4.4 Article

PD-L1 in breast cancer: comparative analysis of 3 different antibodies

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HUMAN PATHOLOGY
卷 72, 期 -, 页码 28-34

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W B SAUNDERS CO-ELSEVIER INC
DOI: 10.1016/j.humpath.2017.08.010

关键词

Breast cancer; Invasive ductal carcinoma; Programmed cell death ligand-1; lmmunohistochemistry; Comparative analysis; Three antibodies

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The interaction of programmed cell death-1 and its ligand-1 (PD-L1) serves as a regulatory check against excessive immune response to antigen and autoimmunity. We compared the performance of 3 different PD-L1 antibodies (Ventana SP263, Dako 22C3, and BioCare RbMCAL10 antibodies) in 136 invasive ductal carcinoma specimens including 43 primary, 48 locally metastatic, and 46 distantly metastatic diseases. PD-L1 expression was correlated with clinicopathologic parameters including tumor size, grade, lymphovascular invasion, estrogen receptor, progesterone receptor, HER2, Ki67, molecular type, and triple-negative status. There was excellent agreement between the 3 antibodies, with highly significant kappa values (P <= .001). PD-L1 expression was more likely to be associated with higher tumor grade and estrogen receptor negative, progesterone receptor negative, triple-negative, and highly proliferative tumors (P <= .001). When we studied PD-L1 expression at 0, 1%-9%, 10%-49%, and >= 50% cutoff points by the 3 antibodies, there were 20 discordant cases between the antibodies. Sixteen were of inconsequential impact as far as low and high PD-L1 expression. The 4 differences between antibodies did exhibit an interesting pattern of expression, where there was a general agreement between the BioCare and Ventana antibodies with consistently higher PD-L1 expression compared with the Dako antibody. Given the high concordance, it is not surprising that all 3 antibodies demonstrated the same associations with all pathologic and clinical parameters studied. Standardization studies to identify reliable biomarkers that help in patient selection for immune therapy to improve the risk-benefit ratio for these drugs are still needed. (C) 2017 Elsevier Inc. All rights reserved.

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