PT  - JOURNAL ARTICLE
AU  - Sallari, Richard C.
AU  - Sinnott-Armstrong, Nicholas A.
AU  - French, Juliet D.
AU  - Kron, Ken J.
AU  - Ho, Jason
AU  - Moore, Jason H.
AU  - Stambolic, Vuk
AU  - Edwards, Stacey L.
AU  - Lupien, Mathieu
AU  - Kellis, Manolis
TI  - Convergence of dispersed regulatory mutations predicts driver genes in prostate cancer
AID  - 10.1101/097451
DP  - 2017 Jan 01
TA  - bioRxiv
PG  - 097451
4099  - http://biorxiv.org/content/early/2017/08/26/097451.short
4100  - http://biorxiv.org/content/early/2017/08/26/097451.full
AB  - Cancer sequencing predicts driver genes using recurrent protein-altering mutations, but detecting recurrence for non-coding mutations remains unsolved. Here, we present a convergence framework for recurrence analysis of non-coding mutations using three-dimensional co-localization of epigenomically-identified regions. We define the regulatory plexus of each gene as its cell-type-specific three-dimensional gene-regulatory neighborhood, inferred using Hi-C chromosomal interactions and chromatin state annotations. Using 16 matched tumor-normal prostate transcriptomes, we predict tumor-upregulated genes, and find enriched plexus mutations in distal regulatory regions normally repressed in prostate, suggesting out-of-context de-repression. Using 55 matched tumor-normal prostate genomes, we predict 15 driver genes by convergence of dispersed, low-frequency mutations into high-frequency dysregulation events along prostate-specific plexi, while controlling for mutational heterogeneity across regions, chromatin states, and patients. These putative drivers play roles in growth signaling, immune evasion, mitochondrial function, and vascularization, suggesting higher-order pathway-level convergence. We experimentally validate the PLCB4 plexus and its ability to affect the canonical PI3K cancer pathway.