Supplementary Table 4 from ALDH1-Positive Cancer Stem Cells Predict Engraftment of Primary Breast Tumors and Are Governed by a Common Stem Cell Program
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posted on 2023-03-30, 21:51 authored by Emmanuelle Charafe-Jauffret, Christophe Ginestier, François Bertucci, Olivier Cabaud, Julien Wicinski, Pascal Finetti, Emmanuelle Josselin, José Adelaide, Tien-Tuan Nguyen, Florence Monville, Jocelyne Jacquemier, Jeanne Thomassin-Piana, Guillaume Pinna, Aurélie Jalaguier, Eric Lambaudie, Gilles Houvenaeghel, Luc Xerri, Annick Harel-Bellan, Max Chaffanet, Patrice Viens, Daniel BirnbaumTable SIII. Breast cancer stem cell gene expression signature (BCSC-GES)
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ARTICLE ABSTRACT
Cancer stem-like cells (CSC) have been widely studied, but their clinical relevance has yet to be established in breast cancer. Here, we report the establishment of primary breast tumor–derived xenografts (PDX) that encompass the main diversity of human breast cancer and retain the major clinicopathologic features of primary tumors. Successful engraftment was correlated with the presence of ALDH1-positive CSCs, which predicted prognosis in patients. The xenografts we developed showed a hierarchical cell organization of breast cancer with the ALDH1-positive CSCs constituting the tumorigenic cell population. Analysis of gene expression from functionally validated CSCs yielded a breast CSC signature and identified a core transcriptional program of 19 genes shared with murine embryonic, hematopoietic, and neural stem cells. This generalized stem cell program allowed the identification of potential CSC regulators, which were related mainly to metabolic processes. Using an siRNA genetic screen designed to target the 19 genes, we validated the functional role of this stem cell program in the regulation of breast CSC biology. Our work offers a proof of the functional importance of CSCs in breast cancer, and it establishes the reliability of PDXs for use in developing personalized CSC therapies for patients with breast cancer. Cancer Res; 73(24); 7290–300. ©2013 AACR.Usage metrics
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