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Series GSE152580 Query DataSets for GSE152580
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
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.
 
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.
 
Contributor(s) Ciribilli Y, Pezzè L, Forcato M, Bicciato S
Citation(s) 34315857
Submission date Jun 16, 2020
Last update date Jul 30, 2021
Contact name Mattia Forcato
Organization name University of Padova
Street address Via Ugo Bassi, 58/B
City Padova
ZIP/Postal code 35131
Country Italy
 
Platforms (1)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
Samples (12)
GSM4618409 MCF7_Empty_rep1
GSM4618410 MCF7_ETV7_rep1
GSM4618411 MCF7_Empty_rep2
Relations
BioProject PRJNA639783
SRA SRP267516

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE152580_RNAseq_expressionMatrix_counts.txt.gz 503.9 Kb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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