Evidence map›Paper›PMID 31308362›Full record

ArticleNature communications2019

Association of imputed prostate cancer transcriptome with disease risk reveals novel mechanisms.

Nima C Emami, Linda Kachuri, Travis J Meyers, Rajdeep Das, Joshua D Hoffman, Thomas J Hoffmann, Donglei Hu, Jun Shan, Felix Y Feng, Elad Ziv and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. 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 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 42 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Nima C EmamiProgram in Biological and Medical Informatics, University of California San Francisco, San Francisco, CA, 94158, USA.
Linda KachuriDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, 94158, USA.
Travis J MeyersDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, 94158, USA.
Rajdeep DasDepartment of Urology, University of California San Francisco, San Francisco, CA, 94158, USA.
Joshua D HoffmanDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, 94158, USA.
Thomas J HoffmannDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, 94158, USA.ORCID http://orcid.org/0000-0001-6893-4449
Donglei HuInstitute for Human Genetics, University of California San Francisco, San Francisco, CA, 94143, USA.ORCID http://orcid.org/0000-0002-0351-001X
Jun ShanDivision of Research, Kaiser Permanente, Northern California, Oakland, CA, 94612, USA.
Felix Y FengDepartment of Urology, University of California San Francisco, San Francisco, CA, 94158, USA.
Elad ZivInstitute for Human Genetics, University of California San Francisco, San Francisco, CA, 94143, USA.
Stephen K Van Den EedenDepartment of Urology, University of California San Francisco, San Francisco, CA, 94158, USA.ORCID http://orcid.org/0000-0002-5599-8387
John S WitteProgram in Biological and Medical Informatics, University of California San Francisco, San Francisco, CA, 94158, USA. Jwitte@ucsf.edu.
University of California, San Francisco · USKaiser Permanente · US

Funding

BMI Bioinformatics Training GrantsT32GM067547 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HERNANDEZ, RYAN D. · 2003 to 2022
$6.6M
Genetic Epidemiology of Prostate Cancer Risk and ProgressionR01CA088164 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VAN DEN EEDEN, STEPHEN K., WITTE, JOHN S. · 2000 to 2015
$6.1M
Translational Epidemiology - Training for Research on Aging and Chronic diseaseT32AG049663 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Elizabeth Rose Mayeda, Mark J Pletcher · 2016 to 2026
$5.8M
Genomewide Association Study of Prostate CancerU01CA127298 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WITTE, JOHN S. · 2008 to 2012
$5.1M
Genome-wide Pleiotropy Scan across Multiple CancersR01CA201358 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRAFF, REBECCA ELIZABETH, SAKODA, LORI · 2016 to 2019
$2.5M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NCI NIH HHS R01 CA088164NCI NIH HHS R01 CA201358NCI NIH HHS U01 CA127298
6 · The paper itself

Abstract

Here we train cis-regulatory models of prostate tissue gene expression and impute expression transcriptome-wide for 233,955 European ancestry men (14,616 prostate cancer (PrCa) cases, 219,339 controls) from two large cohorts. Among 12,014 genes evaluated in the UK Biobank, we identify 38 associated with PrCa, many replicating in the Kaiser Permanente RPGEH. We report the association of elevated TMPRSS2 expression with increased PrCa risk (independent of a previously-reported risk variant) and with increased tumoral expression of the TMPRSS2:ERG fusion-oncogene in The Cancer Genome Atlas, suggesting a novel germline-somatic interaction mechanism. Three novel genes, HOXA4, KLK1, and TIMM23, additionally replicate in the RPGEH cohort. Furthermore, 4 genes, MSMB, NCOA4, PCAT1, and PPP1R14A, are associated with PrCa in a trans-ethnic meta-analysis (N = 9117). Many genes exhibit evidence for allele-specific transcriptional activation by PrCa master-regulators (including androgen receptor) in Position Weight Matrix, Chip-Seq, and Hi-C experimental data, suggesting common regulatory mechanisms for the associated genes.

Indexed as

Cohort StudiesGene Expression ProfilingHumansMaleModels, GeneticProstateProstatic NeoplasmsSerine EndopeptidasesTranscriptomeWhite PeopleSerine EndopeptidasesTMPRSS2 protein, human

Identifiers

PMID31308362
PMCPMC6629701
OpenAlexW2962393819

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.