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DNA methylation variations in familial female and male breast cancer

ABSTRACT: About 25% of familial breast cancer (BC) is attributed to germline mutations of BRCA1 and BRCA2 genes while the rest of patients are included in the BRCAX group. BC also affects men with a worldwide incidence of 1%. The epigenetic alterations, including those DNA methylation, have been rarely studied in the male breast cancer (MBC) on a genome-wide level. The aim of the current work was to study the global DNA methylation profiles of BC patients to look for differences between familial female breast cancer (FBC) and MBC and according to BRCA1, BRCA2 and BRCAX mutation status. The genomic DNA from FFPE tissues of 17 female and 7 male patients with BC was subjected to methylated DNA immunoprecipitation (MeDIP) and hybridized on human promoter microarrays. The comparison between FBC and MBC showed 2846 differentially methylated regions (DMRs) corresponding to 2486 distinct annotated genes. The gene ontology enrichment analysis revealdrelevant molecular function terms such as the GTPase superfamily genes (in particular the GTPase Rho GAP/GEF and GTPase RAB) and cellular component terms associated to cytoskeletal architecture such as “cytoskeletal part”, “keratin filament”, “intermediate filament". By considering only FBC, several cancer-associated pathways were the most enriched KEGG pathways of differentially methylated genes between BRCA2 and BRCAX or BRCA1+BRCAX groups. The comparison between BRCA1 group vs BRCA2+BRCAX group displayed the enriched molecular function term “cytoskeletal protein binding”. Finally, the functional annotation of differentially methylated genes between BRCAX and BRCA1+BRCA2 groups indicated that the most enriched molecular function terms were related to GTPase activity. In summary, this is the first study that compares the global DNA methylation profile of familial FBC and MBC and the results may provide useful insights into the epigenomic subtyping of breast cancer and shed light on a possible new molecular mechanisms underlying BC carcinogenesis.

ORGANISM(S): Homo sapiens

PROVIDER: GSE153636 | GEO | 2020/07/02

REPOSITORIES: GEO

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Project description:Use of DNA damaging agents and RNA pooling to assess expression profiles associated with BRCA1 and BRCA2 mutation status in familial breast cancer patients Background: A large number of rare sequence variants of unknown clinical significance have been identified in the breast cancer susceptibility genes, BRCA1 and BRCA2. Determining the functional effect of these variants as well as their role in breast cancer susceptibility can be challenging using current classification methods. Methodology/Principal Findings: To identify predictors of pathogenic mutation status in familial breast cancer patients, we explored the use of gene expression arrays to assess the effect of two DNA damaging agents (irradiation and mitomycin C) on cellular response in relation to BRCA1 and BRCA2 mutation status. A range of regimes were used to treat 27 lymphoblastoid cell-lines (LCLs) derived from affected women in high-risk breast cancer families (nine BRCA1, nine BRCA2, and nine non-BRCA1/2 or BRCAX individuals) and nine LCLs from healthy individuals. Using an RNA pooling strategy, we found that treating LCLs with 1.2 μM mitomycin C and measuring the gene expression profiles 1 hour post-treatment had the greatest potential to discriminate BRCA1, BRCA2 and BRCAX mutation status. A classifier was built using the expression profile of nine QRT-PCR validated genes that were associated with BRCA1, BRCA2 and BRCAX status in RNA pools. These nine genes could distinguish BRCA1 from BRCA2 carriers with 83% accuracy in individual samples, but three-way analysis for BRCA1, BRCA2 and BRCAX had a maximum of 59% prediction accuracy. Conclusions/Significance: Our results suggest that, compared to BRCA1 and BRCA2 mutation carriers, non-BRCA1/2 (BRCAX) individuals are genetically heterogeneous. This study also demonstrates the effectiveness of RNA pools to compare the expression profiles of cell-lines from BRCA1, BRCA2 and BRCAX cases after treatment with irradiation and mitomycin C as a method to prioritize treatment regimes for detailed downstream expression analysis.

