Clinical Impact of PD-L1 Expression in Triple Negative Breast Cancer Patients With Residual Tumor Burden After Neoadjuvant Chemotherapy

Clinical Impact of PD-L1 Expression in Triple Negative Breast Cancer Patients With Residual Tumor Burden After Neoadjuvant Chemotherapy | 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 Help Center Sign In Submit a Preprint Cite Share Download PDF Research Clinical Impact of PD-L1 Expression in Triple Negative Breast Cancer Patients With Residual Tumor Burden After Neoadjuvant Chemotherapy Gizem Oner, Semen Onder, Hüseyin Karatay, Naziye Ak, Mustafa Tukenmez, and 7 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-338452/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 13 You are reading this latest preprint version Abstract Background: Studies on PD-L1 expression in breast cancer have gained importance in recent years, especially in triple negative breast cancer (TNBC). Our aim was to analyse the differential expression of PD-L1 to explore its correlation with response to neoadjuvant chemotherapy (NACT) and patient survival. Methods: PD-L1 expression was evaluated immunohistochemically (Ventana SP263 clone kit) by staining tumor specimen. PD-L1 positivity was defined as membranous staining >1%, >5%, >10% and >20% on either tumor cell (TC) and /or immune cell (IC). Results : Fifty patients with locally advanced TNBC, who had a partial response to NACT, were included in the study. Twenty-nine patients (58%) were detected to be positive for PD-L1 on both TCs and ICs, whereas 25 patients (50%) were positive for TC PD-L1 expression, and PD-L1 on ICs was detected (44%) in 23 patients. Patients with PD-L1 positivity on ICs were more likely to respond to chemotherapy as measured by “MD Anderson Cancer Center Residual Cancer Burden Index” (14/22, 63.6%, versus 10/27, 37%, p = 0.064). The 5-year disease-free survival (DFS) and disease-specific survival (DSS) rates were 46.3% and 51.4%, respectively. A high ( > 20%) tumoral PD-L1 positivity was associated with a better DFS and DSS. Conclusions: Our results suggest that patients with a high TC PD-L1 expression were more likely to have a better outcome. Since patients with residual TCs expressing PD-L1 on TILs were more likely to respond to NACT, an immune checkpoint inhibitor therapy in addition to NACT would be an important option for TNBC with locally advanced disease. Oncology triple negative breast cancer PD-L1 expression prognosis neoadjuvant chemotherapy response Figures Figure 1 Figure 2 Introduction Triple negative breast cancer (TNBC) is a heterogeneous type of breast cancer that is characterized by the absence of expression of estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor-2/neu (HER-2). TNBC has a high degree of aggressiveness, and generally has a worse prognosis than other types of breast cancer [ 1 , 2 ]. TNBC still lacks targeted treatment options, therefore chemotherapy remains the main treatment method. The use of neoadjuvant chemotherapy (NAC) is the standard of care in TNBC, including early stage. Patient who has a pathologic complete response (pCR) with NAC is characterized wıth improved survival outcome [ 3 – 5 ]. The complex role of the immune system in breast cancer growth, elimination and metastasis has been the object of increased attention especially in TNBC. Recent evidence highlights the pivotal role of immune checkpoint receptors in TNBC. On the other hand, there are no approved targeted therapies for TNBC in the neoadjuvant setting. Early results from clinical trials with inhibitors of this pathway have validated its potential as a target for cancer immunotherapy. PD-1 is an important immune checkpoint molecule, which together with its principal ligand PD-L1 is an important target in the clinics for TNBC [ 6 , 7 ]. Tumors can escape antitumor immune activity by exploiting up-regulated PD-L1 expression in the tumor microenvironment [ 8 , 9 ]. Although considerable research has been devoted to PD-L1 expression level in TNBC, less attention has been paid to PD-L1 prognostic value in survival. This paper attempts to shed light on PD-L1 expression in neoadjuvant treatment TNBC and its correlation with clinical outcome. Material And Methods Of 853 patients diagnosed with locally advanced breast cancer between 2002 and 2018, had neoadjuvant chemotherapy at Istanbul University, Faculty of Medicine Department of General Surgery. Of those, 50 patients with TNBC were included in following study. After the neoadjuvant treatment, patients with pathological complete response were excluded. Two patients with inflammatory breast cancer and 6 patients with metaplastic breast cancer were also included. Demographic characteristics, tumor characteristics and follow-up time were analysed retrospectively. Estrogen and progesterone receptors and c-erb-B2 were examined immunohistochemically (IHC). Expressions < 1% for estrogen receptors (ER) and progesterone receptors (PR) were considered negative. Immunohistochemical evaluation of c-erb-B2 was performed according to the percentage of staining of the invasive carcinoma cells and the staining quality (weak-medium-strong/incomplete-complete membrane) and in accordance with the suggestions by American Society of Clinical Oncology/College of American Pathologists (ASCO / CAP). Immunostaining score of 0 is considered negative; while scores 1 + and 2 + were confirmed by fluorescence in-situ hybridization (FISH) or by chromogenic in-situ hybridization (CISH). The determination of these markers has been a standard part of the pathology report at our hospital. For this reason, patients with TNBC were selected based on the results of the previous pathology reports. Tumor paraffin block sections with excess lymphocyte expression were selected. PD-L1 expression was detected by using "Rabbit monoclonal antibody, Ventana SP263 Clone kit" with an automatic device (VENTANA BenchMark automatic slide staining device). A placenta tissue was used as a control group. Immunohistochemical Evaluation and Scoring Positive staining rates (x400, HPF) of tumor cell (TC) and /or immune cell (IC) were evaluated under the light microscope. Membranous staining % ≥ 1 on TCs and/or ICs was considered positive for PD-L1, while % ≥ 5 and % ≥ 10 and % ≥ 20 stainings were considered as high PD-L1 expression. “MD Anderson Cancer Center Residual Cancer Burden Index” was used to measure chemotherapy response. The following parameters are required in order to calculate Residual Cancer Burden (RCB) after neoadjuvant treatment: a) The two largest dimensions of the residual tumor bed (the largest tumor bed in multi-centric cases is included in the calculation), b) The histologic assessment of the percentage of the tumor bed area that contains carcinoma, c) The histologic estimate of the percentage of the carcinoma in the tumor bed that is in-situ, d) The number of metastatic lymph nodes e) The diameter of the largest lymph node metastasis. These variables were loaded to the MD Anderson Residual Cancer Calculator (www3.mdanderson.org/app/medcalc/index.cfm?pagename = jsconvert3), and then "RCB" was obtained, and the residual cancer classification was made according to this scoring. In this classification, 0 = is associated with pathological complete response, whereas 3 = is considered as chemotherapy resistant Statistical Analysis The statistical analysis of the study was performed by using the statistical software program SPSS 17 (Statistical Package for Social Sciences; SPSS, Inc, Chicago, IL). A p value less than 0.05 was considered statistically significant. Categorical variables were evaluated by Fisher’s exact test. Disease-free survival rates were analysed by considering local and systemic metastases, and disease-specific survival rates were analysed by considering breast cancer-related mortality. Kaplan-Meier analyses were used for the survival curves test also known as Mantel-Cox test log rank test, and log rank test was used to compare factors affecting outcome. Results Clinical and Pathological Findings Median age was 47.5 (24–76) years. The demographic and pathological characteristics of the patients are shown in Table 1 . When clinically evaluated before neoadjuvant chemotherapy three patients were T1 (6%), 18 patients were T2 (36%), 7 patients were T3 (14%) and 22 patients were T4 (44 %). All of these patients received anthracycline & taxane chemotherapy protocols, and three patients (6%) received additional platinum chemotherapy regimen. Two of these patients (4%) were N0 before neoadjuvant chemotherapy, 30 of them patients were N1 (60 %), 11 patients (22%) were N2 and 14% (n = 7) of the patients were clinically N3. Only one of the patients was known to have