ArticleWorld journal of surgical oncology2020
CDK1 and CDC20 overexpression in patients with colorectal cancer are associated with poor prognosis: evidence from integrated bioinformatics analysis.
Article in World journal of surgical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
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Who cites it
53 citing papers in PubMed, 86 citations in OpenAlex.
- Integrative multi-transcriptomics and network pharmacology reveal natural therapeutics as anti-cancer agents targeting AURKA for ovarian cancer treatment.Journal, genetic engineering & biotechnology · 2026Article
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- Investigating the mechanisms of malignant progression in colorectal cancer using weighted gene co-expression network analysis and machine learning.Journal of molecular histology · 2026Article
- The diagnostic value of CDC20 for malignant pleural effusion of lung adenocarcinoma.Scientific reports · 2026Article
- The Role of CDKs in the Regulation of the Monocyte/Macrophage Immune Response.Current medicinal chemistry · 2026Review
- Decoding Colorectal Cancer: Key Genes and Pathways in the Chinese Population Revealed.Current medicinal chemistry · 2026Article
- Identifying Prognostic Biomarkers and Key Pathways in Renal Clear Cell Carcinoma: A Pilot Study Using Integrated miRNA and Gene Expression Analysis.Biochemistry research international · 2026Article
- Biochemical and Comparative Proteomic Analyses Delineate the Anti-Ovarian Carcinogenic Roles of Modified Calycosin.Food science & nutrition · 2026Article
- Gene expression network analysis identified CDK1 and KIF11 as possible key molecules in the development of colorectal cancer from normal tissues.Genomics & informatics · 2025Article
- Article
- CDK1 Acts as a Prognostic Biomarker Associated with Immune Infiltration in Pan-cancer, Especially in Gastrointestinal Tumors.Current medicinal chemistry · 2025Article
- Identification of Novel lncRNAs Related to Colorectal Cancer Through Bioinformatics Analysis.BioMed research international · 2025Article
- PTPN11 is a potential biomarker for type 2 diabetes mellitus complicated with colorectal cancer.Scientific reports · 2024Article
- Integrating machine learning and bioinformatics approaches for identifying novel diagnostic gene biomarkers in colorectal cancer.Scientific reports · 2024Article
- SRSF9 promotes cell proliferation and migration of glioblastoma through enhancing CDK1 expression.Journal of cancer research and clinical oncology · 2024Article
- Ku70 senses cytosolic DNA and assembles a tumor-suppressive signalosome.Science advances · 2024Article
- Proteomic study of medicinal mushroom extracts reveals antitumor mechanisms in an advanced colon cancer animal model via ribosomal biogenesis, translation, and metabolic pathways.Frontiers in pharmacology · 2024Article
- Utilizing an In-silico Approach to Pinpoint Potential Biomarkers for Enhanced Early Detection of Colorectal Cancer.Cancer informatics · 2024Article
- Article
- Kinase Signaling in Colitis-Associated Colon Cancer and Inflammatory Bowel Disease.Biomolecules · 2023Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundColorectal cancer (CRC) is one of the most common malignancies of the digestive system, which causes severe financial burden worldwide. However, the specific mechanisms involved in CRC are still unclear.
methodsTo identify the significant genes and pathways involved in the initiation and progression of CRC, the microarray dataset GSE126092 was downloaded from Gene Expression Omnibus (GEO) database, and then, the data was analyzed to identify differentially expressed genes (DEGs). Subsequently, the Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed on these DEGs using the DAVID database, and the protein-protein interaction (PPI) network was constructed using the STRING database and analyzed using the Cytoscape software. Finally, hub genes were screened, and the survival analysis was performed on these hub genes using the Kaplan-Meier curves in the cBioPortal database.
resultsIn total, 937 DEGs were obtained, including 316 upregulated genes and 621 downregulated genes. GO analysis revealed that the DEGs were mostly enriched in terms of nuclear division, organelle fission, cell division, and cell cycle process. KEGG pathway analysis showed that the DEGs were mostly enriched in cell cycle, oocyte meiosis, cytokine-cytokine receptor interaction, and cGMP-PKG signaling pathway. The PPI network comprised 608 nodes and 3100 edges, and 4 significant modules and 10 hub genes with the highest degree were identified using the Cytoscape software. Finally, survival analysis showed that overexpression of CDK1 and CDC20 in patients with CRC were statistically associated with worse overall survival.
conclusionsThis bioinformatics analysis revealed that CDK1 and CDC20 might be candidate targets for diagnosis and treatment of CRC, which provided valuable clues for CRC.
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