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Data from lncRNAs as Novel Indicators of Patients' Prognosis in Stage I Epithelial Ovarian Cancer: A Retrospective and Multicentric Study

Authors :
Chiara Romualdi
Sergio Marchini
Maurizio D'Incalci
Chiara Ghimenti
Costantino Mangioni
Lorenzo Ceppi
Laura Mannarino
Stefano Cagnin
Giovanna Chiorino
Ilaria Craparotta
Dionyssios Katsaros
Patrizia Perego
Enrico Sartori
Franco E. Odicino
Eliana Bignotti
Antonella Ravaggi
Gabriele Sales
Enrica Calura
Luca Beltrame
Robert Fruscio
Maurizia Mello-Grand
Giulia Caratti
Lara Paracchini
Paolo Martini
Publication Year :
2023
Publisher :
American Association for Cancer Research (AACR), 2023.

Abstract

Purpose: Stage I epithelial ovarian cancer (EOC) represents about 10% of all EOCs and is characterized by good prognosis with fewer than 20% of patients relapsing. As it occurs less frequently than advanced-stage EOC, its molecular features have not been thoroughly investigated. We have demonstrated that in stage I EOC miR-200c-3p can predict patients' outcome. In the present study, we analyzed the expression of long non-coding RNAs (lncRNA) to enable potential definition of a non-coding transcriptional signature with prognostic relevance for stage I EOC.Experimental Design: 202 snap-frozen stage I EOC tumor biopsies, 47 of which relapsed, were gathered together from three independent tumor tissue collections and subdivided into a training set (n = 73) and a validation set (n = 129). Median follow up was 9 years. LncRNAs' expression profiles were correlated in univariate and multivariate analysis with overall survival (OS) and progression-free survival (PFS).Results: The expression of lnc-SERTAD2-3, lnc-SOX4-1, lnc-HRCT1-1, and PVT1 was associated in univariate and multivariate analyses with relapse and poor outcome in both training and validation sets (P < 0.001). Using the expression profiles of PVT1, lnc-SERTAD2-3, and miR-200c-3p simultaneously, it was possible to stratify patients into high and low risk. The OS for high- and low-risk individuals are 36 and 123 months, respectively (OR, 15.55; 95% confidence interval, 3.81–63.36).Conclusions: We have identified a non-coding transcriptional signature predictor of survival and biomarker of relapse for stage I EOC. Clin Cancer Res; 23(9); 2356–66. ©2016 AACR.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....35a0cd5da6ee861322569a50d2abd97e