Reference ranges for select elements and metals in healthy biomatrices

Abstract

Background and aim Hereditary cancer syndromes account for 6–10% of all colorectal cancer (CRC) cases and 20% of early-onset CRC. Identifying novel pathogenic germline variants can impact genetic testing, counseling, and surveillance. This study aimed to determine the prevalence of germline variants associated with hereditary CRC in the Iranian population.

Methods Whole exome sequencing (WES) was conducted on DNA from 101 patients in the Iranian Hereditary Colorectal Cancer Registry (IHCCR). The cohort included 63 high-risk Lynch Syndrome (LS) patients and 38 colorectal polyposis patients. Germline variants and phenotype spectrum were assessed. Relatives of individuals with the mutations received counseling and cascade testing. Gene ontology and protein-protein interaction (PPI) analyses were conducted to elucidate gene roles on protein function.

Results Pathogenic/likely pathogenic (P/LP) variants were identified in Lynch-related genes in 36.51% of patients. P/LP variants in non-Lynch genes (ATM, FH (mono-allelic), MSH3, PMS1, and TP53) were identified in 26.98% of patients. Among polyposis patients, 50% had P/LP variants in the APC gene, and 15.79% had P/LP variants in the MUTYH gene. Additionally, 7.89% carried P/LP variants in non-FAP/MAP genes (BLM, BRCA2, and PTEN). MLH1 variants were most common in exons 10 and 18, MSH2 in exon 12, and APC gene in exon 16. Cascade testing identified 50% of the tested relatives (40/80). Topology analysis of the protein-protein interaction networks in high-risk LS cases highlighted stronger connections among nodes for genes such as TP53, ATM, POLD1, CDH1, MUTYH, WRN, NOTCH1, SMAD4, ERCC4, ERCC1, and MSH3. These genes were associated with high penetrance in CRC. The protein-protein interaction analyses of polyposis patients indicated that genes like POLE, MSH6, MSH2, BRCA2, BRCA1, MLH1, TOPBP1, BLM, RAD50, MUTYH, MSH3, MLH3, PTEN, BRIP1, and POLK had a higher degree value and were also associated with high penetrance. Gene ontology and protein-protein interaction (PPI) analysis showed that some of the top-scoring non-Lynch genes were TP53, ATM, POLD1, CDH1, MUTYH, WRN, NOTCH1, SMAD4, ERCC4, ERCC1, and MSH3.