.X.L, H.Q.H, Q.L.X, C.L, Z.Z., D.N.L., H.Y. Data Availability Statement: The data that support the findings of this study will be available. References Schreuders EH, Ruco A, Rabeneck L, et al. Colorectal cancer screening: a global overview of existing programmes. 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Determining the cancer diagnostic interval using administrative health care data in a breast cancer cohort.JCO Clin Cancer Inform. 2019;3:1-10. doi:10.1200/CCI.18.00131 Tables Table1 Clinicopathological Characteristics of the Patient Cohort Characteristics China registry n=2431 SEER database n=4166 Sex Men 1407 (57.9%) 2220 (53.3%) Women 1024 (42.1%) 1946 (46.7%) Age (years) 18-40 years 184 (7.6%) 263 (6.3%) 41-60 years 955 (39.3%) 1521 (36.5%) ＞60years 1292 (53.1%) 2382 (57.2%) Tumor location Right hemicolon 979 (40.3%) 2610 (62.7%) Left hemicolon 531 (21.8%) 990 (23.8%) Rectum 921 (37.9%) 566 (13.5%) Vascular invasion Yes 544 (22.4%) No 829 (34.1%) / 1058 (43.5%) Perineural invasion Yes 542 (22.3%) No 816 (33.6%) / 1073 (44.1%) Tumour size ＜5cm 791 (32.5%) 1596 (38.3%) ≥5cm 1640 (67.5%) 2570 (61.7%) T stage T1 21 (0.9%) 231 (5.5%) T2 191 (7.9%) 428 (10.3%) T3 1577 (64.8%) 2431 (58.4%) T4 642 (26.4%) 1076 (25.8%) N stage N0 1179 (48.5%) 2304 (55.3%) N1 736 (30.3%) 1104 (26.5%) N2 516 (21.2%) 758 (18.2%) TNM stage I 138 (5.7%) 520 (12.5%) II 1041 (42.8%) 1784 (42.8%) III 1252 (51.5%) 1862 (44.7%) Table2 Comparison of the Clinicopathological Characteristics in SEER database of Different age groups Clinicopathological Characteristics 18-40 years Vs. 41-60 years P 18-40 years Vs. ＞60years P 41-60 years Vs. 60years P Sex 0.41 ＜0.01 ＜0.01 Men 162 (61.6%) / 896 (58.9%) 162 (61.6%) / 1162 (48.8%) 896 (58.9%) / 1162 (48.8%) Women 101 (38.4%) / 625 (41.1%) 101 (38.4%) / 1220 (51.2%) 625 (41.1%) / 1220 (51.2%) Location 0.18 ＜0.01 ＜0.01 Right Hemicolon 139 (52.9%) / 862 (56.7%) 139 (52.9%) / 1609 (67.6%) 862 (56.7%) / 1609 (67.6%) Left Hemicolon 71 (27.0%) / 421 (27.7%) 71 (27.0%) / 498 (20.9%) 421 (27.7%) / 498 (20.9%) Rectum 53 (20.1%) / 238 (15.6%) 53 (20.1%) / 275 (11.5%) 238 (15.6%) / 275 (11.5%) Tumour size 0.02 0.01 0.04 ＜5cm 77 (29.3%) / 561 (36.9%) 77 (29.3%) / 958 (40.2%) 561 (36.9%) / 958 (40.2%) ≥5cm 186 (70.7%) / 960 (63.1%) 186 (70.7%) / 1424 (59.8%) 960 (63.1%) / 1424 (59.8%) T stage 0.22 ＜0.01 0.02 T1 12 (4.6%) / 86 (5.6%) 12 (4.6%) / 133 (5.6%) 86 (5.6%) / 133 (5.6%) T2 19 (7.2%) / 144 (9.5%) 19 (7.2%) / 265 (11.1%) 144 (9.5%) / 265 (11.1%) T3 144 (54.8%) / 868 (57.1%) 144 (54.8%) / 1419 (59.6%) 868 (57.1%) / 1419 (59.6%) T4 88 (33.4%) / 423 (27.8%) 88 (33.4%) / 565 (23.7%) 423 (27.8%) / 565 (23.7%) N stage 0.15 ＜0.01 0.02 N0 123 (46.8%) / 807 (53.0%) 123 (46.8%) / 1374 (57.7%) 807 (53.0%) / 1374 (57.7%) N1 85 (32.3%) / 418 (27.5%) 85 (32.3%) / 601 (25.2%) 418 (27.5%) / 601 (25.2%) N2 55 (20.9%) / 296 (19.5%) 55 (20.9%) / 407 (17.1%) 296 (19.5%) / 407 (17.1%) TNM stage 0.13 ＜0.01 0.01 I 23 (8.8%) / 177 (11.6%) 23 (8.8%) / 320 (13.5%) 177 (11.6%) / 320 (13.5%) II 100 (38.0%) / 630 (41.4%) 100 (38.0%) / 1054 (44.2%) 630 (41.4%) / 1054 (44.2%) III 140 (53.2%) / 714 (47.0%) 140 (53.2%) / 1008 (42.3%) 714 (47.0%) / 1008 (42.3%) Table3 Comparison of the Clinicopathological Characteristics in China registry of Different age groups Clinicopathological Characteristics 18-40 years Vs. 41-60 years P 18-40 years Vs. ＞60years P 41-60 years Vs. 60years P Sex 0.03 0.02 0.97 Men 121 (65.8%) / 547 (57.3%) 121 (65.8%) / 739 (57.2%) 547 (57.3%) / 739 (57.2%) Women 63 (34.2%) / 408 (42.7%) 63 (34.2%)/553 (42.8%) 408 (42.7%) / 553 (42.8%) Location ＜0.01 0.04 0.02 Right Hemicolon 61 (33.1%) / 375 (39.3%) 61 (33.1%) /543 (42.0%) 375 (39.3%) / 543 (42.0%) Left Hemicolon 55 (29.9%) / 185 (19.4%) 55 (29.9%) / 291 (22.5%) 185 (19.4%) / 291 (22.5%) Rectum 68 (37.0%) / 395 (41.3%) 68 (37.0%) / 458 (35.5%) 395 (41.3%) / 458 (35.5%) Vascular invasion 0.10 0.04 0.45 Yes 48 (26.1%) / 205 (21.5%) 48 (26.1%) / 291 (22.5%) 205 (21.5%) / 291 (22.5%) No 48 (26.1%) / 323 (33.8%) 48 (26.1%) / 458 (35.4%) 323 (33.8%) / 458 (35.4%) / 88 (47.8%) / 427 (44.7%) 88 (47.8%) / 543 (34.1%) 427 (44.7%) / 543 (34.1%) Perineural invasion 0.22 0.11 0.40 Yes 48 (26.1%) / 206 (21.6%) 48 (26.1%) / 288 (22.3%) 206 (21.6%) / 288 (22.3%) No 50 (27.2%) / 314 (32.9%) 50 (27.2%) / 452 (35.0%) 314 (32.9%) / 452 (35.0%) / 86 (46.7%) / 435 (45.5%) 86 (46.7%) / 552 (42.7%) 435 (45.5%) / 552 (42.7%) Tumour size 0.76 0.36 0.27 ＜5cm 64 (34.8%) / 321 (33.6%) 64 (34.8%) / 406 (31.4%) 321 (33.6%) / 406 (31.4%) ≥5cm 120 (65.2%) / 634 (66.4%) 120 (65.2%) / 886 (68.6%) 634 (66.4%) / 886 (68.6%) T stage 0.27 0.13 0.61 T1 1 (0.5%) / 6 (0.6%) 1 (0.5%) / 14 (1.1%) 6 (0.6%) / 14 (1.1%) T2 7 (3.8%) / 75 (7.9%) 7 (3.8%) / 109 (8.4%) 75 (7.9%) / 109 (8.4%) T3 128 (69.6%) / 625 (65.4%) 128 (69.6%) / 824 (63.8%) 625 (65.4%) / 824 (63.8%) T4 48 (26.1%) / 249 (26.1%) 48 (26.1%) / 345 (26.7%) 249 (26.1%) /345 (26.7%) N stage ＜0.01 ＜0.01 0.93 N0 72 (39.2%) / 466 (48.8%) 72 (39.2%) / 641 (49.6%) 466 (48.8%) / 641 (49.6%) N1 47 (25.5%) / 296 (31.0%) 47 (25.5%) / 393 (30.4%) 296 (31.0%) / 393 (30.4%) N2 65 (36.3%) / 193 (20.2%) 65 (36.3%) / 258 (20.0%) 193 (20.2%) / 258 (20.0%) TNM stage 0.03 0.01 0.70 I 5 (2.7%) / 52 (5.5%) 5 (2.7%) / 81 (6.3%) 52 (5.5%) / 81 (6.3%) II 67 (36.4%) / 414 (43.3%) 67 (36.4%) / 560 (43.3%) 414 (43.3%) / 560 (43.3%) III 112 (60.9%) / 489 (51.2%) 112 (60.9%) / 651 (50.4%) 489 (51.2%) / 651 (50.4%) Table 4 Univariate and multivariate analyses of factors affecting overall survival in patients Parameters China registry SEER database Univariate analysis Multivariate analysis Univariate analysis Multivariate analysis HR 95%CI P value HR 95%CI P value HR 95%CI P value HR 95%CI P value Age 0.22 ＜0.01 18-40 years 1 1 1 41-60years 0.57 0.177-1.83 0.57 1.023 0.825-1.268 0.84 0.872 0.697-1.091 0.23 ＞60years 0.66 0.395-1.104 0.66 0.833 0.742-0.935 ＜0.01 1.132 0.912-1.405 0.26 Gender Male vs. Female 0.929 0.575-1.499 0.76 0.963 0.865-1.072 0.49 Tumor location 0.07 ＜0.01 0.01 Right 0.521 0.299-0.907 0.02 0.765 0.657-0.91 ＜0.01 0.813 0.697-0.949 ＜0.01 Left 0.827 0.467-1.464 0.52 0.896 0.755-1.064 0.21 0.928 0.781-1.102 0.39 Rectum 1 1 1 Tumor size ＜ 5cm vs. ≥5cm 1.208 0.715-2.044 0.48 1.375 1.227-1.541 ＜0.01 1.393 1.242-1.562 ＜0.01 Vascular invasion No vs. Yes 2.741 1.715-4.382 ＜0.01 1.701 0.982-2.948 0.06 Perineural invasion No vs. Yes 1.911 1.2-3.043 ＜0.01 1.268 0.756-2.127 0.37 TNM I/II vs. III 3.524 2.043-6.079 ＜0.01 2.742 1.531-4.909 ＜0.01 1.928 1.73-2.148 ＜0.01 1.907 1.709-2.127 ＜0.01 Table 5 Univariate and multivariate analyses of factors affecting disease-free survival in Chinese patients Parameters M Univariate analysis Multivariate analysis HR 95%CI P value HR 95%CI P value Age 0.18 18-40 years 1 41-60years 1.239 0.904-1.697 0.48 ＞60years 0.894 0.654-1.223 0.06 Tumor location 0.06 Right 0.656 0.462-0.932 0.02 Left 0.84 0.561-1.258 0.39 Rectum 1 Tumor size ＜ 5cm vs. ≥5cm 0.628 0.46-0.858 ＜0.01 1.327 1.076-1.495 0.02 Vascular invasion No vs. Yes 1.828 1.279-2.611 ＜0.01 1.485 0.982-2.241 0.06 Perineural invasion No vs. Yes 1.493 1.021-2.160 0.03 1.118 0.735-1.696 0.60 TNM I/II vs. III 1.825 1.334-2.495 ＜0.01 1.597 1.142-2.207 ＜0.01 Additional Declarations No competing interests reported. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7729545","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":528739080,"identity":"8da9a551-7f22-4428-96f8-d5320edf37e1","order_by":0,"name":"Bingxu Liu","email":"","orcid":"","institution":"Weifang Medical University","correspondingAuthor":false,"prefix":"","firstName":"Bingxu","middleName":"","lastName":"Liu","suffix":""},{"id":528739081,"identity":"fcfed1a3-ffc5-4a48-a214-b25f8427b756","order_by":1,"name":"Haoqing He","email":"","orcid":"","institution":"Shandong Provincial QianFoShan 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1","display":"","copyAsset":false,"role":"figure","size":70313,"visible":true,"origin":"","legend":"\u003cp\u003eFlow chart depicting the patient selection process.