Evidence map›Paper›PMID 41272036›Full record

ArticleScientific reports2025

A SWI/SNF complex-related genes signature predicts prognosis and immune infiltration in ccRCC with KCNK5 as a novel biomarker.

Kai Xu, Zhiwei Yan, Yunxun Liu, Qiangmin Qiu, Xinmiao Ni, Hao Tang, Lei Wang, Zhiyuan Chen, Xiuheng Liu

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

9 authors.

Kai Xu *Department of Urology, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei, China.
Zhiwei Yan *Department of Urology, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei, China.
Yunxun Liu *Department of Urology, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei, China.
Qiangmin QiuDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei, China.
Xinmiao NiDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei, China.
Hao TangDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei, China.
Lei WangDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei, China. drwanglei@whu.edu.cn.
Zhiyuan ChenDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei, China. drchenzy@whu.edu.cn.
Xiuheng LiuDepartment of Urology, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei, China. drliuxh@whu.edu.cn.

Funding

National Natural Science Foundation of China 82372200
6 · The paper itself

Abstract

Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcinoma (RCC). Although we have made many achievements in the therapy of RCC with the progress of medicine, the clinical management of metastatic RCC remains a daunting challenge. SWI/SNF chromatin remodeling complex-related genes (SCRGs) are significantly associated with tumor progression and cancer cell evolution in ccRCC. This study aimed to investigate the prognostic significance of SCRGs in ccRCC to elucidate its molecular subtype characteristics. Using 29 known SCRGs, 532 ccRCC patients from the TCGA-KIRC cohort were classified into two subtypes (SCRGcluster A and SCRGcluster B). Patients in SCRGcluster B exhibited a significantly poorer prognosis compared to those in SCRGcluster A. Functional enrichment and immune microenvironment profiles significantly differed between the subtypes, with SCRGcluster B showing higher levels of immune infiltration. Five core genes (TMCC3, TOP2A, EPS8, PIK3R3, KCNK5) were identified through the integration of multiple machine learning approaches and multivariate Cox regression analysis. A novel prognostic model based on these core genes was validated in an external cohort. Additionally, single-cell data analysis revealed the expression patterns of these core genes in ccRCC. In vitro experiments demonstrated that KCNK5 is underexpressed in ccRCC cell lines and tissues, and that its overexpression suppresses malignant phenotypes. Specifically, KCNK5 overexpression significantly inhibited the proliferation, migration, and invasion capabilities of ccRCC cell lines. Although the precise functional mechanisms of these core genes in ccRCC are not yet fully elucidated, this study provides new insights for the treatment of ccRCC.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellChromosomal Proteins, Non-HistoneKidney NeoplasmsTranscription FactorsCell Line, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisTumor MicroenvironmentBiomarkers, TumorChromosomal Proteins, Non-HistoneTranscription FactorsCcRCCImmunotherapyMachine learningSWI/SNF prognosisTumor microenvironment

Identifiers

PMID41272036
PMCPMC12639153

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