Hernandez Susana, Conde Esther, Molero Aida, Suarez-Gauthier Ana, Martinez Rebeca, Alonso Marta, Plaza Carlos, Camacho Carmen, Chantada Debora, Juaneda-Magdalena Laura, Garcia-Toro Enrique, Saiz-Lopez Patricia, Rojo Federico, Abad Mar, Boni Valentina, Del Carmen Sofia, Regojo Rita Maria, Sanchez-Frias Marina Esther, Teixido Cristina, Paz-Ares Luis, Lopez-Rios Fernando
From the Department of Pathology, 12 de Octubre University Hospital, Research Institute 12 de Octubre University Hospital (i+12), Madrid, Spain (Hernandez, Alonso).
the Department of Pathology, 12 de Octubre University Hospital, Universidad Complutense de Madrid, Research Institute 12 de Octubre University Hospital (i+12), CIBERONC, Madrid, Spain (Conde, Lopez-Rios).
Arch Pathol Lab Med. 2024 Mar 1;148(3):318-326. doi: 10.5858/arpa.2022-0443-OA.
CONTEXT.—: The neurotrophic tropomyosin receptor kinase (NTRK) family gene rearrangements have been recently incorporated as predictive biomarkers in a "tumor-agnostic" manner. However, the identification of these patients is extremely challenging because the overall frequency of NTRK fusions is below 1%. Academic groups and professional organizations have released recommendations on the algorithms to detect NTRK fusions. The European Society for Medical Oncology proposal encourages the use of next-generation sequencing (NGS) if available, or alternatively immunohistochemistry (IHC) could be used for screening with NGS confirmation of all positive IHC results. Other academic groups have included histologic and genomic information in the testing algorithm.
OBJECTIVE.—: To apply some of these triaging strategies for a more efficient identification of NTRK fusions within a single institution, so pathologists can gain practical insight on how to start looking for NTRK fusions.
DESIGN.—: A multiparametric strategy combining histologic (secretory carcinomas of the breast and salivary gland; papillary thyroid carcinomas; infantile fibrosarcoma) and genomic (driver-negative non-small cell lung carcinomas, microsatellite instability-high colorectal adenocarcinomas, and wild-type gastrointestinal stromal tumors) triaging was put forward.
RESULTS.—: Samples from 323 tumors were stained with the VENTANA pan-TRK EPR17341 Assay as a screening method. All positive IHC cases were simultaneously studied by 2 NGS tests, Oncomine Comprehensive Assay v3 and FoundationOne CDx. With this approach, the detection rate of NTRK fusions was 20 times higher (5.57%) by only screening 323 patients than the largest cohort in the literature (0.30%) comprising several hundred thousand patients.
CONCLUSIONS.—: Based on our findings, we propose a multiparametric strategy (ie, "supervised tumor-agnostic approach") when pathologists start searching for NTRK fusions.
神经营养性原肌球蛋白受体激酶(NTRK)家族基因重排最近已以“肿瘤非特异性”方式作为预测性生物标志物纳入。然而,识别这些患者极具挑战性,因为NTRK融合的总体频率低于1%。学术团体和专业组织已发布关于检测NTRK融合算法的建议。欧洲医学肿瘤学会的提议鼓励在可行的情况下使用二代测序(NGS),或者也可使用免疫组化(IHC)进行筛查,并对所有阳性IHC结果进行NGS确认。其他学术团体在检测算法中纳入了组织学和基因组信息。
应用其中一些分类策略,在单一机构内更高效地识别NTRK融合,以便病理学家能够获得有关如何开始寻找NTRK融合的实用见解。
提出了一种多参数策略,将组织学(乳腺和唾液腺分泌性癌、甲状腺乳头状癌、婴儿纤维肉瘤)和基因组(驱动基因阴性的非小细胞肺癌、微卫星高度不稳定的大肠腺癌和野生型胃肠道间质瘤)分类相结合。
对323例肿瘤样本进行VENTANA pan-TRK EPR17341检测染色作为筛查方法。所有IHC阳性病例同时通过两种NGS检测(Oncomine Comprehensive Assay v3和FoundationOne CDx)进行研究。通过这种方法,仅筛查323例患者时,NTRK融合的检出率(5.57%)比文献中包含数十万患者的最大队列(0.30%)高20倍。
基于我们的研究结果,我们建议病理学家在开始寻找NTRK融合时采用多参数策略(即“有监督的肿瘤非特异性方法”)。