Accurate Drug Repositioning through Non-tissue-Specific Core Signatures from Cancer Transcriptomes.

Abstract:

:Experimental large-scale screens for drug repositioning are limited by restriction to in vitro conditions and lack of applicability to real human conditions. Here, we developed an in silico screen in human in vivo conditions using a reference of single gene mutations' non-tissue-specific "core transcriptome signatures" (CSs) of 8,476 genes generated from the TCGA database. We developed the core-signature drug-to-gene (csD2G) software to scan 3,546 drug treatment profiles against the reference signatures. csD2G significantly outperformed conventional cell line-based gene perturbation signatures and existing drug-repositioning methods in both coverage and specificity. We highlight this with 3 demonstrated applications: (1) repositioned category of psychiatric drugs to inhibit the TGF-β pathway; (2) antihypertensive calcium channel blockers predicted to activate AMPK and inhibit AKT pathways, and validated by clinical electronic medical records; and (3) 7 drugs predicted and validated to selectively target the AKT-FOXO and AMPK pathways and thus regulate worm lifespan.

journal_name

Cell Rep

journal_title

Cell reports

authors

Xu C,Ai D,Shi D,Suo S,Chen X,Yan Y,Cao Y,Zhang R,Sun N,Chen W,McDermott J,Zhang S,Zeng Y,Han JJ

doi

10.1016/j.celrep.2018.09.031

subject

Has Abstract

pub_date

2018-10-09 00:00:00

pages

523-535.e5

issue

2

issn

2211-1247

pii

S2211-1247(18)31461-X

journal_volume

25

pub_type

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