Relative expression orderings based prediction of treatment response to Anti-PD-1 immunotherapy in advanced melanoma.

ABSTRACT: Programmed cell death protein 1 (PD-1) plays a critical role in immune tolerance and evasion within the tumor microenvironment, and anti-PD-1 immunotherapy has shown efficacy in treating advanced melanoma. However, response rates vary significantly among patients, necessitating the identification of reliable biomarkers to predict treatment efficacy. Based on within-sample relative expression orderings, we analyzed RNA sequencing data from melanoma patients to construct a predictive model comprising gene pairs associated with treatment response. The model's performance was validated across multiple independent datasets and assessed for correlations with immune infiltration and survival outcomes. The constructed 15-pair model achieved a prediction accuracy of 100% in training datasets and 89

SUBMITTER: Gao Y 

PROVIDER: S-EPMC11937249 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature