ArticleThe Journal of international medical research2025
A predictive model for evaluating the efficacy of immunotherapy in non-small-cell lung cancer patients: A real-world study.
Article in The Journal of international medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- A predictive model for evaluating the efficacy of immunotherapy in non-small-cell lung cancer patients: A real-world study.The Journal of international medical research · 2025Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
ObjectiveThe predictive accuracy of the efficacy of immunotherapy remains poor. Therefore, we aimed to develop a predictive model based on gene mutations to assess the immunotherapeutic efficacy in non-small-cell lung cancer.MethodsThree hundred and thirty-five non-small-cell lung cancer patients treated with immune checkpoint inhibitors were included in our study. The least absolute shrinkage and selection operator Cox regression model, multivariable analysis, and Kaplan-Meier test were used in this study.ResultsWe constructed a predictive model based on a 42-gene signature. Patients were classified into low-risk and high-risk groups based on risk scores generated from this model. Compared with patients in the high-risk group, those in the low-risk group showed better survival (median survival time: 36.0 vs. 6.0 months,
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