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Therapeutic guidance of tumor mutation burden on immune checkpoint inhibitors in advanced non-small cell lung cancer: a systematic review and comprehensive meta-analysis.
Zhao, Jie; Dong, Yiting; Bai, Hua; Duan, Jianchun; Wang, Guoqiang; Xu, Jiachen; Wang, Jie; Wang, Zhijie.
Afiliação
  • Zhao J; State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Dong Y; State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Bai H; State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Duan J; State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Wang G; The Medical Department, Burning Rock Biotech, Guangzhou, China.
  • Xu J; State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Wang J; State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Wang Z; State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
J Natl Cancer Cent ; 2(1): 41-49, 2022 Mar.
Article em En | MEDLINE | ID: mdl-39035215
ABSTRACT

Background:

Tumor mutation burden (TMB) remains a promising but ambiguous predictive biomarker for the efficacy of immune checkpoint inhibitors (ICIs). We investigated the predictive value of TMB in patients with advanced non-small cell lung cancer (NSCLC) treated by ICI-containing therapies under strictly matched clinical settings.

Methods:

PubMed, Embase, Cochrane Central, ClinicalTrials.gov, and bioRxiv databases were searched till October 16, 2021. All randomized controlled trials (RCTs) that compared patients with high TMB (TMB-H) and low TMB (TMB-L) and provided hazard ratio (HR) and corresponding 95% confidence interval (CI) in advanced NSCLC patients receiving ICIs were included, and mirror-based meta-analysis was performed (Part1). Bayesian network meta-analysis was conducted to investigate the efficacy of distinct first-line regimens in TMB-H and TMB-L groups (Part2). Public cohorts were used for validation and further exploration (Part3).

Results:

Twelve RCTs (n=5527) and 5 public cohorts (n=573) were included. In Part1, TMB-H patients generally exhibited a more significant progression-free survival (PFS) benefit from ICI-containing therapies compared to TMB-L patients (HR=0.58, 95% CI 0.49-0.67, P < 0.0001). In Part2, anti-PD-1 plus chemotherapy ranked best for PFS in both TMB-H and TMB-L groups. Anti-PD-L1 plus anti-CTLA-4 therapies indicated better PFS and overall survival (OS) benefit than single ICI and chemotherapy in the TMB-H group, but ranked worst in the TMB-L group. Finally, TMB was validated to be an independent predictive biomarker from programmed cell death-ligand 1 (PD-L1) expression in Part3, which could further distinguish beneficiaries of ICI-containing therapies with PD-L1 < 50%.

Conclusion:

TMB-H could be a predictive biomarker independent of PD-L1 expression to identify beneficiaries of ICI-containing therapy in advanced NSCLC patients.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Natl Cancer Cent Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Natl Cancer Cent Ano de publicação: 2022 Tipo de documento: Article