Transcription Factor Networks derived from Breast Cancer Stem Cells control the immune response in the Basal subtype
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1038/s41598-017-02761-6 http://hdl.handle.net/11449/162859 |
Resumo: | 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. |
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Transcription Factor Networks derived from Breast Cancer Stem Cells control the immune response in the Basal subtypeBreast 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.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)INCa grant MOPRECLIINCa grant Role of cancer stem cells during metastatic progression of breast cancerComprehensive Cancer Center of Montpellier (SIRIC Montpellier-Cancer)Univ Sao Paulo, Ribeirao Preto Med Sch, Ribeirao Preto, BrazilINSERM U1194, F-34298 Montpellier 5, FranceCtr Cell Therapy & Reg Blood Ctr, Natl Inst Sci & Technol Stem Cell & Cell Therapy, Ribeirao Preto, BrazilVejle Sygehus, Dept Clin Genet, Vejle, DenmarkUniv Southern Denmark, Inst Reg Hlth, Odense, DenmarkUniv Brasilia UnB, Inst Biol Sci, Dept Genet & Morphol, Brasilia, DF, BrazilSao Paulo State Univ, Dept Urol, Fac Med, UNESP, Botucatu, SP, BrazilUniv Montpellier, Inst Rech Cancerol Montpellier, F-34298 Montpellier 5, FranceICM, F-34298 Montpellier 5, FranceUniv Sao Paulo, Ribeirao Preto Med Sch, CISBi Ctr Integrat Syst Biol, Ribeirao Preto, BrazilSao Paulo State Univ, Dept Urol, Fac Med, UNESP, Botucatu, SP, BrazilFAPESP: 11/19758-5Nature Publishing GroupUniversidade de São Paulo (USP)INSERM U1194Ctr Cell Therapy & Reg Blood CtrVejle SygehusUniv Southern DenmarkUniversidade de Brasília (UnB)Universidade Estadual Paulista (Unesp)Univ MontpellierICMSilveira, W. A. daPalma, P. V. B.Sicchieri, R. D.Villacis, R. A. R.Mandarano, L. R. M.Oliveira, T. M. G.Antonio, H. M. R.Andrade, J. M.Muglia, V. F.Rogatto, S. R. [UNESP]Theillet, C.du Manoir, S.Tiezzi, D. G.2018-11-26T17:34:43Z2018-11-26T17:34:43Z2017-06-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article13application/pdfhttp://dx.doi.org/10.1038/s41598-017-02761-6Scientific Reports. London: Nature Publishing Group, v. 7, 13 p., 2017.2045-2322http://hdl.handle.net/11449/16285910.1038/s41598-017-02761-6WOS:000402771200002WOS000402771200002.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengScientific Reports1,533info:eu-repo/semantics/openAccess2024-09-03T14:29:59Zoai:repositorio.unesp.br:11449/162859Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-09-03T14:29:59Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Transcription Factor Networks derived from Breast Cancer Stem Cells control the immune response in the Basal subtype |
title |
Transcription Factor Networks derived from Breast Cancer Stem Cells control the immune response in the Basal subtype |
spellingShingle |
Transcription Factor Networks derived from Breast Cancer Stem Cells control the immune response in the Basal subtype Silveira, W. A. da |
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 |
author |
Silveira, W. A. da |
author_facet |
Silveira, W. A. da Palma, P. V. B. Sicchieri, R. D. Villacis, R. A. R. Mandarano, L. R. M. Oliveira, T. M. G. Antonio, H. M. R. Andrade, J. M. Muglia, V. F. Rogatto, S. R. [UNESP] Theillet, C. du Manoir, S. Tiezzi, D. G. |
author_role |
author |
author2 |
Palma, P. V. B. Sicchieri, R. D. Villacis, R. A. R. Mandarano, L. R. M. Oliveira, T. M. G. Antonio, H. M. R. Andrade, J. M. Muglia, V. F. Rogatto, S. R. [UNESP] Theillet, C. du Manoir, S. Tiezzi, D. G. |
author2_role |
author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade de São Paulo (USP) INSERM U1194 Ctr Cell Therapy & Reg Blood Ctr Vejle Sygehus Univ Southern Denmark Universidade de Brasília (UnB) Universidade Estadual Paulista (Unesp) Univ Montpellier ICM |
dc.contributor.author.fl_str_mv |
Silveira, W. A. da Palma, P. V. B. Sicchieri, R. D. Villacis, R. A. R. Mandarano, L. R. M. Oliveira, T. M. G. Antonio, H. M. R. Andrade, J. M. Muglia, V. F. Rogatto, S. R. [UNESP] Theillet, C. du Manoir, S. Tiezzi, D. G. |
description |
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. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-06-06 2018-11-26T17:34:43Z 2018-11-26T17:34:43Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1038/s41598-017-02761-6 Scientific Reports. London: Nature Publishing Group, v. 7, 13 p., 2017. 2045-2322 http://hdl.handle.net/11449/162859 10.1038/s41598-017-02761-6 WOS:000402771200002 WOS000402771200002.pdf |
url |
http://dx.doi.org/10.1038/s41598-017-02761-6 http://hdl.handle.net/11449/162859 |
identifier_str_mv |
Scientific Reports. London: Nature Publishing Group, v. 7, 13 p., 2017. 2045-2322 10.1038/s41598-017-02761-6 WOS:000402771200002 WOS000402771200002.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Scientific Reports 1,533 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
13 application/pdf |
dc.publisher.none.fl_str_mv |
Nature Publishing Group |
publisher.none.fl_str_mv |
Nature Publishing Group |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
repositoriounesp@unesp.br |
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1810021377945632768 |