bone metastasis before neoadjuvant chemotherapy. Following the neoadjuvant chemotherapy, modified radical mastectomy was performed on the majority of patients (62%) (Table 1 ). Twenty-two of the patients were pT1 (44%), 16 patients (32%) were pT2, 9 patients (18%) were pT3 and 3 patients (6%) were pT4. Furthermore, 17 (34%) patients had pathological complete response in axillary lymph nodes diagnosed with pN0, 14 patients (28%) with pN1, 9 patients (18%) with pN2 and 10 patients with pN3 (20%) following NAC. In 82.3% of the patients, Ki-67 score was ≥ %20, and 72.2% of patients had Ki-67 score ≥ 35%. Table 1 Demographic and pathological features of patients Patients Characteristics N = 50 (%) Median Age 47.5 (min-maks; 24–76) Premenopausal 23 (46%) Postmenopausal 27 (54%) Family history Yes 6 (12%) No 44 (88%) Clinic T T1 3 (6%) T2 18 (36%) T3 7 (14%) T4 22 (44 %) Clinic N N0 2 (4 %) N1 30 (60 %) N2 11 (22 %) N3 7 (14 %) Pathological T T1 22 (44%) T2 16 (32%) T3 9 (18 %) T4 3 (6 %) Pathological N N0 17 (34%) N1 14 (28%) N2 9 (18%) N3 10 (20%) Surgical Procedures Modified radical mastectomy 31 (62%) Mastectomy& SLNB (+) &ALND 5 (10%) Mastectomy&SLNB (-) 3 (6%) BCS &ALND 3 (6%) BCS &SLNB (+) & ALND 4 (8%) BCS& SLNB (-) 4 (8%) Pathological findings Invasive ductal carcinoma 39 (78%) Invasive lobuler carcinoma 3 (6%) Metaplastic 6 (12%) Invasive ductal carcinoma + invasive lobuler carcinoma 1 (2%) Undifferentiated carcinoma 1 (2%) BCS: Breast Conserving Surgery, SLNB: Sentinel Lymph Node Biopsy, ALND: Axillary Lymph Node Dissection Since one patient had a residual tumor tissue only in the lymphovascular area, the residual cancer evaluation could not be done for that patient. The response of patients to chemotherapy was evaluated by the "MD Anderson Cancer Center Residual Cancer Burden Index". The median score was 3.49 (0.72–5.07) and chemotherapy response was worse in 27 patients (55.1%) (class III). The chemotherapy response was moderate in 20 patients (40.8%, class II), while 2 patients (4.1%, class I) responded well to chemotherapy (Table 2 ). Table 2 MD Anderson Cancer Center Residual Cancer Burden Index Residual Cancer Score N = 49* Class I 2 (4.1 %) Class II 20 (40.8 %) Class III 27 (55.1 %) *The MD Anderson Cancer Center Residual Cancer Burden Index cannot be calculated in one patient with tumor cells present only in the lymphovascular space. Immunohistochemical Staining Findings When PD-L1 > 1% was considered positive, PD-L1 staining was been observed on TCs in 25 patients (50%) and on ICs in 23 patients (46%) (Fig. 1 ). PD-L1 positivity on TCs and/or ICs was seen in 26 patients (52%) (Table 3 ). PD-L1 > 5% positivity was detected on TCs in 16 patients (32%) and on the ICs in 21 patients (42%). In addition, PD-L1 > 10% positivity was found on TCs in 13 patients (26%) and on the ICs in 15 patients (30%). Furthermore, PD-L1 > 20% positivity was considered to be high expression, which was detected on TCs in 7 patients (14%) and on the ICs in 6 patients (12%). Table 3 PD-L1 staining patterns and neoadjuvant chemotherapy response in TNBC patients PD-L1 Staining N = 50 Class I&II (n = 22) Class III (n = 27) P -value Tumoral PD-L1 ≥ %1 25 (50 %) 11 14 0.999 TILs PD-L1 ≥ %1 23 (46 %) 14 10 0.064* Tumoral and/or TILs PD-L1 ≥ %1 29 (58%) 14 15 0.771 Tumoral PD-L1 ≥ %5 16 8 8 0.761 TILs PD-L1 ≥ %5 21 11 10 0.398 Tumoral and/or TILs PD-L1 ≥ %5 23 12 11 0.396 Tumoral PD-L1 ≥ %10 13 7 6 0.525 TILs PD-L1 ≥ %10 15 8 7 0.538 Tumoral and/or TILs PD-L1 ≥ %10 19 10 9 0.556 Tumoral PD-L1 ≥ %20 7 4 3 0.685 TILs PD-L1 ≥ %20 6 2 4 0.678 Tumoral and/or TILs PD-L1 ≥ %20 9 4 5 0.999 Tumor Infiltrating (stromal) lymphocytes (= TILs) PD-L1 expression was found in all of the patients with inflammatory breast cancer (n = 2) and in 5 of 6 patients with metaplastic breast cancer. In Pearson Correlation analysis, PD-L1 expression on ICs and TCs correlated with high significance (p = 0.0001, Pearson correlation 0.550). According to Residual Cancer Index, good/medium responders (n = 22) and bad responders (n = 27) were analysed with Fisher test in relationship to positivity of PD-L1 on TCs or ICs. It was seen that PD-L1 positivity was highly expressed on ICs (14/22, 63.6%, versus 10/27, 37%, p = 0.064) in the group that responded better to chemotherapy. However, this did not reach statistical significance level. There was no statistical significance between PD-L1 expression on TCs and/or ICs and chemotherapy response. The median follow-up time was 35 months (7-207). The 5-year DFS and DSS were 46.3% and 51.4% for the whole cohort, respectively. In Kaplan Meier analysis, patients with > 20% tumoral PD-L1 expressions had a better 5-year disease specific survival rate (DSS) and better 5- year disease free survival rate (DFS). It was a statistical significance (DFS; p = 0.041 and DSS p = 0.049) (Fig. 2 ). Furthermore, the other associations regarding different PD-L1 expression and DFS or DSS were not found statistically significant (Table 4). Discussion PD-L1 is expressed on the different cell types, including TCs and ICs (10). The presence of PD-L1 in the tumor microenvironment seems to indicate an immune resistance to endogenous antitumor activity [ 11 ]. Studies on PD-L1 expression in breast cancer have gained importance in recent years. In these studies, different rates of PD-L1 expression are seen in each of the breast cancer subgroups. For this reason, the frequency of PD-L1 expression varies in studies [ 12 – 14 ]. The prognostic and predictive values of PD-L1 in published studies are also controversial [ 12 – 18 ]. Different results in publications are due to the different methods to determine PD-L1 expression (determination of mRNA expression by IHC expression, using paraffin tissue blocks, using tissue microarray, different monoclonal kits used in IHC staining) and the differences in scoring systems. Gonzalez-Ericsson et al reported that results on TNBC showed discrepancies between SP142, SP263, and 22C3 assays. SP142 has a lower PD-L1 expression on both TC and IC compared to other assays [ 19 ]. Moreover, some drug studies also have begun to use Combined Positive Score (CPS), which is the number of PD-L1 staining cells (tumor cells, lymphocytes, macrophages) divided by the total number of viable tumor cells, multiplied by 100 [ 20 ]. In the study by Soliman et al. with flow cytometry on breast cancer subgroups, PD-L1 expression was shown to be greater in the basal-type cancer group than in the luminal group [ 21 ]. Ghebeh et al. demonstrated in their studies that PD-L1 expression is associated with the tumor characteristics such as a high grade, estrogen receptor negativity and an increased T- regulatory (T-reg) expression [ 22 , 23 ]. The first study that investigated PD-L1 expression (defined as cell-surface membrane staining > 5%) in breast cancer found a higher PD-L1 expression in TNBCs as compared to non-TNBCs ( p < 0.001) [ 13 ]. Furthermore, intratumoral CD8 + T cells were more likely to be found in the PD-L1 positive group compared to the others [ 13 ]. According to the results of a study of Li et al., PD-L1 was more likely to be expressed on immune cells in regards to tumor cells and the prevalence of PD-L1 was found to express in similar rates on primary and metastatic TNBC samples [ 24 ]. Our study was carried out in the locally advanced TNBC patients who received neoadjuvant chemotherapy. Because of different PD-L1 scoring systems are used in literature, we decided to utilize different cut-off values for PD-L1 expression. It is critical to appreciate the true impact of the PD-L1 expression level in TME so that PD-L1 positivity was defined as any membranous staining ≥ %1, whereas ≥ %5 and ≥ %10 and ≥ %20 staining were considered as high PD-L1 positivity. The correlation between PD-L1 levels and inhibition of anticancer immunity is currently unknown and also different level of PD-L1 expression might have different significant biological consequences. Beckers et al. firstly pointed out that PD-L1 also express on TILs in breast cancer (25). Our study also confirmed that the percentage of PD-L1 expression on lymphocyte and tumor was highly correlated (p = 0.0001). Bianchini et al. stated in their study that c-erb-B2 positive patients with increased expression of PD-L1 had impaired immunological control mechanisms, resulting in poor response to neoadjuvant chemotherapy [ 17 ]. In another study, it was shown that patients with high expression of PD-L1 was associated with a higher rate of pathologically complete response rate compared to the other group (50% vs. 21%) [ 12 ]. In this study, the patients were mostly chemotherapy-resistant and the chemotherapy response in this patient group was assessed by