Purpose: Epithelial ovarian cancer (EOC) is one of the most lethal gynecologic diseases, with survival rate virtually unchanged for the past 30 years. EOC comprises different histotypes with molecular and clinical heterogeneity, but up till now the present gold standard platinum-based treatment has been conducted without any patient stratification. The aim of the present study is to generate microRNA (miRNA) profiles characteristic of each stage I EOC histotype, to identify subtype-specific biomarkers to improve our understanding underlying the tumor mechanisms. Experimental Design: A collection of 257 snap-frozen stage I EOC tumor biopsies was gathered together from three tumor tissue collections and stratified into independent training (n = 183) and validation sets (n = 74). Microarray and quantitative real-time PCR (qRT-PCR) were used to generate and validate the histotype-specific markers. A novel dedicated resampling inferential strategy was developed and applied to identify the h...
Calura, E., Fruscio, R., Paracchini, L., Bignotti, E., Ravaggi, A., Martini, P., et al. (2013). MiRNA landscape in stage I epithelial ovarian cancer defines the histotype specificities. CLINICAL CANCER RESEARCH, 19(15), 4114-4123 [10.1158/1078-0432.CCR-13-0360].
MiRNA landscape in stage I epithelial ovarian cancer defines the histotype specificities
FRUSCIO, ROBERT;CEPPI, LORENZO;CATTORETTI, GIORGIO;MILANI, RODOLFO;MANGIONI, COSTANTINO;
2013
Abstract
Purpose: Epithelial ovarian cancer (EOC) is one of the most lethal gynecologic diseases, with survival rate virtually unchanged for the past 30 years. EOC comprises different histotypes with molecular and clinical heterogeneity, but up till now the present gold standard platinum-based treatment has been conducted without any patient stratification. The aim of the present study is to generate microRNA (miRNA) profiles characteristic of each stage I EOC histotype, to identify subtype-specific biomarkers to improve our understanding underlying the tumor mechanisms. Experimental Design: A collection of 257 snap-frozen stage I EOC tumor biopsies was gathered together from three tumor tissue collections and stratified into independent training (n = 183) and validation sets (n = 74). Microarray and quantitative real-time PCR (qRT-PCR) were used to generate and validate the histotype-specific markers. A novel dedicated resampling inferential strategy was developed and applied to identify the h...I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


