Arachchige Nipuni D S, Sirisena Nirmala D, De Silva Sumadee, Senathilake Kanishka S, Faizan Mishal, Dissanayake Vajira H W
Institute of Biochemistry, Molecular Biology and Biotechnology (IBMBB), University of Colombo, Colombo 03, Sri Lanka.
Department of Anatomy, Genetics and Biomedical Informatics, Faculty of Medicine, University of Colombo, Colombo 08, Sri Lanka.
Hum Genomics. 2025 Feb 12;19(1):12. doi: 10.1186/s40246-024-00703-8.
Next-generation sequencing (NGS)-based testing is a cost-effective method for identifying pathogenic germline genetic variations in cancer-predisposing genes in hereditary breast cancer. However, many of the variants detected through NGS are classified as variants of uncertain significance (VUS), where the impact of the variants on protein function remains unclear. Bioinformatics analysis using multiple computational tools is postulated to aid in generating new knowledge regarding the functional relevance of these VUS. This study aimed to gain new insights into the potential pathogenicity of a selected set of VUS identified in a cohort of Sri Lankan hereditary breast cancer patients using advanced bioinformatics tools.
The cancer database at the Centre for Genetics and Genomics contains genomic and clinical data from patients who had undergone germline genetic testing between 2015 and 2023. Five germline VUS detected in breast cancer affected patients were identified from the existing database and selected for further bioinformatics analysis using a combination of in-silico pathogenicity prediction tools, 3D protein modeling with structural analysis, and protein structural stability assessment with molecular dynamic simulation (MDS). The VUS included: BRCA1:(NM_007294.4):c.3392A > G;p.Asp1131Gly, (rs1555587813); BRIP1:(NM_032043.3):c.3103C > T;p.Arg1035Cys, (rs45437094); CHEK2:(NM_007194.4):c.60G > T;p.Gln20His, (rs375507194); MET:(NM_000245.4):c.840G > T;p.Arg280Ser, (rs1207381066); and STK11:(NM_000455.5):c.355A > G;p.Asn119Asp, (rs545015076).
Two variants MET:(NM_000245.4):c.840G > T;p.Arg280Ser and BRCA1:(NM_007294.4):c.3392A > G; p.Asp1131Gly are predicted to have high-risk potential for causing significant impacts on the protein structure and function. Align GVGD results and the MDS data for the BRIP1:(NM_032043.3):c.3103C > T;p.Arg1035Cys variant suggested some alterations that require further confirmation. The CHEK2:(NM_007194.4):c.60G > T;p.Gln20His variant suggested an intermediate impact, whereas STK11:(NM_000455.5):c.355A > G;p.Asn119Asp suggested no significant structural or functional impact on the protein.
This study contributes valuable insights into the potential structural and functional implications of five VUS in cancer predisposition genes. Our results suggest a high-risk potential for variants in MET, BRCA1 and BRIP1, warranting further investigation to delineate their exact biological effects and to better understand their role in breast cancer risk.
基于下一代测序(NGS)的检测是一种经济有效的方法,用于识别遗传性乳腺癌中癌症易感基因的致病种系遗传变异。然而,通过NGS检测到的许多变异被归类为意义未明的变异(VUS),这些变异对蛋白质功能的影响仍不清楚。假设使用多种计算工具进行生物信息学分析有助于生成有关这些VUS功能相关性的新知识。本研究旨在使用先进的生物信息学工具,深入了解在一组斯里兰卡遗传性乳腺癌患者中鉴定出的一组选定VUS的潜在致病性。
遗传与基因组学中心的癌症数据库包含2015年至2023年间接受种系基因检测的患者的基因组和临床数据。从现有数据库中识别出在乳腺癌患者中检测到的五个种系VUS,并使用多种计算机致病性预测工具、结合结构分析的3D蛋白质建模以及分子动力学模拟(MDS)进行蛋白质结构稳定性评估,对其进行进一步的生物信息学分析。这些VUS包括:BRCA1:(NM_007294.4):c.3392A>G;p.Asp1131Gly,(rs1555587813); BRIP1:(NM_032043.3):c.3103C>T;p.Arg1035Cys,(rs45437094); CHEK2:(NM_007194.4):c.60G>T;p.Gln20His,(rs375507194); MET:(NM_000245.4):c.840G>T;p.Arg280Ser,(rs1207381066); 以及STK11:(NM_000455.5):c.355A>G;p.Asn119Asp,(rs545015076)。
两个变异,MET:(NM_000245.4):c.840G>T;p.Arg280Ser和BRCA1:(NM_007294.4):c.3392A>G; p.Aspx1131Gly,预计具有对蛋白质结构和功能产生重大影响的高风险潜力。BRIP1:(NM_032043.3):c.3103C>T;p.Arg1035Cys变异的Align GVGD结果和MDS数据表明存在一些需要进一步确认的改变。CHEK2:(NM_007194.4):c.60G>T;p.Gln20His变异表明具有中等影响,而STK11:(NM_000455.5):c.355A>G;p.Asn119Asp表明对蛋白质没有显著的结构或功能影响。
本研究为五个VUS在癌症易感基因中的潜在结构和功能影响提供了有价值的见解。我们的结果表明MET、BRCA1和BRIP1中的变异具有高风险潜力,需要进一步研究以确定它们的确切生物学效应,并更好地了解它们在乳腺癌风险中的作用。