ArticlePathology oncology research : POR2014
Screening of hub genes and pathways in colorectal cancer with microarray technology.
Article in Pathology oncology research : POR, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 39 citations in OpenAlex.
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- Identification of the potential regulatory interactions in rheumatoid arthritis through a comprehensive analysis of lncRNA-related ceRNA networks.BMC musculoskeletal disorders · 2023Article
- Cancer and Alzheimer's Inverse Correlation: an Immunogenetic Analysis.Molecular neurobiology · 2023Review
- Exploring the molecular underpinning of psoriasis and its associated comorbidities through network approach: cross talks of genes and pathways.3 Biotech · 2023Article
- ICAT promotes colorectal cancer metastasis via binding to JUP and activating the NF-κB signaling pathway.Journal of clinical laboratory analysis · 2022Article
- VRK1 Predicts Poor Prognosis and Promotes Bladder Cancer Growth and MetastasisFrontiers in pharmacology · 2022Article
- Identification of methyltransferase-like protein 11B as a new prognostic biomarker for colorectal cancer through an analysis of The Cancer Genome Atlas.Journal of gastrointestinal oncology · 2021Article
- A network-biology approach for identification of key genes and pathways involved in malignant peritoneal mesothelioma.Genomics & informatics · 2021Article
- Integrated bioinformatics analysis for the identification of key genes and signaling pathways in thyroid carcinoma.Experimental and therapeutic medicine · 2021Article
- Analysis of the role of Frizzled 2 in different cancer types.FEBS open bio · 2021Article
- Ultrafine particles altered gut microbial population and metabolic profiles in a sex-specific manner in an obese mouse model.Scientific reports · 2021Article
- Low Expression of Keratin17 is Related to Poor Prognosis in Bladder Cancer.OncoTargets and therapy · 2021Article
- Transcriptomic landscaping of core genes and pathways of mild and severe psoriasis vulgaris.International journal of molecular medicine · 2021Article
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- A Novel Intercellular Communication-Associated Gene Signature for Prognostic Prediction and Clinical Value in Patients With Lung Adenocarcinoma.Frontiers in genetics · 2021Article
- Review
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- Identification of Pivotal Genes and Pathways in Osteoarthritic Degenerative Meniscal Lesions via Bioinformatics Analysis of the GSE52042 Dataset.Medical science monitor : international medical journal of experimental and clinical research · 2019Article
- Colonic Mucosal Transcriptomic Changes in Patients with Long-Duration Ulcerative Colitis Revealed Colitis-Associated Cancer Pathways.Journal of Crohn's & colitis · 2019Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Here we intend to identify key genes and pathways in the pathogenesis of colorectal cancer (CRC) through analyzing microarray data with bioinformatic tools. The gene expression profile dataset GSE23878 was downloaded from Gene Expression Omnibus and differentially expressed genes (DEGs) were screened out using Student's t-test. GO function and KEGG pathway enrichment analyses were performed for these DEGs with the DAVID online tool. Interaction network was constructed among the over-represented pathways based on the protein-protein interactions within the pathways. Besides, the protein interaction information obtained from HPRD database were applied to constructed protein-protein interaction networks among the DEGs and hub genes and function module were screened out. A total of 2,296 DEGs were obtained and they were enriched in 34 pathways. An interaction network was constructed among 32 pathways, in which p53 signaling pathway acted as the hub pathway as it showed the highest node degree. The protein-protein interaction network comprised 1,481 interaction relationships among 332 genes which included 40 DEGs. Further analysis revealed that theses DEGs formed 7 function modules and many genes, such as PDGFRB, MET, FZD2, CCND1, PRKCB, ARHGEF6, JUP, WNT2, WNT5A and WNT11 were key genes in the networks. The DEGs and disturbed biological functions uncovered in present study may play important roles in the development of CRC and can contribute to the understanding on molecular mechanisms of CRC. Further these DEGs we obtained can be acted as potential biomarkers for diagnosis and therapy of CRC.
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