Evidence map›Paper›PMID 28029156›Full record

ArticleNature genetics2016

Copy number alterations unmasked as enhancer hijackers.

Rameen Beroukhim, Xiaoyang Zhang, Matthew Meyerson

Abstract readComment
PubMed Publisher
In one paragraph

Article in Nature genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

32 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The Cancer Genome in the Long Reads Era.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Observational
  15. Chromatin Conformation in Development and Disease.Frontiers in cell and developmental biology · 2021
    Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Rameen BeroukhimDana-Farber Cancer Institute, the Broad Institute of Harvard and MIT, and Harvard Medical School, Boston, Massachusetts, USA.
Xiaoyang ZhangDana-Farber Cancer Institute, the Broad Institute of Harvard and MIT, and Harvard Medical School, Boston, Massachusetts, USA.
Matthew MeyersonDana-Farber Cancer Institute, the Broad Institute of Harvard and MIT, and Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-9133-8108
Broad Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our understanding of how DNA copy number changes contribute to disease, including cancer, has to a large degree been focused on the changes in gene dosage that they generate and has neglected the effects of the DNA rearrangements that lead to their formation. A new study reports an innovative analytical framework for copy number alterations that are oncogenic primarily owing to the genomic rearrangements that underlie them.

Indexed as

DNA Copy Number VariationsEnhancer Elements, GeneticGene Expression Regulation, NeoplasticBasic Helix-Loop-Helix ProteinsChromosome AberrationsChromosomes, Human, Pair 14Chromosomes, Human, Pair 6Chromosomes, Human, Pair 8GATA2 Transcription FactorGene DosageHumansInsulin-Like Growth Factor IINeoplasmsProto-Oncogene ProteinsProto-Oncogene Proteins c-mycT-Cell Acute Lymphocytic Leukemia Protein 1Basic Helix-Loop-Helix ProteinsGATA2 protein, humanGATA2 Transcription FactorIGF2 protein, humanInsulin-Like Growth Factor IIMYC protein, humanProto-Oncogene ProteinsProto-Oncogene Proteins c-mycTAL1 protein, humanT-Cell Acute Lymphocytic Leukemia Protein 1

Identifiers

PMID28029156
OpenAlexW2567512722

What OpenQuestion holds

Textmetadata
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.