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Real-world data analysis of next-generation sequencing and corresponding clinical characteristics in thyroid tumor.

Authors :
Chen XF
He C
Yu PC
Ye WD
Han PZ
Hu JQ
Wang YL
Source :
Endocrine connections [Endocr Connect] 2024 Oct 09; Vol. 13 (11). Date of Electronic Publication: 2024 Oct 09 (Print Publication: 2024).
Publication Year :
2024

Abstract

Next-generation sequencing (NGS) is of great benefit to clinical practice in terms of identifying genetic alterations. This study aims to clarify the gene background and its influence on thyroid tumors in the Chinese population. NGS data and corresponding clinicopathological features (sex, age, tumor size, extrathyroidal invasion, metastasis, multifocality, and TNM stage) were collected and analyzed retrospectively from 2844 individual thyroid tumor samples from July 2021 to August 2022. Among the cohort, 2337 (82%) cases possess genetic alterations, including BRAF (71%), RAS (4%), RET/PTC (4%), TERT (3%), RET (2.2%), and TP53 (1.4%). Diagnostic sensitivity before surgery can be significantly increased from 0.76 to 0.91 when cytology is supplemented by NGS. Our results show that BRAF-positive papillary thyroid cancer (PTC) patients tend to have older age, smaller tumor size, less vascular invasion, more frequent tumor multifocality, and a significantly higher cervical lymph node metastatic rate. Mutation at RET gene codons 918 and 634 is strongly correlated with medullary thyroid cancer. However, it did not display more invasive clinical characteristics. TERT-positive patients are more likely to have older age, and have larger tumor size, more tumor invasiveness, and more advanced TNM stage, indicating a poor prognosis. Patients with TERT, RET/PTC1, and CHEK2 mutations are more susceptible to lateral lymph node metastasis. In conclusion, NGS can be a useful tool that provides practical gene evidence in the process of diagnosis and treatment in thyroid tumors.

Details

Language :
English
ISSN :
2049-3614
Volume :
13
Issue :
11
Database :
MEDLINE
Journal :
Endocrine connections
Publication Type :
Academic Journal
Accession number :
39235852
Full Text :
https://doi.org/10.1530/EC-24-0301