Targeting the mTOR pathway in hurthle cell carcinoma results in potent antitumor activity Journal Article


Authors: Dong, Y.; Gong, Y.; Kuo, F.; Makarov, V.; Reznik, E.; Nanjangud, G. J.; Aras, O.; Zhao, H.; Qu, R.; Fagin, J. A.; Sherman, E. J.; Xu, B.; Ghossein, R.; Chan, T. A.; Ganly, I.
Article Title: Targeting the mTOR pathway in hurthle cell carcinoma results in potent antitumor activity
Abstract: Hurthle cell carcinomas (HCCs) are refractory to radioactive iodine and unresponsive to chemotherapeutic agents, with a fatality rate that is the highest among all types of thyroid cancer after anaplastic thyroid cancer. Our previous study on the genomic landscape of HCCs identified a high incidence of disruptions of mTOR pathway effectors. Here, we report a detailed analysis of mTOR signaling in cell line and patient-derived xenograft mouse models of HCCs. We show that mTOR signaling is upregulated and that targeting mTOR signaling using mTOR inhibitors suppresses tumor growth in primary tumors and distant metastasis. Mechanistically, ablation of mTOR signaling impaired the expression of p-S6 and cyclin A2, resulting in the decrease of the S phase and blocking of cancer cell proliferation. Strikingly, mTOR inhibitor treatment significantly reduced lung metastatic lesions, with the decreased expression of Snail in xenograft tumors. Our data demonstrate that mTOR pathway blockade represents a novel treatment strategy for HCC. © 2021 American Association for Cancer Research.
Journal Title: Molecular Cancer Therapeutics
Volume: 21
Issue: 2
ISSN: 1535-7163
Publisher: American Association for Cancer Research  
Date Published: 2022-02-01
Start Page: 382
End Page: 394
Language: English
DOI: 10.1158/1535-7163.Mct-21-0224
PUBMED: 34789562
PROVIDER: scopus
PMCID: PMC8828689
DOI/URL:
Notes: Article -- Export Date: 1 March 2022 -- Source: Scopus
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MSK Authors
  1. James A Fagin
    181 Fagin
  2. Timothy Chan
    317 Chan
  3. Ronald A Ghossein
    484 Ghossein
  4. Eric J Sherman
    341 Sherman
  5. Yiyu Dong
    26 Dong
  6. Ian Ganly
    431 Ganly
  7. Yongxing Gong
    10 Gong
  8. Omer Aras
    75 Aras
  9. Eduard Reznik
    103 Reznik
  10. Vladimir Makarov
    57 Makarov
  11. Bin   Xu
    228 Xu
  12. HuiYong   Zhao
    26 Zhao
  13. Fengshen Kuo
    81 Kuo
  14. Rui Qu
    6 Qu