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Series GSE120798 Query DataSets for GSE120798
Status Public on Oct 04, 2018
Title Development and Characterisation of Acquired Radioresistant Breast Cancer Cell Lines.
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Background: Radiotherapy plays an important role in the multimodal treatment of breast cancer. The response of a breast tumour to radiation depends not only on its innate radiosensitivity but also on tumour repopulation by cells that have developed radioresistance. Development of effective cancer treatments will require further molecular dissection of the processes that contribute to resistance.

Methods: Radioresistant cell lines were established by exposing MDA-MB-231, MCF-7 and ZR-751 parental cells to increasing weekly doses of radiation. The development of radioresistance was evaluated through proliferation and colony formation assays. Phenotypic characterisation included migration and invasion assays and immunohistochemistry. Intrinsic differences and changes in response to radiation between parental and radioresistant cells were investigated by whole-transcriptome gene expression analysis. Gene enrichment and pathway-focused analyses identified signalling networks differentially activated in radioresistant cells, which were confirmed by western blotting.

Results: Proliferation and colony formation assays confirmed radioresistance. Radioresistant cells exhibited enhanced migration and invasion, with evidence of epithelial-to-mesenchymal-transition, and limited activation of DNA damage and apoptotic pathways in response to 2 Gy ionising radiation. Significantly, acquisition of radioresistance in MCF-7 and ZR-751 cell lines resulted in a loss of expression of both ERĪ± and PgR and an increase in EGFR expression; based on gene analysis they changed subtype classification from their parental luminal A to HER2-overexpressing (MCF-7 RR) and normal-like (ZR-751 RR) subtypes, indicating the extent of phenotypic changes and cellular plasticity involved in this process. Whole-transcriptome gene expression analysis identified down-regulation of ER signalling genes and up-regulation of genes associated with PI3K, MAPK and WNT pathway activity in radioresistant cell lines derived from ER+ cells; this was confirmed by western blot, which showed increased p-AKT and p-ERK expression following radiation.

Conclusions: This is the first study to date that extensively describes the development and characterisation of three novel radioresistant breast cancer cell lines through both genetic and phenotypic analysis. More changes were identified between parental cells and their radioresistant derivatives in the ER+ (MCF-7 and ZR-751) compared with the ER- cell line (MDA-MB-231) model; however, multiple and likely interrelated mechanisms were identified that may contribute to the development of acquired resistance to radiotherapy.
 
Overall design Whole-genome transcriptomic analysis of 3 breast cancer cell lines (MCF-7, ZR-751 and MDA-MB-231) and 3 radio-resistant models derived from these (MCF-7 RR, ZR-751 RR, MDA-MB-231 RR), using Lexogen QuantSeq technology).

Please note that the 0G and 2G labels (in the sample title) refer to the treatment received: 0 Gray (untreated) or 2 Gray (radiation treatment).
 
Contributor(s) Gray M, Turnbull AK, Martinez-Perez C
Citation(s) 30987655, 34442440
Submission date Oct 03, 2018
Last update date Sep 08, 2021
Contact name Carlos Martinez-Perez
E-mail(s) carlos.martinez-perez@igmm.ed.ac.uk
Organization name The University of Edinburgh
Department Institute of Genetics and Molecular Medicine
Street address Western General Hospital, Crewe Road South
City Edinburgh
ZIP/Postal code EH4 2XU
Country United Kingdom
 
Platforms (1)
GPL21697 NextSeq 550 (Homo sapiens)
Samples (29)
GSM3415939 MCF7_0h_0g_S11
GSM3415940 MCF7_2h_0g_S12
GSM3415941 MCF7_2h_2g_S13
Relations
BioProject PRJNA494562
SRA SRP163253

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Supplementary file Size Download File type/resource
GSE120798_log2_quantile_normalized_counts.txt.gz 1.2 Mb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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