Hodgson Shirley V, Foulkes William D, Maher Eamonn R, Turnbull Clare
Department of Clinical Genetics, St George's School of Health and Medical Sciences, City St George's, University of London, London, UK.
Departments of Human Genetics, Medicine and Oncology, McGill University, Montreal, Quebec, Canada.
Ann Hum Genet. 2025 Sep;89(5):354-365. doi: 10.1111/ahg.70013. Epub 2025 Jul 21.
Germline pathogenic variants (GPVs, 'mutations') causing inherited susceptibility to certain cancers (cancer susceptibility genes, CSGs) broadly belong to one of two main classes-loss of function variants in tumour suppressor genes (TSGs) or gain of function variants in proto-oncogenes (an over-simplification). Genomic analyses of tumours identify 'driver mutations' promoting tumour growth and somatic variants which contribute to 'mutation signatures' which, with histopathology, can be used to subclassify cancers with implications for causality and treatment. The identification of susceptible individuals is important, as they and their relatives may be at elevated risk of tumours, and this can influence optimal cancer treatment. Classically, cancer risk assessment utilises family history, lifestyle/environment factors, and any non-neoplastic clinical findings, followed by genetic testing of high/moderate penetrance CSGs. In cancer cases not caused by highly penetrant CSGs, multiple variants conferring relatively small risks play a major role. These were discovered by genome-wide association (GWAS) studies. The utility of polygenic risk scores (PRS) derived from multiple such variants for clinical risk profiling is being assessed. Access to genetic tests is improved by widening eligibility criteria for testing and empowering non-genetic clinicians to identify CSG GPVs and manage carriers. This will contribute to expanding programmes of screening, prevention and early detection (SPED), with personalised surveillance and prophylactic interventions, and exploit knowledge of the molecular mechanisms of cancer susceptibility to develop novel cancer therapies. In some jurisdictions, population testing is being considered, but GPV penetrance in this setting can be unclear, and the public health implications are complex.
导致某些癌症遗传易感性的种系致病性变异(GPV,即“突变”)(癌症易感基因,CSG)大致可分为两大类之一——肿瘤抑制基因(TSG)中的功能丧失变异或原癌基因中的功能获得变异(这是一种过度简化的说法)。肿瘤的基因组分析可识别促进肿瘤生长的“驱动突变”以及导致“突变特征”的体细胞变异,结合组织病理学,这些可用于对癌症进行亚分类,从而对因果关系和治疗产生影响。识别易感个体很重要,因为他们及其亲属可能患肿瘤的风险更高,这会影响最佳癌症治疗方案。传统上,癌症风险评估利用家族史、生活方式/环境因素以及任何非肿瘤性临床发现,随后对高/中度外显率的CSG进行基因检测。在并非由高外显率CSG引起的癌症病例中,多个风险相对较小的变异起主要作用。这些是通过全基因组关联(GWAS)研究发现的。目前正在评估从多个此类变异得出的多基因风险评分(PRS)用于临床风险评估的效用。通过放宽检测资格标准并使非遗传临床医生有能力识别CSG GPV并管理携带者,可改善基因检测的可及性。这将有助于扩大筛查、预防和早期检测(SPED)计划,进行个性化监测和预防性干预,并利用癌症易感性分子机制的知识开发新型癌症疗法。在一些司法管辖区,正在考虑进行人群检测,但在这种情况下GPV的外显率可能不明确,且对公共卫生的影响很复杂。