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Transcription profiling by array of human HeLa cells with M1775R and A1789T BRCA1 missense mutations

ABSTRACT: BRCA1 (breast cancer 1, early onset) mutations confer a high breast and ovarian cancer risk. Most of BRCA1 cancer-predisposing mutations originate truncated proteins, but missense mutations have also been detected in familial breast and ovarian cancer patients. These variants are rare and their role in cancer predisposition is often difficult to ascertain. Our purpose in the present work was to study the molecular mechanisms affected in human cells by two BRCA1 missense variants both located in the second BRCA1 BRCT domain, M1775R and A1789T. These variants were isolated from familial breast cancer patients and their role in the pathogenesis of breast cancer was also investigated by a study previously performed by our group in yeast cells. Here we present a microarray study to compare the expression profiles of HeLa cells transfected with these two variants and HeLa cells transfected with BRCA1 wild type. Data analysis was performed by evaluating three comparisons: M1775R versus wild-type (M1775RvsWT-contrast), A1789T versus wild-type (A1789TvsWT-contrast) and the mutated BRCT domain versus wild-type (MutvsWT-contrast), obtained by considering the two variants as a unique BRCT mutation. We found 173 differentially expressed genes in MutvsWT-contrast, 201 in M1775RvsWT-contrast and 313 in A1789TvsWT-contrast. Our results showed that the considered BRCA1 variants had an impact on cell processes often deregulated in cancerogenesis, such as cell cycle progression and DNA damage response and repair. Thus, our study further supports the putative role in the pathogenesis of cancer of the M1775R and A1789T BRCA1 variants from a molecular point of view.

ORGANISM(S): Homo sapiens

SUBMITTER: Iofrida C

PROVIDER: S-ECPF-MTAB-761 | biostudies-other | 2012

REPOSITORIES: biostudies-other

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Project description:"Deficiencies in the ATM gene are the underlying cause for ataxia telangiectasia, a congenital syndrome characterized by neurological, motor and immunological defects, as well as a predisposition to cancer risks. MicroRNAs (miRNAs) are small regulators of post-transcriptional gene expression and a useful tool for cancer diagnosis, staging, and prediction of therapeutic responses to clinical regimens. In particular, miRNAs have been used to develop signatures for breast cancer profiling. We are interested in the consequences of ATM deficiency on miRNA expression in breast epithelial cells and the potential contribution to cancer predisposition. In this study we investigate the effects of ATM loss on the miRNA expression and related gene expression changes in normal human mammary epithelial cells (HME-CC). We have identified 81 significantly differently expressed miRNAs in the ATM-deficient HME-CCs using small RNA sequencing. Many of these differentially expressed miRNAs have been described and implicated in tumorigenesis and proliferation. These changes include down-regulation of tumor suppressor miRNAs, such as hsa-miR-29c and hsa-miR-16, as well as the over-expression of pro-oncogenic miRNAs hsa-miR-93 and hsa-mir-221. All 81 miRNAs were combined with genome wide gene expression profiles to investigate possible targets of miRNA regulation. We identified messenger RNA (mRNA) targets of these miRNAs that were also significantly regulated after the depletion of ATM. Predicted targets included many genes implicated in cancer formation and progression, including SOCS1 and the proto-oncogene MAF. Integrated analysis of miRNA and mRNA expression allows us to build a more complete understanding of the pathways and networks involved in the breast cancer predisposition observed in individuals deficient in ATM. This study highlights miRNA and predicted mRNA target expression changes in ATM-deficient HME-CCs and suggests a mechanism for the breast cancer-prone phenotype seen in ATM deficient cells and patients. Additionally, this study provides preliminary data for defining miRNA profiles that may be used prognostic biomarkers for breast cancer predisposition. Examination of small RNA population in human mammary epithelial cell lines. Each condition was preformed in triplicate. This submission represents the transcriptome component of study."

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Transcription profiling by array of human HeLa cells with M1775R and A1789T BRCA1 missense mutations

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