Project description:Approximately 25% of hereditary breast cancer cases associated with a strong familial history can be explained by mutations in BRCA1 or BRCA2 and other lower penetrance genes. The remaining high-risk families could be classified as BRCAX (non-BRCA1/2) families, in which no penetrant mutation has been found until now. Gene expression involving alternative splicing represents a well-known mechanism regulating the expression of multiple transcripts encoded by individual genes, which could be involved in cancer development. Thus using RNA-seq methodology, the analysis of transcriptome in immortalized lymphoblastoid cell lines of high-risk breast cancer individuals could reveal transcripts implicated in breast cancer susceptibility and development. RNA was extracted from immortalized lymphoblastoid cell lines of 117 women (affected and unaffected) coming from BRCA1, BRCA2 and BRCAX families. Anova analysis revealed a total of 95 transcripts corresponding to 85 different genes differentially expressed (Bonferroni corrected p-value <0.01) between those groups. Hierarchical clustering allowed distinctive subgrouping of BRCA1/2 subgroups from BRCAX individuals, without regard for the cancer status. We found enrichment for pathways in signaling cascades including mTOR and EIF2-related pathways. No transcripts were differentially expressed between BRCA1 and BRCA2 individuals, however out of 95 transcripts, 67 could discriminate BRCAX from combination of BRCA1 and BRCA2 individuals. On the other hand, 28 transcripts could discriminate affected from unaffected BRCAX individuals. These BRCAX-associated transcripts demonstrated enrichment in Telomere Extension by Telomerase and Double-Strand Break Repair by Non-Homologous End Joining mechanisms. To our knowledge, this represents the first study identifying transcripts differentially expressed in immortalized lymphoblastoid cell lines coming from the major classes of mutation-related breast cancer subgroups, namely BRCA1, BRCA2 and BRCAX. Moreover, some transcripts could discriminate affected from unaffected BRCAX individuals, which could represent potential therapeutic targets for breast cancer treatment.

Project description:Male breast cancer (MBC) is extremely rare and poorly characterized on the molecular level. Using high-resolution genomic data, we aimed to characterize MBC by genomic imbalances and to compare it with female breast cancer (FBC), and further to investigate whether the genomic profiles hold any prognostic infor- mation. Fifty-six fresh frozen MBC tumors were analyzed using high-resolution tiling BAC arrays. Significant regions in common between cases were assessed using Genomic Identification of Significant Targets in Cancer (GISTIC) analysis. A publicly available genomic data set of 359 FBC tumors was used for reference purposes. The data revealed a broad pattern of aberrations, confirming that MBC is a heterogeneous tumor type. Genomic gains were more common in MBC than in FBC and often involved whole chromosome arms, while losses of genomic material were less frequent. The most common aberrations were similar between the genders, but high-level amplifications were more common in FBC. We identified two genomic subgroups among MBCs; male-complex and male-simple. The male-complex subgroup displayed striking similarities with the previously reported luminal-complex FBC sub- group, while the male-simple subgroup seems to represent a new subgroup of breast cancer occurring only in men. There are many similarities between FBC and MBC with respect to genomic imbalances, but there are also distinct differ- ences as revealed by high-resolution genomic profiling. MBC can be divided into two comprehensive genomic subgroups, which may be of prognostic value. The male- simple subgroup appears notably different from any geno- mic subgroup so far defined in FBC. Male breast cancer (MBC) is extremely rare and poorly characterized on the molecular level. Using high-resolution genomic data, we aimed to characterize MBC by genomic imbalances and to compare it with female breast cancer (FBC), and further to investigate whether the genomic profiles hold any prognostic infor- mation. Fifty-six fresh frozen MBC tumors were analyzed using high-resolution tiling BAC arrays. Significant regions in common between cases were assessed using Genomic Identification of Significant Targets in Cancer (GISTIC) analysis. A publicly available genomic data set of 359 FBC tumors was used for reference purposes. The data revealed a broad pattern of aberrations, confirming that MBC is a heterogeneous tumor type. Genomic gains were more common in MBC than in FBC and often involved whole chromosome arms, while losses of genomic material were less frequent. The most common aberrations were similar between the genders, but high-level amplifications were more common in FBC. We identified two genomic subgroups among MBCs; male-complex and male-simple. The male-complex subgroup displayed striking similarities with the previously reported luminal-complex FBC sub- group, while the male-simple subgroup seems to represent a new subgroup of breast cancer occurring only in men. There are many similarities between FBC and MBC with respect to genomic imbalances, but there are also distinct differ- ences as revealed by high-resolution genomic profiling. MBC can be divided into two comprehensive genomic subgroups, which may be of prognostic value. The male- simple subgroup appears notably different from any geno- mic subgroup so far defined in FBC. Tumor cellularity was determined on H&E-stained sections and only tumors with high tumor cell content were included. DNA was extracted from fresh frozen tissue using a modification of a back-extraction protocol from the organic phase of the Qiagen Lipid mini RNA kit (Qiagen, Valencia, CA) as follows: 1 M Tris-buffer containing 4 M Guanidine Thiocyanate and 50 mM Sodium Citrate, followed by glycogen precipitation. DNA quality was assessed with a BioAnalyzer. Sufficient good quality DNA from 56 fresh frozen MBC tumors was available for high-resolution tiling BAC aCGH. BAC arrays, containing about 32,000 BAC clones mapped to the UCSC Human Genome build 17, were produced at the SCIBLU Genomics Resource Center, Lund University, Sweden. The aCGH data were normalized using PopLowess. Circular binary segmentation (CBS) was used for breakpoint analysis with an a of 0.01 and segments containing at least four probes were used in subsequent analyses.

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DNA methylation variations in familial female and male breast cancer

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