MiRNA profile of radioresistant pancreatic cancer cell lines
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ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Wang Peng
PROVIDER: S-ECPF-GEOD-41249 | biostudies-other |
REPOSITORIES: biostudies-other
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Project description:We established radioresistant cell sublines, named as BxPC3/RR1 and BxPC3/RR2 which were derived from parental human pancreatic cancer cell line BxPC3. The miRNA expression profiles of the radioresistant pancreatic cancer cells were then compared with their parental cells. Three samples were analysed. miRNAs that were differentially expressed (increased or decreased in expression by M-bM-^IM-%1.5-fold) between the radioresistant and parental cells were identified.
2013-07-01 | E-GEOD-41249 | biostudies-arrayexpress
Project description:We established radioresistant cell sublines, named as BxPC3/RR1 and BxPC3/RR2 which were derived from parental human pancreatic cancer cell line BxPC3. The miRNA expression profiles of the radioresistant pancreatic cancer cells were then compared with their parental cells.
2013-07-01 | GSE41249 | GEO
Project description:BackgroundRadiotherapy 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.MethodsRadioresistant 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. Transcriptomic data were also generated for preliminary hypothesis generation involving pathway-focused analyses.ResultsProliferation and colony formation assays confirmed radioresistance. Radioresistant cells exhibited enhanced migration and invasion, with evidence of epithelial-to-mesenchymal-transition. 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 transcriptomic data 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. Radioresistant cell lines derived from ER+ cells also showed a shift from ER to EGFR signalling pathways with increased MAPK and PI3K activity.ConclusionsThis 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.
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Project description:Aim: To determine the miRNA expression profile of SCLC cell lines vs. normal lung tissue. Keywords: disease state analysis Total RNA isolated from SCLC cell lines H69, HTB-172, HTB-173 and HTB-184 were compared to a mixed RNA sample derived from 6 normal lung tissue samples (fresh surgical material), from 6 tumor-free patients. The same reference sample (normal lung) was used on all 4 microarrays.
| S-ECPF-GEOD-8824 | biostudies-other
Project description:BackgroundEpithelial-mesenchymal transition (EMT) is regarded as a critical event during tumor metastasis. Recent studies have revealed changes and the contributions of proteins in/on exosomes during EMT. Besides proteins, microRNA (miRNA) is another important functional component of exosomes. We hypothesized that the miRNA profile of exosomes may change following EMT and these exosomal miRNAs may in return promote EMT, migration and invasion of cancer cells.ResultsThe small RNA profile of exosomes was altered following EMT. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed that the specific miRNAs of M-exosomes have the potential to drive signal transduction networks in EMT and cancer progression. Co-culture experiments confirmed that M-exosomes can enter epithelial cells and promote migration, invasion and expression of mesenchymal markers in the recipient cells.ConclusionOur results reveal changes in the function and miRNA profile of exosomes upon EMT. M-exosomes can promote transfer of the malignant (mesenchymal) phenotype to epithelial recipient cells. Further, the miRNAs specifically expressed in M-exosomes are associated with EMT and metastasis, and may serve as new biomarkers for EMT-like processes in lung cancer.
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Project description:Hodgkin lymphoma (HL) is derived from preapoptotic germinal center B cells, although a general loss of B cell phenotype is noted. Using quantitative reverse transcription-polymerase chain reaction and miRNA microarray, we determined the microRNA (miRNA) profile of HL and compared this with the profile of a panel of B-cell non-Hodgkin lymphomas. The two methods showed a strong correlation for the detection of miRNA expression levels. The HL-specific miRNA included miR-17-92 cluster members, miR-16, miR-21, miR-24, and miR-155. Using a large panel of cell lines, we found differential expression between HL and other B-cell lymphoma-derived cell lines for 27 miRNA. A significant down-regulation in HL compared to non-Hodgkin lymphoma was observed only for miR-150. Next, we performed target gene validation of predicted target genes for miR-155, which is highly expressed in HL and is differentially expressed between HL and Burkitt lymphoma. Using luciferase reporter assays, we validated 11 predicted miR-155 target genes in three different HL cell lines. We demonstrated that AGTR1, FGF7, ZNF537, ZIC3, and IKBKE are true miR-155 target genes in HL.
