{"paper_id":"593f6d9e-19ce-443d-9503-b0f1fae342ba","body_text":"The Taiwan National Health Insurance program was established on March 1, 1995, by the Bureau of National Health Insurance. More than 99% of the Taiwanese population is enrolled into this program. 14  The National Health Research Institutes was commissioned to National Health Insurance Research Databases (NHIRDs) for research proposals. The identification codes of beneficiaries were scrambled by a computer.\nThe NHIRDs consist of comprehensive health care data provided to researchers, including ambulatory care records, inpatient care records, registration files, catastrophic illness files, and various data regarding drug prescriptions. In this study, we used the Longitudinal Health Insurance Database, which is a sub–data set of NHIRDs and contains 1 million beneficiaries randomly selected from those enrolled in the insurance program. The Longitudinal Health Insurance Database contained insurant information, outpatient and inpatient visits, and medical treatment records between January 1, 1996, and December 31, 2010.\nThe NHRI reported that there were no statistically significant differences in age or sex between the randomly sampled group and all beneficiaries of the NHI program. To improve claims data accuracy, the NHRI invited expert reviews on a random sample of every 50 to 100 ambulatory and inpatient claims in each hospital, and clinic routine practice of performing cross-checks and validations of medical claims ensures the accuracy of the NHIRDs diagnostic coding.\nThe design of the current work was a population-based retrospective cohort study. We selected patients with the diagnosis of endometriosis ( International Classification of Diseases, Ninth Revision, Clinical Modification  [ICD-9-CM] code 617.X) from January 1, 1997, to December 31, 2000, as the case cohort. Accordingly, each patient in the case cohort was matched on the basis of age, sex, and index year to 8 randomly identified beneficiaries without endometriosis to build the control cohort. To minimize the influence of possible “reverse causation,” 15  we excluded those subjects with a diagnosis of endometrial cancer before the diagnosis of endometriosis. The date of the initial diagnosis of endometriosis was assigned as the baseline date for each patient. To improve data accuracy, the endometriosis selection criteria required that all case ICD-9 codes are assigned by a gynecologist and the patients must have the diagnosis of endometriosis for at least 2 times in the same year in outpatient clinic record. Selection criteria for endometrial cancer patients (ICD-9-CM code 182) were assigned by a gynecologic oncologist. We selected endometrial cancer cases in this study only if they received 2 or more endometrial cancer diagnoses for ambulatory care visit or 2 or more diagnoses for inpatient care. All study subjects were followed from the baseline date to the first event, which was defined as occurrence of endometrial cancer up to the end of 2010.\nPatients diagnosed with endometrial cancer before or after the study period were excluded from both cohorts. We also identified relevant comorbidities, including hypertension (ICD-9-CM 401.X-405.X), diabetes mellitus (ICD-9-CM 250.X), and hyperlipidemia (ICD-9-CM 272.X) for both the case cohort and the control cohort.\nFor the investigation of urbanization, all 365 townships in Taiwan were stratified into 7 levels according to the standards established by the Taiwanese NHRI based on a cluster analysis of the 2000 Taiwan census data, with 1 referring to the most urbanized area and 7 referring to the least urbanized. The criteria on which these strata were determined included the population density (persons per square kilometer), the number of physicians per 100,000 people, the percentage of people with a college education, the percentage of people older than 65 years, and the percentage of agricultural workers. Because levels 4, 5, 6, and 7 contained few endometriosis cases, they were combined into a single group and were recoded as level 4.\nAll data processing and statistical analyses were performed with SPSS 20 (SPSS, Chicago, IL) and SAS 8.2 (SAS System for Windows; SAS Institute, Cary, NC). The Pearson χ 2  test was used to compare differences in geographic location, monthly income, and urbanization level of patients’ residences between the case and control cohorts. Event occurrence (defined as occurrence of endometrial cancer) was analyzed using the Kaplan-Meier method. The elapsed period was calculated for the patients who had endometriosis until the occurrence of endometrial cancer or the end of the study period (December 31, 2010), whichever came first. After adjusting for urbanization level, monthly income, resident region, and comorbidities as potential confounders, we performed a Cox proportional hazards analysis stratified by age at first diagnosis of endometriosis to investigate the risk for developing endometrial cancer during the 10-year follow-up period in both cohorts. We further classified the age factors in both groups. Hazard ratio and 95% confidence interval (CI) were calculated to quantify the risk for developing endometrial cancer. The results of comparisons with a 2-sided  P  value of less than 0.05 were considered to represent statistically significant differences.