ArticleScientific reports2015
Network-based survival-associated module biomarker and its crosstalk with cell death genes in ovarian cancer.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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28 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- A VEGF-dependent gene signature enriched in mesenchymal ovarian cancer predicts patient prognosis.Scientific reports · 2016Pooled it
- High-Grade Serous Ovarian Carcinoma in the Genomics Era: Current Applications, Challenges and Future Directions.International journal of molecular sciences · 2026Review
- Identification of key candidate genes for ovarian cancer using integrated statistical and machine learning approaches.Briefings in bioinformatics · 2025Article
- Extraction and Prioritization of a Gene-Cancer-By-Survival Network Involved in Homeostasis of Intracellular Calcium Concentrations Using TCGA PANCAN Data.Bioelectricity · 2022Article
- Developing a label propagation approach for cancer subtype classification problem.Turkish journal of biology = Turk biyoloji dergisi · 2022Article
- Survival-Based Biomarker Module Identification Associated with Oral Squamous Cell Carcinoma (OSCC).Biology · 2021Article
- Differential Co-Expression Analyses Allow the Identification of Critical Signalling Pathways Altered during Tumour Transformation and Progression.International journal of molecular sciences · 2020Review
- Kinase-substrate Edge Biomarkers Provide a More Accurate Prognostic Prediction in ER-negative Breast Cancer.Genomics, proteomics & bioinformatics · 2020Article
- Analyzing the regulation of miRNAs on protein-protein interaction network in Hodgkin lymphoma.BMC bioinformatics · 2019Article
- A Multi-Cohort and Multi-Omics Meta-Analysis Framework to Identify Network-Based Gene Signatures.Frontiers in genetics · 2019Article
- EMT network-based feature selection improves prognosis prediction in lung adenocarcinoma.PloS one · 2019Article
- Identification of a noncoding RNA‑mediated gene pair‑based regulatory module in Alzheimer's disease.Molecular medicine reports · 2018Article
- Classifying tumors by supervised network propagation.Bioinformatics (Oxford, England) · 2018Article
- A computational framework for complex disease stratification from multiple large-scale datasets.BMC systems biology · 2018Article
- Salidroside induces apoptosis in human ovarian cancer SKOV3 and A2780 cells through the p53 signaling pathway.Oncology letters · 2018Article
- Dynamic sporulation gene co-expression networks for Bacillus subtilis 168 and the food-borne isolate Bacillus amyloliquefaciens: a transcriptomic model.Microbial genomics · 2018Article
- Optimizing miRNA-module diagnostic biomarkers of gastric carcinoma via integrated network analysis.PloS one · 2018Article
- Identifying pathway modules of tuberculosis in children by analyzing multiple different networks.Experimental and therapeutic medicine · 2018Article
- Identification of oral cancer related candidate genes by integrating protein-protein interactions, gene ontology, pathway analysis and immunohistochemistry.Scientific reports · 2017Article
- A powerful weighted statistic for detecting group differences of directed biological networks.Scientific reports · 2016Article
Corrections and comments
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Authors and funding
14 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ovarian cancer remains a dismal disease with diagnosing in the late, metastatic stages, therefore, there is a growing realization of the critical need to develop effective biomarkers for understanding underlying mechanisms. Although existing evidences demonstrate the important role of the single genetic abnormality in pathogenesis, the perturbations of interactors in the complex network are often ignored. Moreover, ovarian cancer diagnosis and treatment still exist a large gap that need to be bridged. In this work, we adopted a network-based survival-associated approach to capture a 12-gene network module based on differential co-expression PPI network in the advanced-stage, high-grade ovarian serous cystadenocarcinoma. Then, regulatory genes (protein-coding genes and non-coding genes) direct interacting with the module were found to be significantly overlapped with cell death genes. More importantly, these overlapping genes tightly clustered together pointing to the module, deciphering the crosstalk between network-based survival-associated module and cell death in ovarian cancer.
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