Evidence map›Paper›PMID 35117909›Full record

ArticleTranslational cancer research2020

Tumor mutation burden predicts response and survival to immune checkpoint inhibitors: a meta-analysis.

Linghong Wan, Zhi Wang, Jinmin Xue, Huaju Yang, Yuxi Zhu

Abstract read
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Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

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15citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Review
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  5. Circular RNAs: key players in tumor immune evasion.Molecular and cellular biochemistry · 2025
    Review
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Linghong WanDepartment of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhi WangDepartment of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jinmin XueDepartment of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Huaju YangDepartment of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yuxi ZhuDepartment of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer is one of the world's top three causes of death now. Immune checkpoint inhibitors (ICIs) show encouraging ability to treat some malignancies due to its long-term efficacy and low side effects. However, the predictive biomarker of the immunotherapy efficacy has been inconclusive. Thus, exploring new biomarkers is important.

methodsA meta-analysis was conducted to evaluate whether tumor mutation burden (TMB) could be a predictive biomarker of the efficacy of ICIs. Using the PubMed and Cochrane Library databases, we searched for articles about TMB and the prognosis of patients with multiple malignancies conducted from 1984 to May 22, 2020. We identified the relationship between TMB and the clinical efficacy of ICIs by using Stata 12.1 software.

resultsEighteen articles with a total of 4,535 patients were included in this meta-analysis. Results showed that high-TMB patients had better progression-free survival (PFS) than low-TMB patients with cancer treated with ICIs (HR =0.45; 95% CI: 0.36-0.56, P=0.002). Moreover, high-TMB patients had longer overall survival (OS) than low-TMB patients. However, the heterogeneity was extremely high, so the result regarding OS was meaningless (HR =0.56; 95% CI: 0.44-0.70, P=0.000, I-squares: 72.6%).

conclusionsOur study indicates that high TMB is associated with better PFS. Thus, TMB can be considered as a predictive marker of PFS of patients treated with ICIs in the future.

Indexed as

immune checkpoint inhibitors (ICIs)meta-analysispredictive biomarkerTumor mutation burden (TMB)

Identifiers

PMID35117909
PMCPMC8797938

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.