ArticleOncology letters2017
Screening of potentially crucial genes and regulatory factors involved in epithelial ovarian cancer using microarray analysis.
Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Meta-analysis based gene expression profiling reveals functional genes in ovarian cancer.Bioscience reports · 2020Pooled it
- Integrating multi-omics and clinical features to model survival in epithelial ovarian cancer subtypes.Scientific reports · 2025Article
- Multi-Level Profiling of MAPK-Associated Genes and MicroRNAs Uncovers Regulatory Networks in Breast Cancer Subtypes.International journal of molecular sciences · 2025Article
- The dual role of PCDH9 in tumors, neurological and developmental diseases.Medical oncology (Northwood, London, England) · 2025Review
- A Nine-Gene Expression Signature Distinguished a Patient with Chronic Lymphocytic Leukemia Who Underwent Prolonged Periodic Fasting.Medicina (Kaunas, Lithuania) · 2023Article
- Endovascular image-guided sampling of tumor-draining veins provides an enriched source of oncological biomarkers.Frontiers in oncology · 2023Article
- Combined multiomics analysis reveals the mechanism of CENPF overexpression-mediated immune dysfunction in diffuse large B-cell lymphomaFrontiers in genetics · 2022Article
- Developmental and hormonal regulation of ubiquitin-like with plant homeodomain and really interesting new gene finger domains 1 gene expression in ovarian granulosa and theca cells of cattle.Journal of animal science · 2020Article
- The Significance of MicroRNAs Expression in Regulation of Extracellular Matrix and Other Drug Resistant Genes in Drug Resistant Ovarian Cancer Cell Lines.International journal of molecular sciences · 2020Article
- Identifying an Eight-Gene Signature to Optimize Overall Survival Prediction of Esophageal Adenocarcinoma Using Bioinformatics Analysis of ceRNA Network.OncoTargets and therapy · 2020Article
- Genome-wide bioinformatics analysis reveals CTCFL is upregulated in high-grade epithelial ovarian cancer.Oncology letters · 2019Article
- Identification of a six-gene signature with prognostic value for patients with endometrial carcinoma.Cancer medicine · 2018Article
- MiR-1256 suppresses proliferation and migration of non-small cell lung cancer via regulating TCTN1.Oncology letters · 2018Article
- Targeting the SET and RING-associated (SRA) domain of ubiquitin-like, PHD and ring finger-containing 1 (UHRF1) for anti-cancer drug development.Oncotarget · 2018Review
- New and Old Genes Associated with Primary and Established Responses to Paclitaxel Treatment in Ovarian Cancer Cell Lines.Molecules (Basel, Switzerland) · 2018Article
- NFκB Promotes Ovarian Tumorigenesis via Classical Pathways That Support Proliferative Cancer Cells and Alternative Pathways That Support ALDHCancer research · 2017Article
- miR-92b-3p acts as a tumor suppressor by targeting Gabra3 in pancreatic cancer.Molecular cancer · 2017Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study aimed to screen potential genes implicated in epithelial ovarian cancer (EOC) and to further understand the molecular pathogenesis of EOC. In order to do this, datasets GSE14407 (containing 12 human ovarian cancer epithelia samples and 12 normal epithelia samples) and GSE29220 (containing 11 salivary transcriptomes from ovarian cancer patients with serous papillary adenocarcinoma and 11 matched controls) were obtained from the Gene Expression Omnibus. Differentially expressed genes (DEGs) within these datasets were screened using the Linear Models for Microarray Data package, and potential gene functions were predicted by functional and pathway enrichment analyses. Additionally, module analysis of protein-protein interaction networks was performed using MCODE software in Cytoscape. The potential microRNAs (miRNAs/miRs) and transcription factors (TFs) regulating DEGs were also analyzed, and the integrated TF-DEG and miRNA-DEG regulatory networks were visualized with Cytoscape. In total, 31 upregulated DEGs and 64 downregulated DEGs were screened. The upregulated DEGs, such as centromere protein F (
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Registered trials
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