Evidence map›Paper›PMID 28750683›Full record

ArticleGenome biology2017

Identification of novel prostate cancer drivers using RegNetDriver: a framework for integration of genetic and epigenetic alterations with tissue-specific regulatory network.

Priyanka Dhingra, Alexander Martinez-Fundichely, Adeline Berger, Franklin W Huang, Andre Neil Forbes, Eric Minwei Liu, Deli Liu, Andrea Sboner, Pablo Tamayo, David S Rickman and 2 more

Abstract read
In one paragraph

Article in Genome biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

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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

12 authors.

Priyanka DhingraDepartment of Physiology and Biophysics, Weill Cornell Medical College, New York, New York, 10065, USA.
Alexander Martinez-FundichelyDepartment of Physiology and Biophysics, Weill Cornell Medical College, New York, New York, 10065, USA.
Adeline BergerDepartment of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, New York, 10065, USA.
Franklin W HuangDepartment of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA.
Andre Neil ForbesDepartment of Physiology and Biophysics, Weill Cornell Medical College, New York, New York, 10065, USA.
Eric Minwei LiuDepartment of Physiology and Biophysics, Weill Cornell Medical College, New York, New York, 10065, USA.
Deli LiuDepartment of Physiology and Biophysics, Weill Cornell Medical College, New York, New York, 10065, USA.
Andrea SbonerInstitute for Computational Biomedicine, Weill Cornell Medical College, New York, New York, 10021, USA.
Pablo TamayoCancer Program, The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA, 02142, USA.
David S RickmanDepartment of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, New York, 10065, USA. dsr2005@med.cornell.edu.
Mark A RubinDepartment of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, New York, 10065, USA.
Ekta KhuranaDepartment of Physiology and Biophysics, Weill Cornell Medical College, New York, New York, 10065, USA. ekk2003@med.cornell.edu.

Funding

Supporting Integrative Genomic Analysis Users with GenePatternR01GM074024 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MESIROV, JILL P. · 2005 to 2019
$6.6M
GenePattern Notebooks for Cancer ResearchU24CA194107 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MESIROV, JILL P. · 2015 to 2019
$2.8M
The joint WCM-NYGC Center for Functional and Clinical Interpretation of Tumor ProfilesU24CA210989 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI ELEMENTO, OLIVIER, ZODY, MICHAEL C · 2016 to 2020
$2.4M
Mechanistic Insights Underlying ERG-induced Taxane Resistance in Castration-ResisR01CA179100 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI GIANNAKAKOU, PARASKEVI, RICKMAN, DAVID S. · 2014 to 2018
$2.1M
Understanding the biology of taxane response in the context of ETS rearranged proR21CA143496 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI RICKMAN, DAVID S. · 2010 to 2011
$400k
NCI NIH HHS R01 CA179100NCI NIH HHS R21 CA143496NCI NIH HHS U24 CA194107NCI NIH HHS U24 CA210989NIGMS NIH HHS R01 GM074024
6 · The paper itself

Abstract

We report a novel computational method, RegNetDriver, to identify tumorigenic drivers using the combined effects of coding and non-coding single nucleotide variants, structural variants, and DNA methylation changes in the DNase I hypersensitivity based regulatory network. Integration of multi-omics data from 521 prostate tumor samples indicated a stronger regulatory impact of structural variants, as they affect more transcription factor hubs in the tissue-specific network. Moreover, crosstalk between transcription factor hub expression modulated by structural variants and methylation levels likely leads to the differential expression of target genes. We report known prostate tumor regulatory drivers and nominate novel transcription factors (ERF, CREB3L1, and POU2F2), which are supported by functional validation.

Indexed as

AlgorithmsGene Expression Regulation, NeoplasticBinding SitesCarcinogenesisChromosome MappingCyclic AMP Response Element-Binding ProteinDeoxyribonuclease IDNA MethylationEpigenesis, GeneticGene Regulatory NetworksHumansMaleNerve Tissue ProteinsOctamer Transcription Factor-2Organ SpecificityPolymorphism, Single NucleotideCREB3L1 protein, humanCyclic AMP Response Element-Binding ProteinDeoxyribonuclease IERF protein, humanNerve Tissue ProteinsOctamer Transcription Factor-2POU2F2 protein, humanRepressor ProteinsCancer driversDNA methylationProstate cancerSingle nucleotide variantsStructural variantsTissue-specific regulatory network

Identifiers

PMID28750683
PMCPMC5530464

What OpenQuestion holds

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LicenceCC BY
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.