Evidence map›Paper›PMID 42175500›Full record

ArticleMedicine2026

Expression and prognostic value of cholesterol homeostasis genes in hepatocellular carcinoma: A cohort study based on TCGA.

Chongyu Ding, Jianghua Huo, Ya-Qian Xu, Hui Zhang, Yulu Gong, Darong Hao, Dan Meng

Abstract read
In one paragraph

Article in Medicine, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chongyu DingSchool of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China.ORCID 0000-0001-5371-1162
Jianghua HuoSchool of Public Health and Management, Jiangsu Medical College, Jiangsu, PR China.
Ya-Qian XuSchool of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China.
Hui ZhangSchool of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China.
Yulu GongSchool of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China.
Darong HaoSchool of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China.
Dan MengCommunity Health Service Center of Haiwan Town, Shanghai, PR China.ORCID 0009-0005-5859-4686

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cholesterol metabolism is critical in cancer biology, yet its role in hepatocellular carcinoma (HCC) remains poorly understood. We investigated the expression and prognostic significance of cholesterol homeostasis genes in HCC to identify potential biomarkers for risk stratification. Using data from The Cancer Genome Atlas, we identified differentially expressed cholesterol-related genes (logFC ≥ 1.5, false discovery rate < 0.05), intersecting them with genes annotated in the Molecular Signatures Database. Prognostic biomarkers were evaluated using univariate and multivariate Cox regression. A predictive model was constructed to assess survival outcomes. Cholesterol homeostasis genes, particularly fatty acid-binding protein 5 (FABP5) and alcohol dehydrogenase 4 (ADH4), are key prognostic biomarkers in HCC. The proposed model provides a novel approach for predicting outcomes and may inform therapeutic strategies. Further studies are needed to validate these findings and explore their clinical utility. Nine cholesterol homeostasis genes were differentially expressed, including 6 upregulated (choline kinase alpha, FABP5, fatty acid synthase, farnesyl diphosphate synthase, mevalonate diphosphate decarboxylase, and squalene epoxidase) and 3 downregulated (ADH4, activating transcription factor 5, and arginine vasopressin receptor 1A). FABP5 and ADH4 emerged as independent prognostic factors: high FABP5 expression was associated with poor prognosis, while high ADH4 expression predicted improved survival. A prognostic model integrating FABP5 and ADH4 and clinical characteristics achieved a concordance index of 0.683, effectively stratifying patients into high-risk and low-risk groups (χ2 = 20.60, P < .001) with median survival times of 1135 and 2532 days, respectively.

Indexed as

Carcinoma, HepatocellularCholesterolHomeostasisLiver NeoplasmsAlcohol DehydrogenaseBiomarkers, TumorCohort StudiesFatty Acid-Binding ProteinsFemaleGene Expression Regulation, NeoplasticHumansMalePrognosisAlcohol Dehydrogenasealcohol dehydrogenase IVBiomarkers, TumorCholesterolFABP5 protein, humanFatty Acid-Binding Proteinsalcohol dehydrogenase 4 (ADH4)cholesterol homeostasis genescholine kinase alpha (CHKA)fatty acid-binding protein 5 (FABP5)hepatocellular carcinomasqualene epoxidase (SQLE)

Identifiers

PMID42175500
PMCPMC13200945

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.