Literature DB >> 26307602

Novel Radiotracer for ImmunoPET Imaging of PD-1 Checkpoint Expression on Tumor Infiltrating Lymphocytes.

Arutselvan Natarajan1, Aaron T Mayer1, Lingyun Xu1, Robert E Reeves1, Jacob Gano1, Sanjiv S Gambhir1.   

Abstract

Immune checkpoint signaling through the programmed death 1 (PD-1) axis to its ligand (PD-L1) significantly dampens anti-tumor immune responses. Cancer patients treated with checkpoint inhibitors that block this suppressive signaling have exhibited objective response rates of 20-40% for advanced solid tumors, lymphomas, and malignant melanomas. This represents a tremendous advance in cancer treatment. Unfortunately, all patients do not respond to immune checkpoint blockade. Recent findings suggest that patients with tumor infiltrating lymphocytes (TILs) expressing PD-1 may be most likely to respond to αPD-1/PD-L1 checkpoint inhibitors. There is a compelling need for diagnostic and prognostic imaging tools to assess the PD-1 status of TILs in vivo. Here we have developed a novel immunoPET tracer to image PD-1 expressing TILs in a transgenic mouse model bearing melanoma. A (64)Cu labeled anti-mouse antibody (IgG) PD-1 immuno positron emission tomography (PET) tracer was developed to detect PD-1 expressing murine TILs. Quality control of the tracer showed >95% purity by HPLC and >70% immunoreactivity in an in vitro cell binding assay. ImmunoPET scans were performed over 1-48 h on Foxp3+.LuciDTR4 mice bearing B16-F10 melanoma tumors. Mice receiving anti-PD-1 tracer (200 ± 10 μCi/10-12 μg/200 μL) revealed high tracer uptake in lymphoid organs and tumors. BLI images of FoxP3(+) CD4(+) Tregs known to express PD-1 confirmed lymphocyte infiltration of tumors at the time of PET imaging. Biodistribution measurements performed at 48 h revealed a high (11×) tumor to muscle uptake ratio of the PET tracer (p < 0.05). PD-1 tumors exhibited 7.4 ± 0.7%ID/g tracer uptake and showed a 2× fold signal decrease when binding was blocked by unlabeled antibody. To the best of our knowledge this data is the first report to image PD-1 expression in living subjects with PET. This radiotracer has the potential to assess the prognostic value of PD-1 in preclinical models of immunotherapy and may ultimately aid in predicting response to therapies targeting immune checkpoints.

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Year:  2015        PMID: 26307602     DOI: 10.1021/acs.bioconjchem.5b00318

Source DB:  PubMed          Journal:  Bioconjug Chem        ISSN: 1043-1802            Impact factor:   4.774


  63 in total

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Authors:  Weijun Wei; Dawei Jiang; Emily B Ehlerding; Quanyong Luo; Weibo Cai
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3.  Noninvasive monitoring of cancer therapy induced activated T cells using [18F]FB-IL-2 PET imaging.

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Review 4.  The Immunoimaging Toolbox.

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

5.  Development of Novel ImmunoPET Tracers to Image Human PD-1 Checkpoint Expression on Tumor-Infiltrating Lymphocytes in a Humanized Mouse Model.

Authors:  Arutselvan Natarajan; Aaron T Mayer; Robert E Reeves; Claude M Nagamine; Sanjiv Sam Gambhir
Journal:  Mol Imaging Biol       Date:  2017-12       Impact factor: 3.488

6.  Tumor-Localized Secretion of Soluble PD1 Enhances Oncolytic Virotherapy.

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Journal:  Cancer Res       Date:  2017-03-17       Impact factor: 12.701

7.  IFNγ PET Imaging as a Predictive Tool for Monitoring Response to Tumor Immunotherapy.

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Journal:  Cancer Res       Date:  2018-08-16       Impact factor: 12.701

Review 8.  Immune Checkpoint Imaging in Oncology: A Game Changer Toward Personalized Immunotherapy?

Authors:  Susanne Lütje; Georg Feldmann; Markus Essler; Peter Brossart; Ralph A Bundschuh
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Review 9.  Imaging of Cancer Immunotherapy: Current Approaches and Future Directions.

Authors:  Mizuki Nishino; Hiroto Hatabu; F Stephen Hodi
Journal:  Radiology       Date:  2018-11-20       Impact factor: 11.105

Review 10.  Molecular Imaging of Immunotherapy Targets in Cancer.

Authors:  Emily B Ehlerding; Christopher G England; Douglas G McNeel; Weibo Cai
Journal:  J Nucl Med       Date:  2016-07-28       Impact factor: 10.057

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