Preclinical modeling of KIF5B-RET fusion lung adenocarcinoma

Qingling Huang, Valentina E. Schneeberger, Noreen Luetteke, Chengliu Jin, Roha Afzal, Mikalai M. Budzevich, Rikesh J. Makanji, Gary V. Martinez, Tao Shen, Lichao Zhao, Kar Ming Fung, Eric B. Haura, Domenico Coppola, Jie Wu

Research output: Contribution to journalArticlepeer-review

59 Scopus citations

Abstract

RET fusions have been found in lung adenocarcinoma, of which KIF5B-RET is the most prevalent. We established inducible KIF5B-RET transgenic mice and KIF5B-RET-dependent cell lines for preclinical modeling of KIF5B-RET-associated lung adenocarcinoma. Doxycycline-induced CCSP-rtTA/tetO-KIF5B-RET transgenic mice developed invasive lung adenocarcinoma with desmoplastic reaction. Tumors regressed upon suppression of KIF5B-RET expression. By culturing KIF5B-RET-dependent BaF3 (B/KR) cells with increasing concentrations of cabozantinib or vandetanib, we identified cabozantinib-resistant RETV804L mutation and vandetanib-resistant-RETG810A mutation. Among cabozantinib, lenvatinib, ponatinib, and vandetanib, ponatinib was identified as the most potent inhibitor against KIF5B-RET and its drug-resistant mutants. Interestingly, the vandetanib-resistant KIF5B-RETG810A mutant displayed gain-of-sensitivity (GOS) to ponatinib and lenvatinib. Treatment of doxycycline-induced CCSP-rtTA/tetO-KIF5B-RET bitransgenic mice with ponatinib effectively induced tumor regression. These results indicate that KIF5B-RET-associated lung tumors are addicted to the fusion oncogene and ponatinib is the most effective inhibitor for targeting KIF5B-RET in lung adenocarcinoma. Moreover, this study finds a novel vandetanib-resistant RETG810A mutation and identifies lenvatinib and ponatinib as the secondary drugs to overcome this vandetanib resistance mechanism.

Original languageEnglish (US)
Pages (from-to)2521-2529
Number of pages9
JournalMolecular cancer therapeutics
Volume15
Issue number10
DOIs
StatePublished - Oct 2016
Externally publishedYes

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Fingerprint

Dive into the research topics of 'Preclinical modeling of KIF5B-RET fusion lung adenocarcinoma'. Together they form a unique fingerprint.

Cite this