TY - JOUR
T1 - A serum MicroRNA signature predicts tumor relapse and survival in triple-negative breast cancer patients
AU - Sahlberg, Kristine Kleivi
AU - Bottai, Giulia
AU - Naume, Bjørn
AU - Burwinkel, Barbara
AU - Calin, George A.
AU - Børresen-Dale, Anne Lise
AU - Santarpia, Libero
N1 - Publisher Copyright:
© 2014 AACR.
PY - 2015/3/1
Y1 - 2015/3/1
N2 - Purpose: Triple-negative breast cancers (TNBC) are associated with high risk of early tumor recurrence and poor outcome. Common prognostic biomarkers give very restricted predictive information of tumor recurrences in TNBC. Human serum contains stably expressed microRNAs (miRNAs), which have been discovered to predict prognosis in patients with cancer. The purpose of this study was to identify circulating biomarkers able to predict clinical outcome in TNBC. Experimental Design: We performed genome-wide serum miRNA expression and real-time PCR analyses to investigate the ability of miRNAs in predicting tumor relapse in serum samples from 60 primary TNBC. Patients were divided into training and testing cohorts. Results: By Cox regression analysis, we identified a four-miRNA signature (miR-18b, miR-103, miR-107, and miR-652) that predicted tumor relapseandoverall survival. ThismiRNAsignaturewas further validated in an independent cohort of 70 TNBC. A high-risk signature score was developed and significantly associated with tumor recurrence and reduced survival.Multivariate Cox regression models indicated that the risk score based on the four-miRNA signature was an independent prognostic classifier of patients with TNBC. Conclusions: This signature may serve as a minimally invasive predictor of tumor relapse and overall survival for patients with TNBC. This prediction model may ultimately lead to better treatment options for patients with TNBC. Clin Cancer Res; 21(5); 1207-14.
AB - Purpose: Triple-negative breast cancers (TNBC) are associated with high risk of early tumor recurrence and poor outcome. Common prognostic biomarkers give very restricted predictive information of tumor recurrences in TNBC. Human serum contains stably expressed microRNAs (miRNAs), which have been discovered to predict prognosis in patients with cancer. The purpose of this study was to identify circulating biomarkers able to predict clinical outcome in TNBC. Experimental Design: We performed genome-wide serum miRNA expression and real-time PCR analyses to investigate the ability of miRNAs in predicting tumor relapse in serum samples from 60 primary TNBC. Patients were divided into training and testing cohorts. Results: By Cox regression analysis, we identified a four-miRNA signature (miR-18b, miR-103, miR-107, and miR-652) that predicted tumor relapseandoverall survival. ThismiRNAsignaturewas further validated in an independent cohort of 70 TNBC. A high-risk signature score was developed and significantly associated with tumor recurrence and reduced survival.Multivariate Cox regression models indicated that the risk score based on the four-miRNA signature was an independent prognostic classifier of patients with TNBC. Conclusions: This signature may serve as a minimally invasive predictor of tumor relapse and overall survival for patients with TNBC. This prediction model may ultimately lead to better treatment options for patients with TNBC. Clin Cancer Res; 21(5); 1207-14.
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U2 - 10.1158/1078-0432.CCR-14-2011
DO - 10.1158/1078-0432.CCR-14-2011
M3 - Article
C2 - 25547678
AN - SCOPUS:84928775471
SN - 1078-0432
VL - 21
SP - 1207
EP - 1214
JO - Clinical Cancer Research
JF - Clinical Cancer Research
IS - 5
ER -