Immuno-PET detects changes in multi-RTK tumor cell expression levels in response to targeted kinase inhibition Journal Article


Authors: Pereira, P. M. R.; Norfleet, J.; Lewis, J. S.; Escorcia, F. E.
Article Title: Immuno-PET detects changes in multi-RTK tumor cell expression levels in response to targeted kinase inhibition
Abstract: Receptor tyrosine kinase (RTK) coexpression facilitates tumor resistance due to redundancies in the phosphatidylinositol-3'-kinase/protein kinase B and KRAS/extracellular-signal-regulated kinase signaling pathways, among others. Crosstalk between the oncogenic RTK hepatocyte growth factor receptor (MET), epidermal growth factor receptor (EGFR), and human epidermal growth factor receptor 2 (HER2) are involved in tumor resistance to RTK-targeted therapies. Methods: In a relevant renal cell carcinoma patient-derived xenograft model, we use the 89Zr-labeled anti-RTK antibodies (immuno-PET) onartuzumab, panitumumab, and trastuzumab to monitor MET, EGFR, and HER2 protein levels, respectively, during treatment with agents to which the model was resistant (cetuximab) or sensitive (INC280 and trametinib). Results: Cetuximab treatment resulted in continued tumor growth, as well as an increase in all RTK protein levels at the tumor in vivo on immuno-PET and ex vivo at the cellular level. Conversely, after dual MET/mitogen-activated protein kinase inhibition, tumor growth was significantly blunted and corresponded to a decrease in RTK levels. Conclusion: These data show the utility of RTK-targeted immuno-PET to annotate RTK changes in protein expression and inform tumor response to targeted therapies. © 2021 by the Society of Nuclear Medicine and Molecular Imaging.
Keywords: molecular imaging; oncology; theranostics; kinases; immuno-pet
Journal Title: Journal of Nuclear Medicine
Volume: 62
Issue: 3
ISSN: 0161-5505
Publisher: Society of Nuclear Medicine  
Date Published: 2021-03-01
Start Page: 366
End Page: 371
Language: English
DOI: 10.2967/jnumed.120.244897
PUBMED: 32646879
PROVIDER: scopus
PMCID: PMC8049345
DOI/URL:
Notes: Article -- Export Date: 1 April 2021 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Jason S Lewis
    456 Lewis