the “MD Anderson Cancer Center Residue Cancer Burden Index Neoadjuvant chemotherapy response”. The analytical results of this study supported the view that the PD-L1 expression on ICs correlated with better to chemotherapy response. (14/22, 63.6%, versus 10/27, 37%, p = 0.064). There are also controversial results in published studies regarding the prognostic effect of PD-L1 expression. In the study by Muenst et al. patients with increased PD-L1 expression were found to have a poor prognosis (8). Contrarily, Schalper et al showed that patients with high PD-L1 expression on the ICs had a better prognosis [ 18 ]. In our study, there was a significant difference between 5-year DFS rates and DSS rates among the patients with ≥ %20 tumoral strong staining PD-L1 positivity and PD-L1 negativity. In other words, high PDL-1 expression on TCs was associated with longer survival rate and this result shows that PDL-1 expression on TCs may be more important than expected as a predictive and prognostic marker. In addition, Keynote-119 first finding was showed that pembrolizumab monotherapy versus chemotherapy did not significantly increased overall survival (OS) in metastatic TNBC. On the other hand, median OS was 14.9 months with pembrolizumab versus 12.5 months with chemotherapy (Hazard ratio [HR], 0.58; 95% CI, 0.38–0.88) in patients with a Combined Positive Score (CPS) ≥ 20 [ 20 ]. PD-1/PD-L1 inhibitory treatment in neoadjuvant setting is becoming more important. PD-L1 expression on ICs is also associated with clinical benefit from PD-1/PD-L1 inhibitors therapy, as demonstrated in both non-small cell lung cancer and urothelial cancer [ 26 , 27 ]. Currently, several large randomized studies showed that PD-1/PD-L1 inhibitors in combination with neoadjuvant chemotherapy for advanced TNBC breast cancer were associated with important clinical benefit [ 28 , 29 ]. In the I-SPY-2 trial, paclitaxel was administered with or without pembrolizumab, followed by doxorubicin with cyclophosphamide in women with locally advanced HER2- disease [ 28 ]. The estimated pCR was approximately 20% in the control arm versus 60% in the arm containing pembrolizumab for the subcategory of women with TNBC. The phase III IMpassion 130 trial enrolled 902 patients with metastatic TNBC who had not received prior treatment for metastatic disease [ 29 ]. Patients were randomly selected to standard chemotherapy (nab-paclitaxel) plus atezolizumab, a PD-L1 inhibitor, or to standard chemotherapy plus placebo. A clinical benefit with atezolizumab- nab-paclitaxel was particularly notable in the PD-L1 positive group. Objective response rate was higher with the combination compared to chemotherapy alone for all patients (56% versus 46%) and those with PD-L1 positive tumors (58.9% versus 42.6%). The KEYNOTE-173 study showed that PD-L1 CPS and sTIL levels were strongly correlated with each other [ 30 ]. For this reason, it was not clear whether they are independent predictors or prognostic factors. In the GeparNuevo study, PD-L1 expression on TCs with SP263 predicted the response to durvalumab in the neoadjuvant setting [ 31 ]. Conclusion It is widely accepted that PD-L1 is highly expressed in TNBC. On the other hand, there are different findings in the literature about the predictive and prognostic value of PD-L1 expression regarding its level and expression pattern. PD-L1 expression on the ICs may be indicative for a better prognosis enabling with a higher response rate to chemotherapy, whereas high PD-L1 expression on TCs may be more associated with DFS and DSS. However, questions regarding which PD-L1 expression levels are more significant or whether PD-L1 expression on ICs or TCs is more predictive and prognostic, are to be answered. In the future, PD-1/PD-L1 inhibition will also be an alternative adjuvant treatment option for TNBC patients with the residual tumor burden after neoadjuvant chemotherapy but further investigations are necessary to improve our understanding of PD-L1. Declarations Compliance with Ethical Standarts: Ethics approval and consent to participate: All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Authors declare that the subjects have given their informed consent and that the study protocol has been approved by the institute’s committee on human research (2017/122). Consent for Publication : Not applicable Availability of data and material The datasets during and/or analysed during the current study available from the corresponding author on reasonable request. Competing interests The following authors “Neslihan Cabioglu , Semen Onder, Gizem Oner, Hüseyin Karatay, Mustafa Tukenmez, Mahmut Muslumanoglu, Abdullah İgci, Ahmet Dincçağ, Naziye Ak, Adnan Aydiner, Ekrem Yavuz, Vahit Ozmen have no conflict of interest. Funding This project is supported by the Istanbul University, Department of Scientific Research Projects (ID26409/TTU-2017-26409), and Istanbul Breast Society. Acknowlegements: The authors also thank to Mrs Fatma Yilmaz, and Julide Hocaoğlu for their meticulous technical assistance in immunohistochemical staining. Authors’ contributions: The study was designed by NC and GO. The initial search, literature organization, analyses and manuscript writing were performed by GO, NC, SO, HK, and NA. Critical comments and typesetting corrections on the final version were made by MT, MM, AI, AD, VO, AA and EY. The manuscript was finalized by NC and GO. All authors have read and revised the manuscript critically. 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Also discoverable on Platform About Our Team In Review Editorial Policies 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-338452","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research","associatedPublications":[],"authors":[{"id":19315333,"identity":"58ee8eba-4e42-4fc8-bd55-f09a8b3750ff","order_by":0,"name":"Gizem Oner","email":"","orcid":"","institution":"Istanbul University Istanbul Faculty of Medicine: Istanbul Universitesi Istanbul Tip Fakultesi","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Gizem","middleName":"","lastName":"Oner","suffix":""},{"id":19315334,"identity":"48768c14-26e1-47d1-a745-e319feda6d9d","order_by":1,"name":"Semen Onder","email":"","orcid":"","institution":"Istanbul University Istanbul Faculty of Medicine: Istanbul Universitesi Istanbul Tip Fakultesi","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Semen","middleName":"","lastName":"Onder","suffix":""},{"id":19315335,"identity":"a3ea2d19-a997-4399-80af-285378d19bc4","order_by":2,"name":"Hüseyin Karatay","email":"","orcid":"","institution":"Istanbul University Istanbul Faculty of Medicine: Istanbul Universitesi Istanbul Tip Fakultesi","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Hüseyin","middleName":"","lastName":"Karatay","suffix":""},{"id":19315336,"identity":"9179bd45-6443-47f8-85c0-435e2aeb72e4","order_by":3,"name":"Naziye Ak","email":"","orcid":"","institution":"Istanbul University Istanbul Faculty of Medicine: Istanbul Universitesi Istanbul Tip Fakultesi","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Naziye","middleName":"","lastName":"Ak","suffix":""},{"id":19315337,"identity":"8588ddb3-3307-43b9-aba9-572b4b25f5ab","order_by":4,"name":"Mustafa Tukenmez","email":"","orcid":"","institution":"Istanbul University Istanbul Faculty of Medicine: Istanbul Universitesi Istanbul Tip Fakultesi","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Mustafa","middleName":"","lastName":"Tukenmez","suffix":""},{"id":19315338,"identity":"d0393736-64b6-4817-86a1-ee3c605211bf","order_by":5,"name":"Mahmut Muslumanoglu","email":"","orcid":"","institution":"Istanbul University Istanbul Faculty of Medicine: Istanbul Universitesi Istanbul Tip Fakultesi","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Mahmut","middleName":"","lastName":"Muslumanoglu","suffix":""},{"id":19315339,"identity":"8fe51602-bd61-4e44-8a9b-2092ba6aa23c","order_by":6,"name":"Abdullah Igci","email":"","orcid":"","institution":"Istanbul University Istanbul Faculty of Medicine: Istanbul Universitesi Istanbul Tip Fakultesi","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Abdullah","middleName":"","lastName":"Igci","suffix":""},{"id":19315340,"identity":"51042f9c-1167-4ee7-bb5b-0f3cef608e99","order_by":7,"name":"Ahmet Dinccag","email":"","orcid":"","institution":"Istanbul University Istanbul Faculty of Medicine: Istanbul Universitesi Istanbul Tip Fakultesi","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Ahmet","middleName":"","lastName":"Dinccag","suffix":""},{"id":19315341,"identity":"3c5f73f3-d7d1-4c40-bdc0-eebf39f3b4ab","order_by":8,"name":"Vahit Ozmen","email":"","orcid":"","institution":"Istanbul University Istanbul Faculty of Medicine: Istanbul Universitesi