Copy number alterations in stage I epithelial ovarian cancer highlight three genomic patterns associated with prognosis

• DOI: 10.1016/j.ejca.2022.05.005
• Publication Date: 2022-06-14T21:49:17Z
• Authors: Chiara Pesenti; Luca Beltrame; Angelo Velle; Robert Fruscio; Marta Jaconi; Fulvio Borella; Fulvia Milena Cribiù; Enrica Calura; Lara Veronica Ven...; Deborah Lenoci; Federico Agostinis; Dionyssios Katsaros; Nicolò Panini; Tommaso Bianchi; Fabio Landoni; Monica Miozzo; Maurizio D'Incalci; James D. Brenton; Chiara Romualdi; Sergio Marchini
• Keywords: Microsatellite Instability

BackgroundStage I epithelial ovarian cancer (EOC) encompasses five histologically different subtypes of tumors confined to the ovaries with a generally favorable prognosis. Despite intrinsic heterogeneity, all stage EOCs are treated complete resection and adjuvant therapy in most cases. Owing lack robust prognostic markers, this often leads overtreatment. Therefore, better molecular characterization could improve assessment risk relapse refinement optimal treatment options.Materials methods205 tumor biopsies median follow-up eight years were gathered from two independent Italian tissue collections, genome distribution somatic copy number alterations (SCNAs) was investigated by shallow whole sequencing (sWGS) approach.ResultsDespite variability SCNAs both across within histotypes, we able define three common genomic instability patterns, namely stable, unstable, highly unstable. These patterns based on percentage affected their length. The pattern strongly predictive patients' prognosis also multivariate models including currently used clinico-pathological variables.ConclusionsThe results obtained study support idea that novel case can anticipate behavior EOC regardless subtype provide valuable information. Thus, it might be propitious extend these rational management disease.