In Silico Approach to Molecular Profiling of the Transition from Ovarian Epithelial Cells to Low-Grade Serous Ovarian Tumors for Targeted Therapeutic Insights
dc.authorid | Leblebici, Asım/0000-0002-5197-6631 | |
dc.authorid | Basbinar, Yasemin/0000-0001-9439-2217 | |
dc.authorid | Arayici, Mehmet Emin/0000-0002-0492-5129 | |
dc.authorid | Isik, Zerrin/0000-0003-1779-1681 | |
dc.contributor.author | Leblebici, Asim | |
dc.contributor.author | Sancar, Ceren | |
dc.contributor.author | Tercan, Bahar | |
dc.contributor.author | Isik, Zerrin | |
dc.contributor.author | Arayici, Mehmet Emin | |
dc.contributor.author | Ellidokuz, Ender Berat | |
dc.contributor.author | Basbinar, Yasemin | |
dc.date.accessioned | 2024-08-31T07:49:38Z | |
dc.date.available | 2024-08-31T07:49:38Z | |
dc.date.issued | 2024 | |
dc.department | Ege Üniversitesi | en_US |
dc.description.abstract | This paper aims to elucidate the differentially coexpressed genes, their potential mechanisms, and possible drug targets in low-grade invasive serous ovarian carcinoma (LGSC) in terms of the biologic continuity of normal, borderline, and malignant LGSC. We performed a bioinformatics analysis, integrating datasets generated using the GPL570 platform from different studies from the GEO database to identify changes in this transition, gene expression, drug targets, and their relationships with tumor microenvironmental characteristics. In the transition from ovarian epithelial cells to the serous borderline, the FGFR3 gene in the Estrogen Response Late pathway, the ITGB2 gene in the Cell Adhesion Molecule, the CD74 gene in the Regulation of Cell Migration, and the IGF1 gene in the Xenobiotic Metabolism pathway were upregulated in the transition from borderline to LGSC. The ERBB4 gene in Proteoglycan in Cancer, the AR gene in Pathways in Cancer and Estrogen Response Early pathways, were upregulated in the transition from ovarian epithelial cells to LGSC. In addition, SPP1 and ITGB2 genes were correlated with macrophage infiltration in the LGSC group. This research provides a valuable framework for the development of personalized therapeutic approaches in the context of LGSC, with the aim of improving patient outcomes and quality of life. Furthermore, the main goal of the current study is a preliminary study designed to generate in silico inferences, and it is also important to note that subsequent in vitro and in vivo studies will be necessary to confirm the results before considering these results as fully reliable. | en_US |
dc.description.sponsorship | Council of Higher Education [2021.KB.SAG.060]; TUBITAK (Scientific and Technological Research Council of Turkiye) [2211/A]; Dokuz Eylul University Scientific Research Projects Coordination Unit; NCI grant, Cancer Target Discovery and Development Consortium [2214/A]; [U01 CA282109]; [100/2000 YOK] | en_US |
dc.description.sponsorship | A.L. was supported by the 100/2000 YOK (Council of Higher Education) Ph.D. Scholarship Program and TUBITAK (The Scientific and Technological Research Council of Tuerkiye) 2211/A & 2214/A National Ph.D. Scholarship Program. Dokuz Eylul University Scientific Research Projects Coordination Unit supported this research with project number 2021.KB.SAG.060. B.T. has been supported by NCI grant A Patient-Centric Approach to Advance Functional Precision Oncology (U01 CA282109) grant as part of the Cancer Target Discovery and Development Consortium. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors would like to thank Sila Ovgu Korkut-Uysal for her suggestions and contributions. | en_US |
dc.identifier.doi | 10.3390/cimb46030117 | |
dc.identifier.endpage | 1798 | en_US |
dc.identifier.issn | 1467-3037 | |
dc.identifier.issn | 1467-3045 | |
dc.identifier.issue | 3 | en_US |
dc.identifier.pmid | 38534733 | en_US |
dc.identifier.scopus | 2-s2.0-85188740163 | en_US |
dc.identifier.scopusquality | Q2 | en_US |
dc.identifier.startpage | 1777 | en_US |
dc.identifier.uri | https://doi.org/10.3390/cimb46030117 | |
dc.identifier.uri | https://hdl.handle.net/11454/104921 | |
dc.identifier.volume | 46 | en_US |
dc.identifier.wos | WOS:001191550200001 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | PubMed | en_US |
dc.language.iso | en | en_US |
dc.publisher | Mdpi | en_US |
dc.relation.ispartof | Current Issues In Molecular Biology | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.snmz | 20240831_U | en_US |
dc.subject | Low-Grade Serous Ovarian Cancer | en_US |
dc.subject | Borderline | en_US |
dc.subject | Gene Coexpression Network | en_US |
dc.subject | In Silico Integrative Data Analysis | en_US |
dc.title | In Silico Approach to Molecular Profiling of the Transition from Ovarian Epithelial Cells to Low-Grade Serous Ovarian Tumors for Targeted Therapeutic Insights | en_US |
dc.type | Article | en_US |