Identification of novel molecular subtypes and construction of a prognostic signature via multi-omics analysis and machine learning in lung adenocarcinoma
IntroductionThe development of high-throughput sequencing technologies and targeted therapeutic strategies has significantly improved the prognosis of lung adenocarcinoma (LUAD) patients with sensitive gene mutations. However, patients harboring rare or no actionable mutations were rarely benefit fr...
Saved in:
| Main Authors: | Ke Ma, Jie Xu, Congyue Wang, Xu Cao, Wenjie Yu, Jingjing Xi, Xuan Zhang, Jiamin Zhan, Yang Liu, Aoyang Yu, Shuhan Liu, Yanhua Liu, Chong Chen, Xiaoli Mai |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-07-01
|
| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2025.1590216/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A multi-omics prognostic model of cuproptosis affects the prognosis of stomach adenocarcinoma
by: Yinying Wu, et al.
Published: (2025-06-01) -
Identification of matrix stiffness-related molecular subtypes in HCC via integrating multi-omics analysis and machine learning algorithms
by: Hanqi Li, et al.
Published: (2025-07-01) -
In-depth exploration of programmed cell death-related subtypes and development of a prognostic signature model in lung adenocarcinoma
by: Desheng Zhou, et al.
Published: (2025-07-01) -
Endoplasmic reticulum stress-related prognosis signature characterizes the immune landscape and predicts the prognosis of colon adenocarcinoma
by: Lichao Cao, et al.
Published: (2025-04-01) -
Machine learning developed an immune evasion signature for predicting prognosis and immunotherapy benefits in lung adenocarcinoma
by: Dongxiao Ding, et al.
Published: (2025-06-01)