Evidence map›Paper›PMID 31078526›Full record

ArticleCell systems2019

Identification of Cancer Drivers at CTCF Insulators in 1,962 Whole Genomes.

Eric Minwei Liu, Alexander Martinez-Fundichely, Bianca Jay Diaz, Boaz Aronson, Tawny Cuykendall, Matthew MacKay, Priyanka Dhingra, Elissa W P Wong, Ping Chi, Effie Apostolou and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Cell systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

50 citing papers in PubMed, 86 citations in OpenAlex.

  1. Article
  2. Crosstalk BetweenCancers · 2026
    Review
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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 at 6 institutions in 2 countries.

Eric Minwei LiuMeyer Cancer Center, Weill Cornell Medicine, New York, NY 10065, USA; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA; Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA.
Alexander Martinez-FundichelyMeyer Cancer Center, Weill Cornell Medicine, New York, NY 10065, USA; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA; Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA.
Bianca Jay DiazNew York Genome Center, New York, NY 10013, USA; Department of Biology, New York University, New York, NY 10003, USA.
Boaz AronsonMeyer Cancer Center, Weill Cornell Medicine, New York, NY 10065, USA; Department of Medicine, Weill Cornell Medicine, New York, NY 10021, USA.
Tawny CuykendallMeyer Cancer Center, Weill Cornell Medicine, New York, NY 10065, USA; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA; Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA.
Matthew MacKayInstitute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA.
Priyanka DhingraMeyer Cancer Center, Weill Cornell Medicine, New York, NY 10065, USA; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA; Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA.
Elissa W P WongHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Ping ChiDepartment of Medicine, Weill Cornell Medicine, New York, NY 10021, USA; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Effie ApostolouMeyer Cancer Center, Weill Cornell Medicine, New York, NY 10065, USA; Department of Medicine, Weill Cornell Medicine, New York, NY 10021, USA.
Neville E SanjanaNew York Genome Center, New York, NY 10013, USA; Department of Biology, New York University, New York, NY 10003, USA.
Ekta KhuranaMeyer Cancer Center, Weill Cornell Medicine, New York, NY 10065, USA; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA; Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA; Caryl and Israel Englander Institute for Precision Medicine, New York Presbyterian Hospital, Weill Cornell Medicine, New York, NY 10065, USA. Electronic address: ekk2003@med.cornell.edu.
Weill Cornell Medicine · USCornell University · USMemorial Sloan Kettering Cancer Center · USNew York Genome Center · USNew York Hospital Queens · USNew York University · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Predicting the functional impact of non-coding mutations using patient-specific gene regulatory networksR01CA218668 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI EKTA KHURANA, Neville Sanjana · 2018 to 2026
$4.7M
In situ functional genomics to understand transcriptional regulationDP2HG010099 · NHGRI · NEW YORK GENOME CENTER · PI SANJANA, NEVILLE · 2017 to 2022
$4.4M
An integrative approach to target lineage-specific oncogenic transcription factorDP2CA174499 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CHI, PING · 2012 to 2012
$2.6M
Epigenetic mechanisms of transcriptional activation of a novel oncogenic ALK variant in cancerR01CA228216 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CHI, PING · 2018 to 2022
$2.5M
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
Genome engineering tools for functional screening of non-coding elementsR00HG008171 · NHGRI · NEW YORK GENOME CENTER · PI SANJANA, NEVILLE · 2016 to 2018
$733k
NCI NIH HHS DP2 CA174499NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA218668NCI NIH HHS R01 CA228216NCI NIH HHS U24 CA210989NHGRI NIH HHS DP2 HG010099NHGRI NIH HHS R00 HG008171
6 · The paper itself

Abstract

Recent studies have shown that mutations at non-coding elements, such as promoters and enhancers, can act as cancer drivers. However, an important class of non-coding elements, namely CTCF insulators, has been overlooked in the previous driver analyses. We used insulator annotations from CTCF and cohesin ChIA-PET and analyzed somatic mutations in 1,962 whole genomes from 21 cancer types. Using the heterogeneous patterns of transcription-factor-motif disruption, functional impact, and recurrence of mutations, we developed a computational method that revealed 21 insulators showing signals of positive selection. In particular, mutations in an insulator in multiple cancer types, including 16% of melanoma samples, are associated with TGFB1 up-regulation. Using CRISPR-Cas9, we find that alterations at two of the most frequently mutated regions in this insulator increase cell growth by 40%-50%, supporting the role of this boundary element as a cancer driver. Thus, our study reveals several CTCF insulators as putative cancer drivers.

Indexed as

AnimalsCCCTC-Binding FactorCell Cycle ProteinsChromosomal Proteins, Non-HistoneCohesinsDNA-Binding ProteinsGene Expression RegulationGene Expression Regulation, NeoplasticGenome, HumanHumansMutationNeoplasmsPromoter Regions, GeneticRepressor ProteinsCCCTC-Binding FactorCell Cycle ProteinsChromosomal Proteins, Non-HistoneCohesinsDNA-Binding ProteinsRepressor ProteinsCRISPR-Cas9CTCF/cohesin insulatorsmutational signaturesnon-coding driverspan-cancer analysisTGF-β signaling

Identifiers

PMID31078526
PMCPMC6917527
OpenAlexW2944278168

What OpenQuestion holds

Textmetadata
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.