Background: FAM83D (family with sequence similarity 83, member D) is of particular interest in tumorigenesis and tumor progression. Ovarian cancer is the leading cause of cancer-related death in women all over the world. This study aims to research the association between FAM83D and ovarian cancer (OC).
Methods: The gene expression data of OC and normal samples (GSE81873 and GSE27651) was downloaded from Gene Expression Omnibus (GEO) dataset. The bioinformatics analysis was performed to distinguish two differentially expressed genes (DEGs), prognostic candidate genes and functional enrichment pathways. Immunohistochemistry (IHC), Quantitative Real-time PCR (qPCR), and luciferase reporter assays were utilized for further study.
Results: There were 56 DEMs and 63 DEGs in cancer tissues compared to normal tissues. According to the km-plot software, hsa-miR-142-3p and FAM83D were associated with the overall survival of patients with OC. Besides, Multivariate analysis included that hsa-miR-142-3p and FAM83D were independent risk factors for OC patients. Furthermore, qPCR demonstrated that miRNA-142-3p and FAM83D were differentially expressed in normal ovarian tissues (NOTs) and ovarian cancer tissues (OCTs). IHC results indicated that FAM83D was overexpressed in OCTs compared with NOTs. Last but not least, luciferase reporter assays verified that FAM83D was a direct target of hsa-miRNA-142-3p in OC cells.
Conclusions: The prognostic model based on the miRNA-mRNA network could provide predictive significance for the prognosis of OC patients, which would be worthy of clinical application. Our results concluded that miR-142-3p and its targets gene FAM83D may be potential diagnostic and prognostic biomarkers for patients with OC.
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http://dx.doi.org/10.18632/aging.203998 | DOI Listing |
Front Biosci (Landmark Ed)
January 2025
Division of Biochemistry and Molecular Biology, Federal State Budgetary Educational Institution of Higher Education "Siberian State Medical University" of the Ministry of Health of Russia, 634050 Tomsk, Russia.
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Nutrients
January 2025
Department of Medical Chemistry, Faculty of Chemistry, Adam Mickiewicz University, 61-614 Poznań, Poland.
Tea is a significant source of flavonoids in the diet. Due to different production processes, the amount of bioactive compounds in unfermented (green) and (semi-)fermented tea differs. Importantly, green tea has a similar composition of phenolic compounds to fresh, unprocessed tea leaves.
View Article and Find Full Text PDFPharmaceuticals (Basel)
December 2024
College of Pharmacy, University of Illinois, Chicago, IL 60612, USA.
Overexpression of the gonadotropin-releasing hormone receptor (GnRH-R) plays a vital role in the advancement of reproductive malignancies such as ovarian, endometrial, and prostate cancer. Peptidomimetic GnRH antagonists are a substantial therapeutic development, providing fast and reversible suppression of gonadotropins by directly blocking GnRH-R. Unlike typical GnRH agonists, these antagonists prevent the early hormonal flare, have a faster onset of action, and have a lower risk of cardiovascular problems.
View Article and Find Full Text PDFJ Clin Med
January 2025
Gynecologic Oncology Unit, La Paz University Hospital, Paseo Castellana 261, 28046 Madrid, Spain.
Ovarian cancer is the fifth most frequent tumor in women and the second most common gynecological cancer. Recurrence of ovarian cancer develops in up to 50-90% of patients within the first five years after diagnosis. Approximately 70% of patients with advanced disease will experience a relapse.
View Article and Find Full Text PDFLife (Basel)
January 2025
1st Department of Obstetrics & Gynecology, Aristotle University of Thessaloniki, "Papageorgiou" Hospital, 564 29 Thessaloniki, Greece.
(1) Background: Suspicious adnexal masses should be referred to gynecological oncology units. However, when surgery waiting lists are prolonged, these patients usually suffer from a delay in surgery. This could have a negative impact on their prognosis when the final diagnosis is ovarian cancer (OC).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!