Evidence map›Paper›PMID 28588211›Full record

ArticleScientific reports2017

Transcription Factor Networks derived from Breast Cancer Stem Cells control the immune response in the Basal subtype.

W A da Silveira, P V B Palma, R D Sicchieri, R A R Villacis, L R M Mandarano, T M G Oliveira, H M R Antonio, J M Andrade, V F Muglia, S R Rogatto and 3 more

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 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
1.2field-weighted citation impact, top 20% 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, 45 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Distinct Malignant Cell States and Myeloid Glutamate Signaling Associated with Aggressive Pancreatic Neuroendocrine Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Genes & diseases · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

13 authors at 5 institutions in 3 countries.

W A da SilveiraRibeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
P V B PalmaNational Institute of Science and Technology in Stem Cell and Cell Therapy, Center for Cell Therapy and Regional Blood Center, Ribeirao Preto, Brazil.
R D SicchieriRibeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
R A R VillacisDepartment of Genetics and Morphology, Institute of Biological Sciences, University of Brasília - UnB, Brasília, DF, Brazil.
L R M MandaranoRibeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
T M G OliveiraRibeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
H M R AntonioRibeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
J M AndradeRibeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
V F MugliaRibeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.ORCID 0000-0002-4700-0599
S R RogattoDepartment of Clinical Genetics, Vejle Sygehus, Vejle, and Institute of Regional Health, University of Southern, Denmark, Denmark.
C TheilletINSERM U1194, 34298 Montpellier cedex 5, Montpellier, France.
S du ManoirINSERM U1194, 34298 Montpellier cedex 5, Montpellier, France. stanislas.dumanoir@inserm.fr.
D G TiezziRibeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil. dtiezzi@usp.br.
Universidade de São Paulo · BRInserm · FRUniversidade de Brasília · BRUniversidade de Ribeirão Preto · BRUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most common cancer in women worldwide and metastatic dissemination is the principal factor related to death by this disease. Breast cancer stem cells (bCSC) are thought to be responsible for metastasis and chemoresistance. In this study, based on whole transcriptome analysis from putative bCSC and reverse engineering of transcription control networks, we identified two networks associated with this phenotype. One controlled by SNAI2, TWIST1, BNC2, PRRX1 and TBX5 drives a mesenchymal or CSC-like phenotype. The second network is controlled by the SCML4, ZNF831, SP140 and IKZF3 transcription factors which correspond to immune response modulators. Immune response network expression is correlated with pathological response to chemotherapy, and in the Basal subtype is related to better recurrence-free survival. In patient-derived xenografts, the expression of these networks in patient tumours is predictive of engraftment success. Our findings point out a potential molecular mechanism underlying the balance between immune surveillance and EMT activation in breast cancer. This molecular mechanism may be useful to the development of new target therapies.

Indexed as

AnimalsBiomarkersBreast NeoplasmsDisease Models, AnimalFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHeterograftsHumansMiceNeoplastic Stem CellsPhenotypeProtein BindingSignal TransductionTranscription FactorsTranscriptomeBiomarkersTranscription Factors

Identifiers

PMID28588211
PMCPMC5460106
OpenAlexW2617398843

What OpenQuestion holds

Textmetadata
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.