\u003c/p\u003e","description":"","filename":"Onlinefloatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-7729545/v1/562da7df632f1ed8bb6e9183.png"},{"id":94473542,"identity":"cbe180e6-d7cb-4fb9-877a-0eccc0326e21","added_by":"auto","created_at":"2025-10-27 15:44:48","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":45604,"visible":true,"origin":"","legend":"\u003cp\u003eKaplan‒Meier (KM) survival curves of overall survival (A, B, C, D) of patients in different age groups in the Chinese cohort\u003c/p\u003e","description":"","filename":"Onlinefloatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-7729545/v1/40f23d523dd86b8b8ac1c82d.png"},{"id":94473627,"identity":"be3604df-9bb1-44a3-931c-f35825e98974","added_by":"auto","created_at":"2025-10-27 15:45:07","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":75589,"visible":true,"origin":"","legend":"\u003cp\u003eKaplan‒Meier (KM) survival curves of disease-free survival (A, B, C, D) in patients in different age groups in the Chinese cohort\u003c/p\u003e","description":"","filename":"Onlinefloatimage3.png","url":"https://assets-eu.researchsquare.com/files/rs-7729545/v1/548299380096a99f0c2c3e8f.png"},{"id":94473312,"identity":"1ace1541-8484-432a-8c50-c5d82af1c351","added_by":"auto","created_at":"2025-10-27 15:43:57","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":44083,"visible":true,"origin":"","legend":"\u003cp\u003eKaplan‒Meier (KM) survival curves of overall survival (A, B, C, D) of patients in different age groups in the SEER cohort\u003c/p\u003e","description":"","filename":"Onlinefloatimage4.png","url":"https://assets-eu.researchsquare.com/files/rs-7729545/v1/865a712b779eeac7f3fe2a1e.png"},{"id":94987651,"identity":"c55fd33f-7c1c-4960-bd40-3cf52a32c382","added_by":"auto","created_at":"2025-11-03 07:02:15","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1637345,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7729545/v1/cdab14a7-82a3-4eb3-84ad-ceb2e17eaf45.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Clinicopathological characteristics and prognosis of colorectal mucinous adenocarcinoma in different age groups of patients: A nationwide retrospective study in China","fulltext":[{"header":"INTRODUCTION","content":"\u003cp\u003eCRC is the third most commonly diagnosed cancer worldwide [1]. MAC accounts for approximately 10\u0026ndash;20% of all CRC cases [2]. The World Health Organization defines MAC as a lesion in which more than 50% of the lesion is composed of pools of extracellular mucin containing malignant epithelium [3]. In terms of prognosis, a meta-analysis including 56 studies with a total of 803,157 patients revealed that MAC is an adverse prognostic factor for OS in CRC patients (HR 1.04; 95% CI: 1.03\u0026ndash;1.04, P\u0026thinsp;\u0026lt;\u0026thinsp;0.01) [4]. Recent studies have shown that MACs have distinct genetic backgrounds and clinicopathological and prognostic features compared with those of CRCs [5], and an increasing number of studies have suggested that MACs should be treated as a single tumour.\u003c/p\u003e\u003cp\u003eThe prognostic significance of primary different age groups in CRC has garnered considerable interest. Several studies have suggested that young patients with CRC have different clinicopathological features and are more likely to present with advanced disease than older patients are [6\u0026ndash;7]. Nonetheless, the impact of different age groups on the clinicopathological features and prognosis of MAC remains unclear. Therefore, we conducted this study to provide more precise screening methods and comprehensive postoperative treatment for patients with MAC of different age groups.\u003c/p\u003e\u003cp\u003eTo evaluate the impact of age on MAC outcome, we stratified the patient cohort into three age groups: Group 1, 18\u0026ndash;40 years; Group 2, 41\u0026ndash;60 years; and Group 3, \u0026gt;60 years. The clinicopathological characteristics and prognostic features were compared among the different groups.\u003c/p\u003e"},{"header":"MATERIALS \u0026 METHODS","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003eStudy Population\u003c/h2\u003e\u003cp\u003eThe clinicopathological data of CRC patients who underwent curative surgery and were pathologically diagnosed with MAC across 23 hospitals in China from 2016 to 2021 were collected. Data from MAC patients in the SEER database from 2000 to 2021 were also collected. In this study, all MAC patients were included, whereas those with multiple primary tumours, multiple CRCs, mucus components\u0026thinsp;\u0026lt;\u0026thinsp;50%, stage IV MAC, and insufficient clinical and/or pathological information were excluded (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). In the Chinese cohort, data, including sex, age, tumour location, tumour size, perineural invasion (PNI), lymphovascular invasion (LVI), T stage, N stage, and TNM stage, were collected from clinical records.\u003c/p\u003e\u003c/div\u003e\n\u003ch3\u003eFollow-up Method\u003c/h3\u003e\n\u003cp\u003eHistories and physical examinations were given every 3 to 6 months for 2 years and then every 6 months for a total of 3 years. Follow-up included physical examinations, tumour marker assessments, computed tomography (CT) scans, and colonoscopies to detect postoperative recurrence. CT scans were typically performed every six months for five years, whereas colonoscopies were performed in the first three years.\u003c/p\u003e\n\u003ch3\u003eData Selection\u003c/h3\u003e\n\u003cp\u003ePatients were categorized into three groups based on patient age: (1) Group 1, 18\u0026ndash;40 years; (2) Group 2, 41\u0026ndash;60 years; and (3) Group 3, \u0026gt;60 years. Data on age, sex, tumour size, LVI, and PNI at presentation were recorded for each patient according to the Union for International Cancer Control (8th edition) tumour‒node‒metastasis (TNM) classification. Follow-up data were obtained through patient interactions in the hospital or via telephone communication.\u003c/p\u003e\n\u003ch3\u003eStudy Endpoint\u003c/h3\u003e\n\u003cp\u003eThe endpoint of this study was survival time. Deaths from any cause, recurrence or metastasis were considered events. Patients still alive at the last follow-up, with or without disease, were censored. Survival time was measured from the date of surgery to the date of death or the last known follow-up. OS was defined as the period from surgery to death from any cause, and disease-free survival (DFS) was defined as the period from surgery to recurrence or any death from any cause.\u003c/p\u003e\u003cdiv id=\"Sec7\" class=\"Section2\"\u003e\u003ch2\u003eStatistical Analysis\u003c/h2\u003e\u003cp\u003eChi-square analysis, Fisher's exact test, or Kruskal‒Wallis ANOVA was used to assess differences in categorical variables where appropriate. Kaplan‒Meier curves were generated to assess survival, which was compared via log-rank tests. Univariable and multivariable survival analyses with Cox regression models were conducted to identify prognostic factors. Hazard ratios (HRs) are reported with 95% confidence intervals (95% CIs). The adjusted variables included sex, age, tumour location, LVI, PNI, tumour size, and TNM stage. A two-sided P value\u0026thinsp;\u0026le;\u0026thinsp;0.05 was considered statistically significant. All of the statistical analyses were conducted via SPSS software (version 25.0 for Windows, IBM SPSS Statistics, IBM Corporation, Armonk, NY).\u003c/p\u003e\u003c/div\u003e"},{"header":"RESULTS","content":"\u003cdiv id=\"Sec9\" class=\"Section2\"\u003e\u003ch2\u003eStudy Cohort Characteristics and Clinicopathological Features\u003c/h2\u003e\u003cp\u003eA total of 4,166 patients in the SEER cohort and 2,431 patients in the Chinese cohort met the inclusion criteria. The SEER cohort comprised 263 (6.3%) patients in Group 1, 1521 (36.5%) in Group 2, and 2382 (57.2%) in Group 3. In the Chinese cohort, 184 (7.6%) patients were in Group 1, 955 (39.3%) were in Group 2, and 1292 (53.1%) were in Group 3 (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). Compared with those in Group 1/2, patients in Group 3 were more likely to be female, have larger tumours, and belong to a lower pathological T category, N category and TNM category (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05) (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). In the Chinese cohort, similar trends were noted, with Group 1 patients also being more likely to have a higher pathological N category and TNM category than Group 2 and Group 3 patients (all P\u0026thinsp;\u0026lt;\u0026thinsp;0.05) (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). Furthermore, the positive rate of LVI in Group 1 patients was higher than that in Group 3 patients. (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). These findings indicate that MAC tumours of different ages have different clinicopathological characteristics. Overall, younger patients are more likely to be diagnosed at an advanced stage and have more aggressive clinicopathological features.