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Usefulness and Limitations of Comprehensive Characterization of mRNA Splicing Profiles in the Definition of the Clinical Relevance of BRCA1/2 Variants of Uncertain Significance.

Elisa GelliMara ColomboAnna Maria PintoGiovanna De VecchiClaudia FogliaSara AmitranoValeria MorbidoniValentina ImperatoreSiranoush ManoukianMargherita BaldassarriCaterina Lo RizzoLorenza CataniaElisa FrullantiEnrico TagliaficoLaura CortesiFederica SpaggiariMaria Antonietta MencarelliEva TrevissonPaolo RadiceAlessandra RenieriFrancesca Ariani
Published in: Cancers (2019)
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.
Keyphrases
  • copy number
  • genome wide
  • machine learning
  • deep learning
  • risk assessment
  • cystic fibrosis
  • mass spectrometry
  • dna methylation
  • climate change
  • genome wide identification