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arXiv · 1703.05692

OncoScore: a novel, Internet-based tool to assess the oncogenic potential of genes

Rocco Piazza·Daniele Ramazzotti·Roberta Spinelli·Alessandra Pirola·Luca De Sano·Pierangelo Ferrari·Vera Magistroni·Nicoletta Cordani·Nitesh Sharma·Carlo Gambacorti-Passerini
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Abstract

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.

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Rocco Piazza, Daniele Ramazzotti, Roberta Spinelli, Alessandra Pirola, Luca De Sano, Pierangelo Ferrari, Vera Magistroni, Nicoletta Cordani, Nitesh Sharma, Carlo Gambacorti-Passerini. 2017-04-07. OncoScore: a novel, Internet-based tool to assess the oncogenic potential of genes. https://doi.org/10.1038/srep46290

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