Istanbul Tip Fakultesi","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Vahit","middleName":"","lastName":"Ozmen","suffix":""},{"id":19315342,"identity":"d5efc88e-fdc7-479f-9e7b-41ce6ffdabc8","order_by":9,"name":"Adnan Aydiner","email":"","orcid":"","institution":"Istanbul University Istanbul Faculty of Medicine: Istanbul Universitesi Istanbul Tip Fakultesi","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Adnan","middleName":"","lastName":"Aydiner","suffix":""},{"id":19315343,"identity":"6ab25baa-968e-43b5-acf1-2251a938a43d","order_by":10,"name":"Ekrem Yavuz","email":"","orcid":"","institution":"Istanbul University School of Medicine: Istanbul Universitesi Istanbul Tip Fakultesi","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Ekrem","middleName":"","lastName":"Yavuz","suffix":""},{"id":19315344,"identity":"d8d827bb-855f-4b22-82a1-428b8b632245","order_by":11,"name":"Neslihan Cabioglu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAyUlEQVRIiWNgGAWjYHACxgMJDAwJ/AwMbMTrAWuRbCBJCxAnGBwgVos5e/uDAw9q7PKMbyQ/e/ChgkGeX+wAfi2WPWcMDiQcSy42u5FmbjjjDIPhzNkJ+LUY3MhhOJDYwJy47UaCmTRvG9CFtwlpuf/8AVBLfeLmGenfiNRyg8EAqOVw4gaJHGJtOZMD8svxYokzb8okZ5yRIMIvx48/fPijpjqPvz19m8SHCht5fmkCWhBAAKxSgljlIMB/gBTVo2AUjIJRMJIAAJz5SW3iENUVAAAAAElFTkSuQmCC","orcid":"https://orcid.org/0000-0002-0989-7411","institution":"Istanbul Universitesi Istanbul Tip Fakultesi","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Neslihan","middleName":"","lastName":"Cabioglu","suffix":""}],"badges":[],"createdAt":"2021-03-18 00:06:26","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-338452/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-338452/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":7584164,"identity":"a9f65fa2-b4c3-4b8a-9e85-58dbe30493ab","added_by":"auto","created_at":"2021-04-01 20:32:45","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":539304,"visible":true,"origin":"","legend":"a. PD-L1 immunohistochemical expression is 20% on the tumor and 10% on the TILs (x400, HPF); \nb. PD-L1 immunohistochemical expression is 25% on the tumor and 20% on the TILs (x400, HPF); \nc. PD-L1 immunohistochemical expression is 15% on the tumor and 20% on the TILs (x400, HPF); \nd. 1- PD-L1 immunohistochemical expression on the tumor 2% and 10% on the TILs (x400, HPF).\n","description":"","filename":"Figure1..jpg","url":"https://assets-eu.researchsquare.com/files/rs-338452/v1/466aceda3ac278acc1a36093.jpg"},{"id":7584527,"identity":"0a30b1ac-10c2-4a51-9c15-5577bbee3ff1","added_by":"auto","created_at":"2021-04-01 20:35:45","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":423969,"visible":true,"origin":"","legend":"a. 5- year Disease Specific Survival (DSS); b. 5 -year Disease Free Survival (DFS); c. High tumor PD-L1 (+) (\u003e20%) expression (positive=1, negative=0) and disease-specific survival; d. High tumor PD-L1 (+) (\u003e20%) expression (positive=1, negative=0) and disease-free survival ","description":"","filename":"floatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-338452/v1/77d37dda356cf0846752c9a4.png"},{"id":13683540,"identity":"8961684d-389e-43bf-b31d-093cd976242c","added_by":"auto","created_at":"2021-09-17 12:02:59","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":764734,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-338452/v1/3bbfdadf-bcad-4f43-a406-5730f971b572.pdf"}],"financialInterests":"","formattedTitle":"Clinical Impact of PD-L1 Expression in Triple Negative Breast Cancer Patients With Residual Tumor Burden After Neoadjuvant Chemotherapy","fulltext":[{"header":"Introduction","content":" \u003cp\u003eTriple negative breast cancer (TNBC) is a heterogeneous type of breast cancer that is characterized by the absence of expression of estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor-2/neu (HER-2). TNBC has a high degree of aggressiveness, and generally has a worse prognosis than other types of breast cancer [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. TNBC still lacks targeted treatment options, therefore chemotherapy remains the main treatment method. The use of neoadjuvant chemotherapy (NAC) is the standard of care in TNBC, including early stage. Patient who has a pathologic complete response (pCR) with NAC is characterized wıth improved survival outcome [\u003cspan additionalcitationids=\"CR4\" citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe complex role of the immune system in breast cancer growth, elimination and metastasis has been the object of increased attention especially in TNBC. Recent evidence highlights the pivotal role of immune checkpoint receptors in TNBC. On the other hand, there are no approved targeted therapies for TNBC in the neoadjuvant setting. Early results from clinical trials with inhibitors of this pathway have validated its potential as a target for cancer immunotherapy. PD-1 is an important immune checkpoint molecule, which together with its principal ligand PD-L1 is an important target in the clinics for TNBC [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. Tumors can escape antitumor immune activity by exploiting up-regulated PD-L1 expression in the tumor microenvironment [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eAlthough considerable research has been devoted to PD-L1 expression level in TNBC, less attention has been paid to PD-L1 prognostic value in survival. This paper attempts to shed light on PD-L1 expression in neoadjuvant treatment TNBC and its correlation with clinical outcome.\u003c/p\u003e "},{"header":"Material And Methods","content":" \u003cp\u003e Of 853 patients diagnosed with locally advanced breast cancer between 2002 and 2018, had neoadjuvant chemotherapy at Istanbul University, Faculty of Medicine Department of General Surgery. Of those, 50 patients with TNBC were included in following study. After the neoadjuvant treatment, patients with pathological complete response were excluded. Two patients with inflammatory breast cancer and 6 patients with metaplastic breast cancer were also included. Demographic characteristics, tumor characteristics and follow-up time were analysed retrospectively.\u003c/p\u003e \u003cp\u003eEstrogen and progesterone receptors and c-erb-B2 were examined immunohistochemically (IHC). Expressions\u0026thinsp;\u0026lt;\u0026thinsp;1% for estrogen receptors (ER) and progesterone receptors (PR) were considered negative. Immunohistochemical evaluation of c-erb-B2 was performed according to the percentage of staining of the invasive carcinoma cells and the staining quality (weak-medium-strong/incomplete-complete membrane) and in accordance with the suggestions by American Society of Clinical Oncology/College of American Pathologists (ASCO / CAP). Immunostaining score of 0 is considered negative; while scores 1\u0026thinsp;+\u0026thinsp;and 2\u0026thinsp;+\u0026thinsp;were confirmed by fluorescence in-situ hybridization (FISH) or by chromogenic in-situ hybridization (CISH). The determination of these markers has been a standard part of the pathology report at our hospital. For this reason, patients with TNBC were selected based on the results of the previous pathology reports.\u003c/p\u003e \u003cp\u003eTumor paraffin block sections with excess lymphocyte expression were selected. PD-L1 expression was detected by using \"Rabbit monoclonal antibody, Ventana SP263 Clone kit\" with an automatic device (VENTANA BenchMark automatic slide staining device). A placenta tissue was used as a control group.\u003c/p\u003e \u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eImmunohistochemical Evaluation and Scoring\u003c/h2\u003e \u003cp\u003ePositive staining rates (x400, HPF) of tumor cell (TC) and /or immune cell (IC) were evaluated under the light microscope. Membranous staining %\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e1 on TCs and/or ICs was considered positive for PD-L1, while %\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e 5 and %\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e10 and %\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e20 stainings were considered as high PD-L1 expression.