| Literature DB >> 27252651 |
Yvonne W S Jauw1, C Willemien Menke-van der Houven van Oordt2, Otto S Hoekstra3, N Harry Hendrikse4, Danielle J Vugts3, Josée M Zijlstra1, Marc C Huisman3, Guus A M S van Dongen3.
Abstract
Selection of the right drug for the right patient is a promising approach to increase clinical benefit of targeted therapy with monoclonal antibodies (mAbs). Assessment of in vivo biodistribution and tumor targeting of mAbs to predict toxicity and efficacy is expected to guide individualized treatment and drug development. Molecular imaging with positron emission tomography (PET) using zirconium-89 ((89)Zr)-labeled monoclonal antibodies also known as (89)Zr-immuno-PET, visualizes and quantifies uptake of radiolabeled mAbs. This technique provides a potential imaging biomarker to assess target expression, as well as tumor targeting of mAbs. In this review we summarize results from initial clinical trials with (89)Zr-immuno-PET in oncology and discuss technical aspects of trial design. In clinical trials with (89)Zr-immuno-PET two requirements should be met for each (89)Zr-labeled mAb to realize its full potential. One requirement is that the biodistribution of the (89)Zr-labeled mAb (imaging dose) reflects the biodistribution of the drug during treatment (therapeutic dose). Another requirement is that tumor uptake of (89)Zr-mAb on PET is primarily driven by specific, antigen-mediated, tumor targeting. Initial trials have contributed toward the development of (89)Zr-immuno-PET as an imaging biomarker by showing correlation between uptake of (89)Zr-labeled mAbs on PET and target expression levels in biopsies. These results indicate that (89)Zr-immuno-PET reflects specific, antigen-mediated binding. (89)Zr-immuno-PET was shown to predict toxicity of RIT, but thus far results indicating that toxicity of mAbs or mAb-drug conjugate treatment can be predicted are lacking. So far, one study has shown that molecular imaging combined with early response assessment is able to predict response to treatment with the antibody-drug conjugate trastuzumab-emtansine, in patients with human epithelial growth factor-2 (HER2)-positive breast cancer. Future studies would benefit from a standardized criterion to define positive tumor uptake, possibly supported by quantitative analysis, and validated by linking imaging data with corresponding clinical outcome. Taken together, these results encourage further studies to develop (89)Zr-immuno-PET as a predictive imaging biomarker to guide individualized treatment, as well as for potential application in drug development.Entities:
Keywords: 89zirconium; clinical oncology; imaging biomarker; molecular imaging; monoclonal antibodies; positron emission tomography
Year: 2016 PMID: 27252651 PMCID: PMC4877495 DOI: 10.3389/fphar.2016.00131
Source DB: PubMed Journal: Front Pharmacol ISSN: 1663-9812 Impact factor: 5.810
Summary of clinical studies on .
| Börjesson | 2006 | CD44v6 | cmAb U36 | Head and neck cancer | 20 |
| 2009 | |||||
| Dijkers | 2010 | HER2 | trastuzumab | Breast cancer | 14 |
| Rizvi | 2012 | CD20 | ibritumomab-tiuxetan | B-cell lymphoma | 7 |
| Gaykema | 2013 | VEGF-A | bevacizumab | Breast cancer | 23 |
| van Zanten | 2013 | VEGF-A | bevacizumab | Glioma | 3 |
| van Asselt | 2014 | VEGF-A | bevacizumab | Neuroendocrine tumors | 14 |
| Bahce | 2014 | VEGF-A | bevacizumab | Non-small cell lung cancer | 7 |
| Pandit-Taskar | 2014 | PSMA | Hu-J591 | Prostate cancer | 50 |
| 2015 | |||||
| Den Hollander | 2015 | TGF-β | fresolimumab | Glioma | 12 |
| Gaykema | 2015 | HER2 | trastuzumab | Breast cancer | 10 |
| VEGF-A | bevacizumab | 6 | |||
| Gebhart | 2015 | HER2 | trastuzumab | Breast cancer | 56 |
| Lamberts | 2015 | MSLN | MMOT0530A | Pancreatic cancer | 11 |
| Ovarian cancer | 4 | ||||
| Menke-van der Houven van Oordt | 2015 | EGFR | cetuximab | Colorectal cancer | 10 |
| Muylle | 2015 | CD20 | rituximab | B-cell lymphoma | 5 |
| Oosting | 2015 | VEGF-A | bevacizumab | Renal cell carcinoma | 22 |
Figure 1Dose-dependent biodistribution and clearance of . Radioactivity in the blood pool and intestinal excretion are indicated by arrows. (A) Trastuzumab-naïve patient, imaging dose = 10 mg. (B) Trastuzumab-naïve patient, imaging dose = 50 mg. (C) Patient on trastuzumab treatment, imaging dose = 10 mg. Reprinted with permission from Dijkers et al. (2010).
Figure 2Patterns of HER2-PET/CT confronted with FDG-PET/CT, maximum intensity projection. Lesion uptake was considered pertinent when visually higher than blood pool. (A) Entire tumor load showed pertinent tracer uptake. (B) Dominant part of tumor load showed tracer uptake. (C) Minor part of tumor load showed tracer uptake. (D) Entire tumor load lacked tracer uptake. Reprinted with permission from Gebhart et al. (2016).
Figure 3. 99mTc-MDP bone scan shows only a few lesions. FDG-PET shows nodal disease in the thorax, retroperitoneum, and pelvic region and a few bone lesions in the spine. Overall more bone lesions were seen on 89Zr-huJ591-PET than on FDG-PET, including multiple lesions in vertebrae, pelvic bones, ribs, and humerus. Targeting was also seen to the retroperitoneal and pelvic lymph nodes by 89Zr-huJ59-PET. (A) Anterior and posterior 99mTc-MDP bone scan. (B) FDG-PET maximum intensity projection. (C)89Zr-huJ591 PET. (D) FDG-PET sagittal fused image. (E) 89Zr-hu J591 PET sagittal fused image. Reprinted with permission from Pandit-Taskar et al. (2014).
Figure 4Patient 2 without B cell depletion, anterior view. (B) Patient 3 with B cell depletion, posterior view. Reprinted with permission from Muylle et al. (2015).