Gene expression and methylation profile of breast cancer cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Di Cello F
PROVIDER: S-ECPF-GEOD-44838 | biostudies-other | 2013
REPOSITORIES: biostudies-other
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Project description:We compared the gene expression profile of 26 breast cancer cell lines to identify variations associated with different phenotypes and molecular subtype. The panel includes 13 estrogen receptor negative (ER-) and 13 ER+ cell lines. Four of the ER- cell lines and 5 of the ER+ cell lines are HER2 positive. We have used 2-color gene expression arrays for two separate studies. The one described here compares the intensities of one color channel across 26 cell lines, as normalized signal intensities. The second color channel is not analyzed here and will be used in a separate study.
| S-ECPF-GEOD-44836 | biostudies-other
Project description:Most of the breast cancer samples used in clinical research contain multiple cell types other than epithelial cells alone. The non-epithelial cell types have have a substantial effect on the gene expression-profile, which is used to define molecular subtypes of the tumours. The purpose of this data set is to retrieve gene-expression profile within tumour epithelial cells. We collected 9 breast cancer epithelial cell lines and 5 tumour sampes from which epithelial cells were sorted and enriched using BerEp4 antibody coated beads. We profiled the mRNA expression level of these samples and classified probe sets into epithelial genes which were those genes with present calls in at least 50% of the samples. Then we derived an 23-gene signature based on only the epithelial genes to stratify breast cancer. Gene-expression profile analysis of 9 breast cancer epithelial cell lines and 5 tumour epithelium samples purified using BerEp4 antibody coated beads.
| S-ECPF-GEOD-23640 | biostudies-other
Project description:BackgroundCirculating tumor cells (CTCs) have been associated with prognosis especially in breast cancer and have been proposed as a liquid biopsy for repeated follow up examinations. Molecular characterization of CTCs is difficult to address since they are very rare and the amount of available sample is very limited.MethodsWe quantified by RT-qPCR CK-19, MAGE-A3, HER-2, TWIST1, hTERT α+β+, and mammaglobin gene transcripts in immunomagnetically positively selected CTCs from 92 breast cancer patients, and 28 healthy individuals. We also compared our results with the CellSearch system in 33 of these patients with early breast cancer.ResultsRT-qPCR is highly sensitive and specific and can detect the expression of each individual gene at the one cell level. None of the genes tested was detected in the group of healthy donors. In 66 operable breast cancer patients, CK-19 was detected in 42.4%, HER-2 in 13.6%, MAGE-A3 in 21.2%, hMAM in 13.6%, TWIST-1 in 42.4%, and hTERT α+β+ in 10.2%. In 26 patients with verified metastasis, CK-19 was detected in 53.8%, HER-2 in 19.2%, MAGE-A3 in 15.4%, hMAM in 30.8%, TWIST-1 in 38.5% and hTERT α+β+in 19.2%. Our preliminary data on the comparison between RT-qPCR and CellSearch in 33 early breast cancer patients showed that RT-qPCR gives more positive results in respect to CellSearch.ConclusionsMolecular characterization of CTCs has revealed a remarkable heterogeneity of gene expression between breast cancer patients. In a small percentage of patients, CTCs were positive for all six genes tested, while in some patients only one of these genes was expressed. The clinical significance of these findings in early breast cancer remains to be elucidated when the clinical outcome for these patients is known.
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Project description:Gene expression profile in breast cancer cells
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Project description:Our previously published data link P-selectin-reactive chondroitin sulfate structures on the surface of breast cancer cells to metastatic behavior of cells. We have shown that a particular sulfation pattern mediated by the expression of carbohydrate (chondroitin 4) sulfotransferase-11 (CHST11) correlates with P-selectin binding and aggressiveness of human breast cancer cell lines. The present study was performed to evaluate the prognostic value of CHST11 expression and determine whether aberrant DNA methylation controls CHST11 expression in breast cancer. Publicly available datasets were used to examine the association of CHST11 expression to aggressiveness and progression of breast cancer. Methylation status was analyzed using bisulfite genomic sequencing. 5-aza-2'-deoxycytidine (5AzadC) was used for DNA demethylation. Reduced representation bisulfite sequencing was performed in the CpG island of CHST11 with a minimum coverage of 10. Quantitative real-time RT-PCR was employed to confirm the expression profile of CHST11 in breast cancer cell lines. Flow cytometry was also used to confirm the expression of the CHST11 product, chondroitin sulfate A (CS-A). The expression of CHST11 was significantly higher in basal-like and Her2-amplified cell lines compared to luminal cell lines. CHST11 was also highly expressed in cancer tissues compared to normal tissues and the expression levels were significantly associated with tumor progression. We observed very low levels of DNA methylation in a CpG island of CHST11 in basal-like cells but very high levels in the same region in luminal cells. Treatment of MCF7 cells, a luminal cell line with very low expression of CHST11, with 5AzadC increased the expression of CHST11 and its immediate product, CS-A, in a dose-dependent manner. These results suggest that CHST11 may play a direct role in progression of breast cancer and that its expression is controlled by DNA methylation. Therefore, in addition to CHST11 mRNA levels, the methylation status of this gene also has potential as a prognostic biomarker.
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Project description:Transcription factors (TFs) play a crucial role in diverse cellular physiology by controlling down-stream target genes. It has been well recognized that TFs are attractive target for treating human cancer since transcriptional activity or gene expression level of TFs can be directly modulated. To explore which TF functions as survival factor in human breast cancer, we applied gene expression data sets for survival analysis. We identified that FOXM1 is a potent oncogenic survival factor out of eleven TFs. Loss of FOXM1 function leads to breast cancer cells more sensitized to Doxorubicin (Dox). To investigate how FOXM1 sensitizes cancer cell in the presence of Dox, we carried out gene expression array experiment to monitor how down-stream target genes are changed by FOXM1. MDA-MB-231 cells were incubated with siLuc or siFOXM1. Thirty six hours later, cells were incubated with Dox (5micro mol) for 36 hrs. 3 siLuc., 3 siFOXM1, 3 siLuc and Dox treatment, 3 siFOXM1 and Dox treatment
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Project description:This SuperSeries is composed of the SubSeries listed below.
2013-07-12 | GSE44838 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2013-07-12 | E-GEOD-44838 | biostudies-arrayexpress
Project description:We compared the gene methylation profile of 26 breast cancer cell lines to identify variations associated with different phenotypes and molecular subtype. The panel includes 13 estrogen receptor negative (ER-) and 13 ER+ cell lines. Four of the ER- cell lines and 5 of the ER+ cell lines are HER2 positive.
2013-07-12 | GSE44837 | GEO
Project description:We compared the gene methylation profile of 26 breast cancer cell lines to identify variations associated with different phenotypes and molecular subtype. The panel includes 13 estrogen receptor negative (ER-) and 13 ER+ cell lines. Four of the ER- cell lines and 5 of the ER+ cell lines are HER2 positive. Bisulphite converted DNA from the 26 samples was hybridised to the Illumina Infinium Human Methylation450 Beadchip.
2013-07-12 | E-GEOD-44837 | biostudies-arrayexpress