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Updated: Jan 6, 2026

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer
Published on: June 9, 2023
Personalized treatment options for thyroid cancer: current perspectives.
Fatemeh Khatami1, Bagher Larijani2,3, Shekoufeh Nikfar3,4
1Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Personalized medicine advances thyroid cancer treatment by targeting unique genetic mutations. This approach improves treatment planning and prognosis for aggressive or refractory cases.
Area of Science:
- Endocrinology
- Oncology
- Genetics
Background:
- Thyroid cancer incidence is rising globally, posing a significant challenge.
- While differentiated thyroid carcinoma generally has a good prognosis, 5-10% of patients develop aggressive, metastatic, or refractory disease.
- Individual genetic profiles significantly influence thyroid cancer behavior and treatment response.
Purpose of the Study:
- To highlight the shift towards personalized treatment strategies in thyroid cancer.
- To underscore the importance of genetic information in guiding targeted therapy selection.
- To review key molecular targets and associated therapies for thyroid cancer.
Main Methods:
- Review of current literature on thyroid cancer genetics and targeted therapies.
- Identification of prevalent mutations and rearrangements (e.g., BRAF, VEGF, RET).
- Association of specific genetic alterations with targeted therapeutic agents (e.g., larotrectinib, vemurafenib).
Main Results:
- Targeted therapies offer a personalized approach by focusing on specific molecular pathways.
- Several key genetic alterations (BRAF, VEGF, RET, etc.) are crucial for selecting appropriate treatments.
- Drugs like larotrectinib, vemurafenib, sunitinib, and sorafenib are utilized based on genetic profiling.
Conclusions:
- Personalized treatment based on genetic information has revolutionized thyroid cancer management.
- This approach enhances treatment planning, efficacy prediction, and overall prognosis.
- Understanding individual genetic makeup is key to overcoming treatment resistance in thyroid cancer.
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