| Literature DB >> 33946583 |
Vincent Q Sier1, Joost R van der Vorst1, Paul H A Quax1, Margreet R de Vries1, Elham Zonoobi1,2, Alexander L Vahrmeijer1, Ilona A Dekkers3, Lioe-Fee de Geus-Oei4,5, Anke M Smits6, Weibo Cai7, Cornelis F M Sier1,8, Marie José T H Goumans6, Lukas J A C Hawinkels9.
Abstract
Molecular imaging of pathologic lesions can improve efficient detection of cancer and cardiovascular diseases. A shared pathophysiological feature is angiogenesis, the formation of new blood vessels. Endoglin (CD105) is a coreceptor for ligands of the Transforming Growth Factor-β (TGF-β) family and is highly expressed on angiogenic endothelial cells. Therefore, endoglin-based imaging has been explored to visualize lesions of the aforementioned diseases. This systematic review highlights the progress in endoglin-based imaging of cancer, atherosclerosis, myocardial infarction, and aortic aneurysm, focusing on positron emission tomography (PET), single-photon emission computed tomography (SPECT), magnetic resonance imaging (MRI), near-infrared fluorescence (NIRF) imaging, and ultrasound imaging. PubMed was searched combining the following subjects and their respective synonyms or relevant subterms: "Endoglin", "Imaging/Image-guided surgery". In total, 59 papers were found eligible to be included: 58 reporting about preclinical animal or in vitro models and one ex vivo study in human organs. In addition to exact data extraction of imaging modality type, tumor or cardiovascular disease model, and tracer (class), outcomes were described via a narrative synthesis. Collectively, the data identify endoglin as a suitable target for intraoperative and diagnostic imaging of the neovasculature in tumors, whereas for cardiovascular diseases, the evidence remains scarce but promising.Entities:
Keywords: CD105; TGF-β; angiogenesis; cancer; cardiovascular diseases; endoglin; image-guided surgery; imaging; microbubbles; molecular imaging; nanoparticles
Mesh:
Substances:
Year: 2021 PMID: 33946583 PMCID: PMC8124553 DOI: 10.3390/ijms22094804
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Overview of the two dominant TGF-β signaling pathways in endothelial cells. Presence of endoglin/CD105 on the cell membrane upon binding of TGF-β is associated with promotion of the angiogenesis-favoring ALK1 pathway, while constraining the mainly antagonistically functioning ALK5 pathway. The ALK1 pathway can also be initiated separately via BMP9 (and BMP10 during embryogenesis).
Figure 2Flow chart demonstrating the study selection process.
Overview of current endoglin-based tumor imaging studies, categorized by imaging modality, disease model, and imaging agent.
| Imaging Principle | Specific | Model | Imaging Agent | Class |
|---|---|---|---|---|
| Nuclear imaging | General | Dogs with spontaneous mammary tumors | 125I-MAEND3 [ | a. Antibody |
| Human renal cell carcinoma patients * | 99mTc-E9 mAb [ | |||
| SPECT | B16F10 (m) melanoma model | 125I-anti-CD105 mAb [ | a. Antibody | |
| PET | 4T1 (m) breast cancer mouse model | 64Cu-NOTA-TRC105 and 64Cu-DOTA-TRC105 [ | a. Antibody | |
| U87MG (h) glioblastoma (EGFR/CD105+/+) mouse model | 64Cu-NOTA-(anti-CD105 and anti-EGFR Fab) [ | |||
| BxPC-3 (h) pancreatic tumor mouse model | 64Cu-NOTA-(anti-CD105 and anti-TF Fab) [ | |||
| B16F10 (m) melanoma mouse model | 89Zr-anti-CD105-AuNP-PPAA [ | |||
| MRI | 4T1 (m) breast cancer mouse model | Anti-CD105-PVP-SWCNT-SPION [ | c. Nanoparticle | |
| 4T1 (m) lung metastases mouse model (breast cancer) | Anti-CD105-PVP-SWCNT-SPION [ | |||
| MDA-MB-231 (h) breast cancer mouse model | Anti-CD105-PEG- (Fe2O3/au nanoparticle) [ | |||
| F9 (m) teratoma mouse model | αCD105-PAA-SPION [ | |||
