Unknown

Dataset Information

0

RNA analysis of cancer predisposing genes in formalin-fixed paraffin-embedded tissue determines aberrant splicing.


ABSTRACT: High-throughput sequencing efforts in molecular tumour diagnostics detect increasing numbers of novel variants, including variants predicted to affect splicing. In silico prediction tools can reliably predict the effect of variant disrupting canonical splice sites; however, experimental validation is required to confirm aberrant splicing. Here, we present RNA analysis performed for 13 canonical splice site variants predicted or known to result in splicing in the cancer predisposition genes MLH1, MSH2, MSH6, APC and BRCA1. Total nucleic acid was successfully isolated for 10 variants from eight formalin-fixed paraffin-embedded (FFPE) tumour tissues and two B-cell lines. Aberrant splicing was confirmed in all six variants known to result in splicing. Of one known variant in the B-cell line, aberrant splicing could only be detected after formalin fixation, which indicated that formalin fixation could possibly inhibit RNA degradation. Aberrant splicing was concluded in three of four predicted splice variants of uncertain significance, supporting their pathogenic effect. With this assay, somatic splice variants can be easily and rapidly analysed, enabling retrospective analysis to support the pathogenicity of variants predicted to result in splicing when only FFPE material is available.

SUBMITTER: Jansen AM 

PROVIDER: S-EPMC6057924 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications

RNA analysis of cancer predisposing genes in formalin-fixed paraffin-embedded tissue determines aberrant splicing.

Jansen Anne Ml AM   van der Klift Heleen M HM   Roos Marieke Ae MA   van Eendenburg Jaap Dh JD   Tops Carli Mj CM   Wijnen Juul T JT   Hes Frederik J FJ   Morreau Hans H   van Wezel Tom T  

European journal of human genetics : EJHG 20180430 8


High-throughput sequencing efforts in molecular tumour diagnostics detect increasing numbers of novel variants, including variants predicted to affect splicing. In silico prediction tools can reliably predict the effect of variant disrupting canonical splice sites; however, experimental validation is required to confirm aberrant splicing. Here, we present RNA analysis performed for 13 canonical splice site variants predicted or known to result in splicing in the cancer predisposition genes MLH1,  ...[more]

Similar Datasets

| S-EPMC2288605 | biostudies-literature
| S-EPMC2359756 | biostudies-literature
| S-EPMC7029400 | biostudies-literature
| S-EPMC7267832 | biostudies-literature
| S-EPMC5658167 | biostudies-literature
| S-EPMC7766537 | biostudies-literature
| S-EPMC8456741 | biostudies-literature
| S-EPMC11234047 | biostudies-literature
| S-EPMC10706203 | biostudies-literature
| S-EPMC3509826 | biostudies-literature