\u003c/p\u003e \u003cp\u003e\u0026ldquo;MD Anderson Cancer Center Residual Cancer Burden Index\u0026rdquo; was used to measure chemotherapy response. The following parameters are required in order to calculate Residual Cancer Burden (RCB) after neoadjuvant treatment: a) The two largest dimensions of the residual tumor bed (the largest tumor bed in multi-centric cases is included in the calculation), b) The histologic assessment of the percentage of the tumor bed area that contains carcinoma, c) The histologic estimate of the percentage of the carcinoma in the tumor bed that is in-situ, d) The number of metastatic lymph nodes e) The diameter of the largest lymph node metastasis. These variables were loaded to the MD Anderson Residual Cancer Calculator (www3.mdanderson.org/app/medcalc/index.cfm?pagename\u0026thinsp;=\u0026thinsp;jsconvert3), and then \"RCB\" was obtained, and the residual cancer classification was made according to this scoring. In this classification, 0\u0026thinsp;=\u0026thinsp;is associated with pathological complete response, whereas 3\u0026thinsp;=\u0026thinsp;is considered as chemotherapy resistant\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003eStatistical Analysis\u003c/h2\u003e \u003cp\u003eThe statistical analysis of the study was performed by using the statistical software program SPSS 17 (Statistical Package for Social Sciences; SPSS, Inc, Chicago, IL). A \u003cem\u003ep value less than 0.05\u003c/em\u003e was considered statistically significant. Categorical variables were evaluated by Fisher\u0026rsquo;s exact test. Disease-free survival rates were analysed by considering local and systemic metastases, and disease-specific survival rates were analysed by considering breast cancer-related mortality. Kaplan-Meier analyses were used for the survival curves test also known as Mantel-Cox test log rank test, and log rank test was used to compare factors affecting outcome.\u003c/p\u003e \u003c/div\u003e "},{"header":"Results","content":" \u003cp\u003eClinical and Pathological Findings\u003c/p\u003e \u003cp\u003eMedian age was 47.5 (24\u0026ndash;76) years. The demographic and pathological characteristics of the patients are shown in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. When clinically evaluated before neoadjuvant chemotherapy three patients were T1 (6%), 18 patients were T2 (36%), 7 patients were T3 (14%) and 22 patients were T4 (44 %). All of these patients received anthracycline \u0026amp; taxane chemotherapy protocols, and three patients (6%) received additional platinum chemotherapy regimen. Two of these patients (4%) were N0 before neoadjuvant chemotherapy, 30 of them patients were N1 (60 %), 11 patients (22%) were N2 and 14% (n\u0026thinsp;=\u0026thinsp;7) of the patients were clinically N3. Only one of the patients was known to have bone metastasis before neoadjuvant chemotherapy. Following the neoadjuvant chemotherapy, modified radical mastectomy was performed on the majority of patients (62%) (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). Twenty-two of the patients were pT1 (44%), 16 patients (32%) were pT2, 9 patients (18%) were pT3 and 3 patients (6%) were pT4. Furthermore, 17 (34%) patients had pathological complete response in axillary lymph nodes diagnosed with pN0, 14 patients (28%) with pN1, 9 patients (18%) with pN2 and 10 patients with pN3 (20%) following NAC. In 82.3% of the patients, Ki-67 score was \u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e%20, and 72.2% of patients had Ki-67 score\u0026thinsp;\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e\u0026thinsp;35%.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eDemographic and pathological features of patients\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"2\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePatients Characteristics\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eN\u0026thinsp;=\u0026thinsp;50 (%)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMedian Age\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e47.5 (min-maks; 24\u0026ndash;76)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePremenopausal\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e23 (46%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePostmenopausal\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e27 (54%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFamily history\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eYes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6 (12%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e44 (88%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eClinic T\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eT1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3 (6%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eT2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e18 (36%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eT3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7 (14%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eT4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e22 (44 %)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eClinic N\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eN0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2 (4 %)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eN1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e30 (60 %)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eN2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e11 (22 %)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eN3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7 (14 %)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePathological T\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eT1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e22 (44%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eT2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e16 (32%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eT3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e9 (18 %)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eT4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3 (6 %)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePathological N\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eN0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e17 (34%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eN1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e14 (28%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eN2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e9 (18%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eN3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e10 (20%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSurgical Procedures\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eModified radical mastectomy\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e31 (62%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMastectomy\u0026amp; SLNB (+) \u0026amp;ALND\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5 (10%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMastectomy\u0026amp;SLNB (-)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3 (6%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBCS \u0026amp;ALND\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3 (6%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBCS \u0026amp;SLNB (+) \u0026amp; ALND\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4 (8%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBCS\u0026amp; SLNB (-)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4 (8%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePathological findings\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eInvasive ductal carcinoma\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e39 (78%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eInvasive lobuler carcinoma\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3 (6%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMetaplastic\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6 (12%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eInvasive ductal carcinoma\u0026thinsp;+\u0026thinsp;invasive lobuler carcinoma\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1 (2%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUndifferentiated carcinoma\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1 (2%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"2\"\u003eBCS: Breast Conserving Surgery, SLNB: Sentinel Lymph Node Biopsy, ALND: Axillary Lymph Node Dissection\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eSince one patient had a residual tumor tissue only in the lymphovascular area, the residual cancer evaluation could not be done for that patient. The response of patients to chemotherapy was evaluated by the \"MD Anderson Cancer Center Residual Cancer Burden Index\". The median score was 3.49 (0.72\u0026ndash;5.07) and chemotherapy response was worse in 27 patients (55.1%) (class III). The chemotherapy response was moderate in 20 patients (40.8%, class II), while 2 patients (4.1%, class I) responded well to chemotherapy (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eMD Anderson Cancer Center Residual Cancer Burden Index\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"2\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eResidual Cancer Score\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eN\u0026thinsp;=\u0026thinsp;49*\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eClass I\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e2 (4.1 %)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eClass II\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e20 (40.8 %)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eClass III\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e27 (55.1 %)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cem\u003e*The MD Anderson Cancer Center Residual Cancer Burden Index cannot be calculated in one patient with tumor cells present only in the lymphovascular space.