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Integrated multi-omics analysis and machine learning refine molecular subtypes and prognosis in hepatocellular carcinoma through O-linked glycosylation genes

Crossref DOI link: https://doi.org/10.1007/s10142-025-01669-z

Published Online: 2025-07-28

Published Print: 2025-12

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

Authors

Li, Minghao

Li, Hongxu

Liu, Lei

Wei, Qianyi

Gao, Jie

Hu, Bowen

Wang, Zhihui

Guo, Wenzhi

Zhang, Yi

Zhang, Shuijun
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (81971881)

Medical Science and Technology Program of Henan (SB201901045)
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Text and Data Mining valid from 2025-07-28

Version of Record valid from 2025-07-28
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Article History

Received: 23 May 2025

Revised: 24 June 2025

Accepted: 10 July 2025

First Online: 28 July 2025

Declarations

:

: The studies involving human participants were reviewed and approved by the Ethics Committee of the First Affiliated Hospital of Zhengzhou University, China (2019-KY-21). The patients/participants provided their written informed consent to participate in this study.

: Not applicable.

: The authors declare no competing interests.

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