Literature DB >> 26069306

PET Imaging of Macrophage Mannose Receptor-Expressing Macrophages in Tumor Stroma Using 18F-Radiolabeled Camelid Single-Domain Antibody Fragments.

Anneleen Blykers1, Steve Schoonooghe2, Catarina Xavier3, Kevin D'hoe2, Damya Laoui2, Matthias D'Huyvetter3, Ilse Vaneycken4, Frederik Cleeren5, Guy Bormans5, Johannes Heemskerk4, Geert Raes2, Patrick De Baetselier2, Tony Lahoutte4, Nick Devoogdt6, Jo A Van Ginderachter2, Vicky Caveliers4.   

Abstract

UNLABELLED: Tumor-associated macrophages constitute a major component of the stroma of solid tumors, encompassing distinct subpopulations with different characteristics and functions. We aimed to identify M2-oriented tumor-supporting macrophages within the tumor microenvironment as indicators of cancer progression and prognosis, using PET imaging. This can be realized by designing (18)F-labeled camelid single-domain antibody fragments (sdAbs) specifically targeting the macrophage mannose receptor (MMR), which has been identified as an important biomarker on this cell population.
METHODS: Cross-reactive anti-MMR sdAbs were generated after immunization of an alpaca with the extracellular domains of both human and mouse MMR. The lead binder was chosen on the basis of comparisons of binding affinity and in vivo pharmacokinetics. The PET tracer (18)F-fluorobenzoate (FB)-anti-MMR sdAb was developed using the prosthetic group N-succinimidyl-4-(18)F-fluorobenzoate ((18)F-SFB), and its biodistribution, tumor-targeting potential, and specificity in terms of macrophage and MMR targeting were evaluated in mouse tumor models.
RESULTS: Four sdAbs were selected after affinity screening, but only 2 were found to be cross-reactive for human and mouse MMR. The lead anti-MMR 3.49 sdAb, bearing an affinity of 12 and 1.8 nM for mouse and human MMR, respectively, was chosen for its favorable in vivo biodistribution profile and tumor-targeting capacity. (18)F-FB-anti-MMR 3.49 sdAb was synthesized with a 5%-10% radiochemical yield using an automated and optimized protocol. In vivo biodistribution analyses showed fast clearance via the kidneys and retention in MMR-expressing organs and tumor. The kidney retention of the fluorinated sdAb was 20-fold lower than a (99m)Tc-labeled counterpart. Compared with MMR- and C-C chemokine receptor 2-deficient mice, significantly higher uptake was observed in tumors grown in wild-type mice, demonstrating the specificity of the (18)F tracer for MMR and macrophages, respectively.
CONCLUSION: Anti-MMR 3.49 was denoted as the lead cross-reactive MMR-targeting sdAb. (18)F radiosynthesis was optimized, providing an optimal probe for PET imaging of the tumor-promoting macrophage subpopulation in the tumor stroma.
© 2015 by the Society of Nuclear Medicine and Molecular Imaging, Inc.

Entities:  

Keywords:  18F; PET; camelid single-domain antibody fragment (sdAb); macrophage mannose receptor (MMR); tumor microenvironment

Mesh:

Substances:

Year:  2015        PMID: 26069306     DOI: 10.2967/jnumed.115.156828

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  52 in total

1.  Preclinical Evaluation of 18F-Labeled Anti-HER2 Nanobody Conjugates for Imaging HER2 Receptor Expression by Immuno-PET.

Authors:  Ganesan Vaidyanathan; Darryl McDougald; Jaeyeon Choi; Eftychia Koumarianou; Douglas Weitzel; Takuya Osada; H Kim Lyerly; Michael R Zalutsky
Journal:  J Nucl Med       Date:  2016-02-18       Impact factor: 10.057

2.  Noninvasive monitoring of cancer therapy induced activated T cells using [18F]FB-IL-2 PET imaging.

Authors:  S V Hartimath; O Draghiciu; S van de Wall; V Manuelli; R A J O Dierckx; H W Nijman; T Daemen; E F J de Vries
Journal:  Oncoimmunology       Date:  2016-11-18       Impact factor: 8.110

Review 3.  The Immunoimaging Toolbox.

Authors:  Aaron T Mayer; Sanjiv S Gambhir
Journal:  J Nucl Med       Date:  2018-05-24       Impact factor: 10.057

4.  Clinical Translation of [68Ga]Ga-NOTA-anti-MMR-sdAb for PET/CT Imaging of Protumorigenic Macrophages.

Authors:  Catarina Xavier; Anneleen Blykers; Damya Laoui; Evangelia Bolli; Ilse Vaneyken; Jessica Bridoux; Henri Baudhuin; Geert Raes; Hendrik Everaert; Kiavash Movahedi; Jo A Van Ginderachter; Nick Devoogdt; Vicky Caveliers; Tony Lahoutte; Marleen Keyaerts
Journal:  Mol Imaging Biol       Date:  2019-10       Impact factor: 3.488

Review 5.  Advances in PET Detection of the Antitumor T Cell Response.

Authors:  M N McCracken; R Tavaré; O N Witte; A M Wu
Journal:  Adv Immunol       Date:  2016-04-05       Impact factor: 3.543

Review 6.  Aligning physics and physiology: Engineering antibodies for radionuclide delivery.

Authors:  Wen-Ting K Tsai; Anna M Wu
Journal:  J Labelled Comp Radiopharm       Date:  2018-05-15       Impact factor: 1.921

7.  Evaluation of [99mTc]Radiolabeled Macrophage Mannose Receptor-Specific Nanobodies for Targeting of Atherosclerotic Lesions in Mice.

Authors:  Gezim Bala; Henri Baudhuin; Isabel Remory; Kris Gillis; Pieterjan Debie; Ahmet Krasniqi; Tony Lahoutte; Geert Raes; Nick Devoogdt; Bernard Cosyns; Sophie Hernot
Journal:  Mol Imaging Biol       Date:  2018-04       Impact factor: 3.488

8.  Improved Debulking of Peritoneal Tumor Implants by Near-Infrared Fluorescent Nanobody Image Guidance in an Experimental Mouse Model.

Authors:  Pieterjan Debie; Marian Vanhoeij; Natalie Poortmans; Janik Puttemans; Kris Gillis; Nick Devoogdt; Tony Lahoutte; Sophie Hernot
Journal:  Mol Imaging Biol       Date:  2018-06       Impact factor: 3.488

9.  An Effective Immuno-PET Imaging Method to Monitor CD8-Dependent Responses to Immunotherapy.

Authors:  Richard Tavaré; Helena Escuin-Ordinas; Stephen Mok; Melissa N McCracken; Kirstin A Zettlitz; Felix B Salazar; Owen N Witte; Antoni Ribas; Anna M Wu
Journal:  Cancer Res       Date:  2015-11-16       Impact factor: 12.701

10.  Non-Invasive Imaging of Amyloid Deposits in a Mouse Model of AGel Using 99mTc-Modified Nanobodies and SPECT/CT.

Authors:  Adriaan Verhelle; Wouter Van Overbeke; Cindy Peleman; Rebecca De Smet; Olivier Zwaenepoel; Tony Lahoutte; Jo Van Dorpe; Nick Devoogdt; Jan Gettemans
Journal:  Mol Imaging Biol       Date:  2016-12       Impact factor: 3.488

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