IRIS – Institutional Research Information System
IRIS è il sistema di gestione della ricerca dell’Università degli Studi di Milano-Bicocca.Il repository BOA è il modulo del sistema dedicato alla raccolta e alla disseminazione della produzione scientifica di Ateneo. Le pubblicazioni sono ricercabili per parola chiave attraverso il box nella barra orizzontale in alto oppure, mediante il pulsante Sfoglia, per "Afferenza", "Autore", "Titolo", "Tipologia" o "Settore scientifico-disciplinare".
IRIS contiene inoltre alcuni moduli dedicati alla registrazione dei progetti e dei contratti, e alla reportistica avanzata per le attività di valutazione della ricerca
EnglishPurpose: 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.
Martini, P., Paracchini, L., Caratti, G., M, M., Fruscio, R., Beltrame, L., et al. (2017). LncRNAs as novel indicators of patients' prognosis in stage i epithelial ovarian cancer: A retrospective and multicentric study. CLINICAL CANCER RESEARCH, 23(9), 2356-2366.
| Citazione: | Martini, P., Paracchini, L., Caratti, G., M, M., Fruscio, R., Beltrame, L., et al. (2017). LncRNAs as novel indicators of patients' prognosis in stage i epithelial ovarian cancer: A retrospective and multicentric study. CLINICAL CANCER RESEARCH, 23(9), 2356-2366. |
| Tipo: | Articolo in rivista - Articolo scientifico |
| Carattere della pubblicazione: | Scientifica |
| Presenza di un coautore afferente ad Istituzioni straniere: | No |
| Titolo: | LncRNAs as novel indicators of patients' prognosis in stage i epithelial ovarian cancer: A retrospective and multicentric study |
| Autori: | Martini, P; Paracchini, L; Caratti, G; M, M; Fruscio, R; Beltrame, L; Calura, E; Sales, G; Ravaggi, A; Bignotti, E; Odicino, F; Sartori, E; P, P; Katsaros, D; Craparotta, I; Chiorino, G; Cagnin, S; Mannarino, L; Ceppi, L; Mangioni, C; Ghimenti, C; D'Incalci, M; Marchini, S; Romualdi, C |
| Autori: | |
| Data di pubblicazione: | 2017 |
| Lingua: | English |
| Rivista: | CLINICAL CANCER RESEARCH |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1158/1078-0432.CCR-16-1402 |
| Appare nelle tipologie: | 01 - Articolo su rivista |
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