Comprehensive multi-omics integration uncovers mitochondrial gene signatures for prognosis and personalized therapy in lung adenocarcinoma

Abstract The therapeutic efficacy of lung adenocarcinoma (LUAD), the most prevalent histological subtype of primary lung cancer, remains inadequate, with accurate prognostic assessment posing significant challenges. This study sought to elucidate the prognostic significance of mitochondrial-related...

Popoln opis

Bibliografske podrobnosti

Principais autores:	Wenjia Zhang, Lei Zhao, Tiansheng Zheng, Lihong Fan, Kai Wang, Guoshu Li
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2024-10-01
Serija:	Journal of Translational Medicine
Teme:	Lung adenocarcinoma Mitochondrial-related genes Machine learning Prognostic model Single nucleotide variation
Online dostop:	https://doi.org/10.1186/s12967-024-05754-y
Oznake:	Označite Brez oznak, prvi označite!