Dataset Information

Preclinical Modeling of KIF5B-RET Fusion Lung Adenocarcinoma.

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. Mol Cancer Ther; 15(10); 2521-9. ©2016 AACR.

SUBMITTER: Huang Q

PROVIDER: S-EPMC5289739 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Preclinical Modeling of KIF5B-RET Fusion Lung Adenocarcinoma.

Huang Qingling Q Schneeberger Valentina E VE Luetteke Noreen N Jin Chengliu C Afzal Roha R Budzevich Mikalai M MM Makanji Rikesh J RJ Martinez Gary V GV Shen Tao T Zhao Lichao L Fung Kar-Ming KM Haura Eric B EB Coppola Domenico D Wu Jie J

Molecular cancer therapeutics 20160805 10

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 increas ...[more]

PMID: 27496134

Similar Datasets

Project description:KIF5B-RET gene rearrangement occurs in ~1% of lung adenocarcinomas. Recently, targeted agents that inhibit RET phosphorylation have been evaluated in several clinical studies; however, little is known about the role of this gene fusion in driving lung cancer. Immunohistochemistry was used to evaluate the expression of the FOXA2 protein in tumor tissues of patients with lung adenocarcinoma. KIF5B-RET fusion cells proliferated in a cohesive form and grew tightly packed with variable-sized colonies. The expression of RET and its downstream signaling molecules, including p-BRAF, p-ERK, and p-AKT, increased. In KIF5B-RET fusion cells, the intracellular expression of p-ERK was higher in the cytoplasm than in the nucleus. Two transcription factors, STAT5A and FOXA2, exhibiting significantly different expressions at the mRNA level, were finally selected. p-STAT5A was highly expressed in the nucleus and cytoplasm, whereas the expression of the FOXA2 protein was lower; however, it was much higher in the nucleus than in the cytoplasm. Compared with the expression of FOXA2 in the RET rearrangement-wild NSCLC (45.0%), high expression (3+) were observed in most RET rearrangement NSCLCs (94.4%). Meanwhile, KIF5B-RET fusion cells began to increase belatedly from day 7 and only doubled on day 9 in 2D cell culture. However, tumors in mice injected with KIF5B-RET fusion cells began to rapidly increase from day 26. In cell cycle analyses, the KIF5B-RET fusion cells in G0/G1 were increased on day 4 (50.3 ± 2.6%) compared with the empty cells (39.3 ± 5.2%; P = 0.096). Cyclin D1 and E2 expressions were reduced, whereas CDK2 expression slightly increased. pRb and p21 expression was diminished compared with the empty cells, TGF-β1 mRNA was highly expressed, and the proteins were accumulated mostly in the nucleus. Twist mRNA and protein expression was increased, whereas Snail mRNA and protein expression was decreased. Particularly, in KIF5B-RET fusion cells treated with FOXA2 siRNA, the expression of TGF-β 1 mRNA was remarkably reduced but Twist1 and Snail mRNA were increased. Our data suggest that cell proliferation and invasiveness in KIF5B-RET fusion cells are regulated by the upregulation of STAT5A and FOXA2 through the continuous activation of multiple RET downstream signal cascades, including the ERK and AKT signaling pathways. We found that TGF-β1 mRNA, where significant increments were observed in KIF5B-RET fusion cells, is regulated at the transcriptional level by FOXA2.

Project description:Multi-kinase RET inhibitors, such as cabozantinib and RXDX-105, are active in lung cancer patients with RET fusions; however, the overall response rates to these two drugs are unsatisfactory compared to other targeted therapy paradigms. Moreover, these inhibitors may have different efficacies against RET rearrangements depending on the upstream fusion partner. A comprehensive preclinical analysis of the efficacy of RET inhibitors is lacking due to a paucity of disease models harboring RET rearrangements. Here we generated two new patient-derived xenograft (PDX) models, one new patient-derived cell line, one PDX-derived cell line, and several isogenic cell lines with RET fusions. Using these models, we re-examined the efficacy and mechanism of action of cabozantinib and found that this RET inhibitor was effective at blocking growth of cell lines, activating caspase 3/7 and inhibiting activation of ERK and AKT. Cabozantinib treatment of mice bearing RET-fusion-positive cell line xenografts and two PDXs significantly reduced tumor proliferation without adverse toxicity. Moreover, cabozantinib was effective at reducing growth of a lung cancer PDX that was not responsive to RXDX-105. Transcriptomic analysis of lung tumors and cell lines with RET alterations showed activation of a MYC signature and this was suppressed by treatment of cell lines with cabozantinib. MYC protein levels were rapidly depleted following cabozantinib treatment. Taken together, our results demonstrate that cabozantinib is an effective agent in preclinical models harboring RET rearrangements with three different 5' fusion partners (CCDC6, KIF5B and TRIM33). Notably, we identify MYC as a protein that is upregulated by RET expression and down-regulated by cabozantinib treatment, opening up potentially new therapeutic avenues for combinatorial targeting RET-fusion driven lung cancers. The novel RET fusion-dependent preclinical models described herein represent valuable tools for further refinement of current therapies and the evaluation of novel therapeutic strategies.

Dataset Information

Preclinical Modeling of KIF5B-RET Fusion Lung Adenocarcinoma.

Publications

Preclinical Modeling of KIF5B-RET Fusion Lung Adenocarcinoma.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets