Evidence map›Paper›PMID 28496157›Full record

ArticleScientific reports2017

RNA-Seq based genome-wide analysis reveals loss of inter-chromosomal regulation in breast cancer.

Jesús Espinal-Enríquez, Cristóbal Fresno, Guillermo Anda-Jáuregui, Enrique Hernández-Lemus

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Loss of long-range co-expression is a common feature in cancer.NPJ systems biology and applications · 2026
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  20. Modularity in Biological Networks.Frontiers in genetics · 2021
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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

4 authors at 3 institutions in 3 countries.

Jesús Espinal-EnríquezComputational Genomics Division, National Institute of Genomic Medicine (INMEGEN), 14610, Mexico City, Mexico.
Cristóbal FresnoComputational Genomics Division, National Institute of Genomic Medicine (INMEGEN), 14610, Mexico City, Mexico.
Guillermo Anda-JáureguiComputational Genomics Division, National Institute of Genomic Medicine (INMEGEN), 14610, Mexico City, Mexico.
Enrique Hernández-LemusComputational Genomics Division, National Institute of Genomic Medicine (INMEGEN), 14610, Mexico City, Mexico. ehernandez@inmegen.gob.mx.ORCID 0000-0002-1872-1397
National Institute of Genomic Medicine · MXUniversidad Católica de Córdoba · ARUniversity of North Dakota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a complex heterogeneous disease. Common hallmark features of cancer can be found. Their origin may be traced back to their intricate relationships governing regulatory programs during the development of this disease. To unveil distinctive features of the transcriptional regulation program in breast cancer, a pipeline for RNA-seq analysis in 780 breast cancer and 101 healthy breast samples, at gene expression and network level, was implemented. Inter-chromosomal relationships between genes resulted strikingly scarce in a cancer network, in comparison to its healthy counterpart. We suggest that inter-chromosomal regulation loss may be a novel feature in breast cancer. Additional evidence was obtained by independent validation in microarray and Hi-C data as well as supplementary computational analyses. Functional analysis showed upregulation in processes related to cell cycle and division; while migration, adhesion and cell-to-cell communication, were downregulated. Both the BRCA1 DNA repairing signalling and the Estrogen-mediated G1/S phase entry pathways were found upregulated. In addition, a synergistic underexpression of the γ-protocadherin complex, located at Chr5q31 is also shown. This region has previously been reported to be hypermethylated in breast cancer. These findings altogether provide further evidence for the central role of transcriptional regulatory programs in shaping malignant phenotypes.

Indexed as

Genome, HumanBreast NeoplasmsCell Line, TumorChromosomes, HumanDown-RegulationFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPhenotypeReproducibility of ResultsSequence Analysis, RNASignal Transduction

Identifiers

PMID28496157
PMCPMC5431987
OpenAlexW2611050343

What OpenQuestion holds

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LicenceCC BY
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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.