In silico prescription of anticancer drugs to cohorts of 28 tumor types reveals novel targeting opportunities

in silico drug prescription

Diagram of in silico drug prescription method


We are pleased to announce the publication of our paper in Cancer Cell describing the landscape of anti-cancer targeted therapeutic opportunities across a cohort of patients of twenty eight of the most prevalent cancers.


Targeted therapies exploit tumor vulnerabilities offered by specific cancer alterations. However, not all  genomic alterations are equally relevant for a given tumor individual. Tumors are more dependent on alterations directly involved in their development and maintenance, namely driver alterations. These represent good options to develop targeted therapies. In this paper we describe an in silico prescription approach to obtain the landscape of targeted drugs against cancer driver alterations, composed of three main steps.

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