ArticleJournal of ovarian research2016
A network-pathway based module identification for predicting the prognosis of ovarian cancer patients.
Article in Journal of ovarian research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- [The Role of Cuproptosis Related Key Genes in Ovarian Cancer and the Construction of a Prognostic Model].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026Article
- Yeast Phenomic Analysis Reveals DNA Repair, pH Homeostasis, and Ribosomal Biogenesis as Modulators of Anticancer Ruthenium Complex KP1019.International journal of molecular sciences · 2026Article
- Pan cohort immune biomarker of CD8 lymphocyte activation enabling HGSOC outcome prediction and treatment response.Discover oncology · 2025Article
- Role of the AIM2 Inflammasome in Cancer: Potential Therapeutic Strategies.Biomedicines · 2025Review
- From mechanisms to therapies: the multifaceted roles of guanylate-binding protein 2 in immunity, cancer, and beyond.Frontiers in immunology · 2025Review
- Review
- Dual targeting of Saccharomyces cerevisiae Pso2 to mitochondria and the nucleus, and its functional relevance in the repair of DNA interstrand crosslinks.G3 (Bethesda, Md.) · 2022Article
- Wnt antagonist as therapeutic targets in ovarian cancer.The international journal of biochemistry & cell biology · 2022Review
- POLD2 is activated by E2F1 to promote triple-negative breast cancer proliferation.Frontiers in oncology · 2022Article
- Dickkopf Proteins and Their Role in Cancer: A Family of Wnt Antagonists with a Dual Role.Pharmaceuticals (Basel, Switzerland) · 2021Review
- Identification of Bioactive SNM1A Inhibitors.ACS omega · 2021Article
- The Prognostic and Immunological Value of Guanylate-Binding Proteins in Lower-Grade Glioma: Potential Markers or Not?Frontiers in genetics · 2021Article
- The SNM1A DNA repair nuclease.DNA repair · 2020Review
- ShRNA-based POLD2 expression knockdown sensitizes glioblastoma to DNA-Damaging therapeutics.Cancer letters · 2020Article
- Cytokine-Induced Guanylate Binding Protein 1 (GBP1) Release from Human Ovarian Cancer Cells.Cancers · 2020Article
- Plasma GBP2 promoter methylation is associated with advanced stages in breast cancer.Genetics and molecular biology · 2020Article
- Comparative transcriptome analysis of matched primary and distant metastatic ovarian carcinoma.BMC cancer · 2019Article
- Discovery of core genes in colorectal cancer by weighted gene co-expression network analysis.Oncology letters · 2019Article
- Overexpression of GBP1 predicts poor prognosis and promotes tumor growth in human glioblastoma multiforme.Cancer biomarkers : section A of Disease markers · 2019Article
- Comparisons of gene coexpression network modules in breast cancer and ovarian cancer.BMC systems biology · 2018Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aimed to screen multiple genes biomarkers based on gene expression data for predicting the survival of ovarian cancer patients.
methodsTwo microarray data of ovarian cancer samples were collected from The Cancer Genome Atlas (TCGA) database. The data in the training set were used to construct Reactome functional interactions network, which then underwent Markov clustering, supervised principal components, Cox proportional hazard model to screen significantly prognosis related modules. The distinguishing ability of each module for survival was further evaluated by the testing set. Gene Ontology (GO) functional and pathway annotations were performed to identify the roles of genes in each module for ovarian cancer.
resultsThe network based approach identified two 7-gene functional interaction modules (31: DCLRE1A, EXO1, KIAA0101, KIN, PCNA, POLD3, POLD2; 35: DKK3, FABP3, IRF1, AIM2, GBP1, GBP2, IRF2) that are associated with prognosis of ovarian cancer patients. These network modules are related to DNA repair, replication, immune and cytokine mediated signaling pathways.
conclusionsThe two 7-gene expression signatures may be accurate predictors of clinical outcome in patients with ovarian cancer and has the potential to develop new therapeutic strategies for ovarian cancer patients.
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