A Quantitative Comparison of Antibodies to Programmed Cell Death 1 Ligand 1.
A Quantitative Comparison of Antibodies to Programmed Cell Death 1 Ligand 1.
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DOI:
10.1001/jamaoncol.2016.3015
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发表时间:
2017-02-01
期刊:
影响因子:
28.4
通讯作者:
Rimm DL
中科院分区:
文献类型:
--
作者:
Gaule P;Smithy JW;Toki M;Rehman J;Patell-Socha F;Cougot D;Collin P;Morrill P;Neumeister V;Rimm DL
There are at least four immunohistochemistry assays for PD-L1 at various stages of interaction with the FDA as companion or complementary diagnostic tests for benefit from PD-1 axis therapies. The performance of each assay for selection of patients that respond to therapy has been published, but no data has been published that compares the assays to one another or to direct measurements of PD-L1. To determine whether the antibody reagents are interchangeable, we quantitatively compared expression of PD-L1 protein using six monoclonal antibodies (SP142, E1L3N, 9A11, SP263, 22c3 and 28-8). To test for protein measurement, rather than clinical utility, we created a PD-L1 index tissue microarray including cell line and tissue controls, in addition to 30 NSCLC cases with full dynamic range of PD-L1 expression. We then validated our results on a commercially available, genetically defined PD-L1 engineered cell line array with a range of controlled protein expressing cell lines. Protein levels were measured by both quantitative immunofluorescence and quantitative chromogenic assessment. Concordance between 4 antibodies showed regression (R2 values) between 0.42-0.91 for tumor tissue cores and 0.83-0.97 for cells line cores by QIF in the PD-L1 index tissue microarray. All six antibodies showed high levels of concordance (R2 ranging from 0.76 to 0.99) when using chromogenic staining in isogenic cell lines. Since the antibodies are highly concordant, these results suggest that assays based on the use of these antibodies could yield concordant results. They further suggest that previously described differences in PD-L1 expression in tissue is independent of the antibody utilized and likely due to tumor heterogeneity, assay/platform-specific variables or other factors.