Dataset Information

PD-L1/PD-1 Biomarker for Metastatic Urothelial Cancer that Progress Post-platinum Therapy: A Systematic Review and Meta-analysis.

ABSTRACT:

Background

Immune checkpoint inhibitors (ICI) are extremely expensive and most patients with metastatic urothelial carcinoma (mUC) do not benefit significantly from their use.

Objective

We performed a systematic review and meta-analysis to determine response rates and survival outcomes on patients with mUC progressing despite prior platinum-based chemotherapy receiving ICI stratified by biomarker status.

Methods

We performed a comprehensive literature search for all articles in PubMed and Embase up to 06/15/2019 to identify all studies pertaining to programmed death-ligand 1 (PD-L1) and programmed death 1 (PD-1) receptor targeted therapies for mUC that reported biomarkers. Given that biomarkers are reported on different scales and with different metrics, we defined each biomarker as either positive or negative using the definitions implemented in each individual trial. We meta-analyzed the data, reconstructed overall (OS) and progression-free survival (PFS) curves, and analyzed response rates by biomarker status. OS and PFS were analyzed in a pooled Kaplan-Meier analysis and pseudo-individualized patient data (IPD) extracted.

Results

We identified 1429 manuscripts of which 8 met inclusion criteria, with a total of 1837 treated patients with outcomes data. On proportional hazards survival analysis, patients in the biomarker negative group were associated with a lower PFS (HR 1.48, 95% CI: 1.18 - 1.85, p?p?ConclusionsICI therapy for metastatic UC post platinum therapy has a higher overall response rate, OS and PFS in patients who are biomarker positive compared to those who are negative. However, some patients who are biomarker negative do achieve complete responses. A better biomarker for patient selection is essential before biomarkers can be used to stratify candidates for ICI therapy.

SUBMITTER: Tan WP

PROVIDER: S-EPMC6919639 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

PD-L1/PD-1 Biomarker for Metastatic Urothelial Cancer that Progress Post-platinum Therapy: A Systematic Review and Meta-analysis.

Tan Wei Phin WP Tan Wei Shen WS Inman Brant A BA

Bladder cancer (Amsterdam, Netherlands) 20191122 3

<h4>Background</h4>Immune checkpoint inhibitors (ICI) are extremely expensive and most patients with metastatic urothelial carcinoma (mUC) do not benefit significantly from their use.<h4>Objective</h4>We performed a systematic review and meta-analysis to determine response rates and survival outcomes on patients with mUC progressing despite prior platinum-based chemotherapy receiving ICI stratified by biomarker status.<h4>Methods</h4>We performed a comprehensive literature search for all article ...[more]

