Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO United States.
Department of Pathology, Boston Children's Hospital and Harvard Medical School, Boston, MA, United States.
Cancer Genet. 2022 Jun;264-265:50-59. doi: 10.1016/j.cancergen.2022.03.001. Epub 2022 Mar 16.
Gene fusions involving the neurotrophic receptor tyrosine kinase genes NTRK1, NTRK2, and NTRK3, are well established oncogenic drivers in a broad range of pediatric and adult tumors. These fusions are also important actionable markers, predicting often dramatic response to FDA approved kinase inhibitors. Accurate interpretation of the clinical significance of NTRK fusions is a high priority for diagnostic laboratories, but remains challenging and time consuming given the rapid pace of new data accumulation, the diversity of fusion partners and tumor types, and heterogeneous and incomplete information in variant databases and knowledgebases. The ClinGen NTRK Fusions Somatic Cancer Variant Curation Expert Panel (SC-VCEP) was formed to systematically address these challenges and create an expert-curated resource to support clinicians, researchers, patients and their families in making accurate interpretations and informed treatment decisions for NTRK fusion-driven tumors. We describe a system for NTRK fusion interpretation (including compilation of key elements and annotations) developed by the NTRK fusions SC-VCEP. We illustrate this stepwise process on examples of LMNA::NTRK1 and KANK1::NTRK2 fusions. Finally, we provide detailed analysis of current representation of NTRK fusions in public fusion databases and the CIViC knowledgebase, performed by the NTRK fusions SC-VCEP to determine existing gaps and prioritize future curation activities.
涉及神经营养受体酪氨酸激酶基因 NTRK1、NTRK2 和 NTRK3 的基因融合是广泛存在于儿科和成人肿瘤中的明确致癌驱动因素。这些融合也是重要的可操作标志物,通常预测对 FDA 批准的激酶抑制剂有显著反应。准确解释 NTRK 融合的临床意义是诊断实验室的首要任务,但由于新数据的快速积累、融合伙伴和肿瘤类型的多样性、以及变异数据库和知识库中信息的异质性和不完整性,这仍然具有挑战性和耗时。ClinGen NTRK 融合体细胞癌变异临床专家小组 (SC-VCEP) 的成立是为了系统地解决这些挑战,并创建一个经过专家审核的资源,以支持临床医生、研究人员、患者及其家属对 NTRK 融合驱动的肿瘤进行准确的解释和知情的治疗决策。我们描述了由 NTRK 融合 SC-VCEP 开发的 NTRK 融合解释系统(包括关键要素和注释的编译)。我们通过 LMNA::NTRK1 和 KANK1::NTRK2 融合的示例来说明这个逐步的过程。最后,我们对 NTRK 融合在公共融合数据库和 CIViC 知识库中的当前表示进行了详细分析,这是由 NTRK 融合 SC-VCEP 进行的,以确定现有差距并确定未来的审核活动重点。