Godley Lucy A
Section of Hematology/Oncology, Departments of Medicine and Human Genetics, The University of Chicago, Chicago, IL, United States.
Front Oncol. 2023 Jan 30;13:1084736. doi: 10.3389/fonc.2023.1084736. eCollection 2023.
Germline predisposition to hematopoietic malignancies is more common than previously appreciated, with several clinical guidelines advocating for cancer risk testing in an expanding pool of patients. As molecular profiling of tumor cells becomes a standard practice for prognostication and defining options for targeted therapies, recognition that germline variants are present in all cells and can be identified by such testing becomes paramount. Although not to be substituted for proper germline cancer risk testing, tumor-based profiling can help prioritize DNA variants likely to be of germline origin, especially when they are present on sequential samples and persist into remission. Performing germline genetic testing as early during patient work-up as possible allows time to plan allogeneic stem cell transplantation using appropriate donors and optimize post-transplant prophylaxis. Health care providers need to be attentive to the differences between molecular profiling of tumor cells and germline genetic testing regarding ideal sample types, platform designs, capabilities, and limitations, to allow testing data to be interpreted as comprehensively as possible. The myriad of mutation types and growing number of genes involved in germline predisposition to hematopoietic malignancies makes reliance on detection of deleterious alleles using tumor-based testing alone very difficult and makes understanding how to ensure adequate testing of appropriate patients paramount.
种系易患造血系统恶性肿瘤比以前认为的更为常见,一些临床指南提倡在越来越多的患者中进行癌症风险检测。随着肿瘤细胞的分子谱分析成为预后评估和确定靶向治疗方案的标准做法,认识到种系变异存在于所有细胞中并且可以通过这种检测来识别变得至关重要。虽然不能替代适当的种系癌症风险检测,但基于肿瘤的谱分析可以帮助确定可能源自种系的DNA变异的优先级,特别是当它们存在于连续样本中并持续到缓解期时。在患者检查过程中尽早进行种系基因检测,可以有时间计划使用合适的供体进行异基因干细胞移植,并优化移植后的预防措施。医疗保健提供者需要注意肿瘤细胞的分子谱分析和种系基因检测在理想样本类型、平台设计、能力和局限性方面的差异,以便尽可能全面地解释检测数据。种系易患造血系统恶性肿瘤所涉及的无数突变类型和越来越多的基因,使得仅依靠基于肿瘤的检测来检测有害等位基因非常困难,也使得了解如何确保对合适的患者进行充分检测变得至关重要。