Evidence map›Paper›PMID 31850059›Full record

ArticleFrontiers in genetics2019

Master Regulators of Signaling Pathways: An Application to the Analysis of Gene Regulation in Breast Cancer.

Diana Tapia-Carrillo, Hugo Tovar, Tadeo Enrique Velazquez-Caldelas, Enrique Hernandez-Lemus

Abstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  12. A functional outside-in signaling network of proteoglycans and matrix molecules regulating autophagy.Matrix biology : journal of the International Society for Matrix Biology · 2021
    Article
  13. MZ1 co-operates with trastuzumab in HER2 positive breast cancer.Journal of experimental & clinical cancer research : CR · 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.

Diana Tapia-CarrilloComputational Genomics Department, National Institute of Genomic Medicine (INMEGEN), Mexico City, Mexico.
Hugo TovarComputational Genomics Department, National Institute of Genomic Medicine (INMEGEN), Mexico City, Mexico.
Tadeo Enrique Velazquez-CaldelasComputational Genomics Department, National Institute of Genomic Medicine (INMEGEN), Mexico City, Mexico.
Enrique Hernandez-LemusComputational Genomics Department, National Institute of Genomic Medicine (INMEGEN), Mexico City, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of gene regulatory networks allows the identification of master transcriptional factors that control specific groups of genes. In this work, we inferred a gene regulatory network from a large dataset of breast cancer samples to identify the master transcriptional factors that control the genes within signal transduction pathways. The focus in a particular subset of relevant genes constitutes an extension of the original Master Regulator Inference Algorithm (MARINa) analysis. This modified version of MARINa utilizes a restricted molecular signature containing genes from the 25 human pathways in KEGG's signal transduction category. Our breast cancer RNAseq expression dataset consists of 881 samples comprising tumors and normal mammary gland tissue. The top 10 master transcriptional factors found to regulate signal transduction pathways in breast cancer we identified are: TSHZ2, HOXA2, MEIS2, HOXA3, HAND2, HOXA5, TBX18, PEG3, GLI2, and CLOCK. The functional enrichment of the regulons of these master transcriptional factors showed an important proportion of processes related to morphogenesis. Our results suggest that, as part of the aberrant regulation of signaling pathways in breast cancer, pathways similar to the regulation of cell differentiation, cardiovascular system development, and vasculature development may be dysregulated and co-opted in favor of tumor development through the action of these transcription factors.

Indexed as

breast cancerdevelopmentmaster regulatorsignaling pathwaystranscription factors

Identifiers

PMID31850059
PMCPMC6902642

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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.