Portrait of early-onset breast cancer in Brazilian patients: germline mutation screening of BRCA1, BRCA2 and TP53 genes and tumor expression profiling
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Renato Puga
PROVIDER: E-GEOD-37126 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Differentially expressed genes between BRCA1/BRCA2 negative and positive mutation driven-tumors.
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Project description:Only about 25% of familial breast cancer is explained by mutations in BRCA1 and BRCA2, fewer by moderate penetrance genes like P53, PTEN, CHEK2, ATM and PALB2 and an unknown fraction by common variants of genes with low penetrance. Evidence suggests that additional dominant breast cancer genes exist and these are referred to as BRCAX. Clinical presentation of families with highly increased incidence of breast cancer that are non-BRCA1/BRCA2, suggests dominant inheritance of such high penetrance breast cancer genes. Because cancer genes often confer a specific clinical presentation (e.g. age of onset, sex-ratio, tissue spectrum) it seems useful to initiate their discovery by such clinical criteria. An earlier linkage study of BRCAX / non-BRCA1/2 breast cancer families aimed to enrich for a common genetic defect by setting stringent inclusion criteria, failed to identify new breast cancer susceptibility loci. Motivated by results of BRCA1 and BRCA2 breast tumors that have characteristic genomic signatures (array-CGH 'phenotypes'), we present the largest dataset to date showing the genomic profiles of 58 BRCAX primary breast tumors by array-CGH and show by unsupervised hierarchical clustering that they form a heterogeneous group with 4 distinct subtypes that are different from (n = 48) sporadic controls. This provides a possible explanation for the lack of high LOD scores in linkage studies. The presence of more than one BRCAX sub-type suggests the existence of more than one BRCAX gene. We propose approaches that can be employed to stratify BRCAX families based on array-CGH data. 58 primary breast carcinomas from non-BRCA1/2 hereditary breast cancer families (HBC) compared to 48 sporadic tumors
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Project description:This data was used to determine levels of BRCA1 and BRCA2 in primary human leukemia samples. Samples were determined to be high BRCA1 and/or BRCA2 or low BRCA1 and/or BRAC2. This data was used to determine levels of BRCA1 and BRCA2 in primary human leukemia samples. Samples were determined to be high BRCA1 and/or BRCA2 or low BRCA1 and/or BRAC2.
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Project description:Pathogenic germline mutations in BRCA1 or BRCA2 are detected in less than one third of families with a strong history of breast cancer. It is therefore expected that mutations still remain undetected by currently used screening methods. In addition, a growing number of BRCA1/2 sequence variants of unclear pathogen significance are found in the families, constituting an increasing clinical challenge. New methods are therefore needed to improve the detection rate and aid the interpretation of the clinically uncertain variants. In this study we analyzed a series of 33 BRCA1, 22 BRCA2, and 128 sporadic tumors by RNA profiling to investigate the classification potential of RNA profiles to predict BRCA1/2 mutation status. We found that breast tumors from BRCA1 and BRCA2 mutation carriers display characteristic RNA expression patterns, allowing them to be distinguished from sporadic tumors. The majority of BRCA1 tumors were basal-like while BRCA2 tumors were mainly luminal B. Using RNA profiles, we were able to distinguish BRCA1 tumors from sporadic tumors among basal-like tumors with 83% accuracy and BRCA2 from sporadic tumors among luminal B tumors with 89% accuracy. Furthermore, subtype-specific BRCA1/2 gene signatures were successfully validated in two independent data sets with high accuracies. Although additional validation studies are required, indication of BRCA1/2 involvement (“BRCAness”) by RNA profiling could potentially be valuable as a tool for distinguishing pathogenic mutations from benign variants, for identification of undetected mutation carriers, and for selecting patients sensitive to new therapeutics such as PARP inhibitors. Gene expression profiling of 183 breast tumor samples. Breast tumors from hereditary breast cancer patients carrying a pathogenic BRCA1 (n=33) or BRCA2 (n=22) germ-line mutation were included in the study. Serving as a representative control group, primary breast tumor samples (n=128) were randomly selected. The study was conducted using Agilent-029949 Custom SurePrint G3 Human GE 8x60K Microarray platform. For cross-platform validation, a subset of the tumor samples (92 of the 183 samples) were analyzed by our in-house spotted microarray platform.
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Project description:Only about 25% of familial breast cancer is explained by mutations in BRCA1 and BRCA2, fewer by moderate penetrance genes like P53, PTEN, CHEK2, ATM and PALB2 and an unknown fraction by common variants of genes with low penetrance. Evidence suggests that additional dominant breast cancer genes exist and these are referred to as BRCAX. Clinical presentation of families with highly increased incidence of breast cancer that are non-BRCA1/BRCA2, suggests dominant inheritance of such high penetrance breast cancer genes. Because cancer genes often confer a specific clinical presentation (e.g. age of onset, sex-ratio, tissue spectrum) it seems useful to initiate their discovery by such clinical criteria. An earlier linkage study of BRCAX / non-BRCA1/2 breast cancer families aimed to enrich for a common genetic defect by setting stringent inclusion criteria, failed to identify new breast cancer susceptibility loci. Motivated by results of BRCA1 and BRCA2 breast tumors that have characteristic genomic signatures (array-CGH 'phenotypes'), we present the largest dataset to date showing the genomic profiles of 58 BRCAX primary breast tumors by array-CGH and show by unsupervised hierarchical clustering that they form a heterogeneous group with 4 distinct subtypes that are different from (n = 48) sporadic controls. This provides a possible explanation for the lack of high LOD scores in linkage studies. The presence of more than one BRCAX sub-type suggests the existence of more than one BRCAX gene. We propose approaches that can be employed to stratify BRCAX families based on array-CGH data.
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