We present the case of a 58-year-old man with metastatic medullary thyroid carcinoma refractory to conventional therapies, including peptide receptor radionuclide therapy. Despite multiple interventions, serum calcitonin and carcinoembryonic antigen levels continued to rise. Subsequent evaluation with 99m Tc-FAPI-46 revealed remarkable uptake in metastatic lesions, suggesting a potential role for FAPI-labeled radioisotopes in the management of medullary thyroid carcinoma. This case underscores the emerging utility of FAPI-targeted radiotracers in oncologic nuclear medicine and highlights the need for further research in this promising area.
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http://dx.doi.org/10.1097/RLU.0000000000005605 | DOI Listing |
J Endocr Soc
March 2025
Department of Medicine, King Faisal Specialist Hospital and Research Centre, Riyadh 11211, Saudi Arabia.
Overview: Distant metastases (DM) are the major cause of death in patients with differentiated thyroid cancer (DTC). This study aimed to investigate the predictors of DM-associated mortality.
Patients And Methods: We identified 154 thyroid cancer (TC) patients with DM from our institution's tumor registry.
Endocr Oncol
January 2025
Thyroid Unit, The Royal Marsden NHS Foundation Trust, London, UK.
Medullary thyroid cancer (MTC) is a rare subtype of thyroid cancer originating from parafollicular C-cells of the thyroid. Tyrosine kinase inhibitors are used to treat patients with advanced MTC. Selpercatinib is a highly selective RET inhibitor used in the treatment of advanced RET-mutated MTC, having shown higher potency and fewer side effects compared to multikinase inhibitors in clinical trials.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
February 2025
Department of Pediatric Hematology and Oncology, Charles University, 2nd Faculty of Medicine and University Hospital Motol, Prague, Czechia.
Diagn Pathol
March 2025
Department of General Surgery, The Second Hospital Affiliated to Shenyang Medical College, No.64, Qishan West Road, Huanggu District, Shenyang, Liaoning, 110002, China.
Background: Thyroid cancer is a prevalent malignancy requiring accurate subtype identification for effective treatment planning and prognosis evaluation. Deep learning has emerged as a valuable tool for analyzing tumor microenvironment features and distinguishing between pathological subtypes, yet the interplay between microenvironment characteristics and clinical outcomes remains unclear.
Methods: Pathological tissue slices, gene expression data, and protein expression data were collected from 118 thyroid cancer patients with various subtypes.
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