Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/59299
Title: Characterization of Lncrnas Contributing To Drug Resistance in Epithelial Ovarian Cancer
Authors: Siahestalkhi, E.K.
Demiray, A.
Yaren, A.
Demiray, A.G.
Tan, S.
Akça, H.
Keywords: Biomarker
Carboplatin
Drug Resistance
Epithelial Ovarian Cancer
Long Noncoding Rna
Paclitaxel
Publisher: Springer
Abstract: Epithelial ovarian cancer (EOC) is the second leading cause of death among women with gynecological cancers, particularly in high-income countries. Despite significant advancements in molecular oncology and an initially positive response to primary chemotherapy, the development of drug resistance remains a major challenge in the effective management of EOC. Consequently, there is an urgent need for innovative biological markers that can enable early diagnosis and provide more accurate predictions of recurrence risk in ovarian cancer patients. This study investigated the expression profiles of seven specific long noncoding RNAs (lncRNAs)—SNHG7, TUG1, XIST1, PRLB, TLR8-AS1, ZFAS1, and PVT1—associated with epithelial ovarian cancer and their relationship with drug resistance. To achieve this, drug-resistant subtypes of aggressive EOC cell lines, including carboplatin/paclitaxel-resistant OVCAR3 and SKOV3 lines, were developed. The expression profiles of the selected lncRNAs were quantitatively analyzed using RT-qPCR across various ovarian cancer cell lines and in serum samples from 25 patients before chemotherapy, six months after treatment, and 23 healthy controls. The findings revealed that the target lncRNAs were significantly upregulated under drug-resistant conditions and in post-chemotherapy serum samples, suggesting their involvement in a complex regulatory network. These results highlight the critical roles of lncRNAs in the progression and treatment response of EOC, positioning them as potential therapeutic targets and biomarkers for early diagnosis and treatment stratification. Identifying reliable lncRNA biomarkers could enable the early detection of patients at risk for developing drug resistance, thereby facilitating personalized treatment strategies to improve patient outcomes and survival rates. © The Author(s) 2025.
URI: https://doi.org/10.1007/s12032-025-02628-1
https://hdl.handle.net/11499/59299
ISSN: 1357-0560
Appears in Collections:PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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