\u003c/em\u003e\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eImmunohistochemical Staining Findings\u003c/p\u003e \u003cp\u003eWhen PD-L1\u0026thinsp;\u0026gt;\u0026thinsp;1% was considered positive, PD-L1 staining was been observed on TCs in 25 patients (50%) and on ICs in 23 patients (46%) (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e1\u003c/span\u003e). PD-L1 positivity on TCs and/or ICs was seen in 26 patients (52%) (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). PD-L1\u0026thinsp;\u0026gt;\u0026thinsp;5% positivity was detected on TCs in 16 patients (32%) and on the ICs in 21 patients (42%). In addition, PD-L1\u0026thinsp;\u0026gt;\u0026thinsp;10% positivity was found on TCs in 13 patients (26%) and on the ICs in 15 patients (30%). Furthermore, PD-L1\u0026thinsp;\u0026gt;\u0026thinsp;20% positivity was considered to be high expression, which was detected on TCs in 7 patients (14%) and on the ICs in 6 patients (12%).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003ePD-L1 staining patterns and neoadjuvant chemotherapy response in TNBC patients\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePD-L1 Staining\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eN\u0026thinsp;=\u0026thinsp;50\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eClass I\u0026amp;II (n\u0026thinsp;=\u0026thinsp;22)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eClass III\u003c/p\u003e \u003cp\u003e(n\u0026thinsp;=\u0026thinsp;27)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cem\u003eP\u003c/em\u003e-value\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTumoral PD-L1 \u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e%1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e25 (50 %)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.999\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTILs PD-L1 \u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e%1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e23 (46 %)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.064*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTumoral and/or TILs PD-L1\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e%1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e29 (58%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.771\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTumoral PD-L1 \u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e%5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.761\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTILs PD-L1 \u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e%5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.398\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTumoral and/or TILs PD-L1\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e%5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e23\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.396\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTumoral PD-L1 \u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e%10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.525\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTILs PD-L1 \u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e%10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.538\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTumoral and/or TILs PD-L1 \u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e%10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.556\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTumoral PD-L1 \u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e%20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.685\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTILs PD-L1 \u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e%20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.678\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTumoral and/or TILs PD-L1 \u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e%20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.999\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003eTumor Infiltrating (stromal) lymphocytes (=\u0026thinsp;TILs)\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003ePD-L1 expression was found in all of the patients with inflammatory breast cancer (n\u0026thinsp;=\u0026thinsp;2) and in 5 of 6 patients with metaplastic breast cancer. In Pearson Correlation analysis, PD-L1 expression on ICs and TCs correlated with high significance (p\u0026thinsp;=\u0026thinsp;0.0001, Pearson correlation 0.550). According to Residual Cancer Index, good/medium responders (n\u0026thinsp;=\u0026thinsp;22) and bad responders (n\u0026thinsp;=\u0026thinsp;27) were analysed with Fisher test in relationship to positivity of PD-L1 on TCs or ICs. It was seen that PD-L1 positivity was highly expressed on ICs (14/22, 63.6%, versus 10/27, 37%, p\u0026thinsp;=\u0026thinsp;0.064) in the group that responded better to chemotherapy. However, this did not reach statistical significance level. There was no statistical significance between PD-L1 expression on TCs and/or ICs and chemotherapy response.\u003c/p\u003e \u003cp\u003eThe median follow-up time was 35 months (7-207). The 5-year DFS and DSS were 46.3% and 51.4% for the whole cohort, respectively. In Kaplan Meier analysis, patients with \u0026gt;\u0026thinsp;20% tumoral PD-L1 expressions had a better 5-year disease specific survival rate (DSS) and better 5- year disease free survival rate (DFS). It was a statistical significance (DFS; p\u0026thinsp;=\u0026thinsp;0.041 and DSS p\u0026thinsp;=\u0026thinsp;0.049) (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e2\u003c/span\u003e). Furthermore, the other associations regarding different PD-L1 expression and DFS or DSS were not found statistically significant (Table\u0026nbsp;4).\u003c/p\u003e "},{"header":"Discussion","content":" \u003cp\u003ePD-L1 is expressed on the different cell types, including TCs and ICs (10). The presence of PD-L1 in the tumor microenvironment seems to indicate an immune resistance to endogenous antitumor activity [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. Studies on PD-L1 expression in breast cancer have gained importance in recent years. In these studies, different rates of PD-L1 expression are seen in each of the breast cancer subgroups. For this reason, the frequency of PD-L1 expression varies in studies [\u003cspan additionalcitationids=\"CR13\" citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. The prognostic and predictive values of PD-L1 in published studies are also controversial [\u003cspan additionalcitationids=\"CR13 CR14 CR15 CR16 CR17\" citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. Different results in publications are due to the different methods to determine PD-L1 expression (determination of mRNA expression by IHC expression, using paraffin tissue blocks, using tissue microarray, different monoclonal kits used in IHC staining) and the differences in scoring systems. Gonzalez-Ericsson et al reported that results on TNBC showed discrepancies between SP142, SP263, and 22C3 assays. SP142 has a lower PD-L1 expression on both TC and IC compared to other assays [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. Moreover, some drug studies also have begun to use Combined Positive Score (CPS), which is the number of PD-L1 staining cells (tumor cells, lymphocytes, macrophages) divided by the total number of viable tumor cells, multiplied by 100 [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. In the study by Soliman et al. with flow cytometry on breast cancer subgroups, PD-L1 expression was shown to be greater in the basal-type cancer group than in the luminal group [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. Ghebeh et al. demonstrated in their studies that PD-L1 expression is associated with the tumor characteristics such as a high grade, estrogen receptor negativity and an increased