TITLE:
Entrectinib in Lung Adenocarcinoma: Network Toxicology Identification of Prognostic Genes, Toxicity Targets and Combination Drugs
AUTHORS:
Yanting Xiao, Bin Ning, Fangwei Xiong, Jiale Shao, Liangcheng Huang
KEYWORDS:
Lung Adenocarcinoma, Entrectinib, Network Toxicology, Prognostic Model, Molecular Docking, Drug Sensitivity
JOURNAL NAME:
Journal of Biosciences and Medicines,
Vol.14 No.6,
June
2,
2026
ABSTRACT: Entrectinib is a potent targeted agent for ROS1-positive lung adenocarcinoma (LUAD), but its side effects, resistance mechanisms and combination therapies remain understudied. Here, we integrated network toxicology and bioinformatics to explore its core gene signatures, prognostic value, toxic targets and potential combinations using TCGA transcriptomic data, PPI network, Cox model with SHAP analysis, molecular docking and GDSC drug screening. We identified 93 candidate and 20 hub genes enriched in cell cycle pathways. The prognostic model showed robust performance (HR = 2.034, P