Co-expressed functional module-related genes in ovarian cancer stem cells represent novel prognostic biomarkers in ovarian cancer

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dc.authoridGOV, ESRA/0000-0002-5256-4778
dc.contributor.authorGov, Esra
dc.date.accessioned2025-01-06T17:44:38Z
dc.date.available2025-01-06T17:44:38Z
dc.date.issued2020
dc.description.abstractOvarian cancer is the leading cause of death from gynecologic malignancies. Cancer stem cells (CSC) seem to play a crucial role in tumor metastasis, recurrence, and chemoresistance. Therefore, CSCs offer significant potential for developing therapeutic targets and to understand tumor recurrence and chemoresistance mechanisms. In the present study, our aim was the identification of the gene group in ovarian CSCs (O-CSCs) and the potential of the resultant gene group in ovarian cancer prognosis. Two different microarray data sets were analyzed by comparing gene expression levels between O-CSCs and cancer samples. The O-CSC co-expression network was reconstructed and its modules were identified. According to the analysis results, 74 mutual DEGs were identified. The O-CSC-specific co-expression network included 32 nodes and 95 edges (network density: 19%), while the co-expression network in cancer samples was reconstructed with 74 nodes and 1066 edges (network density: 39%). Understanding of the molecular mechanism and signatures of O-CSCs should provide valuable insight into chemotherapy resistance and recurrence of ovarian tumors. A highly connected 12 gene module in O-CSC samples of BAMB1, NFKB12, EZR, TNFAIP3, C1orf86, PMAIP1, GEM, KHDRBS3, FILIP1, FGFR2, TGFBR3 and PEG10, (network density: 67%) was identified. Prognostic performance of these genes was evaluated independently using six ovarian cancer datasets (n = 1933 patient samples) via survival analysis. These co-expressed genes were determined as prognostic targets in ovarian cancer. Through literature search validation, five genes (C1orf86, PMAIP1, FILIP1, NFKB12 and PEG10) suggested as novel molecular targets in ovarian cancer. The presented prognostic biomarkers here provide a resource for the understanding of tumor recurrence and chemoresistance and may facilitate critical research directions and development of new prognostic and therapeutic strategies for ovarian cancer.
dc.identifier.doi10.1080/19396368.2020.1759730
dc.identifier.endpage266
dc.identifier.issn1939-6368
dc.identifier.issn1939-6376
dc.identifier.issue4
dc.identifier.pmid32441533
dc.identifier.scopus2-s2.0-85085620465
dc.identifier.scopusqualityQ2
dc.identifier.startpage255
dc.identifier.urihttps://doi.org/10.1080/19396368.2020.1759730
dc.identifier.urihttps://hdl.handle.net/20.500.14669/3132
dc.identifier.volume66
dc.identifier.wosWOS:000538578400001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherTaylor & Francis Inc
dc.relation.ispartofSystems Biology in Reproductive Medicine
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectTranscriptome
dc.subjectco-expression
dc.subjectcancer stem cells
dc.subjectprognostic biomarkers
dc.subjectsystems medicine
dc.titleCo-expressed functional module-related genes in ovarian cancer stem cells represent novel prognostic biomarkers in ovarian cancer
dc.typeArticle

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