PMID: 31867425

Similar Datasets

Project description:BackgroundInhibitors of programmed cell death 1 (PD-1)/programmed cell death ligand 1(PD-L1) checkpoint have been approved for metastatic triple negative breast cancer (mTNBC) in patients positive for PD-L1 expression. Negative results from the recent phase III trials (IMPassion131 and IMPassion132) have raises questions on the efficacy of PD-1/PD-L1 checkpoint inhibitors and the predictive value of PD-L1 expression. Here we attempt to systematically analyze the biomarker value of PD-L1 expression for predicting the response of PD-1/PD-L1 checkpoint inhibitors in mTNBC.Materials and methodsPubMed database was searched until Dec 2021 for studies evaluating PD-1/PD-L1 checkpoint inhibitors plus/minus chemotherapy in mTNBC. Outcome of interest included objective response rate (ORR), progression-free survival (PFS), and overall survival (OS). Review Manager (RevMan) version 5.4. was used for data-analysis.ResultsIn total, 20 clinical trials comprising 3962 mTNBC patients (ICT: 2665 (67%); CT: 1297 (33%) were included in this study. Overall ORR was 22% (95%CI, 14-30%) and significant improvement was observed for PD-L1+ patients (ORR 1.78 [95%CI, 1.45-2.19], p<0.00001) as compared to PD-L1- cohort. Pooled outcome also indicated a significant 1-year PFS and 2-year OS advantage for patients with PD-L1 expression (1-year PFS: ORR 1.39 [95%CI, 1.04-1.85], p=0.02; I2 = 0%; 2-year OS: (ORR 2.47 [95%CI, 1.30-4.69], p=0.006; I2 = 63%). Subgroup analysis indicated that PD-L1 expression can successfully predict tumor response and 2-year OS benefit in mTNBC patients regardless of the type of investigating agent, line of treatment administration, and to some extent the type of treatment. Biomarker ability of PD-L1 expression to predict 1-year PFS was slightly better with pembrolizumab (p=0.09) than atezolizumab (p=0.18), and significantly better when treatment was administered in the first-line setting (OR 1.38 [95%CI, 1.02-1.87], p=0.04) and chemotherapy was added (OR 1.38 [95%CI, 1.02-1.86], p=0.03). Immune-related toxicity of any grade and grade≥3 was 39% (95%CI, 26%-52%) and 10% (95%CI, 8%-13%), respectively.ConclusionsPD-L1 expression can predict objective response rate and 2-year OS in mTNBC patients receiving PD-1/PD-L1 checkpoint inhibitors. One-year PFS is also predicted in selected patients. PD-L1 expression can be a useful biomarker of efficacy of PD-1/PD-L1 checkpoint inhibitors in mTNBC.

Project description:BackgroundSalvage nivolumab and ipilimumab after prior anti-PD-1/PD-L1 therapy is frequently used off-label for clear cell metastatic renal cell carcinoma (mRCC). However, limited data are available to guide such therapy. We performed a meta-analysis to characterize further the safety and efficacy of salvage nivolumab and ipilimumab.MethodsWe conducted a systematic review in accordance with PRISMA. Studies of salvage nivolumab and ipilimumab in patients with mRCC published in English before June 1, 2021 were included. We also included patients treated at the Ohio State University from 2012 to 2020 through a retrospective chart review. The included studies were further stratified into adaptive and standard groups based on their designs. We calculated objective response rate (ORR) and adverse events (AEs) via pooled data and quantitative synthesis using the Stata metaprop procedure. A conservative random effect model was used to combine values.ResultsA total of 7 studies and 310 patients were included. Salvage nivolumab and ipilimumab had an ORR of 14% (95% CI, 0.09-0.21) and median progression-free survival ranged between 3.7 and 5.5 months. Four out of the seven studies were standard design, whereas the other three studies were adaptive. The ORR was numerically higher in the standard group compared with the adaptive group (21% and 9-10%, respectively). The responses to salvage nivolumab and ipilimumab did not correlate with the initial anti-PD-1/PD-L1 responses (odds ratio = 1.45; p = 0.5). Grade ≥3 AEs occurred in 26% of the patients (95% CI, 0.19-0.33). There were no new safety signals observed in this study.ConclusionSalvage nivolumab and ipilimumab demonstrated moderate antitumor activity and a manageable safety profile in patients with mRCC who had prior anti-PD-1/PD-L1 therapy.Implication for practicePatients with metastatic renal cell carcinoma have limited treatment options after progressive disease on anti-PD-1/PD-L1 therapy. The role of salvage nivolumab and ipilimumab in this patient population is poorly defined. The studies on this highly important and clinically relevant topic are limited by small sample sizes. The results from our meta-analysis suggest that nivolumab and ipilimumab are feasible in the salvage setting with moderate efficacy and acceptable toxicity profile. The response rates differ with different treatment designs. This information will be beneficial to guide clinical decision-making and accurately estimating toxicity.

Dataset Information

PD-L1/PD-1 Biomarker for Metastatic Urothelial Cancer that Progress Post-platinum Therapy: A Systematic Review and Meta-analysis.

Background

Objective

Methods

Results

Publications

PD-L1/PD-1 Biomarker for Metastatic Urothelial Cancer that Progress Post-platinum Therapy: A Systematic Review and Meta-analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets