HIT'ndrive: Patient-Specific Multidriver Gene Prioritization for Precision Oncology
Downloaded from genome.cshlp.org on October 4, 2021 - Published by Cold Spring Harbor Laboratory Press Method HIT’nDRIVE: patient-specific multidriver gene prioritization for precision oncology Raunak Shrestha,1,2,10 Ermin Hodzic,3,10 Thomas Sauerwald,4 Phuong Dao,5 Kendric Wang,2 Jake Yeung,2 Shawn Anderson,2 Fabio Vandin,6 Gholamreza Haffari,7 Colin C. Collins,2,8 and S. Cenk Sahinalp2,3,9 1Bioinformatics Training Program, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z4; 2Laboratory for Advanced Genome Analysis, Vancouver Prostate Centre, Vancouver, British Columbia, Canada V6H 3Z6; 3School of Computing Science, Simon Fraser University, Burnaby, British Columbia, Canada V5A 1S6; 4Computer Laboratory, University of Cambridge, Cambridge CB3 0FD, United Kingdom; 5National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA; 6Department of Information Engineering, University of Padova, 35131 Padova, Italy; 7Faculty of Information Technology, Monash University, Melbourne 3800, Australia; 8Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada V5Z 1M9; 9School of Informatics and Computing, Indiana University, Bloomington, Indiana 47408, USA Prioritizing molecular alterations that act as drivers of cancer remains a crucial bottleneck in therapeutic development. Here we introduce HIT’nDRIVE, a computational method that integrates genomic and transcriptomic data to identify a set of patient-specific, sequence-altered genes, with sufficient collective influence over dysregulated transcripts. HIT’nDRIVE aims to solve the “random walk facility location” (RWFL) problem in a gene (or protein) interaction network, which differs from the standard facility location problem by its use of an alternative distance measure: “multihitting time,” the expected length of the shortest random walk from any one of the set of sequence-altered genes to an expression-altered target gene.
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