Suppr超能文献

识别具有 NTRK 融合癌症的患者。

Identifying patients with NTRK fusion cancer.

机构信息

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, USA.

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, USA; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, USA.

出版信息

Ann Oncol. 2019 Nov;30 Suppl 8:viii16-viii22. doi: 10.1093/annonc/mdz384. Epub 2019 Dec 24.

Abstract

Due to the efficacy of tropomyosin receptor kinase (TRK) inhibitor therapy and the recent Food and Drug Administration approval of larotrectinib, it is now clinically important to accurately and efficiently identify patients with neurotrophic TRK (NTRK) fusion-driven cancer. These oncogenic fusions occur when the kinase domain of NTRK1, NTRK2 or NTRK3 fuse with any of a number of N-terminal partners. NTRK fusions are characteristic of a few rare types of cancer, such as secretory carcinoma of the breast or salivary gland and infantile fibrosarcoma, but they are also infrequently seen in some common cancers, such as melanoma, glioma and carcinomas of the thyroid, lung and colon. There are multiple methods for identifying NTRK fusions, including pan-TRK immunohistochemistry, fluorescence in situ hybridisation and sequencing methods, and the advantages and drawbacks of each are reviewed here. While testing algorithms will obviously depend on availability of various testing modalities and economic considerations for each individual laboratory, we propose triaging specimens based on histology and other molecular findings to most efficiently identify tumours harbouring these treatable oncogenic fusions.

摘要

由于原肌球蛋白受体激酶(TRK)抑制剂治疗的疗效和最近食品和药物管理局批准拉罗替尼,现在临床上重要的是准确和有效地识别神经营养性 TRK(NTRK)融合驱动的癌症患者。这些致癌融合发生在 NTRK1、NTRK2 或 NTRK3 的激酶结构域与许多 N 端伙伴中的任何一个融合时。NTRK 融合是几种罕见类型癌症的特征,如乳腺或唾液腺癌和婴儿纤维肉瘤,但它们也在一些常见癌症中罕见,如黑色素瘤、神经胶质瘤和甲状腺、肺和结肠的癌。有多种方法可用于鉴定 NTRK 融合,包括泛 TRK 免疫组织化学、荧光原位杂交和测序方法,这里回顾了每种方法的优缺点。虽然测试算法显然取决于各种测试方式的可用性以及每个实验室的经济考虑因素,但我们建议根据组织学和其他分子发现对标本进行分类,以最有效地识别携带这些可治疗致癌融合的肿瘤。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验