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Chronically radiation-exposed survivor GBM cells display poor response to Chk1 inhibition.

ABSTRACT: To investigate radiation response of reccurent glioblastoma models after radiotherapy, we have utilized clinically relevant radioresistant cell model. We have generated to radiation survivor GBM population from 1 cell line and 1 primary cell line. To investigate transcriptomic alterations we have performed RNA-seq to our both naive and IR survivor samples as triplicates.

ORGANISM(S): Homo sapiens

PROVIDER: GSE199862 | GEO | 2022/07/13

REPOSITORIES: GEO

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Project description: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 ERα 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.

Project description:Recently, multicellular spheroids were isolated from a well-established epithelial ovarian cancer cell line, OVCAR-3, and were propagated in vitro. These spheroid derived cells displayed numerous hallmarks of cancer stem cells, which are chemo and radioresistant cells thought to be a significant cause of cancer recurrence and resultant mortality. Gene set enrichment analysis of expression data from the OVCAR-3 cells and the spheroid-derived putative cancer stem cells identified several metabolic pathways enriched in differentially expressed genes. Before this, there had been little previous knowledge or investigation of systems-scale metabolic differences between cancer cells and cancer stem cells, and no knowledge of such differences in ovarian cancer stem cells. To determine if there were substantial metabolic changes corresponding with these transcriptional differences, we used two-dimensional gas chromatography coupled to mass spectrometry to measure the metabolite profiles of the two cell lines. These two cell lines exhibited significant metabolic differences in both intracellular and extracellular metabolite measurements. Principal components analysis, an unsupervised dimensional reduction technique, showed complete separation between the two cell types based on their metabolite profiles. Pathway analysis of intracellular metabolomics data revealed close overlap with metabolic pathways identified from gene expression data, with four out of six pathways found enriched in gene-level analysis also enriched in metabolite-level analysis. Some of those pathways contained multiple metabolites that were individually statistically significantly different between the two cell lines, with one of the most broadly and consistently different pathways, arginine and proline metabolism, suggesting an interesting hypothesis about cancerous and stem-like metabolic phenotypes in this pair of cell lines. Overall, we demonstrate for the first time that metabolism in an ovarian cancer stem cell line is distinct from that of more differentiated isogenic cancer cells, supporting the potential importance of metabolism in the differences between cancer cells and cancer stem cells.

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Chronically radiation-exposed survivor GBM cells display poor response to Chk1 inhibition.

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