RT Journal Article
SR Electronic
T1 OncoScore: a novel, Internet-based tool to assess the oncogenic potential of genes
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 115329
DO 10.1101/115329
A1 Piazza Rocco
A1 Ramazzotti Daniele
A1 Spinelli Roberta
A1 Pirola Alessandra
A1 De Sano Luca
A1 Ferrari Pierangelo
A1 Magistroni Vera
A1 Cordani Nicoletta
A1 Sharma Nitesh
A1 Gambacorti-Passerini Carlo
YR 2017
UL http://biorxiv.org/content/early/2017/03/09/115329.abstract
AB The complicated, evolving landscape of cancer mutations poses a formidable challenge to identify cancer genes among the large lists of mutations typically generated in NGS experiments. The ability to prioritize these variants is therefore of paramount importance. To address this issue we developed OncoScore, a text-mining tool that ranks genes according to their association with cancer, based on available biomedical literature. Receiver operating characteristic curve and the area under the curve (AUC) metrics on manually curated datasets confirmed the excellent discriminating capability of OncoScore (OncoScore cut-off threshold = 21.09; AUC = 90.3%, 95% CI: 88.1-92.5%), indicating that OncoScore provides useful results in cases where an efficient prioritization of cancer-associated genes is needed.