Evidence map›Paper›PMID 29610481›Full record

ArticleNature genetics2018

A global transcriptional network connecting noncoding mutations to changes in tumor gene expression.

Wei Zhang, Ana Bojorquez-Gomez, Daniel Ortiz Velez, Guorong Xu, Kyle S Sanchez, John Paul Shen, Kevin Chen, Katherine Licon, Collin Melton, Katrina M Olson and 8 more

Open access · greenAbstract read
In one paragraph

Article in Nature genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed
8.2field-weighted citation impact, top 2% 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

77 citing papers in PubMed, 136 citations in OpenAlex.

  1. Article
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  14. HYENA detects oncogenes activated by distal enhancers in cancer.bioRxiv : the preprint server for biology · 2024
    Article
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17 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 2 institutions in 1 country.

Wei Zhang *Department of Medicine, University of California, San Diego, La Jolla, CA, USA. wez124@ucsd.edu.ORCID http://orcid.org/0000-0002-0942-1245
Ana Bojorquez-Gomez *Department of Medicine, University of California, San Diego, La Jolla, CA, USA.
Daniel Ortiz VelezDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Guorong XuCenter for Computational Biology and Bioinformatics, University of California, San Diego, La Jolla, CA, USA.
Kyle S SanchezDepartment of Medicine, University of California, San Diego, La Jolla, CA, USA.
John Paul ShenDepartment of Medicine, University of California, San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0003-4588-2775
Kevin ChenDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Katherine LiconDepartment of Medicine, University of California, San Diego, La Jolla, CA, USA.
Collin MeltonDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Katrina M OlsonDepartment of Medicine, University of California, San Diego, La Jolla, CA, USA.
Michael Ku YuDepartment of Medicine, University of California, San Diego, La Jolla, CA, USA.
Justin K HuangDepartment of Medicine, University of California, San Diego, La Jolla, CA, USA.
Hannah CarterDepartment of Medicine, University of California, San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-1729-2463
Emma K FarleyDepartment of Medicine, University of California, San Diego, La Jolla, CA, USA.
Michael SnyderDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Stephanie I FraleyDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Jason F KreisbergDepartment of Medicine, University of California, San Diego, La Jolla, CA, USA. jkreisberg@ucsd.edu.
Trey IdekerDepartment of Medicine, University of California, San Diego, La Jolla, CA, USA. tideker@ucsd.edu.ORCID http://orcid.org/0000-0002-1708-8454
University of California San Diego · USStanford University · US

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
SYNTHETIC SYSTEMSP50GM085764 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JEPSEN, KRISTEN LYNN · 2010 to 2018
$23.3M
TR&D 3 - Network Guided Machine LearningP41GM103504 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PICO, ALEXANDER R · 2012 to 2024
$17.3M
Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2014 to 2018
$15.2M
Using Networks to Seed Hierarchical Whole-cell Models of CancerU54CA209891 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KROGAN, NEVAN J · 2017 to 2021
$10.9M
NDEx - the Network Data Exchange A Network Commons for BiologistsU24CA184427 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PRATT, DEXTER · 2014 to 2021
$5.7M
Cytoscape: A Modeling Platform for Biomolecular NetworksR01HG009979 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2017 to 2021
$3.5M
Deciphering the regulatory principles governing enhancer specificityDP2HG010013 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FARLEY, EMMA KIRSTEN · 2017 to 2021
$2.5M
Network approaches to identify cancer drivers from high-dimensional tumor dataDP5OD017937 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CARTER, HANNAH KATHRYN · 2013 to 2017
$1.9M
NCATS NIH HHS UL1 TR001442NCI NIH HHS U24 CA184427NCI NIH HHS U54 CA209891NHGRI NIH HHS DP2 HG010013NHGRI NIH HHS P50 HG007735NHGRI NIH HHS R01 HG009979NIGMS NIH HHS P41 GM103504NIGMS NIH HHS P50 GM085764NIH HHS DP5 OD017937
6 · The paper itself

Abstract

Although cancer genomes are replete with noncoding mutations, the effects of these mutations remain poorly characterized. Here we perform an integrative analysis of 930 tumor whole genomes and matched transcriptomes, identifying a network of 193 noncoding loci in which mutations disrupt target gene expression. These 'somatic eQTLs' (expression quantitative trait loci) are frequently mutated in specific cancer tissues, and the majority can be validated in an independent cohort of 3,382 tumors. Among these, we find that the effects of noncoding mutations on DAAM1, MTG2 and HYI transcription are recapitulated in multiple cancer cell lines and that increasing DAAM1 expression leads to invasive cell migration. Collectively, the noncoding loci converge on a set of core pathways, permitting a classification of tumors into pathway-based subtypes. The somatic eQTL network is disrupted in 88% of tumors, suggesting widespread impact of noncoding mutations in cancer.

Indexed as

Genes, NeoplasmMutationAdaptor Proteins, Signal TransducingAldose-Ketose IsomerasesCell Line, TumorGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMicrofilament ProteinsMonomeric GTP-Binding ProteinsNeoplasm InvasivenessNeoplasmsQuantitative Trait Locirho GTP-Binding ProteinsRNA, MessengerRNA, NeoplasmAdaptor Proteins, Signal TransducingAldose-Ketose IsomerasesDAAM1 protein, humanMicrofilament ProteinsMonomeric GTP-Binding ProteinsMTG2 protein, humanrho GTP-Binding ProteinsRNA, MessengerRNA, NeoplasmRNA, Untranslated

Identifiers

PMID29610481
PMCPMC5893414
OpenAlexW2795008267

What Socratic 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 Socratic graph.