4.7 Article

A new strategy to screen MMR genes in Lynch Syndrome: HA-CAE, MLPA and RT-PCR

Journal

EUROPEAN JOURNAL OF CANCER
Volume 45, Issue 8, Pages 1485-1493

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.ejca.2009.01.030

Keywords

HNPCC; MMR genes; HA-CAE; MLPA; RT-PCR

Categories

Funding

  1. Regional Government of Castilla
  2. Leon (Spain)

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Aims: Hereditary non-polyposis colon cancer (HNPCC) is an autosomal dominant disorder that is genetically heterogeneous because of underlying mutations in mismatch repair (MMR) genes, primarily MLH1, MSH2 and MSH6. One challenge to correctly diagnose HNPCC is that the large size of the causative genes makes identification of mutations both labour intensive and expensive. Methods: Our heteroduplex analysis by capillary array electrophoresis (HA-CAE) method, previously developed to increase the throughput and allow other multi-exon genes to be scanned, has been adapted for MMR genes. The altered peak patterns were then sequenced. Furthermore, the mutational scanning was completed using the Multiplex Ligation-Dependent Probe Amplification (MLPA) test in all negative HA-CAE cases, and these results were confirmed by RT-PCR. Results: We studied 216 individuals belonging to 100 unrelated families that met the Amsterdam I/II criteria for HNPCC. We detected 40 different variants that are classified as follows: 8 (20%) deleterious mutation, 8 (20%) unknown pathogenic significance variants and 24 (60%) coding and intronic sequence variants. Results: Pathogenic mutations were detected in 12% of the families and about 42% of these had a deletion variant. Unknown pathogenic significance variants (UVs) affected 13% of the families. We also found 12.5% of novel polymorphisms in the rest of the variants. Concluding: In short, using a combined method that includes HA-CAE, MLPA and RT-PCR, it is possible to detect the entire mutational spectrum of MMR genes. Twenty percent of the mutations found in the three genes have not been reported before. Concluding: Relatives at risk will be offered predictive molecular analysis with potential exclusion of non-carriers of mutations. (C) 2009 Elsevier Ltd. All rights reserved.

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