\u003c/p\u003e\u003c/div\u003e\n\u003ch3\u003ePrognosis of MAC Patients by Age\u003c/h3\u003e\n\u003cp\u003eTo further elucidate the differences among the different groups, the diagnosis of the included patients were depicted. The 3-year OS rates for MAC patients were 84.8% in the Chinese cohort and 68.8% in the SEER cohort. For patients in the Chinese cohort, the 3-year OS rates for Group 1, Group 2 and Group 3 were 82.9%, 89.1%, and 80.0%, respectively (P\u0026thinsp;=\u0026thinsp;0.06) (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eA). There was no significant difference between Group 1 and Group 2 or between Group 1 and Group 3 (P\u0026thinsp;=\u0026thinsp;0.26 and 0.92) (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eB and \u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eC), but there was a significant difference between Group 2 and Group 3 (P\u0026thinsp;=\u0026thinsp;0.02) (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eD). The trends in the DFS rates were similar (Group 1 vs. Group 2 vs. Group 3, 80.0% vs. 85.6% vs. 79.2%, P\u0026thinsp;=\u0026thinsp;0.20) (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). In the SEER cohort, the 3-year OS rates for Group 1, Group 2 and Group 3 were 65.2%, 70.7%, and 66.2%, respectively (P\u0026thinsp;\u0026lt;\u0026thinsp;0.01)(Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eA). There was no significant difference between Group 1 and Group 2 or between Group 1 and Group 3 (P\u0026thinsp;=\u0026thinsp;0.07 and 0.83) (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eB and \u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eC), but there was a significant difference between Group 2 and Group 3 (P\u0026thinsp;=\u0026thinsp;0.02) (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eD). The prognosis of MAC differ among different age groups in Eastern populations but are similar in the Chinese cohort. Notably, the 40\u0026ndash;60 years age group had worse OS than the \u0026gt;\u0026thinsp;60 years age group in both cohorts.\u003c/p\u003e\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e\u003ch2\u003eFactors Affecting OS and DFS in MAC Patients\u003c/h2\u003e\u003cp\u003eUnivariate and multivariate analyses were conducted to assess the factors associated with the prognosis of MAC. In the Chinese cohort, LVI (HR\u0026thinsp;=\u0026thinsp;2.741, 95% CI\u0026thinsp;=\u0026thinsp;1.751\u0026ndash;4.382, P\u0026thinsp;\u0026lt;\u0026thinsp;0.01), PNI (HR\u0026thinsp;=\u0026thinsp;1.911, 95% CI\u0026thinsp;=\u0026thinsp;1.2\u0026ndash;3.043, P\u0026thinsp;\u0026lt;\u0026thinsp;0.01), and advanced TNM stage (HR\u0026thinsp;=\u0026thinsp;3.524, 95% CI\u0026thinsp;=\u0026thinsp;2.043\u0026ndash;6.079, P\u0026thinsp;\u0026lt;\u0026thinsp;0.01) were identified as risk factors for poor OS (Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). Multivariate analysis further revealed that advanced TNM stage (HR\u0026thinsp;=\u0026thinsp;2.742, 95% CI\u0026thinsp;=\u0026thinsp;1.531\u0026ndash;4.909, P\u0026thinsp;\u0026lt;\u0026thinsp;0.01) was an independent risk factor for poor OS (Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). In the SEER cohort, different age groups (P\u0026thinsp;\u0026lt;\u0026thinsp;0.01), tumour locations (P\u0026thinsp;\u0026lt;\u0026thinsp;0.01), tumour sizes\u0026thinsp;\u0026ge;\u0026thinsp;5 cm (HR\u0026thinsp;=\u0026thinsp;1.375, 95% CI\u0026thinsp;=\u0026thinsp;1.227\u0026ndash;1.541, P\u0026thinsp;\u0026lt;\u0026thinsp;0.01), and advanced TNM stages (HR\u0026thinsp;=\u0026thinsp;1.928, 95% CI\u0026thinsp;=\u0026thinsp;1.73\u0026ndash;2.148, P\u0026thinsp;\u0026lt;\u0026thinsp;0.01) were identified as independent risk factors for poor OS (Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). Multivariate analysis further revealed that tumour location (P\u0026thinsp;=\u0026thinsp;0.01), tumour size\u0026thinsp;\u0026ge;\u0026thinsp;5 cm (HR\u0026thinsp;=\u0026thinsp;1.393, 95% CI\u0026thinsp;=\u0026thinsp;1.242\u0026ndash;1.562, P\u0026thinsp;\u0026lt;\u0026thinsp;0.01) and advanced TNM stage (HR\u0026thinsp;=\u0026thinsp;1.907, 95% CI\u0026thinsp;=\u0026thinsp;1.709\u0026ndash;2.127, P\u0026thinsp;\u0026lt;\u0026thinsp;0.01) were independent risk factors for poor OS (Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). In terms of DFS, in the Chinese cohort, a tumour size\u0026thinsp;\u0026ge;\u0026thinsp;5 cm (HR\u0026thinsp;=\u0026thinsp;1.327, 95% CI\u0026thinsp;=\u0026thinsp;1.076\u0026ndash;1.495, P\u0026thinsp;=\u0026thinsp;0.02) and advanced TNM stage (HR\u0026thinsp;=\u0026thinsp;1.597, 95% CI\u0026thinsp;=\u0026thinsp;1.142\u0026ndash;2.207, P\u0026thinsp;\u0026lt;\u0026thinsp;0.01) were significant independent risk factors (Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). TNM stage remains the most important factor affecting the OS and DFS of patients with MAC. However, more attention should be given to MAC patients with tumours located in the right colon or with a tumour size larger than 5 cm, and close follow-up is necessary.\u003c/p\u003e\u003c/div\u003e"},{"header":"DISCUSSION","content":"\u003cp\u003eOur results demonstrate that age is not an independent prognostic factor for survival. However, disparities in patient cohorts make accurate comparisons difficult. For instance, some studies included cohort patients with preexisting factors predisposing them to CRC, such as a hereditary gastrointestinal cancer syndrome [10]. These factors are likely to lead to an overestimation of the incidence of CRC in the young population. Similarly, there is a lack of consensus on the definition of \u0026lsquo;young-onset CRC\u0026rsquo;, with researchers using various age cut-offs including 35, \u0026lt; 40 or \u0026lt;\u0026thinsp;50 years. In the O\u0026rsquo;Connell review, 37 (67%) of the included studies defined \u0026lsquo;young onset\u0026rsquo; as patients under the age of 40 years [10]; hence, we used this definition.\u003c/p\u003e\u003cp\u003eWith respect to clinicopathological features, our results revealed that left-sided cancer and the rectum were the most common sites of MAC in all three groups. Overall, in patients under the age of 60 years (Groups 1 and 2), left-sided tumours and the rectum accounted for more than 70% of all cases of MAC. These findings are consistent with previously published studies that reported a predilection of CRC for the left colon and rectum in younger patients [11]. Furthermore, our results revealed that the 18\u0026ndash;40-year-old group presented with advanced disease (stage III) compared with the other two groups. These findings are similar to those of the review by O\u0026rsquo;Connell et al., in which the authors demonstrated that 66% of patients under the age of 40 presented with advanced disease [10]. Similar findings have been reported in other recent studies [12\u0026ndash;13]. Some authors have suggested that the higher rate of advanced disease observed in younger patients could be attributed to delayed diagnosis because, first, younger patients are more likely to dismiss red-flag bowel symptoms. In addition, physicians are less likely to refer young patients for endoscopic investigations because their symptoms are benign [14].\u003c/p\u003e\u003cp\u003eOur studies suggest that although young patients are more likely to have advanced disease, their outcome is similar to that of older patients. This is because younger patients have better performance status and are therefore more likely to tolerate more aggressive treatment.\u003c/p\u003e\u003cp\u003eWe acknowledge several limitations to this study. For instance, factors such as a patient\u0026rsquo;s comorbidities, weight and body mass index and family history of MAC were not assessed in this study. These are clinically relevant variables that could affect survival outcomes. Another limitation is the small sample size, especially in the 18\u0026ndash;40-year age group. This limited our ability to perform stage-dependent stratification of OS and DFS between the three groups. The SEER database lacks data on whether patients have LVI or PNI and the time period from surgery to recurrence or death from any cause, which imposes limitations on the research.\u003c/p\u003e"},{"header":"CONCLUSION","content":"\u003cp\u003e\u0026nbsp;In the SEER cohort, patients \u0026lt;60 years old were more likely to have advanced TNM stages, more tumours located in the left colon and rectum, and a higher proportion of male patients. The clinicopathological features of Chinese patients in various age groups are highly similar. However, the young population aged 18\u0026ndash;40 years has more advanced TNM stages at diagnosis. Middle-aged patients have a poor outcome and should receive more attention during follow-up.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003ch2\u003eFinancial support and sponsorship\u003c/h2\u003e\u003cp\u003enone.\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eConflicts of interest:\u003c/strong\u003e\u003cp\u003eAll authors declare that there are no conflicts of interest.\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003ePresentation\u003c/strong\u003e\u003cp\u003enone.\u003c/p\u003e\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eGuarantors of integrity of entire study, all authors; study concepts/study design or data acquisition or data analysis/interpretation,B.X.L, H.Q.H, Q.L.X and C.L; manuscript drafting or manuscript revision for important intellectual content, B.X.L., Z.Z., D.N.L., H.Y.; approval of final version of submitted manuscript, all authors; agrees to ensure any questions related to the work are appropriately resolved, all authors; literature research, B.X.L., H.Q.H, X.G.; clinical studies, B.X.L, H.Q.H, Q.L.X, C.L X.G., P.Z., B.J.L., Y.M.S., M.H.Y., S.L.N.; statistical analysis, B.X.L, H.Q.H, Q.L.X, C.L, X.G., P.Z., B.J.L., Y.M.S.; and manuscript editing, B.X.L, H.Q.H, Q.L.X, C.L, Z.Z., D.N.L., H.Y.