- Thyroid
- Preclinical Models of Follicular Cell-Derived Thyroid Cancer: An Overview from Cancer Cell Lines to Mouse Models
-
Min Ji Jeon, Bryan R. Haugen
-
Endocrinol Metab. 2022;37(6):830-838. Published online December 26, 2022
-
DOI: https://doi.org/10.3803/EnM.2022.1636
-
-
1,578
View
-
187
Download
-
5
Citations
-
Abstract
PDF PubReader ePub
- The overall prognosis of thyroid cancer is excellent, but some patients have grossly invasive disease and distant metastases with limited responses to systemic therapies. Thus, relevant preclinical models are needed to investigate thyroid cancer biology and novel treatments. Different preclinical models have recently emerged with advances in thyroid cancer genetics, mouse modeling and new cell lines. Choosing the appropriate model according to the research question is crucial to studying thyroid cancer. This review will discuss the current preclinical models frequently used in thyroid cancer research, from cell lines to mouse models, and future perspectives on patient-derived and humanized preclinical models in this field.
-
Citations
Citations to this article as recorded by 
- Mouse Models to Examine Differentiated Thyroid Cancer Pathogenesis: Recent Updates
Hye Choi, Kwangsoon Kim International Journal of Molecular Sciences.2023; 24(13): 11138. CrossRef - Modeling the tumor microenvironment of anaplastic thyroid cancer: an orthotopic tumor model in C57BL/6 mice
Zhen Xu, Hyo Shik Shin, Yoo Hyung Kim, Seong Yun Ha, Jae-Kyung Won, Su-jin Kim, Young Joo Park, Sareh Parangi, Sun Wook Cho, Kyu Eun Lee Frontiers in Immunology.2023;[Epub] CrossRef - Patient-derived tumor models: a suitable tool for preclinical studies on esophageal cancer
Fan Liang, Hongyan Xu, Hongwei Cheng, Yabo Zhao, Junhe Zhang Cancer Gene Therapy.2023; 30(11): 1443. CrossRef - Mechanistic Insights of Thyroid Cancer Progression
Luis Javier Leandro-García, Iñigo Landa Endocrinology.2023;[Epub] CrossRef - Advances of Osteosarcoma Models for Drug Discovery and Precision Medicine
Linyun Tan, Yitian Wang, Xin Hu, Guifeng Du, Xiaodi Tang, Li Min Biomolecules.2023; 13(9): 1362. CrossRef
|