Abstract
BackgroundAnti-programmed cell death protein 1 and programmed cell death ligand 1 (PD-L1) agents are broadly used in first-line and second-line treatment across different tumor types. While immunohistochemistry-based assays are routinely used to assess PD-L1 expression, their clinical utility remains controversial due to the partial predictive value and lack of standardized cut-offs across antibody clones. Using a high throughput immunoassay, the reverse phase protein microarray (RPPA), coupled with a fluorescence-based detection system, this study compared the performance of six anti-PD-L1 antibody clones on 666 tumor samples.MethodsPD-L1 expression was measured using five antibody clones (22C3, 28–8, CAL10, E1L3N and SP142) and the therapeutic antibody atezolizumab on 222 lung, 71 ovarian, 52 prostate and 267 breast cancers, and 54 metastatic lesions. To capture clinically relevant variables, our cohort included frozen and formalin-fixed paraffin-embedded samples, surgical specimens and core needle biopsies. Pure tumor epithelia were isolated using laser capture microdissection from 602 samples. Correlation coefficients were calculated to assess concordance between antibody clones. For two independent cohorts of patients with lung cancer treated with nivolumab, RPPA-based PD-L1 measurements were examined along with response to treatment.ResultsMedian-center PD-L1 dynamic ranged from 0.01 to 39.37 across antibody clones. Correlation coefficients between the six antibody clones were heterogeneous (range: −0.48 to 0.95) and below 0.50 in 61% of the comparisons. In nivolumab-treated patients, RPPA-based measurement identified a subgroup of tumors, where low PD-L1 expression equated to lack of response.ConclusionsContinuous RPPA-based measurements capture a broad dynamic range of PD-L1 expression in human specimens and heterogeneous concordance levels between antibody clones. This high throughput immunoassay can potentially identify subgroups of tumors in which low expression of PD-L1 equates to lack of response to treatment.
Funder
Agendia
Berry Consultants
CCS Associates
AbbVie
Breast Cancer Research – Atwater Trust
OpenClinica
Dynavax Technologies
Stand Up To Cancer
Salesforce
Formedix
Puma Biotechnology
Regeneron
Biomarkers Consortium
IQVIA
Istituto Superiore di Sanità
Side Out Fondation
Give Breast Cancer the Boot
California Breast Cancer Research Program
Merck
Quantum Leap Healthcare Collaborative
Foundation for the National Institutes of Health
TGen
Amgen
College of Science, George Mason University
Pfizer
Plexxikon
Hologic Inc.
Madrigal Pharmaceuticals
Illumina
Natera
Albertsons Company
Daiichi Sankyo
Safeway
NCI
Seattle Genetics
Gateway for Cancer Research
AstraZeneca
William K. Bowes, Jr. Foundation
UCSF Foundation
Breast Cancer Research Foundation
Genentech
Subject
Cancer Research,Pharmacology,Oncology,Molecular Medicine,Immunology,Immunology and Allergy
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献