Combining the tumor-stroma ratio with tumor-infiltrating lymphocytes improves the prediction of pathological complete response in breast cancer patients
机构:[1]Sichuan Univ, West China Hosp, Dept Pathol, Chengdu, Peoples R China四川大学华西医院[2]Sichuan Univ, West China Hosp, Inst Clin Pathol, Chengdu, Peoples R China四川大学华西医院[3]Sichuan Univ, West China Hosp, Key Lab Transplant Engn & Immunol, Natl Hlth Commiss, Chengdu, Peoples R China四川大学华西医院[4]Shanxi Med Univ, Shanxi Prov Canc Hosp,Canc Hosp Affiliated, Shanxi Hosp Affiliated Canc Hosp, Chinese Acad Med Sci,Dept Pathol, Taiyuan, Peoples R China[5]Sichuan Prov Peoples Hosp, Dept Pathol, Chengdu, Peoples R China四川省人民医院[6]Southwest Med Univ, Affiliated Hosp, Dept Pathol, Luzhou, Peoples R China
PurposeThe tumor-stroma ratio (TSR) is a common histological parameter that measures stromal abundance and is prognostic in breast cancer (BC). However, more evidence is needed on the predictive value of the TSR for the pathological complete response (pCR) to neoadjuvant chemotherapy (NAC). The purpose of this study was to determine the importance of the TSR in predicting pCR in NAC settings.MethodWe evaluated the TSR on pretreatment biopsies of 912 BC patients from four independent Chinese hospitals and investigated the potential value of the TSR for predicting pCR. Meanwhile, stromal tumor-infiltrating lymphocytes (sTILs) were assessed, and we evaluated the predictive value of the combination of sTILs and TSR (TSRILs).ResultsPatients with low stroma showed a higher pCR rate than those with high stroma among the four independent hospitals, and in multivariate analysis, the TSR was proven to be an independent predictor for pCR to NAC with an odds ratio of 1.945 (95% CI 1.230-3.075, P = 0.004). Moreover, we found that TSRILs could improve the area under the curve (AUC) for predicting pCR from 0.750 to 0.785 (P = 0.039); especially in HER2-negative BCs, the inclusion of TSRILs increased the AUC from 0.801 to 0.835 in the discovery dataset (P = 0.048) and 0.734 to 0.801 in the validation dataset (P = 0.003).ConclusionTSR and sTILs can be easily measured in pathological routines and provide predictive information without additional cost; with more evidence from clinical trials, TSRILs could be a candidate to better stratify patients in NAC settings.
基金:
1·3·5 project for disciplines
of excellence (ZYGD18012) and the Technological Innovation
Project of Chengdu New Industrial Technology Research Institute
(2017-CY02–00026-GX).
第一作者机构:[1]Sichuan Univ, West China Hosp, Dept Pathol, Chengdu, Peoples R China[2]Sichuan Univ, West China Hosp, Inst Clin Pathol, Chengdu, Peoples R China
通讯作者:
通讯机构:[1]Sichuan Univ, West China Hosp, Dept Pathol, Chengdu, Peoples R China[2]Sichuan Univ, West China Hosp, Inst Clin Pathol, Chengdu, Peoples R China
推荐引用方式(GB/T 7714):
Li Fengling,Chen Hong,Lu Xunxi,et al.Combining the tumor-stroma ratio with tumor-infiltrating lymphocytes improves the prediction of pathological complete response in breast cancer patients[J].BREAST CANCER RESEARCH AND TREATMENT.2023,202(1):173-183.doi:10.1007/s10549-023-07026-7.
APA:
Li, Fengling,Chen, Hong,Lu, Xunxi,Wei, Yani,Zhao, Yuanyuan...&Bu, Hong.(2023).Combining the tumor-stroma ratio with tumor-infiltrating lymphocytes improves the prediction of pathological complete response in breast cancer patients.BREAST CANCER RESEARCH AND TREATMENT,202,(1)
MLA:
Li, Fengling,et al."Combining the tumor-stroma ratio with tumor-infiltrating lymphocytes improves the prediction of pathological complete response in breast cancer patients".BREAST CANCER RESEARCH AND TREATMENT 202..1(2023):173-183