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Cited by 277

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Molecular genetics of thyroid cancer: implications for diagnosis, treatment and prognosis

Nikiforova, Marina N, Nikiforov, Yuri E·2008·Expert Review of Molecular Diagnostics

Abstract

Thyroid cancer is the most common malignant tumor of the endocrine system and accounts for approximately 1% of all newly diagnosed cancer cases. The most frequent type of thyroid malignancy is papillary carcinoma, which constitutes approximately 80% of all cases. Papillary carcinomas frequently have genetic alterations leading to the activation of the MAPK signal pathway. Those include RET/PTC rearrangement and point mutations of the BRAF and RAS genes. Mutations in these genes are found in over 70% of papillary carcinomas and they rarely overlap in the same tumor. Frequent genetic alterations in follicular carcinomas, the second most common type of thyroid malignancy, include RAS mutations and PAX8-PPAR gamma rearrangement. RET point mutations are crucial for the development of medullary thyroid carcinomas. Many of these mutations, particularly those leading to the activation of the MAPK pathway, are being actively explored as therapeutic targets for thyroid cancer. Detection of these genetic alterations using molecular techniques is important for preoperative fine-needle aspiration diagnosis, prognosis and treatment of thyroid cancer.

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Metadata

Authors
Nikiforova, M. N., & Nikiforov, Y. E.
Venue
Expert Review of Molecular Diagnostics
Published
2008-01
Volume
8
Issue
1
Pages
83-95
ISSN
  • 1473-7159 (ISSN-L)
  • 1744-8352
OpenAlex
W2109544257
Cited by
277
References
1
FWCI
15.06
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Molecular genetics of thyroid cancer: implications for diagnosis, treatment and prognosis. https://app.cochat.ai/papers/10.1586/14737159.8.1.83
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Nikiforova, M. N., & Nikiforov, Y. E. (2008). Molecular genetics of thyroid cancer: implications for diagnosis, treatment and prognosis. Expert Review of Molecular Diagnostics. https://doi.org/10.1586/14737159.8.1.83

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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