Progression of medullary thyroid carcinoma:: assessment with calcitonin and carcinoembryonic antigen doubling times

被引:165
作者
Giraudet, Anne Laure [1 ]
Al Ghulzan, Abir [2 ]
Auperin, Anne [3 ]
Leboulleux, Sophie [1 ]
Chehboun, Ahmed [1 ]
Troalen, Frederic [2 ]
Dromain, Clarisse
Lumbroso, Jean [1 ]
Baudin, Eric [1 ]
Schlumberger, Martin [1 ]
机构
[1] Inst Gustave Roussy, Dept Nucl Med & Endocine Oncol, F-94805 Villejuif, France
[2] Inst Gustave Roussy, Dept Biopathol, F-94805 Villejuif, France
[3] Inst Gustave Roussy, Dept Biostat & Epidemiol, F-94805 Villejuif, France
关键词
D O I
10.1530/EJE-07-0667
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective: The progression of medullary thyroid cancer is difficult to assess with imaging modalities; we studied the interest of calcitonin and carcinoembryonic antigen (CEA) doubling times and of Ki-67 labeling and mitotic index (MI). Patients and methods: Fifty-five consecutive medullary thyroid carcinoma (MTC) patients with elevated calcitonin levels underwent repeated imaging studies in order to assess tumor burden and progression status. We looked for relationships between tumor burden and levels of calcitonin and CEA and between progression status according to the response evaluation criteria in solid tumors (RECIST) and calcitonin and CEA doubling times, and Ki-67 labeling and MI. Results: The calcitonin and CEA levels were correlated with tumor burden. Ten patients with calcitonin levels below 816 pg/ml had no imaged tumor foci. Among the 45 patients with imaged tumor foci, 19 had stable disease and 26 had progressive disease, according to the RECIST. The calcitonin and CEA doubling times were strongly related to disease progression, with very few overlaps: 94% of patients with doubling times shorter than 25 months had progressive disease and 86% of patients with doubling times longer than 24 months had stable disease. Ki-67 labeling and MI were not significantly associated with disease progression. Conclusion: For MTC patients, the doubling times of both calcitonin and CEA are efficient tools for assessing tumor progression.
引用
收藏
页码:239 / 246
页数:8
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