Evidence map›Paper›PMID 40613969›Full record

ArticleDiscover oncology2025

Integrative analysis of cholesterol homeostasis reveals prognostic subtypes and immune features in clear cell renal cell carcinoma.

Jian Zhu, Minghao Deng, Weizhuo Wang, Aijin Peng, Anli Zhu, Rongchao Yang, Zhenhua Jin, Dong Zhang, Xi Zhang

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Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jian Zhu *Department of Urology, Nantong Hospital of Traditional Chinese Medicine, Nantong, 226001, China.
Minghao Deng *Department of Urology, Nantong Hospital of Traditional Chinese Medicine, Nantong, 226001, China.
Weizhuo Wang *Center for Reproductive Medicine, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, China.
Aijin PengDepartment of Urology, Nantong Hospital of Traditional Chinese Medicine, Nantong, 226001, China.
Anli ZhuDepartment of Urology, Nantong Hospital of Traditional Chinese Medicine, Nantong, 226001, China.
Rongchao YangDepartment of Urology, Nantong Hospital of Traditional Chinese Medicine, Nantong, 226001, China.
Zhenhua JinDepartment of Urology, Nantong Hospital of Traditional Chinese Medicine, Nantong, 226001, China.
Dong ZhangDepartment of Urology, Nantong Hospital of Traditional Chinese Medicine, Nantong, 226001, China. ntzy003@njucm.edu.cn.
Xi ZhangThe First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. zhangxi199803@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCholesterol is essential for tumor proliferation and progression. Cholesterol homeostasis has emerged as a key focus in cancer metabolism research. However, its role in clear cell renal cell carcinoma (ccRCC) remains poorly understood.

methodsRNA-sequencing and clinical data of ccRCC patients were obtained from The Cancer Genome Atlas and the Gene Expression Omnibus databases. The E-MTAB-1980 dataset served as an external validation cohort. Nonnegative Matrix Factorization was employed to construct the cholesterol homeostasis cluster. A cholesterol homeostasis signature (CHS) was constructed using the least absolute shrinkage and selection operator regression method to characterize the cholesterol metabolic status of ccRCC.

resultsTwo distinct molecular clusters associated with cholesterol homeostasis were identified, exhibiting divergent prognostic and immunological profiles. Analysis of immune cell infiltration revealed that Cluster C2 displayed immunosuppressive features, with enrichment of pro-tumor and immune-related pathways. The CHS was found to be predictive of both tumor immune status and clinical outcomes. Furthermore, we examined SREBF2, a key transcription factor in cholesterol regulation, and found that its high expression was associated with immune activation and favorable prognosis. Down-regulation of SREBF2 in ccRCC may lead to decreased cholesterol uptake and synthesis.

conclusionCholesterol homeostasis signature serves as a potential biomarker for prognosis, immune microenvironment status, and clinicopathological characteristics in ccRCC. Genes related to cholesterol homeostasis, such as SREBF2, may offer new therapeutic targets for immunomodulation in ccRCC.

Indexed as

Cancer metabolismCholesterol homeostasisClear cell renal cell carcinomaSREBF2Tumor microenvironment

Identifiers

PMID40613969
PMCPMC12227387

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