TY - JOUR
T1 - Association between PD-L1 status and immune checkpoint inhibitor response in advanced malignancies
T2 - A systematic review and meta-analysis of overall survival data
AU - Wallis, Christopher J.D.
AU - Lawson, Keith
AU - Butaney, Mohit
AU - Satkunasivam, Raj
AU - Parikh, Jigarkumar
AU - Freedland, Stephen J.
AU - Patel, Sandip P.
AU - Hamid, Omid
AU - Pal, Sumanta K.
AU - Klaassen, Zachary
N1 - © The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: [email protected].
PY - 2020/7/1
Y1 - 2020/7/1
N2 - Background: Targeting the programmed death ligand 1 (PD-L1) pathway has become standard for many advanced malignancies. Whether PD-L1 expression predicts response is unclear. We assessed the association between PD-L1 expression and immunotherapy response using stratified meta-analysis. Methods: We performed a systematic review of randomized clinical trials published prior to October 2018 comparing overall survival (OS) in patients with advanced solid organ malignancies treated with immunotherapy or standard treatment. Pooled hazard ratios were calculated among patients with high and low PD-L1 levels independently. Differences between the two estimates were assessed using meta-analysis of study-level differences. Our primary analysis assessed a 1% threshold while secondary analyses utilized 5, 10 and 50%. Results: 14 eligible trials reporting on 8887 patients were included. While there was a significant OS benefit for immunotherapy compared with standard treatment for all patients, the magnitude of benefit was significantly larger among those with high PD-L1 expression (P = 0.006). This finding persisted regardless of threshold used and across subgroup analyses according to PD-L1 assay type, tumor histology, line of therapy, type of inhibitor and study methodology. Conclusions: PD-L1 levels have important predictive value in determining the response to immunotherapy. However, patients with low PD-L1 levels also experience improved survival with immunotherapy compared with standard treatment.
AB - Background: Targeting the programmed death ligand 1 (PD-L1) pathway has become standard for many advanced malignancies. Whether PD-L1 expression predicts response is unclear. We assessed the association between PD-L1 expression and immunotherapy response using stratified meta-analysis. Methods: We performed a systematic review of randomized clinical trials published prior to October 2018 comparing overall survival (OS) in patients with advanced solid organ malignancies treated with immunotherapy or standard treatment. Pooled hazard ratios were calculated among patients with high and low PD-L1 levels independently. Differences between the two estimates were assessed using meta-analysis of study-level differences. Our primary analysis assessed a 1% threshold while secondary analyses utilized 5, 10 and 50%. Results: 14 eligible trials reporting on 8887 patients were included. While there was a significant OS benefit for immunotherapy compared with standard treatment for all patients, the magnitude of benefit was significantly larger among those with high PD-L1 expression (P = 0.006). This finding persisted regardless of threshold used and across subgroup analyses according to PD-L1 assay type, tumor histology, line of therapy, type of inhibitor and study methodology. Conclusions: PD-L1 levels have important predictive value in determining the response to immunotherapy. However, patients with low PD-L1 levels also experience improved survival with immunotherapy compared with standard treatment.
KW - Immunotherapy
KW - Medical oncology
KW - PD-L1
KW - PD1
KW - Randomized controlled trials
KW - B7-H1 Antigen/metabolism
KW - Carcinoma, Non-Small-Cell Lung/genetics
KW - Humans
KW - Survival Analysis
KW - Neoplasms/genetics
KW - Randomized Controlled Trials as Topic
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U2 - 10.1093/jjco/hyaa021
DO - 10.1093/jjco/hyaa021
M3 - Article
C2 - 32083295
AN - SCOPUS:85083059763
SN - 1465-3621
VL - 50
SP - 800
EP - 809
JO - Japanese journal of clinical oncology
JF - Japanese journal of clinical oncology
IS - 7
ER -