\nInsurance reimbursement claims adopted in this study were from Taiwan’s NHIRDs, which are available for research purposes. This study was conducted in accordance with the Helsinki Declaration. This study was also evaluated and approved by the institutional review board of Taipei Veterans General Hospital.\n\nThe case cohort contained 15,488 patients diagnosed with endometriosis, whereas 123,904 patients were included in the control cohort. Distributions of demographic characteristics and comorbidities for both the case and the control cohort are shown in Table  1 . Hyperlipidemia ( P  < 0.001), diabetes mellitus ( P  < 0.001), and obesity ( P  < 0.001) were more prevalent in the case cohort than in the control cohort. The case cohort also harbored a greater tendency to earn a lower monthly income ( P  = 0.014), reside in the southern area of Taiwan, and reside in the middle levels of urbanization communities ( P  = 0.003) compared with the control cohort. In contrast, the control cohort has a higher rate of hypertension ( P  < 0.001).\nDemographic characteristics for the recruited participants, stratified by presence/absence of endometriosis from 1997 to 2000\nIn total, there were 392 participants who were newly diagnosed with endometrial cancer during the 10-year follow-up, with 104 in the case cohort (0.7%) and 288 in the control cohort (0.2%). The Kaplan-Meier survival curves demonstrate significantly lower event-free rates in the case cohort than in the control cohort ( P  = 0.001, log-rank test) (Fig.  1 ). Moreover, the incidence density was also higher in the case cohort (0.68 per 1000 patient-years) than in the control cohort (0.23 per 1000 patient-years).\nDistribution of endometrial cancer–free rates between the case and the control cohort from 1997 to 2000.\nThe crude hazard ratio for event occurrence of endometrial cancer was 2.91-fold higher for the case cohort than for the control cohort (95% CI, 1.54–5.48; univariable Cox regression analysis). Furthermore, after adjusting for potential confounders, the hazard ratio did not change significantly, with a 2.83-fold greater risk in the case cohort than that in the control cohort (95% CI, 1.49–5.35; multivariable Cox regression analysis) (Table  2 ).\nHazard ratios of endometrial cancer among endometriosis patients during the 10-year follow-up period from the index ambulatory visits or inpatient care from 1997 to 2000\nNext, we asked whether age at diagnosis of endometriosis posed any moderator effect on the occurrence of endometrial cancer. Age at diagnosis of endometriosis was divided into 2 groups (≤40 years vs >40 years). When the age at diagnosis of endometriosis is 40 years or younger, there is a non–statistically different 1.42-fold higher adjusted hazard ratio in the case cohort than in the control cohort (95% CI, 0.55–3.70). Whereas when the age at diagnosis of endometriosis is older than 40 years, there is a statistically different 7.08-fold higher adjusted hazard ratio in the case cohort than in the control cohort (95% CI, 2.33–21.55) (Table  3 ).\nHazard ratios for endometrial cancer among the case cohort and the control cohort by age group\nLastly, we evaluated whether there is a difference for stage distribution between the case cohort and the control cohort. For the occurrence of endometrial cancer, there is no difference with respect to stage distribution between the case cohort and the control cohort (Table  4 ).\nDistribution of endometrial cancer among the case cohort and the control cohort by stage\n\nThe result of our work indicates that patients with endometriosis harbor a higher risk for developing endometrial cancer. Although endometriosis is a benign disease, still, multiple lines of evidence suggest that endometriosis could be viewed as a neoplastic process, including the increased susceptibility to develop some subtypes of epithelial ovarian cancer as well as molecular similarities between endometriosis and cancer. 16  It is estimated that ovarian endometriosis has a 0.7% malignant transformation risk 17  and 4.2 times greater risk for developing ovarian cancer. 18  Furthermore, a study by Zaino et al 13  showed that endometriosis was identified in approximately 30% of the cases with synchronous endometrioid type endometrial and ovarian cancers.