Evidence map›Paper›PMID 40520872›Full record

ArticleAmerican journal of cancer research2025

Identification of lipid metabolism-related marker genes in colorectal cancer.

Bo Gao, Jitao Hu, Hao Wu, Baokun Li

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Article in American journal of cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing 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

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Bo GaoSecond Departments Surgery, The Fourth Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.
Jitao HuSecond Departments Surgery, The Fourth Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.
Hao WuClinical Laboratory of East Hospital, The Fourth Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.
Baokun LiSecond Departments Surgery, The Fourth Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify lipid metabolism associated biomarkers in colorectal cancer (CRC).

methodsTo refine our list of candidate genes, we utilized the Molecular Complex Detection (MCODE) plug-in within Cytoscape software and performed protein-protein interaction (PPI) network analysis to extract hub genes centrally located within the networks, which potentially possess important regulatory functions. Hub gene-associated miRNAs and transcription factors (TFs) were analyzed using miRNet. Immunohistochemical staining was employed to verify the expression levels of hub genes in clinical CRC tissues. Concurrently, cellular experiments were designed to explore the functional roles of the hub gene DHCR7 at the cellular level, providing scientific evidence for the precision treatment of CRC.

resultsA total of 9008 differentially expressed genes (DEGs) were identified between CRC and control samples. Gene Set Enrichment Analysis (GSEA) revealed that these DEGs were mainly enriched in biological processes such as myogenesis, adipogenesis, oxidative phosphorylation, and fatty acid metabolism. Using Weighted Gene Co-expression Network Analysis (WGCNA), we found that the pink and yellow modules were most significantly associated with CRC. Cytoscape analysis identified six hub genes (DHCR7, FABP4, FASN, FAXDC2, PTGIS, SLC27A6). Their diagnostic performance was verified in the external GSE23878 dataset. Clinical studies showed a downregulation trend in the expression of FAXDC2 and PTGIS in CRC tissue samples, while FASN and DHCR7 were up-regulated in colon cancer tissues. However, the expression trend of FABP4 was inconsistent with previous bioinformatics predictions. Further cellular experimental results demonstrated that DHCR7 knockdown significantly inhibited CRC cell proliferation and induced apoptosis, which strongly supported the previous bioinformatics analysis.

conclusionOur research successfully identified six hub genes in CRC through a series of rigorous analyses and experimental validations. These findings provide important molecular basis for further investigation into the pathogenesis and progression of CRC.

Indexed as

CRChub genelipid metabolism-related genes

Identifiers

PMID40520872
PMCPMC12163457

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