| F98 (m) glioma rat model | Anti-CD105-Gd-(PEGylated liposomes) [ | |||
| C6 (m) glioma rat model | Anti-CD105-Gd-(paramagnetic liposomes) [ | |||
| Tumor vascular endothelial cells (coculture, HUVEC: MDA-MB-231 (h); 1:5) (in vitro) | CL 1555-PEG-MnFe2O4 [ | |||
| H22 (m) hepatocellular carcinoma mouse model | Aptamer-Fe3O4@CMCS [ | |||
| NIRF | 4T1 (m) breast cancer mouse model | 800CW-TRC105 [ | a. Antibody | |
| MNNG/HOS (h) osteosarcoma mouse model | FITC-nABP296 [ | |||
| MDA-MB-231 (h) breast cancer and HT1080 (h) fibrosarcoma mouse models | End-IL-Liposomes-DY-676-COOH [ | |||
| MDA-MB-231 (h) breast cancer mouse model | Anti-CD105 ILp-liposomes [ | |||
| U87MG (h) glioblastoma (EGFR/CD105+/+) tumors | ZW800-NOTA-(anti-CD105 and anti-EGFR Fab) [ | |||
| Ultrasound | bEND.3 endothelial cells (in vitro) | Anti-CD105-avidin-PESDA-Microbubble [ | e. Microbubble | |
| Pan02 (m) pancreatic cancer mouse model | Anti-CD105-avidin-PESDA-Microbubble [ | |||
| SKOV3 (h) ovarian adenocarcinoma mouse model | Anti-CD105-streptavidin-Microbubble [ | |||
| MDA-MB-361 (h) breast adenocarcinoma mouse model | Anti-CD105-streptavidin-Microbubble [ | |||
| MiaPaCa2 (h) pancreatic adenocarcinoma mouse model | Anti-CD105-streptavidin-Microbubble [ | |||
| B16-F10 (m) melanoma mouse model | Anti-CD105-streptavidin-Microbubble [ | |||
| U87MG (h) glioblastoma mouse model | Anti-CD105-avidin-Microbubble [ | |||
| HepG2 (h) hepatoblastoma mouse model | Anti-CD105-streptavidin-Microbubble [ | |||
| TFK-1 (h) and EGI-1 (h) cholangiocarcinoma mouse model | Anti-CD105-streptavidin-Microbubble [ | |||
| Dual imaging | PET/NIRF | 4T1 (m) breast cancer mouse model | 64Cu-NOTA-TRC105-800CW [ | a. Antibody |
| 4T1 (m) lung metastatic mouse model (breast cancer) | 89Zr-Df-TRC105-800CW [ | |||
| BxPC-3 (h) and PANC-1 (h) pancreatic tumor mouse models | 64CU-NOTA-(anti-CD105 and anti-TF Fab’ immunoconjugate)-ZW800 [ | |||
| PET/MRI | 4T1 (m) breast cancer mouse model | 64Cu-NOTA- Mn3O4@PEG [ | c. Nanoparticle | |
| NIRF/MRI | SMMC-7721 (h) hepatic cellular carcinoma mouse model | Gd-DTPA-aptamer-dendrimer-IR783 [ | c. Nanoparticle | |
* Only ex vivo study in human organs included, ** the absorption/emission spectra of FITC (494/518 nm) and some quantum dots officially fall outside the range of NIRF.
Figure 3Endoglin-based imaging in three different animal models. (A) Dual-modality positron emission tomography (PET) and near-infrared fluorescence (NIRF) imaging of CD105 in the 4T1 murine breast cancer model with 64Cu-NOTA-TRC105-800CW. Arrowheads indicate the 4T1 tumor. Adapted from Zhang et al., 2012 [104]. (B) 64Cu-NOTA-TRC105 PET imaging of CD105 in the murine hindlimb ischemia model. Tracer uptake peaked in the ischemic hindlimb (arrowheads) at around 3 days after surgery. CD105-specificity of tracer uptake was confirmed by successful blocking experiments and strong CD105 staining. Adapted from Orbay et al., 2013 [150]. (C) In a rat model of myocardial infarction, confirmed by the gap in the 18F-FDG PET image (arrowhead), 64Cu-NOTA-TRC105 PET allowed for noninvasive imaging of CD105 in vivo (arrowhead). The wound was also delineated by the tracer since it has a high level of angiogenesis and CD105 expression. Adapted from Orbay et al. 2013 [152].
Overview of current endoglin-based cardiovascular disease imaging studies, categorized by imaging modality, disease model, and imaging agent.
| Imaging Principle | Specific | Model | Tracer | Class |
|---|---|---|---|---|
| Nuclear imaging | PET | Murine hindlimb ischemia | 64Cu-NOTA-TRC105 [ | a. Antibody |
| Rat myocardial infarction (LAD ligation) | 64Cu-NOTA-TRC105 [ | |||
| Abdominal aortic aneurysm mouse model (calcium phosphate-induced) | 64Cu-NOTA-TRC105-Fab [ |