T- regulatory (T-reg) expression [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. The first study that investigated PD-L1 expression (defined as cell-surface membrane staining\u0026thinsp;\u0026gt;\u0026thinsp;5%) in breast cancer found a higher PD-L1 expression in TNBCs as compared to non-TNBCs (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001) [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. Furthermore, intratumoral CD8\u003csup\u003e+\u003c/sup\u003e T cells were more likely to be found in the PD-L1 positive group compared to the others [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. According to the results of a study of Li et al., PD-L1 was more likely to be expressed on immune cells in regards to tumor cells and the prevalence of PD-L1 was found to express in similar rates on primary and metastatic TNBC samples [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]. Our study was carried out in the locally advanced TNBC patients who received neoadjuvant chemotherapy. Because of different PD-L1 scoring systems are used in literature, we decided to utilize different cut-off values for PD-L1 expression. It is critical to appreciate the true impact of the PD-L1 expression level in TME so that PD-L1 positivity was defined as any membranous staining \u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e%1, whereas \u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e%5 and \u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e%10 and \u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e%20 staining were considered as high PD-L1 positivity. The correlation between PD-L1 levels and inhibition of anticancer immunity is currently unknown and also different level of PD-L1 expression might have different significant biological consequences. Beckers et al. firstly pointed out that PD-L1 also express on TILs in breast cancer (25). Our study also confirmed that the percentage of PD-L1 expression on lymphocyte and tumor was highly correlated (p\u0026thinsp;=\u0026thinsp;0.0001).\u003c/p\u003e \u003cp\u003eBianchini et al. stated in their study that c-erb-B2 positive patients with increased expression of PD-L1 had impaired immunological control mechanisms, resulting in poor response to neoadjuvant chemotherapy [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. In another study, it was shown that patients with high expression of PD-L1 was associated with a higher rate of pathologically complete response rate compared to the other group (50% vs. 21%) [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. In this study, the patients were mostly chemotherapy-resistant and the chemotherapy response in this patient group was assessed by the \u0026ldquo;MD Anderson Cancer Center Residue Cancer Burden Index Neoadjuvant chemotherapy response\u0026rdquo;. The analytical results of this study supported the view that the PD-L1 expression on ICs correlated with better to chemotherapy response. (14/22, 63.6%, versus 10/27, 37%, p\u0026thinsp;=\u0026thinsp;0.064).\u003c/p\u003e \u003cp\u003eThere are also controversial results in published studies regarding the prognostic effect of PD-L1 expression. In the study by Muenst et al. patients with increased PD-L1 expression were found to have a poor prognosis (8). Contrarily, Schalper et al showed that patients with high PD-L1 expression on the ICs had a better prognosis [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. In our study, there was a significant difference between 5-year DFS rates and DSS rates among the patients with \u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e\u0026ge;\u003c/span\u003e%20 tumoral strong staining PD-L1 positivity and PD-L1 negativity. In other words, high PDL-1 expression on TCs was associated with longer survival rate and this result shows that PDL-1 expression on TCs may be more important than expected as a predictive and prognostic marker. In addition, Keynote-119 first finding was showed that pembrolizumab monotherapy versus chemotherapy did not significantly increased overall survival (OS) in metastatic TNBC. On the other hand, median OS was 14.9 months with pembrolizumab versus 12.5 months with chemotherapy (Hazard ratio [HR], 0.58; 95% CI, 0.38\u0026ndash;0.88) in patients with a Combined Positive Score (CPS)\u0026thinsp;\u0026ge;\u0026thinsp;20 [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e].\u003c/p\u003e \u003cp\u003ePD-1/PD-L1 inhibitory treatment in neoadjuvant setting is becoming more important. PD-L1 expression on ICs is also associated with clinical benefit from PD-1/PD-L1 inhibitors therapy, as demonstrated in both non-small cell lung cancer and urothelial cancer [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. Currently, several large randomized studies showed that PD-1/PD-L1 inhibitors in combination with neoadjuvant chemotherapy for advanced TNBC breast cancer were associated with important clinical benefit [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. In the I-SPY-2 trial, paclitaxel was administered with or without pembrolizumab, followed by doxorubicin with cyclophosphamide in women with locally advanced HER2- disease [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]. The estimated pCR was approximately 20% in the control arm versus 60% in the arm containing pembrolizumab for the subcategory of women with TNBC. The phase III IMpassion 130 trial enrolled 902 patients with metastatic TNBC who had not received prior treatment for metastatic disease [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. Patients were randomly selected to standard chemotherapy (nab-paclitaxel) plus atezolizumab, a PD-L1 inhibitor, or to standard chemotherapy plus placebo. A clinical benefit with atezolizumab- nab-paclitaxel was particularly notable in the PD-L1 positive group. Objective response rate was higher with the combination compared to chemotherapy alone for all patients (56% versus 46%) and those with PD-L1 positive tumors (58.9% versus 42.6%). The KEYNOTE-173 study showed that PD-L1 CPS and sTIL levels were strongly correlated with each other [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e]. For this reason, it was not clear whether they are independent predictors or prognostic factors. In the GeparNuevo study, PD-L1 expression on TCs with SP263 predicted the response to durvalumab in the neoadjuvant setting [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e].\u003c/p\u003e "},{"header":"Conclusion","content":" \u003cp\u003eIt is widely accepted that PD-L1 is highly expressed in TNBC. On the other hand, there are different findings in the literature about the predictive and prognostic value of PD-L1 expression regarding its level and expression pattern. PD-L1 expression on the ICs may be indicative for a better prognosis enabling with a higher response rate to chemotherapy, whereas high PD-L1 expression on TCs may be more associated with DFS and DSS. However, questions regarding which PD-L1 expression levels are more significant or whether PD-L1 expression on ICs or TCs is more predictive and prognostic, are to be answered. In the future, PD-1/PD-L1 inhibition will also be an alternative adjuvant treatment option for TNBC patients with the residual tumor burden after neoadjuvant chemotherapy but further investigations are necessary to improve our understanding of PD-L1.\u003c/p\u003e "},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eCompliance with Ethical Standarts: \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate: \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Authors declare that the subjects have given their informed consent and that the study protocol has been approved by the institute\u0026rsquo;s committee on human research (2017/122).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for Publication\u003c/strong\u003e\u003cstrong\u003e: Not\u0026nbsp; applicable\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and material\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets during and/or analysed during the current study available from the corresponding author on reasonable request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe following authors \u0026ldquo;Neslihan Cabioglu , Semen Onder,\u0026nbsp; Gizem Oner, H\u0026uuml;seyin Karatay, Mustafa Tukenmez, Mahmut Muslumanoglu, Abdullah İgci, Ahmet Dinc\u0026ccedil;ağ, Naziye Ak, Adnan Aydiner,\u0026nbsp; Ekrem Yavuz,\u0026nbsp; Vahit Ozmen have no conflict of interest.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u0026nbsp;\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis project is supported by the Istanbul University, Department of Scientific Research Projects (ID26409/TTU-2017-26409), and Istanbul Breast Society.