ArticleBMC genomics2017
Associating transcriptional modules with colon cancer survival through weighted gene co-expression network analysis.
Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed, 55 citations in OpenAlex.
- Weighted Gene Coexpression Network Analysis Identified MicroRNA Coexpression Modules and Related Pathways in Type 2 Diabetes Mellitus.Oxidative medicine and cellular longevity · 2019Trial
- CCDC78 is required for prostate cancer cell growth and serves as a prognostic biomarker for high-risk disease.Discover oncology · 2026Article
- An Integrative Genomics Approach for the Discovery of Potential Clinically Actionable Diagnostic and Prognostic Biomarkers in Colorectal Cancer.Biomedicines · 2025Article
- Algorithmically Reconstructed Molecular Pathways as the New Generation of Prognostic Molecular Biomarkers in Human Solid Cancers.Proteomes · 2023Article
- Identification of host genomic biomarkers from multiple transcriptomics datasets for diagnosis and therapies of SARS-CoV-2 infections.PloS one · 2023Article
- Exploiting protein family and protein network data to identify novel drug targets for bladder cancer.Oncotarget · 2022Article
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- Potential role of viral infection and B cells as a linker between innate and adaptive immune response in systemic lupus erythematosus.Immunologic research · 2021Article
- Modular Reorganization of Signaling Networks during the Development of Colon Adenoma and Carcinoma.The journal of physical chemistry. B · 2021Article
- Predicting Protein Functions Based on Differential Co-expression and Neighborhood Analysis.Journal of computational biology : a journal of computational molecular cell biology · 2021Article
- A Novel IGLC2 Gene Linked With Prognosis of Triple-Negative Breast Cancer.Frontiers in oncology · 2021Article
- TCox: Correlation-Based Regularization Applied to Colorectal Cancer Survival Data.Biomedicines · 2020Article
- Identification of gene modules associated with survival of diffuse large B-cell lymphoma treated with CHOP-based chemotherapy.The pharmacogenomics journal · 2020Article
- WGCNA reveals key gene modules regulated by the combined treatment of colon cancer with PHY906 and CPT11.Bioscience reports · 2020Article
- Gene coexpression network analysis revealed biomarkers correlated with blast cells and survival in acute myeloid leukemia.Molecular and clinical oncology · 2020Article
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- Construction and Analysis of lncRNA-Mediated ceRNA Network in Nasopharyngeal Carcinoma Based on Weighted Correlation Network Analysis.BioMed research international · 2020Article
- Weighted gene co-expression network analysis identified MYL9 and CNN1 are associated with recurrence in colorectal cancer.Journal of Cancer · 2020Article
- Four genes relevant to pathological grade and prognosis in ovarian cancer.Cancer biomarkers : section A of Disease markers · 2020Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundColon cancer (CC) is a heterogeneous disease influenced by complex gene networks. As such, the relationship between networks and CC should be elucidated to obtain further insights into tumour biology.
resultsWeighted gene co-expression network analysis, a powerful technique used to extract co-expressed gene networks from mRNA expressions, was conducted to identify 11 co-regulated modules in a discovery dataset with 461 patients. A transcriptional module enriched in cell cycle processes was correlated with the recurrence-free survival of the CC patients in the discovery (HR = 0.59; 95% CI = 0.42-0.81) and validation (HR = 0.51; 95% CI = 0.25-1.05) datasets. The prognostic potential of the hub gene Centromere Protein-A (CENPA) was also identified and the upregulation of this gene was associated with good survival. Another cell cycle phase-related gene module was correlated with the survival of the patients with a KRAS mutation CC subtype. The downregulation of several genes, including those found in this co-expression module, such as cyclin-dependent kinase 1 (CDK1), was associated with poor survival.
conclusionNetwork-based approaches may facilitate the discovery of biomarkers for the prognosis of a subset of patients with stage II or III CC, these approaches may also help direct personalised therapies.
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