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Status |
Public on Jul 28, 2021 |
Title |
Deciphering the gene expression network regulated by ETV7 |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
Cancer stem cells (CSCs) represent a population of cells within the tumor able to drive tumorigenesis and known to be highly resistant to conventional chemotherapy and radiotherapy. In this work, we show a new role for ETV7, a transcriptional repressor member of the ETS family, in promoting breast cancer stem-like cells plasticity and resistance to chemo- and radiotherapy in breast cancer (BC) cells. We observed that MCF7 and T47D BC-derived cells stably over-expressing ETV7 showed reduced sensitivity to the chemotherapeutic drug 5-Flouororuacil and to radiotherapy, accompanied by an adaptive proliferative behavior observed in different culture conditions. We further noticed that alteration of ETV7 expression could significantly affect the population of breast CSCs, measured by CD44+/CD24low cell population and mammosphere formation efficiency. By transcriptome profiling, we identified a signature of Interferon-responsive genes significantly repressed in cells over-expressing ETV7, which could be responsible for the increase in the breast CSCs population, as this could be partially reverted by the treatment with IFN-b. Lastly, we show that the expression of the IFN-responsive genes repressed by ETV7 could have prognostic value in breast cancer, as low expression of these genes was associated with a worse prognosis. Therefore, we propose a novel role for ETV7 in breast cancer stem cells’ plasticity and associated resistance to conventional chemotherapy and radiotherapy, which involves the repression of a group of IFN-responsive genes, potentially reversible upon IFN-b treatment. We, therefore, suggest that an in-depth investigation of this mechanism could lead to novel breast CSCs targeted therapies and to the improvement of combinatorial regimens, possibly involving the therapeutic use of IFN-b, with the aim of avoiding resistance development and relapse in breast cancer.
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Overall design |
We analyzed gene expression from 2 breast cancer-derived cell lines (MCF7 and T47D) stably transfected with ETV7 or an empty vector (pAIP backbone) as a control. Three biological replicates for each condition (4 Samples) have been prepared and processed.
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Contributor(s) |
Ciribilli Y, Pezzè L, Forcato M, Bicciato S |
Citation(s) |
34315857 |
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Submission date |
Jun 16, 2020 |
Last update date |
Jul 30, 2021 |
Contact name |
Mattia Forcato |
Organization name |
University of Padova
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Street address |
Via Ugo Bassi, 58/B
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City |
Padova |
ZIP/Postal code |
35131 |
Country |
Italy |
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Platforms (1) |
GPL16791 |
Illumina HiSeq 2500 (Homo sapiens) |
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Samples (12)
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Relations |
BioProject |
PRJNA639783 |
SRA |
SRP267516 |
Supplementary file |
Size |
Download |
File type/resource |
GSE152580_RNAseq_expressionMatrix_counts.txt.gz |
503.9 Kb |
(ftp)(http) |
TXT |
SRA Run Selector |
Raw data are available in SRA |
Processed data are available on Series record |
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