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowlegements:\u003c/strong\u003e The authors also thank to Mrs Fatma Yilmaz, and Julide Hocaoğlu for their meticulous technical assistance in immunohistochemical staining.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026rsquo; contributions:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study was designed by NC and GO. The initial search, literature organization, analyses and manuscript writing were performed by GO, NC, SO, HK, and NA. Critical comments and typesetting corrections on the final version were made by MT, MM, AI, AD, VO, AA and EY. The manuscript was finalized by NC and GO. All authors have read and revised the manuscript critically.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eBadve S, Dabbs DJ, Schnitt SJ, et al. Basal-like and triple-negative breast cancers: a critical review with an emphasis on the implications for pathologists and oncologists. 2011 Feb; 24(2): 157\u0026ndash;67. doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1038/modpathol.2010\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDent R, Trudeau M, Pritchard KI, et al. Triple-negative breast cancer: clinical features and patterns of recurrence. Clin Cancer Res. 2007 Aug 1;13(15 Pt 1):4429-34.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHuober J, von Minckwitz G, Denkert C, et al. Effect of neoadjuvant anthracycline-taxane-based chemotherapy in different biological breast cancer phenotypes: overall results from the GeparTrio study. Breast Cancer Res Treat. 2010;124(1):133\u0026ndash;40.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGerberB,LoiblS,EidtmannH,etal;GermanBreastGroupInvestiga- tors. Neoadjuvant bevacizumab and anthracycline-taxane-based che- motherapy in 678 triple-negative primary breast cancers; results from the geparquinto study (GBG 44). Ann Oncol. 2013;24(12):2978\u0026ndash;84.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eYardley DA, Shipley DL, Peacock NW, et al. Phase I/II trial of neo- adjuvant sunitinib administered with weekly paclitaxel/carboplatin in patients with locally advanced triple-negative breast cancer. 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In situ tumor PD-L1 mRNA expression is associated with increased TILs and better outcome in breast carcinomas. Clin Cancer Res. 2014;20:2773\u0026ndash;82.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGonzalez-Ericsson PI, Stovgaard ES, Sua LF,et al. The path to a better biomarker: application of a risk management framework for the implementation of PD-L1 and TILs as immuno-oncology biomarkers in breast cancer clinical trials and daily practice. J Pathol. 2020;250(5):667\u0026ndash;84.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCort\u0026eacute;s J, Lipatov O, Im S-A, et al. KEYNOTE-119: Phase III study of pembrolizumab (pembro) versus single-agent chemotherapy (chemo) for metastatic triple negative breast cancer (mTNBC). Presented at: European Society of Medical Oncology (ESMO) Congress 2019; September 27-October 1, 2019: Barcelona, Spain. Abstract LBA21.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSoliman H, Khalil F, Antonia S. 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Ann Oncol. 2019;30:1279\u0026ndash;88.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":true,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"world-journal-of-surgical-oncology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"wjso","sideBox":"Learn more about [World Journal of Surgical Oncology](http://wjso.biomedcentral.com)","snPcode":"12957","submissionUrl":"https://submission.nature.com/new-submission/12957/3","title":"World Journal of Surgical Oncology","twitterHandle":"@OncoBioMed","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"triple negative breast cancer, PD-L1 expression, prognosis, neoadjuvant chemotherapy response","lastPublishedDoi":"10.21203/rs.3.rs-338452/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-338452/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground:\u003c/strong\u003e Studies on PD-L1 expression in breast cancer have gained importance in recent years, especially in triple negative breast cancer (TNBC). Our aim was to analyse the differential expression of PD-L1 to explore its correlation with response to neoadjuvant chemotherapy (NACT) and patient survival.\u003c/p\u003e\u003cp\u003e\u0026nbsp;\u003cstrong\u003eMethods: \u003c/strong\u003ePD-L1 expression was evaluated immunohistochemically (Ventana SP263 clone kit) by staining tumor specimen. PD-L1 positivity was defined as membranous staining \u0026gt;1%, \u0026gt;5%, \u0026gt;10% and \u0026gt;20% on either tumor cell (TC) and /or immune cell (IC).\u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eResults\u003c/strong\u003e: Fifty patients with locally advanced TNBC, who had a partial response to NACT, were included in the study. Twenty-nine patients (58%) were detected to be positive for PD-L1 on both TCs and ICs, whereas 25 patients (50%) were positive for TC PD-L1 expression, and PD-L1 on ICs was detected (44%) in 23 patients. Patients with PD-L1 positivity on ICs were more likely to respond to chemotherapy as measured by “MD Anderson Cancer Center Residual Cancer Burden Index” (14/22, 63.6%, versus 10/27, 37%, p = 0.064). The 5-year disease-free survival (DFS) and disease-specific survival (DSS) rates were 46.3% and 51.4%, respectively. A high (\u003cu\u003e\u0026gt;\u003c/u\u003e20%) tumoral PD-L1 positivity was associated with a better DFS and DSS.\u003c/p\u003e\u003cp\u003e\u0026nbsp;\u003cstrong\u003eConclusions: \u003c/strong\u003eOur results suggest that patients with a high TC PD-L1 expression were more likely to have a better outcome. Since patients with residual TCs expressing PD-L1 on TILs were more likely to respond to NACT, an immune checkpoint inhibitor therapy in addition to NACT would be an important option for TNBC with locally advanced disease.\u003c/p\u003e\u003cp\u003e\u003cbr\u003e\u003c/p\u003e","manuscriptTitle":"Clinical Impact of PD-L1 Expression in Triple Negative Breast Cancer Patients With Residual Tumor Burden After Neoadjuvant Chemotherapy","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2021-04-01 20:32:43","doi":"10.21203/rs.3.rs-338452/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Major Revision","date":"2021-06-12T00:00:00+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2021-06-08T00:00:00+00:00","index":3,"fulltext":"Recommendation: Reviewer's comments unavailable due to the journal's policy.\n"},{"type":"reviewerAgreed","content":"","date":"2021-05-27T00:00:00+00:00","index":3,"fulltext":""},{"type":"editorInvitedReview","content":"","date":"2021-05-19T00:00:00+00:00","index":2,"fulltext":"Recommendation: Reviewer's comments unavailable due to the journal's policy.\n"},{"type":"editorInvitedReview","content":"","date":"2021-05-14T00:00:00+00:00","index":1,"fulltext":"Recommendation: Reviewer's comments unavailable due to the journal's policy.\n"},{"type":"reviewerAgreed","content":"","date":"2021-05-08T00:00:00+00:00","index":2,"fulltext":""},{"type":"editorInvitedReview","content":"","date":"2021-04-15T00:00:00+00:00","index":0,"fulltext":""},{"type":"reviewerAgreed","content":"","date":"2021-04-15T00:00:00+00:00","index":1,"fulltext":""},{"type":"reviewersInvited","content":"","date":"2021-04-06T00:00:00+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2021-04-02T00:00:00+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2021-04-01T23:00:00+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2021-03-31T14:00:33+00:00","index":"","fulltext":""},{"type":"submitted","content":"World Journal of Surgical Oncology","date":"2021-03-16T16:22:16+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"world-journal-of-surgical-oncology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"wjso","sideBox":"Learn more about [World Journal of Surgical Oncology](http://wjso.biomedcentral.com)","snPcode":"12957","submissionUrl":"https://submission.nature.com/new-submission/12957/3","title":"World Journal of Surgical Oncology","twitterHandle":"@OncoBioMed","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"f6870f19-65de-4f3d-841e-5aeed0e3708a","owner":[],"postedDate":"April 1st, 2021","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[{"id":3369322,"name":"Oncology"}],"tags":[],"updatedAt":"2021-08-12T14:44:00+00:00","versionOfRecord":[],"versionCreatedAt":"2021-04-01 20:32:43","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-338452","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-338452","identity":"rs-338452","version":["v1"]},"buildId":"zQwnuV7TCBrMSSSToR1PI","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}