ArticleScientific reports2023
Advanced stage, high-grade primary tumor ovarian cancer: a multi-omics dissection and biomarker prediction process.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 15 citations in OpenAlex.
- RAD51AP1-MYC-Sam68 positive transcriptional feedback loop maintains lung cancer stemness.iScience · 2026Article
- Novel Exploratory Transcriptomic Candidates as Biomarkers and Cancer Hallmark Fingerprints for Ovarian Endometroid and Clear Cell Carcinomas in Women.Antioxidants (Basel, Switzerland) · 2026Article
- Galangin-loaded biomimetic dendritic cells membrane nanovaccine reprograms the ovarian cancer microenvironmentMaterials today. Bio · 2026Article
- Updates on the role of miR-193b in the pathogenesis of human cancers and other diseases.Biochemistry and biophysics reports · 2026Review
- Precision Biomarker Identification in Gynecological Cancers Using Coexpression Networks and Attention-Based LSTM in Healthcare 4.0.Diagnostics (Basel, Switzerland) · 2026Article
- Identification of key candidate genes for ovarian cancer using integrated statistical and machine learning approaches.Briefings in bioinformatics · 2025Article
- The role and therapeutic value of NUSAP1 in human cancers.Journal of translational medicine · 2025Review
- Molecular mechanisms of miR-192 in cancer: a biomarker and therapeutic target.Cancer cell international · 2025Review
- ALKBH5 activates CEP55 transcription through m6A demethylation in FOXP2 mRNA and expedites cell cycle entry and EMT in ovarian cancer.Biology direct · 2024Article
- Future theranostic strategies: emerging ovarian cancer biomarkers to bridge the gap between diagnosis and treatment.Frontiers in drug delivery · 2024Review
- Impaired pathways of detoxification and risk of Alzheimer's disease: Differential gene expression studies via gene set expression analysis.Journal of Alzheimer's disease reportsArticle
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ovarian cancer (OC) incidence and mortality rates continue to escalate globally. Early detection of OC is challenging due to extensive metastases and the ambiguity of biomarkers in advanced High-Grade Primary Tumors (HGPTs). In the present study, we conducted an in-depth in silico analysis in OC cell lines using the Gene Expression Omnibus (GEO) microarray dataset with 53 HGPT and 10 normal samples. Differentially-Expressed Genes (DEGs) were also identified by GEO2r. A variety of analyses, including gene set enrichment analysis (GSEA), ChIP enrichment analysis (ChEA), eXpression2Kinases (X2K) and Human Protein Atlas (HPA), elucidated signaling pathways, transcription factors (TFs), kinases, and proteome, respectively. Protein-Protein Interaction (PPI) networks were generated using STRING and Cytoscape, in which co-expression and hub genes were pinpointed by the cytoHubba plug-in. Validity of DEG analysis was achieved via Gene Expression Profiling Interactive Analysis (GEPIA). Of note, KIAA0101, RAD51AP1, FAM83D, CEP55, PRC1, CKS2, CDCA5, NUSAP1, ECT2, and TRIP13 were found as top 10 hub genes; SIN3A, VDR, TCF7L2, NFYA, and FOXM1 were detected as predominant TFs in HGPTs; CEP55, PRC1, CKS2, CDCA5, and NUSAP1 were identified as potential biomarkers from hub gene clustering. Further analysis indicated hsa-miR-215-5p, hsa-miR-193b-3p, and hsa-miR-192-5p as key miRNAs targeting HGPT genes. Collectively, our findings spotlighted HGPT-associated genes, TFs, miRNAs, and pathways as prospective biomarkers, offering new avenues for OC diagnostic and therapeutic approaches.
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