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

被引:32
作者
da Silveira, W. A. [1 ,2 ]
Palma, P. V. B. [3 ]
Sicchieri, R. D. [1 ]
Villacis, R. A. R. [6 ]
Mandarano, L. R. M. [1 ]
Oliveira, T. M. G. [1 ]
Antonio, H. M. R. [1 ]
Andrade, J. M. [1 ]
Muglia, V. F. [1 ]
Rogatto, S. R. [4 ,5 ,7 ]
Theillet, C. [2 ,8 ,9 ]
du Manoir, S. [2 ,8 ]
Tiezzi, D. G. [1 ,10 ]
机构
[1] Univ Sao Paulo, Ribeirao Preto Med Sch, Ribeirao Preto, Brazil
[2] INSERM U1194, F-34298 Montpellier 5, France
[3] Ctr Cell Therapy & Reg Blood Ctr, Natl Inst Sci & Technol Stem Cell & Cell Therapy, Ribeirao Preto, Brazil
[4] Vejle Sygehus, Dept Clin Genet, Vejle, Denmark
[5] Univ Southern Denmark, Inst Reg Hlth, Odense, Denmark
[6] Univ Brasilia UnB, Inst Biol Sci, Dept Genet & Morphol, Brasilia, DF, Brazil
[7] Sao Paulo State Univ, Dept Urol, Fac Med, UNESP, Botucatu, SP, Brazil
[8] Univ Montpellier, Inst Rech Cancerol Montpellier, F-34298 Montpellier 5, France
[9] ICM, F-34298 Montpellier 5, France
[10] Univ Sao Paulo, Ribeirao Preto Med Sch, CISBi Ctr Integrat Syst Biol, Ribeirao Preto, Brazil
来源
SCIENTIFIC REPORTS | 2017年 / 7卷
基金
巴西圣保罗研究基金会;
关键词
REGULATORY NETWORKS; EXPRESSION; CHEMOKINES; PROGNOSIS; PML; CLASSIFICATION; ANGIOGENESIS; METASTASIS; TRANSITION; PROTEINS;
D O I
10.1038/s41598-017-02761-6
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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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收藏
页数:13
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