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Characterizing prognostic and immunological traits of kidney renal clear cell carcinoma via mitochondria-associated membranes and identifying DNM1L as a potential therapeutic target using machine learning

Crossref DOI link: https://doi.org/10.1186/s12885-026-15603-4

Published Online: 2026-01-22

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

Authors

Li, Sheng

Lin, Jinkang

Zheng, Fucun

Liu, Xiaoqiang

Xiong, Situ

Fu, Bin

Zeng, Jin
Funding

Funding for this research was provided by:

National Natural Science Foundation of Jiangxi Province (20232BAB206090)

Jiangxi Provincial Department of Urology Key Laboratory (Grant No. 2024SSY06111)

National Natural Science Foundation of China (grant NO.82203365)

Jiangxi Provincial Health Commission Technology Plan Project (No. 202510025)
License Information

Text and Data Mining valid from 2026-01-22

Version of Record valid from 2026-02-16
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Article History

Received: 14 October 2025

Accepted: 13 January 2026

First Online: 22 January 2026

Declarations

:

: RNA was extracted from KIRC cancerous and adjacent non-cancerous tissues from the First Affiliated Hospital of Nanchang University. Human tissue procedures were approved by the hospital’s Ethics Committee (Approval ID: (2023) CDYFYYLK (03–013)) with patient informed consent. Animal protocols were approved by the hospital’s IACUC (Approval ID: CDYFY-IACUC-202505GR082). This research was conducted in strict adherence to the principles of the World Medical Association’s Declaration of Helsinki (revised 2013).

: Not applicable.

: The authors declare no competing interests.

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