Development of a novel disulfidptosis-correlated m6A/m1A/m5C/m7G gene signature to predict prognosis and therapeutic response for lung adenocarcinoma patients by integrated machine-learning

Development of a novel disulfidptosis-correlated m6A/m1A/m5C/m7G gene signature to predict prognosis and therapeutic response for lung adenocarcinoma patients by integrated machine-learning

Abstract Background Lung adenocarcinoma (LUAD) represents a significant global health burden, necessitating advanced prognostic tools for improved patient management. RNA modifications (m6A, m1A, m5C, m7G), and disulfidptosis, a novel cell death mechanism, have emerged as promising biomarkers and th...

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Bibliographic Details
Main Authors: Bilin Xu, Liangyu Zhang, Lijie Lin, Yanfeng Lin, Fancai Lai
Format: Article
Language:English
Published: Springer 2024-11-01
Series:Discover Oncology
Subjects:
Disulfidptosis
m6A/m1A/m5C/m7G
Machine-learning
Lung adenocarcinoma
Prognosis
Online Access:https://doi.org/10.1007/s12672-024-01530-y
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https://doi.org/10.1007/s12672-024-01530-y

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