\u003c/p\u003e\u003ch2\u003eData Availability Statement:\u003c/h2\u003e\u003cp\u003eThe data that support the findings of this study will be available.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eSchreuders EH, Ruco A, Rabeneck L, et al. Colorectal cancer screening: a global overview of existing programmes. \u003cem\u003eGut\u003c/em\u003e. 2015;64(10):1637-1649. doi:10.1136/gutjnl-2014-309086\u003c/li\u003e\n\u003cli\u003e2. Luo C, Cen S, Ding G, et al. Mucinous colorectal adenocarcinoma: clinical pathology and treatment options. \u003cem\u003eCancer Communications\u003c/em\u003e. 2019;39(1):1-13. doi:10.1186/s40880-019-0361-0\u003c/li\u003e\n\u003cli\u003e3. Nagtegaal ID, Odze RD, Klimstra D, et al. The 2019 WHO classification of tumours of the digestive system. \u003cem\u003eHistopathology\u003c/em\u003e. 2019;76(2):182-188. doi:10.1111/his.13975\u003c/li\u003e\n\u003cli\u003e4. Wang X, Wang H, He H, et al. Clinicopathological and prognostic features of colorectal mucinous adenocarcinomas: a systematic review and meta-analysis. \u003cem\u003eBMC Cancer\u003c/em\u003e. 2024;24(1)doi:10.1186/s12885-024-12905-3\u003c/li\u003e\n\u003cli\u003e5. Lan Y-T, Chang S-C, Lin P-C, et al. Clinicopathological and Molecular Features of Colorectal Cancer Patients With Mucinous and Non-Mucinous Adenocarcinoma. \u003cem\u003eFrontiers in Oncology\u003c/em\u003e. 2021;11doi:10.3389/fonc.2021.620146\u003c/li\u003e\n\u003cli\u003eZhao L, Bao F, Yan J, Liu H, Li T, Chen H. Poor prognosis of young patients with colorectal cancer: a retrospective study. Int J Colorectal Dis 2017; 32: 1147\u0026ndash;56.\u003c/li\u003e\n\u003cli\u003eLaw J, Koh FH, Tan K. Young colorectal cancer patients often present too late. Int J Colorectal Dis 2017; 32: 1165\u0026ndash;9.\u003c/li\u003e\n\u003cli\u003eFu J, Yang J, Tan Y, Jiang M, Wen F. Young patients (\u0026le;35years old) with colorectal cancer have worse outcomes due to more advanced disease a 30-year retrospective review. Medicine 2014; 93: e135. 20\u003c/li\u003e\n\u003c/ol\u003e\n\u003col start=\"9\"\u003e\n\u003cli\u003eYeo SA, Chew MH, Koh PK, Tang CL. Young colorectal carcinoma patients do not have a poorer prognosis: a comparative review of 2, 426 cases. Tech Coloproctol 2013; 17: 653\u0026ndash;61.\u003c/li\u003e\n\u003cli\u003eO\u0026rsquo;Connell JB, Maggard MA, Livingston EH, Yo CK. Colorectal cancer in the young. Am J Surg 2004; 187: 343\u0026ndash;8.\u003c/li\u003e\n\u003cli\u003eSia CS, Paul E, Wale RJ, Lynch AC, Heriot AG, Warrier SK. No increase in colorectal cancer in patients under 50 years of age: a Victorian experience from the last decade. Color Dis 2014; 16: 690\u0026ndash;5.\u003c/li\u003e\n\u003cli\u003eO\u0026rsquo;Connell JB, Maggard MA, Liu JH, Etzioni DA, Livingston EH, Ko CY. Do young colon cancer patients have worse outcomes? World J Surg 2004; 28: 558\u0026ndash;62.\u003c/li\u003e\n\u003cli\u003eWang R, Wang MJ, Ping J. Clinicopathological features and survival outcomes of colorectal cancer in young versus elderly: a population-based cohort Study of SEER 9 Registries Data (1988\u0026ndash;2011). Medicine 2015; 94: e1402.\u003c/li\u003e\n\u003cli\u003eGroome PA, Webber C, Whitehead M, et al. Determining the cancer diagnostic interval using administrative health care data in a breast cancer cohort.JCO Clin Cancer Inform. 2019;3:1-10. doi:10.1200/CCI.18.00131\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cstrong\u003eTable1\u0026nbsp;\u003c/strong\u003eClinicopathological Characteristics of the Patient Cohort\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eCharacteristics\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003eChina registry\u003c/p\u003e\n \u003cp\u003en=2431\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003eSEER database\u003c/p\u003e\n \u003cp\u003en=4166\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eSex\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eMen\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e1407 (57.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e2220 (53.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eWomen\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e1024 (42.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e1946 (46.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eAge (years)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003e18-40 years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e184 (7.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e263 (6.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003e41-60 years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e955 (39.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e1521 (36.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003e＞60years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e1292 (53.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e2382 (57.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eTumor location\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eRight hemicolon\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e979 (40.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e2610 (62.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eLeft hemicolon\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e531 (21.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e990 (23.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eRectum\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e921 (37.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e566 (13.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eVascular invasion\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e544 (22.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e829 (34.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003e/\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e1058 (43.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003ePerineural invasion\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e542 (22.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e816 (33.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003e/\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e1073 (44.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eTumour size\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003e＜5cm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e791 (32.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e1596 (38.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003e\u0026ge;5cm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e1640 (67.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e2570 (61.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eT stage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eT1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e21 (0.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e231 (5.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eT2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e191 (7.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e428 (10.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eT3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e1577 (64.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e2431 (58.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eT4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e642 (26.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e1076 (25.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eN stage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eN0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e1179 (48.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e2304 (55.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eN1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e736 (30.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e1104 (26.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eN2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e516 (21.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e758 (18.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eTNM stage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e138 (5.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e520 (12.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eII\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e1041 (42.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e1784 (42.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 40.9091%;\"\u003e\n \u003cp\u003eIII\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.6364%;\"\u003e\n \u003cp\u003e1252 (51.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 29.4545%;\"\u003e\n \u003cp\u003e1862 (44.