| Title |
ABCG2 is a potential marker of tumor-initiating cells in breast cancer
|
|---|---|
| Published in |
Tumor Biology, June 2015
|
| DOI | 10.1007/s13277-015-3647-0 |
| Pubmed ID | |
| Authors |
Renata Danielle Sicchieri, Willian Abraham da Silveira, 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. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 19% |
| Student > Bachelor | 6 | 17% |
| Professor > Associate Professor | 4 | 11% |
| Researcher | 4 | 11% |
| Student > Master | 3 | 8% |
| Other | 7 | 19% |
| Unknown | 5 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 31% |
| Biochemistry, Genetics and Molecular Biology | 7 | 19% |
| Agricultural and Biological Sciences | 6 | 17% |
| Nursing and Health Professions | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 8 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 July 2015.
All research outputs
#17,763,547
of 22,813,792 outputs
Outputs from Tumor Biology
#1,219
of 2,622 outputs
Outputs of similar age
#177,365
of 264,425 outputs
Outputs of similar age from Tumor Biology
#52
of 158 outputs
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