ArticleOncotarget2017
Gene co-expression network reveals shared modules predictive of stage and grade in serous ovarian cancers.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- A Tutorial on Bayesian Multi-Study Factor Analysis With Applications in Nutrition and Genomics.Statistics in medicine · 2026Article
- Population Structure and Selection Signatures in Chinese Indigenous Zhaotong Pigs Revealed by Whole-Genome Resequencing.Animals : an open access journal from MDPI · 2024Article
- Pan-cancer identified ARPC1B as a promising target for tumor immunotherapy and prognostic biomarker, particularly in READ.Heliyon · 2024Article
- Proliferation-Related Features of the Human Mesenchymal Stem Cells Derived from Palatine Tonsils, Adipose Tissues, and Bone Marrow.Tissue engineering and regenerative medicine · 2023Article
- Structure of co-expression networks ofFrontiers in molecular biosciences · 2023Article
- Radix ranunculus temate saponins sensitizes ovarian cancer to Taxol via upregulation of miR-let-7b.Experimental and therapeutic medicine · 2022Article
- CDC20 in and out of mitosis: a prognostic factor and therapeutic target in hematological malignancies.Journal of experimental & clinical cancer research : CR · 2022Review
- Identifying Mitotic Kinesins as Potential Prognostic Biomarkers in Ovarian Cancer Using Bioinformatic Analyses.Diagnostics (Basel, Switzerland) · 2022Article
- Looking for the Genes Related to Lung Cancer From Nasal Epithelial Cells by Network and Pathway Analysis.Frontiers in genetics · 2022Article
- Long Noncoding RNA: Shining Stars in the Immune Microenvironment of Gastric Cancer.Frontiers in oncology · 2022Review
- Human iPSC-derived fallopian tube organoids with BRCA1 mutation recapitulate early-stage carcinogenesis.Cell reports · 2021Article
- Changes in gene-gene interactions associated with cancer onset and progression are largely independent of changes in gene expression.iScience · 2021Article
- Four Prognosis-Associated lncRNAs Serve as Biomarkers in Ovarian Cancer.Frontiers in genetics · 2021Article
- Cyclin H Regulates Lung Cancer Progression as a Carcinoma Inducer.Computational and mathematical methods in medicine · 2021Article
- Gene Co-Expression Network Analysis Identifies Vitamin D-Associated Gene Modules in Adult Normal Rectal Epithelium Following Supplementation.Frontiers in genetics · 2021Article
- Extracellular Vesicle Molecular Signatures Characterize Metastatic Dynamicity in Ovarian Cancer.Frontiers in oncology · 2021Article
- Identification of the Hub Genes Associated with the Prognosis of Ovarian Cancer Patients via Integrated Bioinformatics Analysis and Experimental Validation.Cancer management and research · 2021Article
- Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.Journal of ovarian research · 2020Article
- Construction and Validation of a Novel Glycometabolism-Related Gene Signature Predicting Survival in Patients With Ovarian Cancer.Frontiers in genetics · 2020Article
- AEBP1 is a Novel Oncogene: Mechanisms of Action and Signaling Pathways.Journal of oncology · 2020Review
Corrections and comments
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Authors and funding
14 authors.
Funding
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Abstract
Serous ovarian cancer (SOC) is the most lethal gynecological cancer. Clinical studies have revealed an association between tumor stage and grade and clinical prognosis. Identification of meaningful clusters of co-expressed genes or representative biomarkers related to stage or grade may help to reveal mechanisms of tumorigenesis and cancer development, and aid in predicting SOC patient prognosis. We therefore performed a weighted gene co-expression network analysis (WGCNA) and calculated module-trait correlations based on three public microarray datasets (GSE26193, GSE9891, and TCGA), which included 788 samples and 10402 genes. We detected four modules related to one or more clinical features significantly shared across all modeling datasets, and identified one stage-associated module and one grade-associated module. Our analysis showed that MMP2, COL3A1, COL1A2, FBN1, COL5A1, COL5A2, and AEBP1 are top hub genes related to stage, while CDK1, BUB1, BUB1B, BIRC5, AURKB, CENPA, and CDC20 are top hub genes related to grade. Gene and pathway enrichment analyses of the regulatory networks involving hub genes suggest that extracellular matrix interactions and mitotic signaling pathways are crucial determinants of tumor stage and grade. The relationships between gene expression modules and tumor stage or grade were validated in five independent datasets. These results could potentially be developed into a more objective scoring system to improve prediction of SOC outcomes.
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