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eTable2\u0026nbsp;\u003c/strong\u003eComparison of the Clinicopathological Characteristics in SEER database of Different age groups\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"930\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003eClinicopathological Characteristics\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e18-40 years Vs. 41-60 years\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003eP\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e18-40 years\u003c/p\u003e\n \u003cp\u003eVs.\u0026nbsp;＞60years\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003eP\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e41-60 years\u003c/p\u003e\n \u003cp\u003eVs. 60years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003eSex\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e0.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003e\u0026nbsp; Men\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e162\u0026nbsp;(61.6%) / 896\u0026nbsp;(58.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e162\u0026nbsp;(61.6%)\u0026nbsp;/ 1162\u0026nbsp;(48.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e896\u0026nbsp;(58.9%)\u0026nbsp;/ 1162\u0026nbsp;(48.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003e\u0026nbsp; Women\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e101\u0026nbsp;(38.4%) / 625\u0026nbsp;(41.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e101\u0026nbsp;(38.4%)\u0026nbsp;/ 1220\u0026nbsp;(51.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e625\u0026nbsp;(41.1%)\u0026nbsp;/ 1220\u0026nbsp;(51.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003eLocation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003eRight Hemicolon\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e139\u0026nbsp;(52.9%) / 862\u0026nbsp;(56.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e139\u0026nbsp;(52.9%)\u0026nbsp;/ 1609\u0026nbsp;(67.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e862\u0026nbsp;(56.7%)\u0026nbsp;/ 1609\u0026nbsp;(67.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003eLeft Hemicolon\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e71\u0026nbsp;(27.0%) / 421\u0026nbsp;(27.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e71\u0026nbsp;(27.0%)\u0026nbsp;/ 498\u0026nbsp;(20.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e421\u0026nbsp;(27.7%)\u0026nbsp;/ 498\u0026nbsp;(20.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003eRectum\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e53\u0026nbsp;(20.1%) / 238\u0026nbsp;(15.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e53\u0026nbsp;(20.1%)\u0026nbsp;/ 275\u0026nbsp;(11.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e238\u0026nbsp;(15.6%)\u0026nbsp;/ 275\u0026nbsp;(11.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003eTumour size\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003e＜5cm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e77\u0026nbsp;(29.3%) / 561\u0026nbsp;(36.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e77\u0026nbsp;(29.3%)\u0026nbsp;/ 958\u0026nbsp;(40.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e561\u0026nbsp;(36.9%)\u0026nbsp;/ 958\u0026nbsp;(40.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003e\u0026ge;5cm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e186\u0026nbsp;(70.7%) / 960\u0026nbsp;(63.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e186\u0026nbsp;(70.7%)\u0026nbsp;/ 1424\u0026nbsp;(59.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e960\u0026nbsp;(63.1%)\u0026nbsp;/ 1424\u0026nbsp;(59.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003eT stage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003e\u0026nbsp; T1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e12\u0026nbsp;(4.6%) / 86\u0026nbsp;(5.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e12\u0026nbsp;(4.6%)\u0026nbsp;/ 133\u0026nbsp;(5.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e86\u0026nbsp;(5.6%)\u0026nbsp;/ 133\u0026nbsp;(5.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003e\u0026nbsp; T2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e19\u0026nbsp;(7.2%) / 144\u0026nbsp;(9.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e19\u0026nbsp;(7.2%)\u0026nbsp;/ 265\u0026nbsp;(11.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e144\u0026nbsp;(9.5%)\u0026nbsp;/ 265\u0026nbsp;(11.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003e\u0026nbsp; T3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e144\u0026nbsp;(54.8%) / 868\u0026nbsp;(57.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e144\u0026nbsp;(54.8%)\u0026nbsp;/ 1419\u0026nbsp;(59.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e868\u0026nbsp;(57.1%)\u0026nbsp;/ 1419\u0026nbsp;(59.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003e\u0026nbsp; T4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e88\u0026nbsp;(33.4%) / 423\u0026nbsp;(27.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e88\u0026nbsp;(33.4%)\u0026nbsp;/ 565\u0026nbsp;(23.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e423\u0026nbsp;(27.8%)\u0026nbsp;/ 565\u0026nbsp;(23.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003eN stage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e0.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003eN0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e123\u0026nbsp;(46.8%) / 807\u0026nbsp;(53.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e123\u0026nbsp;(46.8%)\u0026nbsp;/ 1374\u0026nbsp;(57.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e807\u0026nbsp;(53.0%)\u0026nbsp;/ 1374\u0026nbsp;(57.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003eN1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e85\u0026nbsp;(32.3%) / 418\u0026nbsp;(27.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e85\u0026nbsp;(32.3%)\u0026nbsp;/ 601\u0026nbsp;(25.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e418\u0026nbsp;(27.5%)\u0026nbsp;/ 601\u0026nbsp;(25.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003eN2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e55\u0026nbsp;(20.9%) / 296\u0026nbsp;(19.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e55\u0026nbsp;(20.9%)\u0026nbsp;/ 407\u0026nbsp;(17.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e296\u0026nbsp;(19.5%)\u0026nbsp;/ 407\u0026nbsp;(17.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003eTNM stage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003eI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e23\u0026nbsp;(8.8%) / 177\u0026nbsp;(11.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e23\u0026nbsp;(8.8%)\u0026nbsp;/ 320\u0026nbsp;(13.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e177\u0026nbsp;(11.6%)\u0026nbsp;/ 320\u0026nbsp;(13.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003eII\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e100\u0026nbsp;(38.0%) / 630\u0026nbsp;(41.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e100\u0026nbsp;(38.0%)\u0026nbsp;/ 1054\u0026nbsp;(44.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e630\u0026nbsp;(41.4%)\u0026nbsp;/ 1054\u0026nbsp;(44.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.0709%;\"\u003e\n \u003cp\u003eIII\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.8303%;\"\u003e\n \u003cp\u003e140\u0026nbsp;(53.2%) / 714\u0026nbsp;(47.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 12.6745%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 22.986%;\"\u003e\n \u003cp\u003e140\u0026nbsp;(53.2%)\u0026nbsp;/ 1008\u0026nbsp;(42.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6.98174%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17.4006%;\"\u003e\n \u003cp\u003e714\u0026nbsp;(47.0%)\u0026nbsp;/ 1008\u0026nbsp;(42.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.05585%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eTable3\u003c/strong\u003e Comparison of the Clinicopathological Characteristics in China registry of Different age groups\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"891\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003eClinicopathological Characteristics\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e18-40 years Vs. 41-60 years\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003eP\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e18-40 years Vs.\u0026nbsp;＞60years\u003c/p\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003eP\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e41-60 years Vs. 60years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003eP\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003eSex\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e0.97\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003e\u0026nbsp; Men\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e121 (65.8%) / 547 (57.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e121 (65.8%)\u0026nbsp;/ 739 (57.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e547 (57.3%)\u0026nbsp;/ 739\u0026nbsp;(57.