Evidence map›Paper›PMID 41824163›Full record

ArticleDiscover oncology2026

A new cuproptosis-associated lncRNA signature predicts the prognosis of clear cell renal cell carcinoma patients.

Mu He, Wei Hu, Yi Guan, Wenjing Shu, Yan Leng, Hengcheng Zhu, Kang Yang

Abstract read
In one paragraph

Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Mu He *Department of Urology, Renmin Hospital of Wuhan University, Wuhan, 443002, Hubei Province, P.R. China.
Wei Hu *Department of Urology, Renmin Hospital of Wuhan University, Wuhan, 443002, Hubei Province, P.R. China.
Yi GuanDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, 443002, Hubei Province, P.R. China.
Wenjing ShuDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, 443002, Hubei Province, P.R. China.
Yan LengDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, 443002, Hubei Province, P.R. China.
Hengcheng ZhuDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, 443002, Hubei Province, P.R. China. zhcheng2018@outlook.com.
Kang YangDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, 443002, Hubei Province, P.R. China. kangyang@whu.edu.cn.

Funding

the National Natural Science Foundation of China No. 82100703the Natural Foundation of Hubei Province No. 2022CFC015
6 · The paper itself

Abstract

objectiveClear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcinoma. Cuproptosis is a new type of programmed cell death that is mediated by protein lipid acylation and is closely linked to mitochondrial metabolism.

methodsThe Cancer Genome Atlas (TCGA) database provided us with RNA-Seq data together with the related clinical and prognostic information. Using univariate Cox, 135 prognostic lncRNAs associated with cuproptosis were identified for use in prognostic model construction. Multivariate Cox analysis was subsequently used to further integrate these lncRNAs. We used subject operating characteristic (ROC) curve analysis and Kaplan-Meier (K-M) survival curve analysis to assess the model’s prognostic ability. In order to predict immune escape and potential therapeutic drugs in the two groups, we also looked at the differences in immunological and tumor mutational burden between the high- and low-risk groups. The quantitative polymerase chain reaction (Q-PCR) was then used to validate the risk model.

resultsThe lncRNA profile linked to cuproptosis is used to divide patients into two risk categories, with the lower risk group having a better prognosis. The tumor mutational burden was larger, immune escape was more likely to occur, and immunotherapy results were generally worse in the high-risk group. The traditional chemotherapeutic medications sunitinib, AKT inhibitor VIII, rapamycin, and lapatinib were more effective in low-risk individuals. Six prognostic lncRNAs were ultimately confirmed in human cell lines, including HK-2, ACHN, 769-P, and CAKI-1.

conclusionsA risk model based on six cuproptosis-related lncRNAs has a high predictive value for ccRCC and might be a medical target for cuproptosis.

Indexed as

CuproptosisLong-stranded non-coding RNAsRenal cell carcinomaSNHG3Therapy

Identifiers

PMID41824163
PMCPMC13100239

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