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Senescence-related gene signature predicts prostate cancer progression and identifies PCNA as a therapeutic target via multi-omics machine learning integration

Crossref DOI link: https://doi.org/10.1038/s41416-025-03309-6

Published Online: 2025-12-18

Published Print: 2026-02-20

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

Authors

Lin, Renxuan

Un, Hiocheng

Kang, Youmei

Lei, Jiahao

Chen, Lingwu

Liu, Ren https://orcid.org/0000-0003-4674-7292
Wang, Zongren https://orcid.org/0000-0002-4925-7232
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (82372056)

National Natural Science Foundation of China (82273299)

National Natural Science Foundation of China (82403533)

Sun Yat-sen University (R07019)

Guangdong Science and Technology Department (2020B1111170006)
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Text and Data Mining valid from 2025-12-18

Version of Record valid from 2025-12-18
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Article History

Received: 14 August 2025

Revised: 20 November 2025

Accepted: 3 December 2025

First Online: 18 December 2025

Competing interests

: The authors declare no competing interests.

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