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Project description:Radiation therapy is a powerful tool for the treatment of oesophageal cancer. We established radioresistant cell lines by applying fractionated irradiation in order to identify differentially expressed genes between parent and radioresistant cells. Six oesophageal cancer cell lines (TE-2, TE-5, TE-9, TE-13, KYSE170, and KYSE180) were treated with continuous 2 Gy fractionated irradiation (total dose 60 Gy). We compared expression profiles of each parent and radioresistant lines on a cDNA microarray consisting of 21168 genes. In the fractionated irradiation trial, four radioresistant sublines (TE-2R, TE-9R, TE-13R, KYSE170R) were established successfully, and we identified 19 upregulated and 28 downregulated genes common to radioresistant sublines. Upregulated genes were associated with apoptosis and inflammatory response (BIRC2 and COX-2), DNA metabolism (CD73), and cell growth (PLAU). Downregulated genes were associated with apoptosis (CASP6), cell adhesion (CDH1 and CDH3), transcription (MLL3), and cell cycle (CDK6). Some of these genes were known to be associated with radiation response, such as COX-2, but others were novel. Reverse transcription-polymerase chain reaction confirmed that genes selected by cDNA microarray were overexpressed in clinical specimens of radioresistant cases. Global gene analysis of radioresistant sublines may provide new insight into mechanisms of radioresistance and effective radiation therapy.
| S-EPMC2409931 | biostudies-literature
Project description:Expression data from pancreatic cancer cell lines and non-neoplastic pancreatic cell line HPDE To identify genes epigenetically silenced and regulated in pancreatic cancer We compared the gene expression profiles of 6 pancreatic cancer cell lines (panc215, A32-1, A38-5, panc2.5, panc2.8, and panc3.014), to the non-neoplastic pancreas cell line, HPDE. We also compared the baseline gene expression of the pancreatic cancer cell lines to expression patterns after treatment with 5-aza-dC alone, TSA alone, and to a combination of 5-aza-dC/TSA.
| S-ECPF-GEOD-21163 | biostudies-other
Project description:BackgroundThe probability of local tumor control after radiotherapy (RT) remains still miserably poor in pediatric rhabdomyosarcoma (RMS). Thus, understanding the molecular mechanisms responsible of tumor relapse is essential to identify personalized RT-based strategies. Contrary to what has been done so far, a correct characterization of cellular radioresistance should be performed comparing radioresistant and radiosensitive cells with the same isogenic background.MethodsClinically relevant radioresistant (RR) embryonal (RD) and alveolar (RH30) RMS cell lines have been developed by irradiating them with clinical-like hypo-fractionated schedule. RMS-RR cells were compared to parental isogenic counterpart (RMS-PR) and studied following the radiobiological concept of the "6Rs", which stand for repair, redistribution, repopulation, reoxygenation, intrinsic radioresistance and radio-immuno-biology.ResultsRMS-RR cell lines, characterized by a more aggressive and in vitro pro-metastatic phenotype, showed a higher ability to i) detoxify from reactive oxygen species; ii) repair DNA damage by differently activating non-homologous end joining and homologous recombination pathways; iii) counteract RT-induced G2/M cell cycle arrest by re-starting growth and repopulating after irradiation; iv) express cancer stem-like profile. Bioinformatic analyses, performed to assess the role of 41 cytokines after RT exposure and their network interactions, suggested TGF-β, MIF, CCL2, CXCL5, CXCL8 and CXCL12 as master regulators of cancer immune escape in RMS tumors.ConclusionsThese results suggest that RMS could sustain intrinsic and acquire radioresistance by different mechanisms and indicate potential targets for future combined radiosensitizing strategies.
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Project description:Pancreatic cancer remains the most devastating disease with worst prognosis. There is a pressing need to accelerate the drug discovery process to identify new effective drug candidates against pancreatic cancer. We have developed QSAR models for predicting promiscuous inhibitors using the pharmacological data. Our models achieved maximum Pearson correlation coefficient of 0.86, when evaluated on 10-fold cross-validation. Our models have also successfully validated the drug-to-oncogene relationship and further we used these models to screen FDA approved drugs and tested them in vitro. We have integrated these models in a webserver named as DiPCell, which will be useful for screening and designing novel promiscuous drug molecules. We have also identified the most and least effective drugs for pancreatic cancer cell lines. On the other side, we have identified resistant pancreatic cancer cell lines, which need investigative scanner on them to put light on resistant mechanism in pancreatic cancer.
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