ArticleFrontiers in oncology2020
Identification Hub Genes in Colorectal Cancer by Integrating Weighted Gene Co-Expression Network Analysis and Clinical Validation
Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 50 citations in OpenAlex.
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- Development and validation of disulfidptosis-related genes signature for patients with glioma.Discover oncology · 2024Article
- Functional investigation and two-sample Mendelian randomization study of primary biliary cholangitis hub genes.World journal of clinical cases · 2024Article
- New treatment alternatives for primary and metastatic colorectal cancer by an integrated transcriptome and network analyses.Scientific reports · 2024Article
- Impact of glioma metabolism-related gene ALPK1 on tumor immune heterogeneity and the regulation of the TGF-β pathway.Frontiers in immunology · 2024Article
- Analysis of weighted gene co-expression networks and clinical validation identify hub genes and immune cell infiltration in the endometrial cells of patients with recurrent implantation failure.Frontiers in genetics · 2024Article
- Construction of the novel immune risk scoring system related to CD8Cancer cell international · 2023Article
- Bioinformatics screening of colorectal-cancer causing molecular signatures through gene expression profiles to discover therapeutic targets and candidate agents.BMC medical genomics · 2023Article
- Analysis of scRNA-seq and bulk RNA-seq demonstrates the effects of EVI2B or CD361 on CD8Experimental biology and medicine (Maywood, N.J.) · 2023Article
- Bioinformatics analysis of the key genes in osteosarcoma metastasis and immune invasion.Translational pediatrics · 2022Article
- Bottom-Up Approach to the Discovery of Clinically Relevant Biomarker Genes: The Case of Colorectal Cancer.Cancers · 2022Article
- Integrated weighted gene co-expression network analysis reveals biomarkers associated with prognosis of high-grade serous ovarian cancer.Journal of clinical laboratory analysis · 2022Article
- Reference Module-Based Analysis of Ovarian Cancer Transcriptome Identifies Important Modules and Potential Drugs.Biochemical genetics · 2022Article
- Cell-specific gene association network construction from single-cell RNA sequence.Cell cycle (Georgetown, Tex.) · 2021Article
- Article
- Identification of Hub Genes in Different Stages of Colorectal Cancer through an Integrated Bioinformatics Approach.International journal of environmental research and public health · 2021Article
- Role of Stress-Survival Pathways and Transcriptomic Alterations in Progression of Colorectal Cancer: A Health Disparities Perspective.International journal of environmental research and public health · 2021Review
- Identification of key genes in calcific aortic valve disease via weighted gene co-expression network analysis.BMC medical genomics · 2021Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer (CRC) is the third leading cause of death in the world. However, the key roles of most molecules in CRC remain unclear. This study aimed to identify key modules and hub genes associated with the progression of CRC. The data of the patients with CRC were obtained from the Gene Expression Omnibus (GEO) database and assessed by weighted gene co-expression network analysis (WGCNA), Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses performed in R. by WGCNA, several hub genes that regulate the mechanism of tumorigenesis in CRC were identified, which were associated with clinical traits. Next, we screened hub genes related to the progression of CRC authenticated by The Cancer Genome Atlas (TCGA) and Oncomine databases. Three hub genes (HCLS1, EVI2B, and CD48) were identified, and survival analysis was further performed. Moreover, the results of qPCR and immunohistochemistry staining revealed that HCLS1, EVI2B, and CD48 are tumor suppressor genes. Further, the functional study verified that over-expression of HCLS1, EVI2B, and CD48 can reduce the proliferation, migration, and invasion ability of CRC cells and significantly suppress CRC tumor growth
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