Molecular Genetics & Genomic Medicine · 2020 · 16 citations · 35 references
MedicineMolecular GeneticsOncologyCancer GeneticsMolecular OncologyNeoplasiaCancer GenomicsCancer Molecular PathologyCancer ProteomicsColorectal CancerGermline Cancer PredispositionGermline Cancer SusceptibilityColorectal Cancer PredispositionImmunohistochemical DetectionImmunohistochemical MarkersImmunohistochemical StainingPathogenic Germline VariantsPole MutationsProtein Expression LevelsTargeted Capture Sequencing
BACKGROUND: Colorectal cancer (CRC) is a major contributor to morbidity and mortality related to cancer. Only ~5% of all CRCs occur as a result of pathogenic variants in well-defined CRC predisposing genes. The frequency and effect of exonuclease domain pathogenic variants of POLE and POLD1 genes in Middle Eastern CRCs is still unknown. METHODS: Targeted capture sequencing and Sanger sequencing technologies were employed to investigate the germline exonuclease domain pathogenic variants of POLE and POLD1 in Middle Eastern CRCs. Immunohistochemical analysis of POLE and POLD1 was performed to look for associations between protein expression and clinico-pathological characteristics. RESULTS: Five damaging or possibly damaging variants (0.44%) were detected in 1,135 CRC cases, four in POLE gene (0.35%, 4/1,135) and one (0.1%, 1/1,135) in POLD1 gene. Furthermore, low POLE protein expression was identified in 38.9% (417/1071) cases and a significant association with lymph node involvement (p = .0184) and grade 3 tumors (p = .0139) was observed. Whereas, low POLD1 expression was observed in 51.9% (555/1069) of cases and was significantly associated with adenocarcinoma histology (p = .0164), larger tumor size (T3 and T4 tumors; p = .0012), and stage III tumors (p = .0341). CONCLUSION: POLE and POLD1 exonuclease domain pathogenic variants frequency in CRC cases was very low and these exonuclease domain pathogenic variants might be rare causative events of CRC in the Middle East. POLE and POLD1 can be included in multi-gene panels to screen CRC patients.
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Fast and accurate short read alignment with Burrows–Wheeler transform
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