The Value of PD-L1 Expression as Predictive Biomarker in Metastatic Renal Cell Carcinoma Patients: A Meta-Analysis of Randomized Clinical Trials.
PD-L1
biomarker
predictive
renal cell carcinoma
treatment
Journal
Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829
Informations de publication
Date de publication:
17 Jul 2020
17 Jul 2020
Historique:
received:
11
06
2020
revised:
08
07
2020
accepted:
13
07
2020
entrez:
26
7
2020
pubmed:
28
7
2020
medline:
28
7
2020
Statut:
epublish
Résumé
Immune checkpoint inhibitors (ICIs) are soluble antibodies that have dramatically changed the outcomes including overall survival in a subset of kidney tumors, specifically in renal cell carcinoma (RCC). To date, there is no a single predictive biomarker approved to be used to select the patients that achieve benefit from ICIs targeting. It seems reasonable to analyze whether the programmed death-ligand 1 (PD-L1) expression could be useful. To assess the role of PD-L1 expression as a potential predictive biomarker for benefit of ICIs in RCC patients, we performed a search of randomized clinical trials (RCTs) comparing ICIs (monotherapy or in combination with other therapies) to standard of care in metastatic RCC patients according to PRISMA guidelines. Trials must have included subgroup analyses evaluating the selected outcomes (progression-free survival (PFS) and overall survival (OS)) in different subsets of patients according to PD-L1 expression on tumor samples. Hazard ratios with confidence intervals were used as the measure of efficacy between groups. A total of 4635 patients (six studies) were included (ICIs arm: 2367 patients; standard of care arm: 2268 patients). Globally, PFS and OS results favored ICIs. Differential expression of PD-L1 on tumor samples could select a subset of patients who could benefit more in terms of PFS (those with higher levels;
Identifiants
pubmed: 32709062
pii: cancers12071945
doi: 10.3390/cancers12071945
pmc: PMC7409133
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Subventions
Organisme : Instituto de Salud Carlos III
ID : --
Organisme : Ministerio de Economía y Competitividad
ID : FSI17/1728
Organisme : ROCHE
ID : --
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