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

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...

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Bibliographic Details
Main Authors: Wenjia Zhang, Lei Zhao, Tiansheng Zheng, Lihong Fan, Kai Wang, Guoshu Li
Format: Article
Language:English
Published: BMC 2024-10-01
Series:Journal of Translational Medicine
Subjects:
Lung adenocarcinoma
Mitochondrial-related genes
Machine learning
Prognostic model
Single nucleotide variation
Online Access:https://doi.org/10.1186/s12967-024-05754-y

Internet

https://doi.org/10.1186/s12967-024-05754-y

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