Evidence map›Paper›PMID 21849665›Full record

ArticleScience translational medicine2011

Discovery and preclinical validation of drug indications using compendia of public gene expression data.

Marina Sirota, Joel T Dudley, Jeewon Kim, Annie P Chiang, Alex A Morgan, Alejandro Sweet-Cordero, Julien Sage, Atul J Butte

Erratum issuedAbstract read
In one paragraph

Article in Science translational medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 433 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
433citing papers in PubMed, 2 pooled it
62.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

433 citing papers in PubMed, 2 syntheses or guidelines pooled it, 827 citations in OpenAlex.

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  15. Mutation-informed gene pairs to predict melanoma metastasis.Cell communication and signaling : CCS · 2026
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373 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Marina SirotaDivision of Systems Medicine, Department of Pediatrics, Stanford University School of Medicine, 251 Campus Drive, Stanford, CA 94305-5415, USA.
Joel T Dudley
Jeewon Kim
Annie P Chiang
Alex A Morgan
Alejandro Sweet-Cordero
Julien Sage
Atul J Butte
Lucile Packard Children's Hospital · USStanford University · US

Funding

POSTDOCTORAL TRAINING IN MEDICAL INFORMATION SCIENCEST15LM007033 · NLM · STANFORD UNIVERSITY · PI SYLVIA KATINA PLEVRITIS · 1985 to 2026
$25.5M
Research Training in Childhood CancerT32CA128583 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Eric Alejandro Sweet-Cordero · 2007 to 2026
$6.0M
Repositioning drugs for the treatment of small cell lung cancerR01GM079719 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BUTTE, ATUL J · 2006 to 2015
$4.4M
Comparative functional genomics for lung cancer gene discoveryR01CA138256 · NCI · STANFORD UNIVERSITY · PI BUTTE, ATUL J, SAGE, JULIEN · 2008 to 2012
$2.8M
Howard Hughes Medical InstituteNCI NIH HHS R01 CA138256NCI NIH HHS T32 CA128583NIGMS NIH HHS R01 GM079719NLM NIH HHS T15 LM007033
6 · The paper itself

Abstract

The application of established drug compounds to new therapeutic indications, known as drug repositioning, offers several advantages over traditional drug development, including reduced development costs and shorter paths to approval. Recent approaches to drug repositioning use high-throughput experimental approaches to assess a compound's potential therapeutic qualities. Here, we present a systematic computational approach to predict novel therapeutic indications on the basis of comprehensive testing of molecular signatures in drug-disease pairs. We integrated gene expression measurements from 100 diseases and gene expression measurements on 164 drug compounds, yielding predicted therapeutic potentials for these drugs. We recovered many known drug and disease relationships using computationally derived therapeutic potentials and also predict many new indications for these 164 drugs. We experimentally validated a prediction for the antiulcer drug cimetidine as a candidate therapeutic in the treatment of lung adenocarcinoma, and demonstrate its efficacy both in vitro and in vivo using mouse xenograft models. This computational method provides a systematic approach for repositioning established drugs to treat a wide range of human diseases.

Indexed as

Drug RepositioningAnimalsComputational BiologyDrug DesignDrug DiscoveryGene ExpressionHumans

Identifiers

PMID21849665
PMCPMC3502016
OpenAlexW2137632714

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.