\nAlthough the association between endometriosis and ovarian cancer has been extensively investigated, in contrast, the association between endometriosis and endometrial cancer has rarely been reported. 18 – 21  The results of our work show discrepancy with the published articles. The potential reasons may include selection bias (because most endometriosis cases are underdiagnosed), different study design (cohort study design of our work vs case-control design of the published articles), different ethnic group, and different baseline demographics.\nThe underlying molecular mechanisms by which these 2 disorders are connected remain uncertain. However, there are 2 putative shared mechanisms: estrogen stimulation and chronic inflammation. For the first mechanism, like uterine or breast cancer, endometriosis behaves as an estrogen-dependent disorder, specifically adapting to estrogen-induced signaling, by increased local production of estrogen through enhanced expression of aromatase cytochrome P450 expression but deficient 17β-hydroxysteroid dehydrogenase type 2 expression (which impairs inactivation of potent estradiol to less-potent estrone). 22  Evidence has further shown that there is pathological overexpression of estrogen receptor β (ERβ) in endometriotic stromal cells, resulting from deficient methylation of the ERβ promoter, which also suppress estrogen α (ERα) expression. 23  Studies in endometrial carcinoma has demonstrated paralleled high ERβ-to-ERα ratio, with the amount of ERα messenger RNA significantly lower in poorly differentiated endometrial cancer. 24 – 26  Furthermore, progesterone receptor has been viewed as a classic ERα target gene. High ERβ-to-ERα ratio in endometriotic stromal cells might contribute to the suppressed progesterone receptor and thus causes progesterone resistance, which might contribute to progesterone treatment failure in patients with endometriosis and/or endometrial cancer. 23\nFor the second mechanism, the impact of chronic inflammation may play another critical role. Endometriosis tissue is associated with overproduction of prostaglandins, cytokines, and chemokines. 27  Among these, cyclooxygenase 2 (COX-2), a rate-limiting enzyme in the biosynthesis of prostaglandin E2, increased in both endometriosis and endometrial cancer patients. 28  Prostaglandin E2 promotes the initial carcinogenesis process and further consolidates tumor progression by increasing cell proliferation and neoangiogenesis while decreasing in situ immune performance. 29\nThe impact of estrogen stimulation and chronic inflammation may not be mutually exclusive. Association between COX-2 and aromatase expression with increased estrogen production has been investigated. The process regulates COX-2 in a positive feedback loop. 30 , 31  Fowler et al 28  found aromatase expression in 65% of endometrial cancer patients compared with nonexpression in normal endometrium; the results showed no difference in different histology groups. A study by Collins et al 25  found a high ratio of COX-2 detected in patients with ER-positive endometrial cancer. On the basis of the above descriptions, the interconnection between COX-2, ER, and aromatase is close and might exert a synergetic effect, and, as such, there is association between endometriosis and endometrial cancer via the link by chronic inflammation.\nThe strengths of our study include its use of a population-based database that is highly representative of the general population. Still, certain limitations to our findings should be considered. First, we selected patients only by ICD code; potential bias including patient selection and diagnosis criteria might be present. Second, the NHIRDs data set does not contain detailed information regarding parity, menstrual status, and hormonal use, all of which may be potential risk factors of endometriosis and/or endometrial cancer. These unmeasured variables may produce a confounding bias if it is associated with the studied exposure and disease simultaneously. 32  Third, the evidence derived from a retrospective cohort study is generally lower in research quality than that from randomized trials. To this end, further prospective cohort studies with adequate sample size are needed to verify the temporal association between endometriosis and endometrial cancer.\nTo summarize, the findings in this study included increased association of endometriosis with endometrial cancer. The pathogenesis in endometriosis and endometrial cancer is complicated and the etiopathogenesis of both disorders is multifactorial, but there may exist a yet unidentified common link. The putative linking mechanisms may contain both estrogen stimulation and chronic inflammation. However, much work is still needed to fully explain the exact mechanisms between these 2 disorders.","source_license":"CC0","license_restricted":false}