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

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 ana...

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Autores principales: 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, C. Theillet, S. du Manoir, D. G. Tiezzi
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Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/0719ec218d9b4cb0a91c0d2eacbe4d9f
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spelling oai:doaj.org-article:0719ec218d9b4cb0a91c0d2eacbe4d9f2021-12-02T15:06:11ZTranscription Factor Networks derived from Breast Cancer Stem Cells control the immune response in the Basal subtype10.1038/s41598-017-02761-62045-2322https://doaj.org/article/0719ec218d9b4cb0a91c0d2eacbe4d9f2017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-02761-6https://doaj.org/toc/2045-2322Abstract 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.W. A. da SilveiraP. V. B. PalmaR. D. SicchieriR. A. R. VillacisL. R. M. MandaranoT. M. G. OliveiraH. M. R. AntonioJ. M. AndradeV. F. MugliaS. R. RogattoC. TheilletS. du ManoirD. G. TiezziNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-13 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
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
C. Theillet
S. du Manoir
D. G. Tiezzi
Transcription Factor Networks derived from Breast Cancer Stem Cells control the immune response in the Basal subtype
description 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.
format article
author 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
C. Theillet
S. du Manoir
D. G. Tiezzi
author_facet 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
C. Theillet
S. du Manoir
D. G. Tiezzi
author_sort W. A. da Silveira
title Transcription Factor Networks derived from Breast Cancer Stem Cells control the immune response in the Basal subtype
title_short Transcription Factor Networks derived from Breast Cancer Stem Cells control the immune response in the Basal subtype
title_full Transcription Factor Networks derived from Breast Cancer Stem Cells control the immune response in the Basal subtype
title_fullStr Transcription Factor Networks derived from Breast Cancer Stem Cells control the immune response in the Basal subtype
title_full_unstemmed Transcription Factor Networks derived from Breast Cancer Stem Cells control the immune response in the Basal subtype
title_sort transcription factor networks derived from breast cancer stem cells control the immune response in the basal subtype
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/0719ec218d9b4cb0a91c0d2eacbe4d9f
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