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Second primary malignancies in thyroid cancer patients.
C Rubino1, F de Vathaire, M E Dottorini
1Unite INSERM XUR521, Gustave Roussy Institute, 39 rue Camille Desmoulins, Villejuif 94 805, France.
British Journal of Cancer
|October 30, 2003
Summary
Radioiodine ((131)I) treatment for thyroid cancer increases the risk of second primary malignancies (SPMs), including solid tumors and leukemias. Careful patient selection is crucial to balance benefits and risks of (131)I therapy.
Area of Science:
- Oncology
- Nuclear Medicine
- Epidemiology
Background:
- Assessing late health effects of radioiodine ((131)I) therapy for thyroid cancer is challenging due to limited patient numbers per center.
- Second primary malignancies (SPMs) are a potential long-term concern for thyroid cancer survivors.
Purpose of the Study:
- To evaluate the risk of SPMs in a European cohort of thyroid cancer patients treated with radioiodine ((131)I).
- To investigate the relationship between cumulative (131)I activity and the incidence of SPMs.
Main Methods:
- Pooling data from Swedish, Italian, and French cohorts of papillary and follicular thyroid cancer patients (6841 patients, diagnosed 1934-1995).
- Time-dependent analysis using external comparison with general population rates.
- Analysis of SPM risk based on cumulative (131)I activity and specific cancer types.
Main Results:
- An overall 27% significantly increased risk of SPM was observed in the European cohort compared to the general population.
- Increased risk of both solid tumors and leukemias correlated with higher cumulative (131)I activity.
- Specific associations found between (131)I administration and bone/soft tissue, colorectal, and salivary gland cancers.
Conclusions:
- Radioiodine ((131)I) treatment for thyroid cancer is associated with a significant increased risk of second primary malignancies.
- The risk of SPMs, including solid tumors and leukemias, increases with cumulative (131)I dosage.
- Clinical guidelines should emphasize careful patient selection for (131)I therapy to maximize benefits and minimize risks.