Multi-omics protein signaling networks identify sex-specific therapeutic candidates in lung adenocarcinoma.

ABSTRACT:

Background

Lung adenocarcinoma shows distinct differences between males and females in incidence, prognosis, and treatment response, suggesting unique molecular mechanisms that remain underexplored. This study aims to identify sex-specific molecular signatures and therapeutic targets in lung adenocarcinoma using multi-omics approaches to inform personalized treatment strategies.

Methods

We conducted an integrative analysis of transcriptomic and proteomic data from the Clinical Proteomic Tumor Analysis Consortium (CPTAC) and The Cancer Genome Atlas (TCGA) datasets, comparing male and female lung adenocarcinoma profiles. Transcription factor activity was assessed using TIGER on gene expression data, while kinase activity was evaluated with PTM-SEA on proteomic data. These resu

SUBMITTER: Chen C 

PROVIDER: S-EPMC12482505 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature