Next-generation sequencing on fine needle aspirates in neck recurrence of thyroid cancers

Author:

Théodon Hélène1ORCID,Guillerm Erell2,Wassermann Johanna3,Deniziaut Gabrielle4,Jaffrelot Loïc3,Denis Jérome5ORCID,Chereau Nathalie6,Bigorgne Claude4,Potonnier Wiame4,Coulet Florence2,Leenhardt Laurence1,Buffet Camille1

Affiliation:

1. Department of Thyroid and Endocrine Tumors, Sorbonne Université, GRC n°16, GRC Tumeurs Thyroïdiennes, Pitié-Salpêtrière Hospital, Paris, France

2. Department of Oncogenetic, Sorbonne Université, GRC n°16, GRC Tumeurs Thyroïdiennes, Pitié-Salpêtrière Hospital, Paris, France

3. Department of Oncology, Sorbonne Université, GRC n°16, GRC Tumeurs Thyroïdiennes, Pitié-Salpêtrière Hospital, Paris, France

4. Department of Pathology, Sorbonne Université, GRC n°16, GRC Tumeurs Thyroïdiennes, Pitié-Salpêtrière Hospital, Paris, France

5. Department of Endocrine and Oncology Biochemistry, Sorbonne Université, Pitié-Salpêtrière Hospital, Paris, France

6. Department of Endocrine Surgery, Sorbonne Université, GRC n°16, GRC Tumeurs Thyroïdiennes, Pitié-Salpêtrière Hospital, Paris, France

Abstract

Objective Tumor molecular genotyping plays a key role in improving the management of advanced thyroid cancers. Molecular tests are classically performed on formalin-fixed, paraffin-embedded (FFPE) carcinoma tissue. However alternative molecular testing strategies are needed when FFPE tumoral tissue is unavailable. The objective of our study was to retrospectively assess the performance of targeted DNA and RNA-based next-generation sequencing (NGS) on the fine needle aspirate from thyroid cancer cervical recurrences to determine if this strategy is efficient in clinical practice. Design/Methods A retrospective study of 33 patients who had had DNA and/or RNA-based NGS on ultrasound (US)-guided fine needle aspirates of cervical thyroid cancer recurrences in our Department from July 2019 to September 2022. Results In total, 34 DNA and 32 RNA-based NGS analyses were performed. Out of the 34 DNA-based NGS performed, 27 (79%) were conclusive allowing the identification of an oncogenic driver for 18 patients (53%). The most common mutation (n = 13) was BRAF c.1799T>A. Out of the 32 RNA-based NGS performed, 26 were interpretable (81%) and no gene fusion was found. The identification of a BRAFV600E mutation was decisive for one patient in our series, who was prescribed dabrafenib and trametinib. Conclusion NGS performed on fine needle aspirates of neck lymph node metastases enabled the identification of an oncogenic driver alteration in 53% of the cases in our series of advanced thyroid cancer patients and could significantly alter patient management. Significance statement This paper shows that thyroid cancer genotyping on the fine needle aspirate (FNA) of a metastatic neck lymph node recurrence can be performed efficiently. This strategy of genotyping appears particularly effective and safe when FFPE tissue is unavailable and when the spread of the disease requires systemic treatment. To the best of our knowledge, our data regarding DNA and RNA next generation sequencing on FNA of metastatic neck recurrences are the first ever published.

Publisher

Bioscientifica

Reference26 articles.

1. The genomic landscape of thyroid cancer tumourigenesis and implications for immunotherapy;Singh,2021

2. Recent advances in managing differentiated thyroid cancer;Lamartina,2018

3. Molecular genotyping in refractory thyroid cancers in 2021: when, how and why? A review from the TUTHYREF network;de la Fouchardière,2021

4. Opportunities and challenges of liquid biopsy in thyroid cancer;Romano,2021

5. Liquid biopsy in thyroid cancer: from circulating biomarkers to a new prospective of tumor monitoring and therapy;Pogliaghi,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3