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003e\u0026nbsp; Women\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e63 (34.2%) / 408 (42.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e63 (34.2%)/553 (42.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e408\u0026nbsp;(42.7%)\u0026nbsp;/ 553 (42.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003eLocation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003eRight Hemicolon\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e61 (33.1%) / 375 (39.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e61 (33.1%)\u0026nbsp;/543 (42.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e375\u0026nbsp;(39.3%)\u0026nbsp;/ 543 (42.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003eLeft Hemicolon\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e55 (29.9%) / 185 (19.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e55 (29.9%)\u0026nbsp;/ 291 (22.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e185\u0026nbsp;(19.4%)\u0026nbsp;/ 291 (22.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003eRectum\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e68 (37.0%) / 395 (41.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e68 (37.0%)\u0026nbsp;/ 458 (35.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e395\u0026nbsp;(41.3%)\u0026nbsp;/ 458 (35.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003eVascular invasion\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e0.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e0.45\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003e\u0026nbsp; Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e48 (26.1%) / 205 (21.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e48 (26.1%)\u0026nbsp;/ 291 (22.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e205\u0026nbsp;(21.5%)\u0026nbsp;/ 291 (22.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003e\u0026nbsp; No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e48 (26.1%) / 323 (33.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e48 (26.1%)\u0026nbsp;/ 458 (35.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e323\u0026nbsp;(33.8%)\u0026nbsp;/ 458 (35.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003e\u0026nbsp; /\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e88 (47.8%) / 427 (44.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e88 (47.8%)\u0026nbsp;/ 543 (34.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e427\u0026nbsp;(44.7%)\u0026nbsp;/ 543 (34.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003ePerineural invasion\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e0.40\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003e\u0026nbsp; Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e48 (26.1%) / 206 (21.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e48 (26.1%)\u0026nbsp;/ 288 (22.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e206\u0026nbsp;(21.6%)\u0026nbsp;/ 288 (22.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003e\u0026nbsp; No \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e50 (27.2%) / 314 (32.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e50 (27.2%)\u0026nbsp;/ 452 (35.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e314\u0026nbsp;(32.9%)\u0026nbsp;/ 452 (35.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003e\u0026nbsp;/\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e86 (46.7%) / 435 (45.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e86 (46.7%)\u0026nbsp;/ 552 (42.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e435\u0026nbsp;(45.5%)\u0026nbsp;/ 552 (42.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003eTumour size\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003e＜5cm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e64 (34.8%) / 321 (33.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e64 (34.8%)\u0026nbsp;/ 406 (31.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e321\u0026nbsp;(33.6%)\u0026nbsp;/ 406 (31.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003e\u0026ge;5cm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e120 (65.2%) / 634 (66.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e120 (65.2%)\u0026nbsp;/ 886 (68.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e634\u0026nbsp;(66.4%)\u0026nbsp;/ 886 (68.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003eT stage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e0.61\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003e\u0026nbsp; T1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e1 (0.5%) / 6 (0.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e1 (0.5%)\u0026nbsp;/ 14 (1.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e6\u0026nbsp;(0.6%)\u0026nbsp;/ 14 (1.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003e\u0026nbsp; T2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e7 (3.8%) / 75 (7.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e7 (3.8%)\u0026nbsp;/ 109 (8.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e75\u0026nbsp;(7.9%)\u0026nbsp;/ 109 (8.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003e\u0026nbsp; T3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e128 (69.6%) / 625 (65.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e128 (69.6%)\u0026nbsp;/ 824 (63.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e625\u0026nbsp;(65.4%)\u0026nbsp;/ 824 (63.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003e\u0026nbsp; T4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e48 (26.1%) / 249 (26.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e48 (26.1%)\u0026nbsp;/ 345 (26.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e249\u0026nbsp;(26.1%)\u0026nbsp;/345 (26.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003eN stage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e0.93\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003eN0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e72 (39.2%) / 466 (48.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e72 (39.2%) / 641 (49.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e466\u0026nbsp;(48.8%)\u0026nbsp;/ 641\u0026nbsp;(49.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003eN1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e47 (25.5%) / 296 (31.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e47 (25.5%) / 393 (30.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e296\u0026nbsp;(31.0%)\u0026nbsp;/ 393\u0026nbsp;(30.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003eN2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e65 (36.3%) / 193 (20.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e65 (36.3%) / 258 (20.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e193\u0026nbsp;(20.2%)\u0026nbsp;/ 258\u0026nbsp;(20.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003eTNM stage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e0.70\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003eI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e5 (2.7%) / 52 (5.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e5 (2.7%) / 81 (6.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e52\u0026nbsp;(5.5%)\u0026nbsp;/ 81\u0026nbsp;(6.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003eII\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e67 (36.4%) / 414 (43.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e67 (36.4%) / 560 (43.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e414\u0026nbsp;(43.3%) /\u0026nbsp;560\u0026nbsp;(43.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 14.7026%;\"\u003e\n \u003cp\u003eIII\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 19.0797%;\"\u003e\n \u003cp\u003e112 (60.9%) / 489 (51.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.51964%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 20.5387%;\"\u003e\n \u003cp\u003e112 (60.9%) / 651 (50.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7.85634%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21.3244%;\"\u003e\n \u003cp\u003e489\u0026nbsp;(51.2%)\u0026nbsp;/ 651\u0026nbsp;(50.