[18F]-FDG-PET/CT Correlates With the Response of Radiorefractory Thyroid Cancer to Lenvatinib and Patient Survival.


Journal

The Journal of clinical endocrinology and metabolism
ISSN: 1945-7197
Titre abrégé: J Clin Endocrinol Metab
Pays: United States
ID NLM: 0375362

Informations de publication

Date de publication:
13 07 2021
Historique:
received: 07 02 2021
pubmed: 27 4 2021
medline: 21 10 2021
entrez: 26 4 2021
Statut: ppublish

Résumé

18F-fluoro-2-deoxy-D-glucose positron emission tomography-computed tomography ([18F]-FDG-PET/CT)-positive metastatic lesions in radioiodine-refractory differentiated thyroid cancer (RAI-R DTC) have a poor prognosis and lenvatinib represents the best therapy. We investigated the role of [18F]-FDG-PET/CT in the evaluation of metabolic response and prediction of the outcome of RAI-R DTC patients treated with lenvatinib. Patients (n = 33) with progressive metastatic RAI-R DTC who were treated with lenvatinib were investigated at baseline and during follow-up with biochemical (thyroglobulin and thyroglobulin antibodies), morphological (whole-body CT scan) and metabolic ([18F]-FDG-PET/CT) evaluation. Nineteen (57.6%) patients showed the greatest metabolic response at the first [18F]-FDG-PET/CT scan, performed after 4 weeks of lenvatinib, while 5/33 (15.1%) patients had this response later. Moreover, 66.7% of patients had both a metabolic response at the first [18F]-FDG-PET/CT scan and a morphological response at the first CT scan. We observed a correlation between the metabolic response at [18F]-FDG-PET/CT scan performed after 4 weeks of treatment and the biochemical response at the same time in 60.6% of patients. The median overall survival (OS) was significantly longer in patients with either a metabolic response at last [18F]-FDG-PET/CT (40.00 vs 8.98 months) or a morphological response at last CT scan (37.22 vs 9.53 months) than in those without response. Moreover, the OS was longer in patients with a metabolic response at [18F]-FDG-PET/CT performed after 4 weeks of treatment (36.53 vs 11.28 months). Our data show that [18F]-FDG-PET/CT can early predict the response to lenvatinib and correlates with the OS of RAI-R DTC patients treated with this drug.

Identifiants

pubmed: 33901285
pii: 6253809
doi: 10.1210/clinem/dgab278
doi:

Substances chimiques

Antineoplastic Agents 0
Iodine Radioisotopes 0
Phenylurea Compounds 0
Quinolines 0
Fluorodeoxyglucose F18 0Z5B2CJX4D
lenvatinib EE083865G2

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2355-2366

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Laura Valerio (L)

University Hospital of Pisa, Department of Clinical and Experimental Medicine, Unit of Endocrinology, Pisa 56124, Italy.

Federica Guidoccio (F)

University Hospital of Pisa, Department of Diagnostic and Imaging, Unit of Nuclear Medicine, Pisa 56126, Italy.

Carlotta Giani (C)

University Hospital of Pisa, Department of Clinical and Experimental Medicine, Unit of Endocrinology, Pisa 56124, Italy.

Elisa Tardelli (E)

University Hospital of Pisa, Department of Diagnostic and Imaging, Unit of Nuclear Medicine, Pisa 56126, Italy.

Giulia Puccini (G)

University Hospital of Pisa, Department of Diagnostic and Imaging, Unit of Nuclear Medicine, Pisa 56126, Italy.

Luciana Puleo (L)

University Hospital of Pisa, Department of Clinical and Experimental Medicine, Unit of Endocrinology, Pisa 56124, Italy.

Elisa Minaldi (E)

University Hospital of Pisa, Department of Clinical and Experimental Medicine, Unit of Endocrinology, Pisa 56124, Italy.

Giuseppe Boni (G)

University Hospital of Pisa, Department of Diagnostic and Imaging, Unit of Nuclear Medicine, Pisa 56126, Italy.

Rossella Elisei (R)

University Hospital of Pisa, Department of Clinical and Experimental Medicine, Unit of Endocrinology, Pisa 56124, Italy.

Duccio Volterrani (D)

University Hospital of Pisa, Department of Diagnostic and Imaging, Unit of Nuclear Medicine, Pisa 56126, Italy.

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Classifications MeSH