Glucose–Thymidine Ratio as a Metabolism Index Using 18F-FDG and 18F-FLT PET Uptake as a Potential Imaging Biomarker for Evaluating Immune Checkpoint Inhibitor Therapy

Immune checkpoint inhibitors (ICIs) are widely used in cancer immunotherapy, requiring effective methods for response monitoring. This study evaluated changes in 18F-2-fluoro-2-deoxy-D-glucose (FDG) and 18F-fluorothymidine (FLT) uptake by tumors following ICI treatment as potential imaging biomarkers in mice. Tumor uptakes of 18F-FDG and 18F-FLT were measured and compared between the ICI treatment and control groups. A combined imaging index of glucose–thymidine uptake ratio (GTR) was defined and compared between groups. In the ICI treatment group, tumor growth was effectively inhibited, and higher proportions of immune cells were observed. In the early phase, 18F-FDG uptake was higher in the treatment group, whereas 18F-FLT uptake was not different. There was no difference in 18F-FDG uptake between the two groups in the late phase. However, 18F-FLT uptake of the control group was markedly increased compared with the ICI treatment group. GTR was consistently higher in the ICI treatment group in the early and late phases. After ICI treatment, changes in tumor cell proliferation were observed with 18F-FLT, whereas 18F-FDG showed altered metabolism in both tumor and immune cells. A combination of 18F-FLT and 18F-FDG PET, such as GTR, is expected to serve as a potentially effective imaging biomarker for monitoring ICI treatment.

[1]  J. Ficker,et al.  Clinically relevant prognostic and predictive markers for immune-checkpoint-inhibitor (ICI) therapy in non-small cell lung cancer (NSCLC) , 2020, BMC Cancer.

[2]  Yakun Wan,et al.  Nuclear imaging-guided PD-L1 blockade therapy increases effectiveness of cancer immunotherapy , 2020, Journal for ImmunoTherapy of Cancer.

[3]  P. Marchetti,et al.  Immunotherapy in the Treatment of Metastatic Melanoma: Current Knowledge and Future Directions , 2020, Journal of immunology research.

[4]  Steve Y. Cho,et al.  FDG PET/CT for Assessment of Immune Therapy: Opportunities and Understanding Pitfalls. , 2020, Seminars in nuclear medicine.

[5]  J. Wolchok,et al.  The future of cancer immunotherapy: microenvironment-targeting combinations , 2020, Cell Research.

[6]  P. Conte,et al.  Novel Nuclear Medicine Imaging Applications in Immuno-Oncology , 2020, Cancers.

[7]  G. Bormans,et al.  Development and Evaluation of Interleukin-2–Derived Radiotracers for PET Imaging of T Cells in Mice , 2020, The Journal of Nuclear Medicine.

[8]  P. Decazes,et al.  Immunotherapy by Immune Checkpoint Inhibitors and Nuclear Medicine Imaging: Current and Future Applications , 2020, Cancers.

[9]  Haijun Yu,et al.  Molecular imaging for cancer immunotherapy: Seeing is believing. , 2020, Bioconjugate chemistry.

[10]  Jie Tian,et al.  Noninvasive imaging in cancer immunotherapy: the way to precision medicine. , 2019, Cancer letters.

[11]  L. Schwartz,et al.  Prognostic and theranostic 18F-FDG PET biomarkers for anti-PD1 immunotherapy in metastatic melanoma: association with outcome and transcriptomics , 2019, European Journal of Nuclear Medicine and Molecular Imaging.

[12]  M. Szewczuk,et al.  Current Challenges in Cancer Immunotherapy: Multimodal Approaches to Improve Efficacy and Patient Response Rates , 2019, Journal of oncology.

[13]  C. Caux,et al.  Cold Tumors: A Therapeutic Challenge for Immunotherapy , 2019, Front. Immunol..

[14]  Rachel S. Riley,et al.  Delivery technologies for cancer immunotherapy , 2019, Nature Reviews Drug Discovery.

[15]  Huiyang Zhou,et al.  Tumor-immune profiling of murine syngeneic tumor models as a framework to guide mechanistic studies and predict therapy response in distinct tumor microenvironments , 2018, PloS one.

[16]  S. Fanti,et al.  FDG PET/CT for assessing tumour response to immunotherapy , 2018, European Journal of Nuclear Medicine and Molecular Imaging.

[17]  K. Flaherty,et al.  Granzyme B PET Imaging as a Predictive Biomarker of Immunotherapy Response. , 2017, Cancer research.

[18]  Shi Qi,et al.  18F-FLT and 18F-FDG PET/CT in Predicting Response to Chemoradiotherapy in Nasopharyngeal Carcinoma: Preliminary Results , 2017, Scientific Reports.

[19]  Simon J. Dovedi,et al.  Rational Selection of Syngeneic Preclinical Tumor Models for Immunotherapeutic Drug Discovery , 2016, Cancer Immunology Research.

[20]  Emily B. Ehlerding,et al.  Molecular Imaging of Immunotherapy Targets in Cancer , 2016, The Journal of Nuclear Medicine.

[21]  J. Valliant,et al.  Imaging Biomarkers in Immunotherapy , 2016, Biomarkers in cancer.

[22]  M. Atkins,et al.  Toxicities of Immunotherapy for the Practitioner. , 2015, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[23]  G. Linette,et al.  Nivolumab and ipilimumab versus ipilimumab in untreated melanoma. , 2015, The New England journal of medicine.

[24]  Ralph Weissleder,et al.  Noninvasive imaging of immune responses , 2015, Proceedings of the National Academy of Sciences.

[25]  A. Epstein,et al.  Immunogenicity of Murine Solid Tumor Models as a Defining Feature of In Vivo Behavior and Response to Immunotherapy , 2013, Journal of immunotherapy.

[26]  George Coukos,et al.  Cancer immunotherapy comes of age , 2011, Nature.

[27]  H. Hoekstra,et al.  [18F]FLT-PET in oncology: current status and opportunities , 2004, European Journal of Nuclear Medicine and Molecular Imaging.

[28]  A. Ribas,et al.  An Effective Immuno-PET Imaging Method to Monitor CD8-Dependent Responses to Immunotherapy. , 2016, Cancer research.