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8.97868%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4\u0026nbsp;\u003c/strong\u003eUnivariate and multivariate analyses of factors affecting overall survival in patients\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"916\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" valign=\"top\" style=\"width: 176px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eParameters\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"6\" valign=\"top\" style=\"width: 368px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eChina registry\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"6\" valign=\"top\" style=\"width: 372px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSEER database\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" valign=\"top\" style=\"width: 186px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eUnivariate analysis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" valign=\"top\" style=\"width: 183px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMultivariate analysis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" valign=\"top\" style=\"width: 184px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eUnivariate analysis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" valign=\"top\" style=\"width: 188px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMultivariate analysis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e95%CI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 55px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 49px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e95%CI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 48px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e95%CI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 53px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e95%CI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 176px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAge\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 55px;\"\u003e\n \u003cp\u003e0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 49px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 48px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 53px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 176px;\"\u003e\n \u003cp\u003e18-40 years\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 55px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 49px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 48px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 53px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 176px;\"\u003e\n \u003cp\u003e41-60years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e0.177-1.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 55px;\"\u003e\n \u003cp\u003e0.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 49px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 48px;\"\u003e\n \u003cp\u003e1.023\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e0.825-1.268\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 53px;\"\u003e\n \u003cp\u003e0.872\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e0.697-1.091\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 176px;\"\u003e\n \u003cp\u003e＞60years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e0.395-1.104\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 55px;\"\u003e\n \u003cp\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 49px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 48px;\"\u003e\n \u003cp\u003e0.833\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e0.742-0.935\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 53px;\"\u003e\n \u003cp\u003e1.132\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e0.912-1.405\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 176px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGender Male vs. Female\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.929\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e0.575-1.499\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 55px;\"\u003e\n \u003cp\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 49px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 48px;\"\u003e\n \u003cp\u003e0.963\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e0.865-1.072\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e0.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 53px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 176px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTumor location\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 55px;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 49px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 48px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 53px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 176px;\"\u003e\n \u003cp\u003eRight\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.521\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e0.299-0.907\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 55px;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 49px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 48px;\"\u003e\n \u003cp\u003e0.765\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e0.657-0.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 53px;\"\u003e\n \u003cp\u003e0.813\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e0.697-0.949\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 176px;\"\u003e\n \u003cp\u003eLeft\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.827\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e0.467-1.464\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 55px;\"\u003e\n \u003cp\u003e0.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 49px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 48px;\"\u003e\n \u003cp\u003e0.896\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e0.755-1.064\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 53px;\"\u003e\n \u003cp\u003e0.928\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e0.781-1.102\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e0.39\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 176px;\"\u003e\n \u003cp\u003eRectum\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 55px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 49px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 48px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 53px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 176px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTumor size\u003c/strong\u003e\u003cstrong\u003e＜\u003c/strong\u003e\u003cstrong\u003e5cm vs. \u0026ge;5cm\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e1.208\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e0.715-2.044\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 55px;\"\u003e\n \u003cp\u003e0.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 49px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 48px;\"\u003e\n \u003cp\u003e1.375\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e1.227-1.541\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 53px;\"\u003e\n \u003cp\u003e1.393\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e1.242-1.562\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 176px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVascular invasion No vs. Yes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e2.741\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e1.715-4.382\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 55px;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 49px;\"\u003e\n \u003cp\u003e1.701\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e0.982-2.948\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 48px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 53px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 176px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePerineural invasion No vs. Yes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e1.911\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e1.2-3.043\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 55px;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 49px;\"\u003e\n \u003cp\u003e1.268\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e0.756-2.127\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e0.