4.3 Article

Targeting the receptor tyrosine kinase RET in combination with aromatase inhibitors in ER positive breast cancer xenografts

期刊

ONCOTARGET
卷 7, 期 49, 页码 80543-80553

出版社

IMPACT JOURNALS LLC
DOI: 10.18632/oncotarget.11826

关键词

RET; GDNF; endocrine therapy; aromatase inhibitors; resistance

资金

  1. Fondazione Umberto Veronesi
  2. Associazione Italiana Ricerca sul Cancro (AIRC) [8797]
  3. Istituto Toscano Tumori [0203607]
  4. Breast Cancer Now grants
  5. Programma operativo regionale Obiettivo Competitivita regionale e occupazione della Regione Toscana cofinanziato dal Fondo europeo di sviluppo regionale (POR CReO FESR)
  6. Worldwide Cancer Research [09-0533] Funding Source: researchfish

向作者/读者索取更多资源

The majority of breast cancers are estrogen receptor positive (ER+). Blockade of estrogen biosynthesis by aromatase inhibitors (AIs) is the first-line endocrine therapy for post-menopausal women with ER+ breast cancers. However, AI resistance remains a major challenge. We have demonstrated previously that increased GDNF/RET signaling in ER+ breast cancers promotes AI resistance. Here we investigated the efficacy of different small molecule RET kinase inhibitors, sunitinib, cabozantinib, NVP-BBT594 and NVP-AST487, and the potential of combining a RET inhibitor with the AI letrozole in ER+ breast cancers. The most effective inhibitor identified, NVP-AST487, suppressed GDNF-stimulated RET downstream signaling and 3D tumor spheroid growth. Ovariectomized mice were inoculated with ER+ aromatase-overexpressing MCF7-AROM1 cells and treated with letrozole, NVP-AST487 or the two drugs in combination. Surprisingly, the three treatment regimens showed similar efficacy in impairing MCF7-AROM1 tumor growth in vivo. However in vitro, NVP-AST487 was superior to letrozole in inhibiting the GDNF-induced motility and tumor spheroid growth of MCF7-AROM1 cells and required in combination with letrozole to inhibit GDNF-induced motility in BT474-AROM3 aromatase expressing cells. These data indicate that inhibiting RET is as effective as the current therapeutic regimen of AI therapy but that a combination treatment may delay cancer cell dissemination and metastasis.

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