MicroRNA expression signatures for the prediction of BRCA1/2 mutation-associated hereditary breast cancer in paraffin-embedded formalin-fixed breast tumors.

Screening for germline mutations in breast cancer-associated genes BRCA1 and BRCA2 is indicated for patients with breast cancer from high-risk breast cancer families and influences both treatment options and clinical management. However, only 25% of selected patients test positive for BRCA1/2 mutation, indicating that additional diagnostic biomarkers are necessary. We analyzed 124 formalin-fixed paraffin-embedded (FFPE) tumor samples from patients with hereditary (104) and sporadic (20) invasive breast cancer, divided into two series (A and B). Microarray expression profiling of 829 human miRNAs was performed on 76 samples (Series A), and bioinformatics tool Prophet was used to develop and test a microarray classifier. Samples were stratified into a training set (n = 38) for microarray classifier generation and a test set (n = 38) for signature validation. A 35-miRNA microarray classifier was generated for the prediction of BRCA1/2 mutation status with a reported 95% (95% CI = 0.88-1.0) and 92% (95% CI: 0.84-1.0) accuracy in the training and the test set, respectively. Differential expression of 12 miRNAs between BRCA1/2 mutation carriers versus noncarriers was validated by qPCR in an independent tumor series B (n = 48). Logistic regression model based on the expression of six miRNAs (miR-142-3p, miR-505*, miR-1248, miR-181a-2*, miR-25* and miR-340*) discriminated between tumors from BRCA1/2 mutation carriers and noncarriers with 92% (95% CI: 0.84-0.99) accuracy. In conclusion, we identified miRNA expression signatures predictive of BRCA1/2 mutation status in routinely available FFPE breast tumor samples, which may be useful to complement current patient selection criteria for gene testing by identifying individuals with high likelihood of being BRCA1/2 mutation carriers.

RAD51C mutation screening in high-risk patients from Serbian hereditary breast/ovarian cancer families.

BACKGROUND: In 2010 an important finding was published showing that heterozygous mutations in RAD51C were highly penetrant and were able to confer an increased risk for breast and ovarian cancers. The role of possible third high penetrance breast cancer susceptibility gene was assigned to RAD51C. OBJECTIVE: Because of its rising importance in breast cancer development and the lack of information about RAD51C in Slavic populations, our goal was to identify potential population specific mutations in this gene in order to determine more detailed genetic screening strategy and breast cancer risk assessment. METHODS: The study included 55 females from Serbian hereditary breast/ovarian cancer families negative for sequence alterations and large genomic rearrangements in BRCA1/2 genes. Whole coding region and exon-intron boundaries of RAD51C were analyzed by dHPLC. All mutations were confirmed by Sanger sequencing. SIFT and Polyphen were used to predict possible impact of non-synonymous variants. RESULTS: We found 5 variants in RAD51C including two missense, one intronic, one in the 5'UTR and one variant in the promoter region of the gene. Three detected variants are common - c.1-118G>A (rs16943176, MAF = 0,203); c.1-26C>T (rs12946397, MAF = 0,207) and c.904+34T>C (rs28363318, MAF = 0,186). We detected two missense variants, c.790G>A (p.Gly264Ser) in exon 5 and c.859A>G (p.Thr287Ala) in exon 6. Both of them were previously shown to exhibit reduced protein function but their contribution to cancer risk is still unknown. CONCLUSIONS: Although the initial reports implied that RAD51C might be promising candidate for next high penetrance breast cancer susceptibility gene, lack of confirmation suggested that RAD51C mutations are not as common as expected. Our study did not reveal truncating mutations in RAD51C suggesting that other breast cancer susceptibility genes may account for the increased susceptibility in our cohort of high-risk BRCA1/2 negative families.

miRNA expression profiling of formalin-fixed paraffin-embedded (FFPE) hereditary breast tumors.

Hereditary breast cancer constitutes only 5-10% of all breast cancer cases and is characterized by strong family history of breast and/or other associated cancer types. Only ~ 25% of hereditary breast cancer cases carry a mutation in BRCA1 or BRCA2 gene, while mutations in other rare high and moderate-risk genes and common low penetrance variants may account for additional 20% of the cases. Thus the majority of cases are still unaccounted for and designated as BRCAX tumors. MicroRNAs are small non-coding RNAs that play important roles as regulators of gene expression and are deregulated in cancer. To characterize hereditary breast tumors based on their miRNA expression profiles we performed global microarray miRNA expression profiling on a retrospective cohort of 80 FFPE breast tissues, including 66 hereditary breast tumors (13 BRCA1, 10 BRCA2 and 43 BRCAX), 10 sporadic breast carcinomas and 4 normal breast tissues, using Exiqon miRCURY LNA™ microRNA Array v.11.0. Here we describe in detail the miRNA microarray expression data and tumor samples used for the study of BRCAX tumor heterogeneity (Tanic et al., 2013) and biomarkers associated with positive BRCA1/2 mutation status (Tanic et al., 2014). Additionally, we provide the R code for data preprocessing and quality control.