Integrating multiple machine learning methods to construct glutamine metabolism-related signatures in lung adenocarcinoma

Integrating multiple machine learning methods to construct glutamine metabolism-related signatures in lung adenocarcinoma

BackgroundGlutamine metabolism (GM) is known to play a critical role in cancer development, including in lung adenocarcinoma (LUAD), although the exact contribution of GM to LUAD remains incompletely understood. In this study, we aimed to discover new targets for the treatment of LUAD patients by us...

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Bibliographic Details
Main Authors: Pengpeng Zhang, Shengbin Pei, Leilei Wu, Zhijia Xia, Qi Wang, Xufeng Huang, Zhangzuo Li, Jiaheng Xie, Mingjun Du, Haoran Lin
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Endocrinology
Subjects:
lung adenocarcinoma
glutamine
signature
prognosis
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2023.1196372/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2023.1196372/full

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