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 48px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 53px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 176px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTNM I/II vs. III\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e3.524\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e2.043-6.079\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 55px;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 49px;\"\u003e\n \u003cp\u003e2.742\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e1.531-4.909\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 48px;\"\u003e\n \u003cp\u003e1.928\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 79px;\"\u003e\n \u003cp\u003e1.73-2.148\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 53px;\"\u003e\n \u003cp\u003e1.907\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e1.709-2.127\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eTable 5\u0026nbsp;\u003c/strong\u003eUnivariate and multivariate analyses of factors affecting disease-free survival in Chinese patients\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"743\" class=\"fr-table-selection-hover\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 172px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eParameters\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" valign=\"top\" style=\"width: 286px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eM\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eUnivariate analysis\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" valign=\"top\" style=\"width: 285px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eMultivariate analysis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e95%CI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 96px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 107px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e95%CI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 82px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 172px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAge\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 96px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 107px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 82px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 172px;\"\u003e\n \u003cp\u003e18-40 years\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 96px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 107px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 82px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 172px;\"\u003e\n \u003cp\u003e41-60years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e1.239\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e0.904-1.697\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e0.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 96px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 107px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 82px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 172px;\"\u003e\n \u003cp\u003e＞60years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e0.894\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e0.654-1.223\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 96px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 107px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 82px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 172px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTumor location\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 96px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 107px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 82px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 172px;\"\u003e\n \u003cp\u003eRight\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e0.656\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e0.462-0.932\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 96px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 107px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 82px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 172px;\"\u003e\n \u003cp\u003eLeft\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e0.561-1.258\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e0.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 96px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 107px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 82px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 172px;\"\u003e\n \u003cp\u003eRectum\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 96px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 107px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 82px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 172px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTumor size\u003c/strong\u003e\u003cstrong\u003e＜\u003c/strong\u003e\u003cstrong\u003e5cm vs. \u0026ge;5cm\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e0.628\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e0.46-0.858\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 96px;\"\u003e\n \u003cp\u003e1.327\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 107px;\"\u003e\n \u003cp\u003e1.076-1.495\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 82px;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 172px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVascular invasion No vs. Yes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e1.828\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e1.279-2.611\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 96px;\"\u003e\n \u003cp\u003e1.485\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 107px;\"\u003e\n \u003cp\u003e0.982-2.241\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 82px;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 172px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePerineural invasion No vs. Yes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e1.493\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e1.021-2.160\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 96px;\"\u003e\n \u003cp\u003e1.118\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 107px;\"\u003e\n \u003cp\u003e0.735-1.696\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 82px;\"\u003e\n \u003cp\u003e0.60\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 172px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTNM I/II vs. III\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e1.825\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 115px;\"\u003e\n \u003cp\u003e1.334-2.495\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 96px;\"\u003e\n \u003cp\u003e1.597\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 107px;\"\u003e\n \u003cp\u003e1.142-2.207\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 82px;\"\u003e\n \u003cp\u003e＜0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-7729545/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7729545/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e\u003cp\u003eThe clinicopathological and prognostic features of different age groups of patients with colorectal cancer (CRC) differ greatly. However, the impact of age on the clinicopathological features and prognosis of colorectal mucinous adenocarcinoma (MAC) remains underexplored.\u003c/p\u003e\u003ch2\u003eMaterials and Methods\u003c/h2\u003e\u003cp\u003eClinicopathological data of CRC patients who underwent curative surgery and were pathologically diagnosed with MAC across 23 hospitals in China from 2016 to 2021 were collected. Data from MAC patients in the Surveillance, Epidemiology, and End Results (SEER) database were also collected. The clinicopathologic features and prognosis of MAC in patients in different age groups were analysed.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e\u003cp\u003eThe clinicopathological features of MAC patients in different age groups significantly differed. In both the SEER cohort and the Chinese cohort, patients\u0026thinsp;\u0026gt;\u0026thinsp;60 years old were more likely to be female, have larger tumours, and have a lower pathological N category and TNM category (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05). In the SEER cohort, significant differences were observed in OS among the young, middle-aged, and elderly patient groups (65.2% vs. 70.7% vs. 66.2%, P\u0026thinsp;\u0026lt;\u0026thinsp;0.01). In the Chinese cohort, the OS rates were similar (82.9% vs. 89.1% vs. 80.0%, P\u0026thinsp;=\u0026thinsp;0.06). There was no significant difference in DFS among the young, middle-aged, and elderly groups (80.0% vs. 85.6% vs. 79.2%, P\u0026thinsp;=\u0026thinsp;0.20).\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e\u003cp\u003eIn the SEER cohort, patients\u0026thinsp;\u0026lt;\u0026thinsp;60 years old had more cases with advanced TNM stages, more patients with tumours located in the left colon and rectum, and a higher proportion of male patients. The clinicopathological features were similar among the three groups, except that the young population aged 18\u0026ndash;40 years had more advanced TNM stages at diagnosis in the Chinese cohort. Patients in the 40\u0026ndash;60 years age group had worse OS than those in the \u0026gt;\u0026thinsp;60 age group. Young MAC patients should receive more attention because of their aggressive features and poor diagnosis.\u003c/p\u003e","manuscriptTitle":"Clinicopathological characteristics and prognosis of colorectal mucinous adenocarcinoma in different age groups of patients: A nationwide retrospective study in China","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-10-27 14:27:16","doi":"10.21203/rs.3.rs-7729545/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"ba6d5d98-92ca-41a5-9a8f-f5be02af75b8","owner":[],"postedDate":"October 27th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-11-01T13:08:39+00:00","versionOfRecord":[],"versionCreatedAt":"2025-10-27 14:27:16","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7729545","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7729545","identity":"rs-7729545","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}