Noncoding RNA (ncRNA) Profile Association with Patient Outcome in Epithelial Ovarian Cancer Cases

• DOI: 10.1007/s43032-020-00372-7
• Publication Date: 2020-10-30T14:02:45Z
• Authors: Douglas V. N. P. ...; Kira P. Prahm; Ib J. Christensen; Anker Hansen; Claus K. Høgdall; Estrid V. Høgdall
• Keywords: Tissue microarray

Abstract Ovarian cancer (OC) is the second most frequent type of gynecological cancers worldwide. In past decades, development novel diagnostic and prognostic biomarkers available for OC has been limited, reflecting by lack specificity such markers or very costly management. Microarray expression profiling shown effective results in exploring new molecular patients with OC. Nonetheless, screenings are focused on mutations molecules that translated into proteins, corresponding to only 2% total human genome. order account vast majority transcripts, present exploratory study, we assessed levels a comprehensive panel noncoding RNA different subtypes We further evaluated their association patient overall survival (OS) aggressive forms disease, as tumor type, stage, chemotherapy resistance. By microarray 197 epithelial (162 serous carcinomas, 15 endometrioid 11 mucinous 9 clear cell carcinomas), found two candidates, SNORA68 SNORD74, which associated OS poor clinicopathological features. The overexpression those targets combined was correlated shorter progression-free survival. That observed correlate more form disease. Overall, indicate comprised SNORD74 may be clinically relevant, where could offered individualized, targeted follow-up, given its validation future prospective clinical studies.