ArticleTranslational cancer research2020
Identification of biomarkers in colon cancer based on bioinformatic analysis.
Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 18 citations in OpenAlex.
- Identification and Validation of Prognostic Biomarker Signatures Associated with Overall Survival in Colorectal Cancer: Evidence from Bioinformatics Analysis and an in vivo Study.Asian Pacific journal of cancer prevention : APJCP · 2026Article
- Integrative single-cell and bulk transcriptomes analyses reveal T cell-related prognostic risk model and tumor immune microenvironment modulation in colorectal cancer.Translational cancer research · 2025Article
- Kinesin family member 14 in digestive tract malignancies: Oncogenic mechanisms, clinical implications, and therapeutic prospects.World journal of gastrointestinal oncology · 2025Article
- DEP domain‑containing 1 is a prognostic biomarker associated with the cell cycle in gliomas.Oncology letters · 2025Article
- Roles of DEPDC1 in various types of cancer (Review).Oncology letters · 2024Review
- Genome wide-scale CRISPR-Cas9 knockout screens identify a fitness score for optimized risk stratification in colorectal cancer.Journal of translational medicine · 2024Article
- Identification of Hub genes with prognostic values in colorectal cancer by integrated bioinformatics analysis.Cancer biomarkers : section A of Disease markers · 2024Article
- Ibero-American Consensus Review and Incorporation of New Biomarkers for Clinical Practice in Colorectal Cancer.Cancers · 2023Review
- FOXO3a‑modulated DEPDC1 promotes malignant progression of nephroblastoma via the Wnt/β‑catenin signaling pathway.Molecular medicine reports · 2022Article
- Comprehensive Pan-Cancer Analysis of GINS2 for Human Tumour Prognosis and as an Immunological Biomarker.Computational and mathematical methods in medicine · 2022Article
- Tumor mutation burden determined by a 645-cancer gene panel and compared with microsatellite instability and mismatch repair genes in colorectal cancer.Journal of gastrointestinal oncology · 2021Article
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Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundColon cancer is one of the most common cancers in the world. Targeting biomarkers is helpful for the diagnosis and treatment of colon cancer. This study aimed to identify biomarkers in colon cancer, in addition to those that have already been reported, using microarray datasets and bioinformatics analysis.
methodsWe downloaded two mRNA microarray datasets (GSE44076 and GSE47074) for colon cancer from the Gene Expression Omnibus (GEO) database and the most recent colon cancer data (COAD) from The Cancer Genome Atlas (TCGA) database. The differentially expressed genes (DEGs) between colon cancer and adjacent normal tissues were determined based on these three datasets. Additionally, we performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, and protein-protein interaction (PPI) network analysis. The hub genes in the PPI network were then selected and analysed.
resultsWe identified 150 DEGs and the GO enrichment analysis revealed that these DEGs were enriched in functions related to accelerating the cell cycle, promoting tumour cell accumulation, promoting cell division, positively regulating cell division, and negatively regulating apoptosis. The KEGG pathway analysis indicated that the DEGs were also involved in the cell cycle pathway. In the PPI network, 34 hub genes were found to be enriched in cell division. Prognostic analysis of the 34 hub genes revealed that eight genes (
conclusionsThe genes
Indexed as
Identifiers
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