Almuzzaini Bader, Alghamdi Jahad, Alomani Alhanouf, AlGhamdi Saleh, Alsharm Abdullah A, Alshieban Saeed, Sayed Ahood, Alhejaily Abdulmohsen G, Aljaser Feda S, Abudawood Manal, Almajed Faisal, Samman Abdulhadi, Balwi Mohammed A Al, Aziz Mohammad Azhar
King Abdullah International Medical Research Center, Medical Genomics Research Department, Ministry of National Guard Health Affairs, King Saud Bin Abdulaziz University for Health Sciences, Riyadh 11481, Saudi Arabia.
King Abdullah International Medical Research Center, Saudi Biobank, King Saud Bin Abdulaziz University for Health Sciences, Ministry of National Guard Health Affairs, Riyadh 11481, Saudi Arabia.
J Pers Med. 2021 Jun 9;11(6):535. doi: 10.3390/jpm11060535.
Biomarker discovery would be an important tool in advancing and utilizing the concept of precision and personalized medicine in the clinic. Discovery of novel variants in local population provides confident targets for developing biomarkers for personalized medicine. We identified the need to generate high-quality sequencing data from local colorectal cancer patients and understand the pattern of occurrence of variants. In this report, we used archived samples from Saudi Arabia and used the AmpliSeq comprehensive cancer panel to identify novel somatic variants. We report a comprehensive analysis of next-generation sequencing results with a coverage of >300X. We identified 466 novel variants which were previously unreported in COSMIC and ICGC databases. We analyzed the genes associated with these variants in terms of their frequency of occurrence, probable pathogenicity, and clinicopathological features. Among pathogenic somatic variants, 174 were identified for the first time in the large intestine. APC, RET, and EGFR genes were most frequently mutated. A higher number of variants were identified in the left colon. Occurrence of variants in ERBB2 was significantly correlated with those of EGFR and ATR genes. Network analyses of the identified genes provide functional perspective of the identified genes and suggest affected pathways and probable biomarker candidates. This report lays the ground work for biomarker discovery and identification of driver gene mutations in local population.
生物标志物发现将成为在临床中推进和应用精准医学与个性化医学概念的一项重要工具。在当地人群中发现新的变异可为开发个性化医学的生物标志物提供可靠靶点。我们认识到有必要从当地结直肠癌患者中生成高质量测序数据,并了解变异的发生模式。在本报告中,我们使用了来自沙特阿拉伯的存档样本,并使用全基因组癌症扩增子测序试剂盒来识别新的体细胞变异。我们报告了覆盖度大于300X的下一代测序结果的综合分析。我们识别出466个在COSMIC和ICGC数据库中先前未报告的新变异。我们根据这些变异的发生频率、可能的致病性以及临床病理特征分析了与之相关的基因。在致病性体细胞变异中,有174个是首次在大肠中被识别出来。APC、RET和EGFR基因是最常发生突变的基因。在左半结肠中发现了更多的变异。ERBB2变异的发生与EGFR和ATR基因的变异显著相关。对所识别基因的网络分析提供了这些基因的功能视角,并提示了受影响的途径和可能的生物标志物候选物。本报告为当地人群的生物标志物发现和驱动基因突变的识别奠定了基础。