Renata Danielle Sicchieri
ABCG2 is a potential marker of tumor-initiating cells in breast cancer
Sicchieri, Renata Danielle; da Silveira, Willian Abraham; Mandarano, Larissa Raquel Mouro; Gonçalves de Oliveira, Tatiane Mendes; Carrara, Hélio Humberto Angotti; Muglia, Valdair Francisco; de Andrade, Jurandyr Moreira; Tiezzi, Daniel Guimarães
Authors
Dr Willian Da Silveira W.A.DaSilveira@salford.ac.uk
Lecturer
Larissa Raquel Mouro Mandarano
Tatiane Mendes Gonçalves de Oliveira
Hélio Humberto Angotti Carrara
Valdair Francisco Muglia
Jurandyr Moreira de Andrade
Daniel Guimarães Tiezzi
Abstract
The existence of tumor-initiating cells (TICs) within solid tumors has been hypothesized to explain tumor heterogeneity and resistance to cancer therapy. In breast cancer, the expression of CD44 and CD24 and the activity of aldehyde dehydrogenase 1 (ALDH1) can be used to selectively isolate a cell population enriched in TICs. However, the ideal marker to identify TICs has not been established. The aim of this study was to evaluate the expression of novel potential markers for TIC in breast carcinoma. We prospectively analyzed the expression of CD44, CD24, ABCG2, and CXCR4, and the activity of ALDH1 by using flow cytometry in 48 invasive ductal carcinomas from locally advanced and metastatic breast cancer patients who were administered primary chemotherapy. A mammosphere assay was employed in 30 samples. The relationship among flow cytometric analyses, ABCG2 gene expression, and clinical and pathological responses to therapy was analyzed. The GSE32646 database was analyzed in silico to identify genes associated with tumors with low and high ABCG2 expression. We observed that the presence of ABCG2(+) cells within the primary tumor was the only marker to predict the formation of mammospheres in vitro (R (2) = 0.15, p = 0.029). Quantitative polymerase chain reaction (qPCR) revealed a positive correlation between ABCG2 expression and the presence of ABCG2(+) cells within the primary tumor. The expression of ABCG2 was predictive of the response to neoadjuvant chemotherapy in our experiments and in the GSE32646 dataset (p = 0.04 and p = 0.002, respectively). The in silico analysis demonstrated that ABCG2(Up) breast cancer samples have a slower cell cycle and a higher expression of membrane proteins but a greater potential for chromosomal instability, metastasis, immune evasion, and resistance to hypoxia. Such genetic characteristics are compatible with highly aggressive and resistant tumors. Our results support the hypothesis that the presence of ABCG2(+) cells in breast carcinomas is a marker of resistance to chemotherapy, and based on in vitro assays and the genetic profile, we show, for the first time, that ABCG2 protein can be used as an independent marker for TIC identification in breast cancer.
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 4, 2015 |
Online Publication Date | Jun 20, 2015 |
Publication Date | 2015-12 |
Deposit Date | Oct 25, 2024 |
Journal | Tumor Biology |
Print ISSN | 1010-4283 |
Electronic ISSN | 1423-0380 |
Publisher | Springer Verlag |
Peer Reviewed | Peer Reviewed |
Volume | 36 |
Pages | 9233-9243 |
DOI | https://doi.org/10.1007/s13277-015-3647-0 |
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