ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2022
[Establishment of a mutation prediction model for evaluating the efficacy of immunotherapy in renal carcinoma].
Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectiveTo establish a mutation prediction model for efficacy assessment, the genomic sequencing data of renal cancer patients from the MSKCC (Memorial Sloan Kettering Cancer Center) pan-cancer immunotherapy cohort was used.
methodsThe genomic sequencing data of 121 clear cell renal cell carcinoma patients treated with immune checkpoint inhibitors (ICI) in the MSKCC pan-cancer immunotherapy cohort were obtained from cBioPortal database (<a href="http://www.cbioportal.org/" target="_blank">http://www.cbioportal.org/</a>) and they were analyzed by univariate and multivariate Cox regression analysis to identify mutated genes associated with ICI treatment efficacy, and we constructed a comprehensive prediction model for drug efficacy of ICI based on mutated genes using nomogram. Survival analysis and time-dependent receiver operator characteristic curves were performed to assess the prognostic value of the model. Transcriptome and genomic sequencing data of 538 renal cell carcinoma patients were obtained from the TCGA database (<a href="https://portal.gdc.cancer.gov/" target="_blank">https://portal.gdc.cancer.gov/</a>). Gene set enrichment analysis was used to identify the potential functions of the mutated genes enrolled in the nomogram.
resultsWe used multivariate Cox regression analysis and identified mutations in
conclusion
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35950389PMC9385530W4291020723What OpenQuestion holds
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