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Updated: Jun 28, 2025

Establishment and Characterization of Patient-Derived Xenograft Models of Anaplastic Thyroid Carcinoma and Head and Neck Squamous Cell Carcinoma
Published on: June 2, 2023
Genomic Landscape and Clinical Features of Advanced Thyroid Carcinoma: A National Database Study in Japan
Soji Toda1,2, Yukihiko Hiroshima3,4, Hiroyuki Iwasaki1
1Department of Endocrine Surgery, Kanagawa Cancer Center, Kanagawa 241-8515, Japan.
Context:
The relationship between the genomic profile and prognosis of advanced thyroid carcinoma requiring drug therapy has not been reported.
Objective:
To evaluate the treatment period and overall survival time for each genetic alteration in advanced thyroid carcinoma that requires drug therapy.
Methods:
We conducted a retrospective observational study using a national database in Japan, which included 552 cases of thyroid carcinoma out of 53 543 patients in the database.
Results:
The database included anaplastic thyroid carcinoma (23.6%), poorly differentiated thyroid carcinoma (10.0%), and differentiated thyroid carcinoma (66.4%). The most common genetic abnormalities were TERT promoter (66.3%), BRAF (56.7%), and TP53 (32.2%). The typical driver genes were BRAF V600E (55.0%), RAS (18.5%), RET fusion (4.7%), NTRK fusion (1.6%), and ALK fusion (0.4%). The most common regimen was lenvatinib, and the time to treatment failure was not different despite the presence of BRAF or RAS mutations. In differentiated thyroid carcinoma and poorly differentiated thyroid carcinoma, TP53 alterations independently predicted worse overall survival (hazard ratio = 2.205, 95% confidence interval: 1.135-4.283). In anaplastic thyroid carcinoma, no genetic alterations were associated with overall survival.
Conclusion:
Genetic abnormalities with treatment options were found in 62.7% of advanced thyroid carcinomas. TP53 abnormality was an independent poor prognostic factor for overall survival in differentiated thyroid carcinoma. The time to treatment failure for lenvatinib was not different based on genetic profile.
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