Identification of TAZ-Dependent Breast Cancer Vulnerabilities Using a Chemical Genomics Screening Approach.
Identification of TAZ-Dependent Breast Cancer Vulnerabilities Using a Chemical Genomics Screening Approach.
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DOI:
10.3389/fcell.2021.673374
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发表时间:
2021
影响因子:
5.5
通讯作者:
Zhang J
中科院分区:
文献类型:
--
作者:
Shen H;Chen Y;Wan Y;Liu T;Wang J;Zhang Y;Wei L;Hu Q;Xu B;Chernov M;Frangou C;Zhang J
Breast cancer stem cells (BCSCs) represent a subpopulation of tumor cells that can self-renew and generate tumor heterogeneity. Targeting BCSCs may ameliorate therapy resistance, tumor growth, and metastatic progression. However, the origin and molecular mechanisms underlying their cellular properties are poorly understood. The transcriptional coactivator with PDZ-binding motif (TAZ) promotes mammary stem/progenitor cell (MaSC) expansion and maintenance but also confers stem-like traits to differentiated tumor cells. Here, we describe the rapid generation of experimentally induced BCSCs by TAZ-mediated reprogramming of human mammary epithelial cells, hence allowing for the direct analysis of BCSC phenotypes. Specifically, we establish genetically well-defined TAZ-dependent (TAZDEP) and -independent (TAZIND) cell lines with cancer stem cell (CSC) traits, such as self-renewal, variable resistance to chemotherapeutic agents, and tumor seeding potential. TAZDEP cells were associated with the epithelial to mesenchymal transition, embryonic, and MaSC signature genes. In contrast, TAZIND cells were characterized by a neuroendocrine transdifferentiation transcriptional program associated with Polycomb repressive complex 2 (PRC2). Mechanistically, we identify Cyclin D1 (CCND1) as a critical downstream effector for TAZ-driven tumorigenesis. Overall, our results reveal a critical TAZ-CCND1-CDK4/CDK6 signaling axis, suggesting novel therapeutic approaches to eliminate both BCSCs and therapy-resistant cancer cells.
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影响因子:
7.4
作者:
Fillmore, Christine M.;Kuperwasser, Charlotte
通讯作者:
Kuperwasser, Charlotte
DOI:
10.1093/bioinformatics/bts251
发表时间:
2012-07-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Jiao X;Sherman BT;Huang da W;Stephens R;Baseler MW;Lane HC;Lempicki RA
通讯作者:
Lempicki RA
影响因子:
4.8
作者:
Debnath, J;Muthuswamy, SK;Brugge, JS
通讯作者:
Brugge, JS
影响因子:
23.9
作者:
Brooks MD;Burness ML;Wicha MS
通讯作者:
Wicha MS
影响因子:
64.5
作者:
Ciriello G;Gatza ML;Beck AH;Wilkerson MD;Rhie SK;Pastore A;Zhang H;McLellan M;Yau C;Kandoth C;Bowlby R;Shen H;Hayat S;Fieldhouse R;Lester SC;Tse GM;Factor RE;Collins LC;Allison KH;Chen YY;Jensen K;Johnson NB;Oesterreich S;Mills GB;Cherniack AD;Robertson G;Benz C;Sander C;Laird PW;Hoadley KA;King TA;TCGA Research Network;Perou CM
通讯作者:
Perou CM