Literature DB >> 29967252

CD8+ T-Cell Density Imaging with 64Cu-Labeled Cys-Diabody Informs Immunotherapy Protocols.

Anna M Wu1, Katherine W Ferrara2, Jai Woong Seo3, Richard Tavaré1, Lisa M Mahakian3, Matthew T Silvestrini3, Sarah Tam3, Elizabeth S Ingham3, Felix B Salazar1, Alexander D Borowsky4.   

Abstract

Purpose: Noninvasive and quantitative tracking of CD8+ T cells by PET has emerged as a potential technique to gauge response to immunotherapy. We apply an anti-CD8 cys-diabody, labeled with 64Cu, to assess the sensitivity of PET imaging of normal and diseased tissue.Experimental Design: Radiolabeling of an anti-CD8 cys-diabody (169cDb) with 64Cu was developed. The accumulation of 64Cu-169cDb was evaluated with PET/CT imaging (0, 5, and 24 hours) and biodistribution (24 hours) in wild-type mouse strains (n = 8/group studied with imaging and IHC or flow cytometry) after intravenous administration. Tumor-infiltrating CD8+ T cells in tumor-bearing mice treated with CpG and αPD-1 were quantified and mapped (n = 6-8/group studied with imaging and IHC or flow cytometry).
Results: We demonstrate the ability of immunoPET to detect small differences in CD8+ T-cell distribution between mouse strains and across lymphoid tissues, including the intestinal tract of normal mice. In FVB mice bearing a syngeneic HER2-driven model of mammary adenocarcinoma (NDL), 64Cu-169cDb PET imaging accurately visualized and quantified changes in tumor-infiltrating CD8+ T cells in response to immunotherapy. A reduction in the circulation time of the imaging probe followed the development of treatment-related liver and splenic hypertrophy and provided an indication of off-target effects associated with immunotherapy protocols.Conclusions: 64Cu-169cDb imaging can spatially map the distribution of CD8+ T cells in normal organs and tumors. ImmunoPET imaging of tumor-infiltrating cytotoxic CD8+ T cells detected changes in T-cell density resulting from adjuvant and checkpoint immunotherapy protocols in our preclinical evaluation. Clin Cancer Res; 24(20); 4976-87. ©2018 AACR. ©2018 American Association for Cancer Research.

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Year:  2018        PMID: 29967252      PMCID: PMC6215696          DOI: 10.1158/1078-0432.CCR-18-0261

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  64 in total

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2.  Reporter gene imaging of targeted T cell immunotherapy in recurrent glioma.

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Journal:  Sci Transl Med       Date:  2017-01-18       Impact factor: 17.956

Review 3.  Total-Body PET: Maximizing Sensitivity to Create New Opportunities for Clinical Research and Patient Care.

Authors:  Simon R Cherry; Terry Jones; Joel S Karp; Jinyi Qi; William W Moses; Ramsey D Badawi
Journal:  J Nucl Med       Date:  2017-09-21       Impact factor: 10.057

4.  Predominant infiltration of macrophages and CD8(+) T Cells in cancer nests is a significant predictor of survival in stage IV nonsmall cell lung cancer.

Authors:  Osamu Kawai; Genichiro Ishii; Kaoru Kubota; Yukinori Murata; Yoichi Naito; Tetsuya Mizuno; Keiju Aokage; Nagahiro Saijo; Yutaka Nishiwaki; Akihiko Gemma; Syoji Kudoh; Atsushi Ochiai
Journal:  Cancer       Date:  2008-09-15       Impact factor: 6.860

Review 5.  The Next Hurdle in Cancer Immunotherapy: Overcoming the Non-T-Cell-Inflamed Tumor Microenvironment.

Authors:  Thomas F Gajewski
Journal:  Semin Oncol       Date:  2015-06-03       Impact factor: 4.929

6.  Quantitation of fixative-induced morphologic and antigenic variation in mouse and human breast cancers.

Authors:  Robert D Cardiff; Neil E Hubbard; Jesse A Engelberg; Robert J Munn; Claramae H Miller; Judith E Walls; Jane Q Chen; Héctor A Velásquez-García; Jose J Galvez; Katie J Bell; Laurel A Beckett; Yue-Ju Li; Alexander D Borowsky
Journal:  Lab Invest       Date:  2013-02-11       Impact factor: 5.662

Review 7.  New approaches to understanding the immune response to vaccination and infection.

