This is the first study in sLS patients to include the entire genomic sequence of CRC susceptibility genes. An underlying somatic or germline MMR gene defect was identified in ten of 34 sLS... Show moreThis is the first study in sLS patients to include the entire genomic sequence of CRC susceptibility genes. An underlying somatic or germline MMR gene defect was identified in ten of 34 sLS patients (29%). In the remaining sLS patients, the underlying genetic defect explaining the MMR deficiency in their tumors might be found outside the genomic regions harboring the MMR and other known CRC susceptibility genes. Show less
Suerink, M.; Klift, H.M. van der; Broeke, S.W. ten; Dekkers, O.M.; Bernstein, I.; Munar, G.C.; ... ; Nielsen, M. 2016
Approximately 40% of colorectal cancer (CRC) families with a diagnosis of hereditary nonpolyposis CRC on the basis of clinical criteria are not a consequence of mismatch repair (MMR) deficiency.... Show moreApproximately 40% of colorectal cancer (CRC) families with a diagnosis of hereditary nonpolyposis CRC on the basis of clinical criteria are not a consequence of mismatch repair (MMR) deficiency. Such families provide supporting evidence for the existence of a hitherto unidentified highly penetrant gene mutation. To gain further understanding of MMR-competent familial colorectal cancer (FCC), we studied seven large families with an unexplained predisposition for CRC to identify genetic regions that could harbor CRC risk factors. First, we conducted a genome-wide linkage scan using 10K single-nucleotide polymorphism (SNP) arrays to search for disease loci. Second, we studied the genomic profiles of the tumors of affected family members to identify commonly altered genomic regions likely to harbor tumor suppressor genes. Finally, we studied the possible role of recently identified low-risk variants in the familial aggregation of CRC in these families. Linkage analysis did not reveal clear regions of linkage to CRC. However, our results provide support linkage to 3q, a region that has previously been linked to CRC susceptibility. Tumor profiling did not reveal any genomic regions commonly targeted in the tumors studied here. Overall, the genomic profiles of the tumors show some resemblance to sporadic CRC, but additional aberrations were also present. Furthermore, the FCC families did not appear to have an enrichment of low-risk CRC susceptibility loci. These data suggest that factors other than a highly penetrant risk factor, such as low or moderate-penetrance risk factors, may explain the increased cancer risk in a subset of familial CRCs. (C) 2010 Wiley-Liss, Inc. Show less
Heterozygous mutations in PMS2 are involved in Lynch syndrome, whereas biallelic mutations are found in Constitutional mismatch repair-deficiency syndrome patients. Mutation detection is... Show moreHeterozygous mutations in PMS2 are involved in Lynch syndrome, whereas biallelic mutations are found in Constitutional mismatch repair-deficiency syndrome patients. Mutation detection is complicated by the occurrence of sequence exchange events between the duplicated regions of PMS2 and PMS2CL. We investigated the frequency of such events with a nonspecific polymerase chain reaction (PCR) strategy, coamplifying both PMS2 and PMS2CL sequences. This allowed us to score ratios between gene and pseudogene-specific nucleotides at 29 PSV sites from exon 11 to the end of the gene. We found sequence transfer at all investigated PSVs from intron 12 to the 3' end of the gene in 4 to 52% of DNA samples. Overall, sequence exchange between PMS2 and PMS2CL was observed in 69% (83/120) of individuals. We demonstrate that mutation scanning with PMS2-specific PCR primers and MLPA probes, designed on PSVs, in the 3' duplicated region is unreliable, and present an RNA-based mutation detection strategy to improve reliability. Using this strategy, we found 19 different putative pathogenic PMS2 mutations. Four of these (21%) are lying in the region with frequent sequence transfer and are missed or called incorrectly as homozygous with several PSV-based mutation detection methods. Hum Mutat 31:578-587, 2010. (C) 2010 Wiley-Liss, Inc. Show less
