Literature DB >> 32060213

Quantification of PD-L1 Expression with 18F-BMS-986192 PET/CT in Patients with Advanced-Stage Non-Small Cell Lung Cancer.

Marc C Huisman1, Anna-Larissa N Niemeijer2, Albert D Windhorst3, Robert C Schuit3, David Leung4, Wendy Hayes4, Alex Poot3, Idris Bahce2, Teodora Radonic5, Daniela E Oprea-Lager3, Otto S Hoekstra3, Erik Thunnissen5, N Harry Hendrikse3, Egbert F Smit2,6, Adrianus J de Langen2,6, Ronald Boellaard3.   

Abstract

The aim of this work was to quantify the uptake of 18F-BMS-986192, a programmed cell death ligand 1 (PD-L1) adnectin PET tracer, in patients with non-small cell lung cancer. To this end, plasma input kinetic modeling of dynamic tumor uptake data with online arterial blood sampling was performed. In addition, the accuracy of simplified uptake metrics such as SUV was investigated.
Methods: Data from a study with 18F-BMS-986192 in patients with advanced-stage non-small cell lung cancer eligible for nivolumab treatment were used if a dynamic scan was available and lesions were present in the field of view of the dynamic scan. After injection of 18F-BMS-986192, a 60-min dynamic PET/CT scan was started, followed by a 30-min whole-body PET/CT scan. Continuous arterial and discrete arterial and venous blood sampling were performed to determine a plasma input function. Tumor time-activity curves were fitted by several plasma input kinetic models. Simplified uptake parameters included tumor-to-blood ratio as well as several SUV measures.
Results: Twenty-two tumors in 9 patients were analyzed. The arterial plasma input single-tissue reversible compartment model with fitted blood volume fraction seems to be the most preferred model as it best fitted 11 of 18 tumor time-activity curves. The distribution volume (V T ) ranged from 0.4 to 4.8 mL⋅cm-3 Similar values were obtained with an image-derived input function. From the simplified measures, SUV normalized for body weight at 50 and 67 min after injection correlated best with V T , with an R 2 of more than 0.9.
Conclusion: A single-tissue reversible model can be used to quantify tumor uptake of the PD-L1 PET tracer 18F-BMS-986192. SUV at 60 min after injection, normalized for body weight, is an accurate simplified parameter for uptake assessment of baseline studies. To assess its predictive value for response evaluation during programmed cell death protein 1 or PD-L1 immune checkpoint inhibition, further validation of SUV against V T based on an image-derived input function is recommended.
© 2020 by the Society of Nuclear Medicine and Molecular Imaging.

Entities:  

Keywords:  PD-L1 expression; PET/CT; immune checkpoint inhibitors; kinetic modeling

Mesh:

Substances:

Year:  2020        PMID: 32060213     DOI: 10.2967/jnumed.119.240895

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


  12 in total

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Authors:  Circe D van der Heide; Simone U Dalm
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Review 2.  Immune PET Imaging.

Authors:  Osigbemhe Iyalomhe; Michael D Farwell
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3.  Radiopharmaceuticals as Novel Immune System Tracers.

Authors:  Natalie A Ridge; Anne Rajkumar-Calkins; Stephanie O Dudzinski; Austin N Kirschner; Neil B Newman
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Review 4.  Protein scaffolds: antibody alternatives for cancer diagnosis and therapy.

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Review 5.  Development of Radiotracers for Imaging of the PD-1/PD-L1 Axis.

Authors:  Fabian Krutzek; Klaus Kopka; Sven Stadlbauer
Journal:  Pharmaceuticals (Basel)       Date:  2022-06-14

6.  Synthesis and Preclinical Evaluation of a 68Ga-Labeled Adnectin, 68Ga-BMS-986192, as a PET Agent for Imaging PD-L1 Expression.

Authors:  Stephanie Robu; Antonia Richter; Dario Gosmann; Christof Seidl; David Leung; Wendy Hayes; Daniel Cohen; Paul Morin; David J Donnelly; Daša Lipovšek; Samuel J Bonacorsi; Adam Smith; Katja Steiger; Christina Aulehner; Angela M Krackhardt; Wolfgang A Weber
Journal:  J Nucl Med       Date:  2021-01-30       Impact factor: 10.057

Review 7.  Directing evolution of novel ligands by mRNA display.

Authors:  Golnaz Kamalinia; Brian J Grindel; Terry T Takahashi; Steven W Millward; Richard W Roberts
Journal:  Chem Soc Rev       Date:  2021-06-24       Impact factor: 60.615

Review 8.  Insight into the Development of PET Radiopharmaceuticals for Oncology.

Authors:  Joseph Lau; Etienne Rousseau; Daniel Kwon; Kuo-Shyan Lin; François Bénard; Xiaoyuan Chen
Journal:  Cancers (Basel)       Date:  2020-05-21       Impact factor: 6.639

Review 9.  Molecular Immune Targeted Imaging of Tumor Microenvironment.

Authors:  Taha Rakhshandehroo; Bryan Ronain Smith; Hannah J Glockner; Mohammad Rashidian; Neeta Pandit-Taskar
Journal:  Nanotheranostics       Date:  2022-02-15

Review 10.  Potentials of Non-Invasive 18F-FDG PET/CT in Immunotherapy Prediction for Non-Small Cell Lung Cancer.

Authors:  Xuhe Liao; Meng Liu; Rongfu Wang; Jianhua Zhang
Journal:  Front Genet       Date:  2022-02-04       Impact factor: 4.599

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