ReviewCancers2026
Association Between Mutations in DNA Damage Response Genes and Efficacy of Immune Checkpoint Inhibitor Therapy in Non-Small Cell Lung Cancer: A Systematic Review and Meta-Analysis.
Review in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundImmunotherapy has improved outcomes in non-small cell lung cancer (NSCLC), but reliable predictive biomarkers remain limited. DNA damage response (DDR) gene mutations may enhance tumor immunogenicity and response to immune checkpoint inhibitors (ICIs), yet clinical findings remain inconsistent. We aimed to systematically evaluate the association between DDR gene mutations and ICI outcomes in NSCLC.
methodsPubMed and Embase were searched for eligible studies. Data on objective response rate (ORR), progression-free survival (PFS), and overall survival (OS) were extracted and pooled using random-effects models. Subgroup analyses were performed by treatment regimen.
resultsA total of 13 studies involving 5989 patients were included from 606 records. The pooled RR for ORR comparing DDR wild-type with DDR-mutated patients was 0.63 (95% CI: 0.49-0.82,
conclusionsDDR gene mutations were associated with improved clinical outcomes in NSCLC patients treated with ICIs, particularly in the ICI monotherapy setting.
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