| Literature DB >> 32577943 |
Javad Garousi1, Anna Orlova2,3,4, Fredrik Y Frejd1, Vladimir Tolmachev1,5.
Abstract
The use of radiolabelled antibodies was proposed in 1970s for staging of malignant tumours. Intensive research established chemistry for radiolabelling of proteins and understanding of factors determining biodistribution and targeting properties. The use of radioimmunodetection for staging of cancer was not established as common practice due to approval and widespread use of [18F]-FDG, which provided a more general diagnostic use than antibodies or their fragments. Expanded application of antibody-based therapeutics renewed the interest in radiolabelled antibodies. RadioimmunoPET emerged as a powerful tool for evaluation of pharmacokinetics of and target engagement by biotherapeutics. In addition to monoclonal antibodies, new radiolabelled engineered proteins have recently appeared, offering high-contrast imaging of expression of therapeutic molecular targets in tumours shortly after injection. This creates preconditions for noninvasive determination of a target expression level and stratification of patients for targeted therapies. Radiolabelled proteins hold great promise to play an important role in development and implementation of personalised targeted treatment of malignant tumours. This article provides an overview of biodistribution and tumour-seeking features of major classes of targeting proteins currently utilized for molecular imaging. Such information might be useful for researchers entering the field of the protein-based radionuclide molecular imaging.Entities:
Keywords: antibodies; antibody fragments; imaging; radionuclide; scaffold proteins
Year: 2020 PMID: 32577943 PMCID: PMC7311618 DOI: 10.1186/s41181-020-00094-w
Source DB: PubMed Journal: EJNMMI Radiopharm Chem ISSN: 2365-421X
Fig. 1Relative size of proteins applied for radioimmunodetection and molecular imaging. Images are taken from Protein Data Bank ( https://www.rcsb.org/)
Fig. 3Small-animal PET images of uptake in NCI-N87 xenografts relative to other tissues of [124I]I-PIB-ZHER2:342 (a–c) and [124I]I-PIB-trastuzumab (d–f) in representative mice sacrificed at 6 (a and d), 24 (B and E), and 72 h (c and f) after intravenous injection of Affibody molecule (1.2 MBq) or of mAb (0.8 MBq). The image is reproduced from (Orlova et al. 2009)
Fig. 2Targeting of HER2-expressing tumours in mice using positron-emitting imaging agents. a. Uptake of the antibody [89Zr]Zr-DFO*-trastuzumab in tumour, blood, kidneys and major metastatic sites. b. Uptake of small targeting probes in tumour, blood, kidneys and major metastatic sites. Data are from (Vugts et al. 2017). c Tumor-to-tissue ratios for an antibody [89Zr]Zr-DFO*-trastuzumab 144 h after injection (Vugts et al. 2017), [68Ga]Ga-ABY-025 affibody molecule 3 h after injection (Kramer-Marek et al. 2011), ADAPT [68Ga]Ga-ADAPT6 3 h after injection (Lindbo et al. 2018a, 2018b) and [68Ga]Ga-sdAb 2Rs15d 1.5 h after injection (Massa et al. 2016).
Targeting of EGFR-expressing A431 xenografts in mice using antibodies and affibody molecules
| Tracer | Time (h) | Tumor uptake (%ID/g) | Tumor-to-blood ratio | Tumor-to-liver ratio | Tumor-to-bone ratio | Reference |
|---|---|---|---|---|---|---|
| [89Zr]Zr-DFO- cetuximab | 96 | ~ 4 | ~ 1.5 | ~ 0.3 | Aerts et al. | |
| [86Y]Y-CHX-A”-DTPA-panitumumab | 72 | 23±3 | ~ 3 | ~ 2 | 6-7 | Nayak et al. |
| [57Co]Co- DOTA-ZEGFR:2377 | 3 | 5.8±2.4 | 12±2 | 3.1±0.5 | 24±5 | Garousi et al. |
| [57Co]Co- DOTA-ZEGFR:2377 | 24 | 4.04±0.03 | 32±7 | 3.3±0.3 | 21±5 | Garousi et al. |
| [68Ga]Ga-DOTA-ZEGFR:2377 | 3 | 2.7 ± 0.1 | 7±2 | 0.44±0.03 | 12±2 | Garousi et al. |
| [68Ga]Ga-DFO-ZEGFR:2377 | 3 | 8.6±2.4 | 6.7±2.9 | 2.2±0.8 | 16±5 | Oroujeni et al. |
Fig. 4Imaging of EGFR-expression in A431 xenografted mice using antibodies and affibody molecules. Imaging using A. [86Y]Y-CHX-A”-DTPA-panitumumab at different time points (Nayak et al. 2010). B. [68Ga]Ga-DOTA-ZEGFR:2377 3 h after injection ( Garousi et al. 2017b); C. [57Co]Co- DOTA-ZEGFR:2377 3 h after injection; D. [57Co]Co- DOTA-ZEGFR:2377 24 h after injection ( Garousi et al. 2017b); E. [68Ga]Ga-DFO-ZEGFR:2377 3 h after injection (Oroujeni et al. 2018a, 2018b)
Biodistribution of radiometal labelled CAIX-imaging probes in mice bearing SK-RC-52 xenografts. Results are presented as %ID/g (the mean values and standard deviation for four mice). Data for [88Y]Y-DOTA-G250 antibody are taken from (Brouwers et al. 2004) and tumour-to-organ ratios are calculated using uptake values. Data for [111In]In-DTPA-G250(Fab’)2 and [111In]In-DOTA-HE3-ZCAIX:2 are taken from (Garousi et al. 2019)
| [88Y]Y-DOTA-G250 antibody | [111In]In-DTPA-G250(Fab’)2 | [111In]In-DOTA-HE3-ZCAIX:2 | |||
|---|---|---|---|---|---|
| 72 h | 168 h | 4 h | 24 h | 4 h | |
| Uptake, %ID/g | |||||
| Tumor | 44±15 | 55±11 | 6±1 | 5±1 | 15±3 |
| Blood | 12.5±1.3 | 8.2±1.9 | 2.9±0.5 | 0.07±0.02 | 0.24±0.03 |
| Lung | 2.3±0.2 | 0.7±0.3 | 0.49±0.09 | ||
| Liver | 7.0±0.7 | 3.7±0.4 | 10±2 | 8±2 | 0.5±0.1 |
| Kidney | 216±30 | 145±9 | 392±26 | ||
| Muscle | 1.4±0.2 | 0.7±0.2 | 0.8±0.1 | 0.4±0.1 | 0.14±0.02 |
| Bone | 1.0±0.2 | 0.4±0.2 | 2.1±0.4 | 1.4±0.2 | 0.32±0.08 |
| Tumour-to-organ ratio | |||||
| Blood | 3.6 | 6.7 | 2.1±0.2 | 67±12 | 63±11 |
| Lung | 2.7±0.4 | 7±1 | 30±3 | ||
| Liver | 6.3 | 14.9 | 0.7±0.3 | 0.6±0.2 | 33±2 |
| Kidney | 0.029±0.005 | 0.03±0.01 | 0.038±0.008 | ||
| Muscle | 31.7 | 78 | 7.9±0.7 | 11±1 | 102±20 |
| Bone | 44 | 137 | 3.0±0.5 | 4±1 | 47±8 |
Fig. 5SPECT/CT imaging (4 h after injection) of CAIX-expression in SK-RC-52 xenografted mice using [111In]In-DOTA-ZCAIX:2 and [111In]In-DTPA-G250(Fab’)2. Images are presented as maximum intensity projection (MIP). Images are reproduced from (Garousi et al. 2019)