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- Title
A Potential Predictive Biomarker for Miller/Payne Grading: PD-L1 Expression before Neoadjuvant Chemotherapy in Breast Cancer.
- Authors
Li, Cheng; Ma, Rui-Zhong; Han, Gui-Yan; Guo, Ying-Hua; Zhang, Ya-Nan; Zhang, Ya-Ting; Wang, Hui; Zhang, Yu-Ping; Chen, Fang-Ming; Zhang, Shi-Geng; Wang, Ming-Chen; Hao, Fu-Rong; Zhang, Yun-Xiang
- Abstract
Background and Objective: The aim of this study was to investigate the value of programmed death ligand 1 (PD-L1) expression as a predictive biomarker for Miller/Payne grading before neoadjuvant chemotherapy (NACT) in breast cancer. Patients and Methods: The expression of PD-L1 in pretreatment biopsies of breast cancer was assessed by immunohistochemistry in tissue microarrays. The results were analyzed using SPSS 22.0 statistical software. Results: Of 53 female patients, 10 (18.9%) patients had a grade 5 (G5) response, and 12 (22.6%) patients showed PD-L1 expression, including 7 (13.2%) patients with staining in tumor cells (TCs) and 8 (15.1%) patients with staining in peritumoral lymphocytes (PTLCs). Logistic regression analysis revealed that G5 response to NACT was significantly associated with TCs or PTLCs PD-L1 positivity, whether with univariate analysis (TCs PD-L1: p = 0.00, OR 20.50, 95% CI 3.11–134.94; PTLCs PD-L1: p = 0.02, OR 6.50, 95% CI 1.27–33.20) or with multivariate analysis (TCs PD-L1: p = 0.00, OR 42.23, 95% CI 3.36–530.90; PTLCs PD-L1: p = 0.02, OR 9.07, 95% CI 1.37–60.02). The same trend was found in the luminal subgroup analysis (TCs PD-L1: p = 0.02, OR 23.43, 95% CI 1.66–331.58; PTLCs PD-L1: p = 0.01, OR 47.89, 95% CI 2.47–927.41). Conclusion: G5 response to NACT in breast cancer was significantly associated with TCs or PTLCs PD-L1-positive expression in pretreatment biopsies; it can be expected that PD-L1 will become a new independent biomarker of response to NACT in breast cancer.
- Subjects
NEOADJUVANT chemotherapy; PROGRAMMED death-ligand 1; BIOMARKERS; CANCER chemotherapy; LOGISTIC regression analysis
- Publication
Oncology Research & Treatment, 2020, Vol 43, Issue 11, p573
- ISSN
2296-5270
- Publication type
Article
- DOI
10.1159/000508139