Authors:  David Furman; Mark M Davis
Journal:  Vaccine       Date:  2015-07-29       Impact factor: 3.641

8.  Differential effects of age on circulating and splenic leukocyte populations in C57BL/6 and BALB/c male mice.

Authors:  Lesya M Pinchuk; Nikolay M Filipov
Journal:  Immun Ageing       Date:  2008-02-11       Impact factor: 6.400

9.  Distribution of CD4(pos) -, CD8(pos) - and regulatory T cells in the upper and lower gastrointestinal tract in healthy young subjects.

Authors:  Martin Tauschmann; Barbara Prietl; Gerlies Treiber; Gregor Gorkiewicz; Patrizia Kump; Christoph Högenauer; Thomas R Pieber
Journal:  PLoS One       Date:  2013-11-12       Impact factor: 3.240

10.  Current clinical trials testing the combination of immunotherapy with radiotherapy.

Authors:  Josephine Kang; Sandra Demaria; Silvia Formenti
Journal:  J Immunother Cancer       Date:  2016-09-20       Impact factor: 13.751

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  42 in total

1.  Combining activatable nanodelivery with immunotherapy in a murine breast cancer model.

Authors:  Azadeh Kheirolomoom; Matthew T Silvestrini; Elizabeth S Ingham; Lisa M Mahakian; Sarah M Tam; Spencer K Tumbale; Josquin Foiret; Neil E Hubbard; Alexander D Borowsky; Katherine W Ferrara
Journal:  J Control Release       Date:  2019-04-09       Impact factor: 9.776

2.  Examining Immunotherapy Response Using Multiple Radiotracers.

Authors:  Julian L Goggi; Siddesh V Hartimath; Youyi Hwang; Yun Xuan Tan; Shivashankar Khanapur; Boominathan Ramasamy; Lingfan Jiang; Fui Fong Yong; Peter Cheng; Peng Wen Tan; Mohamed Ar Husaini; Tsz Ying Yuen; Beverly Jieu; Ann-Marie Chacko; Anis Larbi; Laurent Renia; Charles Johannes; Edward G Robins
Journal:  Mol Imaging Biol       Date:  2020-08       Impact factor: 3.488

Review 3.  Non-invasive Reporter Gene Imaging of Cell Therapies, including T Cells and Stem Cells.

Authors:  Candice Ashmore-Harris; Madeleine Iafrate; Adeel Saleem; Gilbert O Fruhwirth
Journal:  Mol Ther       Date:  2020-03-20       Impact factor: 11.454

Review 4.  Imaging-based Biomarkers for Predicting and Evaluating Cancer Immunotherapy Response.

Authors:  Minghao Wu; Yanyan Zhang; Yuwei Zhang; Ying Liu; Mingjie Wu; Zhaoxiang Ye
Journal:  Radiol Imaging Cancer       Date:  2019-11-29

5.  Lymphocyte Infiltration Determines the Hypoxia-Dependent Response to Definitive Chemoradiation in Head-and-Neck Cancer: Results from a Prospective Imaging Trial.

Authors:  Nils H Nicolay; Alexander Rühle; Nicole Wiedenmann; Gabriele Niedermann; Michael Mix; Wolfgang A Weber; Dimos Baltas; Martin Werner; Gian Kayser; Anca-L Grosu
Journal:  J Nucl Med       Date:  2020-08-28       Impact factor: 10.057

6.  ImmunoPET: Concept, Design, and Applications.

Authors:  Weijun Wei; Zachary T Rosenkrans; Jianjun Liu; Gang Huang; Quan-Yong Luo; Weibo Cai
Journal:  Chem Rev       Date:  2020-03-23       Impact factor: 60.622

Review 7.  Imaging of T-cell Responses in the Context of Cancer Immunotherapy.

Authors:  Zebin Xiao; Ellen Puré
Journal:  Cancer Immunol Res       Date:  2021-05       Impact factor: 11.151

8.  Considerations when treating high-grade pediatric glioma patients with immunotherapy.

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Journal:  Expert Rev Neurother       Date:  2020-12-17       Impact factor: 4.618

9.  Metabolic radiolabeling and in vivo PET imaging of cytotoxic T lymphocytes to guide combination adoptive cell transfer cancer therapy.

Authors:  Dehua Lu; Yanpu Wang; Ting Zhang; Feng Wang; Kui Li; Shixin Zhou; Hua Zhu; Zhi Yang; Zhaofei Liu
Journal:  J Nanobiotechnology       Date:  2021-06-10       Impact factor: 10.435

10.  Radionuclide-based molecular imaging allows CAR-T cellular visualization and therapeutic monitoring.

Authors:  Fuqiang Shao; Yu Long; Hao Ji; Dawei Jiang; Ping Lei; Xiaoli Lan
Journal:  Theranostics       Date:  2021-05-03       Impact factor: 11.556

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