A novel proteomic prognostic signature characterizes the immune landscape and predicts nasopharyngeal carcinoma prognosis.

ABSTRACT:

Background

Nasopharyngeal carcinoma (NPC) is a highly diverse and aggressive cancer type, leading to varying prognoses and responses to immunotherapy. This study aims to develop a protein-based signature that provides new insights into assessing the prognosis and immunotherapeutic response in NPC patients.

Methods and results

We obtained transcriptomic and proteomic data for NPC from TCGA and CPTAC databases, respectively. Differentially expressed proteins with prognostic significance were identified using limma combined with uniCox analysis. A prognostic protein signature was created utilizing the LASSO algorithm. Receiver operating characteristic (ROC) curve analysis along with Kaplan-Meier survival analysis was conducted to assess the predictive accuracy of this signature

SUBMITTER: Zhu L 

PROVIDER: S-EPMC11462186 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature