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Integrated machine learning and multi-omics analysis develop a consensus necrosis induced by sodium overload-related signature for predicting prognosis and drug sensitivity for lung adenocarcinoma

Crossref DOI link: https://doi.org/10.1007/s13721-025-00648-5

Published Online: 2025-11-20

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Li, Chunhong https://orcid.org/0000-0003-2943-0306
Qin, Wangshang

Mao, Yuhua

Hu, Jiahua

Nong, Shirong

Liu, Yi
Funding

Funding for this research was provided by:

the self-financed scientific research project of Guangxi Zhuang Autonomous Region Health Commission (No. Z-C20240911, No. Z-C20240915)

the project of improving the basic scientific research ability of young and middle-aged teachers in Guangxi universities (No. 2025KY0519)
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Text and Data Mining valid from 2025-11-20

Version of Record valid from 2025-11-20
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Article History

Received: 11 May 2025

Revised: 30 October 2025

Accepted: 31 October 2025

First Online: 20 November 2025

Declarations

:

: As the sequencing data from the TCGA and GEO databases are publicly available, further approval by an ethics committee was not required.

: Not applicable.

: The authors declare that they have no competing interests.

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