Association of PD-L1 Expression and Other Variables With Benefit From Immune Checkpoint Inhibition in Advanced Gastroesophageal Cancer: Systematic Review and Meta-analysis of 17 Phase 3 Randomized Clinical Trials.


Journal

JAMA oncology
ISSN: 2374-2445
Titre abrégé: JAMA Oncol
Pays: United States
ID NLM: 101652861

Informations de publication

Date de publication:
01 10 2022
Historique:
pubmed: 26 8 2022
medline: 25 10 2022
entrez: 25 8 2022
Statut: ppublish

Résumé

Approval by the US Food and Drug Administration of immune checkpoint inhibition (ICI) for advanced gastroesophageal cancer (aGEC) irrespective of PD-L1 status has generated controversy. Exploratory analyses from individual trials indicate a lack of meaningful benefit from ICI in patients with absent or low PD-L1 expression; however, analysis of a single variable while ignoring others may not consider the instability inherent in exploratory analyses. To systematically examine the predictive value of tissue-based PD-L1 status compared with that of other variables for ICI benefit in aGEC to assess its stability. MEDLINE, Embase, Scopus, Web of Science, Cochrane Central Register (2000-2022). Randomized clinical trials (RCTs) were included of adults with aGEC (adenocarcinoma [AC] or squamous cell carcinoma [SCC]) randomized to anti-PD-1 or PD-L1-containing treatment vs standard of care (SOC). Study screening, data abstraction, and bias assessment were completed independently by 2 reviewers. Of 5752 records screened, 26 were assessed for eligibility; 17 trials were included in the analysis. The prespecified primary end point was overall survival. The mean hazard ratio (HR) for ICI vs SOC was calculated (random-effects model). Predictive values were quantified by calculating the ratio of mean HRs between 2 levels of each variable. In all, 17 RCTs (9 first line, 8 after first line) at low risk of bias and 14 predictive variables were included, totaling 11 166 participants (5067 with SCC, 6099 with ACC; 77.6% were male and 22.4% were female; 59.5% of patients were younger than 65 years, 40.5% were 65 years or older). Among patients with SCCs, PD-L1 tumor proportion score (TPS) was the strongest predictor of ICI benefit (HR, 0.60 [95% CI, 0.53-0.68] for high TPS; and HR, 0.84 [95% CI, 0.75-0.95] for low TPS), yielding a predictive value of 41.0% favoring high TPS (vs ≤16.0% for other variables). Among patients with AC, PD-L1 combined positive score (CPS) was the strongest predictor (after microsatellite instability high status) of ICI benefit (HR, 0.73 [95% CI, 0.66-0.81] for high CPS; and HR, 0.95 [95% CI, 0.84-1.07] for low CPS), yielding a predictive value of 29.4% favoring CPS-high (vs ≤12.9% for other variables). Head-to-head analyses of trials containing both levels of a variable and/or having similar design generally yielded consistent results. Tissue-based PD-L1 expression, more than any variable other than microsatellite instability-high, identified varying degrees of benefit from ICI-containing therapy vs SOC among patients with aGEC in 17 RCTs.

Identifiants

pubmed: 36006624
pii: 2795607
doi: 10.1001/jamaoncol.2022.3707
pmc: PMC9412834
doi:

Substances chimiques

B7-H1 Antigen 0
Immune Checkpoint Inhibitors 0
CD274 protein, human 0

Types de publication

Meta-Analysis Systematic Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1456-1465

Subventions

Organisme : NCI NIH HHS
ID : P30 CA015083
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA016672
Pays : United States

Commentaires et corrections

Type : CommentIn

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Auteurs

Harry H Yoon (HH)

Mayo Clinic, Rochester, Minnesota.

Zhaohui Jin (Z)

Mayo Clinic, Rochester, Minnesota.

Oudom Kour (O)

Mayo Clinic, Rochester, Minnesota.

Lionel Aurelien Kankeu Fonkoua (LA)

Mayo Clinic, Rochester, Minnesota.

Kohei Shitara (K)

National Cancer Center East, Chiba, Japan.

Michael K Gibson (MK)

Vanderbilt University, Nashville, Tennessee.

Larry J Prokop (LJ)

Mayo Clinic, Rochester, Minnesota.

Markus Moehler (M)

Johannes-Guttenberg University, Mainz, Germany.

Yoon-Koo Kang (YK)

Asan Medical Center, University of Ulsan, Seoul, Korea.

Qian Shi (Q)

Mayo Clinic, Rochester, Minnesota.

Jaffer A Ajani (JA)

The University of Texas MD Anderson Cancer Center, Houston.

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Classifications MeSH