SMR-guided molecular subtyping and machine learning model reveals novel prognostic biomarkers and therapeutic targets in non-small cell lung adenocarcinoma

SMR-guided molecular subtyping and machine learning model reveals novel prognostic biomarkers and therapeutic targets in non-small cell lung adenocarcinoma

Abstract Non-small cell lung adenocarcinoma (LUAD) is a markedly heterogeneous disease, with its underlying molecular mechanisms and prognosis prediction presenting ongoing challenges. In this study, we integrated data from multiple public datasets, including TCGA, GSE31210, and GSE13213, encompassi...

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Bibliographic Details
Main Authors: Baozhen Wang, Yichen Yin, Anqi Wang, Weidi Liu, Jing Chen, Tao Li
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Non-small cell lung adenocarcinoma, LUAD
Mendelian randomization
Molecular subtypes
Machine learning prognostic model
Multi-omics integrative analysis
Online Access:https://doi.org/10.1038/s41598-025-85471-8
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https://doi.org/10.1038/s41598-025-85471-8

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