Abstract

Highly penetrant variants of BRCA1/2 genes are involved in hereditary predisposition to breast and ovarian cancer. The detection of pathogenic BRCA variants has a considerable clinical impact, allowing appropriate cancer-risk management. However, a major drawback is represented by the identification of variants of uncertain significance (VUS). Many VUS potentially affect mRNA splicing, making transcript analysis an essential step for the definition of their pathogenicity. Here, we characterize the impact on splicing of ten BRCA1/2 variants. Aberrant splicing patterns were demonstrated for eight variants whose alternative transcripts were fully characterized. Different events were observed, including exon skipping, intron retention, and usage of de novo and cryptic splice sites. Transcripts with premature stop codons or in-frame loss of functionally important residues were generated. Partial/complete splicing effect and quantitative contribution of different isoforms were assessed, leading to variant classification according to Evidence-based Network for the Interpretation of Mutant Alleles (ENIGMA) consortium guidelines. Two variants could be classified as pathogenic and two as likely benign, while due to a partial splicing effect, six variants remained of uncertain significance. The association with an undefined tumor risk justifies caution in recommending aggressive risk-reduction treatments, but prevents the possibility of receiving personalized therapies with potential beneficial effect. This indicates the need for applying additional approaches for the analysis of variants resistant to classification by gene transcript analyses.

Highlights

  • Breast cancer (BC) represents a priority public health problem, being the most common cancer diagnosed in women worldwide and a leading cause of cancer deaths [1,2,3]

  • Complete/partial effect on splicing was established by the use of tag single nucleotide polymorphisms (SNPs), whenever possible, or, alternatively, by monoallelic minigene assays, leading to variant classification according to current guidelines (Figures 3 and 4) [37]

  • Consistent with in silico predictions, for two variants (c.302-5T>C and c.441+5A>G in BRCA1) a spliceogenic effect was not observed following patient mRNA analysis combined with methods preventing nonsense-mediated decay (NMD), or assessing allele-specific expression by tag-SNP analysis (Supplementary Figure S1)

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Summary

Introduction

Breast cancer (BC) represents a priority public health problem, being the most common cancer diagnosed in women worldwide and a leading cause of cancer deaths [1,2,3]. The most relevant predisposing factor is family history. 5–10% of BC cases are associated with a strong hereditary component and 15–25% of familial aggregations are due to mutations in the BRCA1 (MIM# 113705). BRCA2 (MIM# 600185) genes [4,5,6,7]. Recent estimates have assessed that women who inherit a mutation in BRCA1 have a chance of 72% (95% confidence interval (CI), 65–79%) of developing BC and of 44% (95% CI, 36–53%) of developing ovarian cancer (OC) in their lifetime. In BRCA2 mutation carriers the percentages are similar for BC (44%; 95% CI, 36–53%), but lower for OC (17%; 95% CI, 11–25%) [8]. BRCA gene mutations may predispose to the development of other cancers, such as endometrial, pancreatic, colorectal, gastric, and skin cancer [9,10]. Genetic testing is essential to identify at-risk individuals who can undergo paths aimed at ensuring early diagnosis and/or at reducing the risk of cancers, including prophylactic surgery (mastectomy and/or oophorectomy)

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