Open Access
A Potential Predictive Biomarker for Miller/Payne Grading: PD-L1 Expression before Neoadjuvant Chemotherapy in Breast Cancer
Author(s) -
Cheng Li,
Richard Ma,
Guiyan Han,
Yinghua Guo,
Yanan Zhang,
Yating Zhang,
Hui Wang,
Yuping Zhang,
FangMing Chen,
Shigeng Zhang,
Mingchen Wang,
Furong Hao,
Yunxiang Zhang
Publication year - 2020
Publication title -
oncology research and treatment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.553
H-Index - 48
eISSN - 2296-5262
pISSN - 2296-5270
DOI - 10.1159/000508139
Subject(s) - medicine , breast cancer , immunohistochemistry , oncology , grading (engineering) , univariate analysis , tissue microarray , predictive marker , chemotherapy , biomarker , cancer , multivariate analysis , biology , ecology , biochemistry
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.