Skip to main content
Top
Published in: EJNMMI Research 1/2018

Open Access 01-12-2018 | Original research

Anti PD-1 treatment increases [18F]FDG uptake by cancer cells in a mouse B16F10 melanoma model

Authors: Mayu Tomita, Hironobu Yasui, Kei Higashikawa, Kohei Nakajima, Hideo Takakura, Tohru Shiga, Yuji Kuge, Mikako Ogawa

Published in: EJNMMI Research | Issue 1/2018

Login to get access

Abstract

Background

Programmed cell death 1 (PD-1) inhibitors act as immune checkpoint inhibitors and are more effective for improving survival time with less toxicity as compared with conventional chemotherapies. In anti PD-1 therapy, it is important to evaluate metabolism in the cancer microenvironment, as this helps to clarify the pathological conditions. Herein, we investigate the early effects of PD-1 therapy on 2-deoxy-2-[18F]fluoro-d-glucose ([18F]FDG) uptake in vivo, focusing on cell distribution and glycolysis in both cancer and immune cells.

Results

In a B16F10 melanoma model, [18F]FDG-positron emission tomography (PET) was performed before treatment and 7 days after the start of treatment. Values were calculated as the percentage-injected activity per gram of tissue (%IA/g). Flow-cytometry was then performed to assess immune cell populations and glucose metabolism. There was a negligible difference in [18F]FDG uptake between tumors in the treatment group and non-treatment group before the treatment. In contrast, mean [18F]FDG uptake in the treatment group tumors was significantly higher (8.06 ± 0.48 %IA/g; P = 0.0074) than that in the non-treatment group (4.02 ± 1.03 %IA/g) after anti PD-1 treatment. Assessment of tumor immune cell populations showed that treatment slightly enriched CD8+ T cells and CD4+ T cells; however, infiltration of immune cells was negligible, and thus, immune cells were not responsible for the increase in [18F]FDG uptake. On the other hand, anti PD-1 treatment significantly increased glucose transporter 1 (GLUT1) and hexokinase II expression in CD45 cancer cells, indicating that anti PD-1 treatment increased glucose metabolism in cancer cells.

Conclusion

The present study shows that anti PD-1 therapy increases glucose metabolism in cancer cells.
Appendix
Available only for authorised users
Literature
1.
go back to reference Iwai Y, Ishida M, Tanaka Y, Okazaki T, Honjo T, Minato N. Involvement of PD-L1 on tumor cells in the escape from host immune system and tumor immunotherapy by PD-L1 blockade. Proc Natl Acad Sci U S A. 2002;6:2–6. Iwai Y, Ishida M, Tanaka Y, Okazaki T, Honjo T, Minato N. Involvement of PD-L1 on tumor cells in the escape from host immune system and tumor immunotherapy by PD-L1 blockade. Proc Natl Acad Sci U S A. 2002;6:2–6.
2.
go back to reference Okazaki T, Chikuma S, Iwai Y, Fagarasan S, Honjo T. A rheostat for immune responses: the unique properties of PD-1 and their advantages for clinical application. Nat Immunol. 2013;14:1212–8.CrossRefPubMed Okazaki T, Chikuma S, Iwai Y, Fagarasan S, Honjo T. A rheostat for immune responses: the unique properties of PD-1 and their advantages for clinical application. Nat Immunol. 2013;14:1212–8.CrossRefPubMed
3.
go back to reference Zhang T, Xie J, Arai S, et al. The efficacy and safety of anti-PD-1/PD-L1 antibodies for treatment of advanced or refractory cancers: a meta-analysis. Oncotarget. 2016;7:73068–79.PubMedPubMedCentral Zhang T, Xie J, Arai S, et al. The efficacy and safety of anti-PD-1/PD-L1 antibodies for treatment of advanced or refractory cancers: a meta-analysis. Oncotarget. 2016;7:73068–79.PubMedPubMedCentral
4.
6.
go back to reference Almeida L, Lochner M, Berod L, Sparwasser T. Metabolic pathways in T cell activation and lineage differentiation. Semin Immunol. 2016;28:514–24.CrossRefPubMed Almeida L, Lochner M, Berod L, Sparwasser T. Metabolic pathways in T cell activation and lineage differentiation. Semin Immunol. 2016;28:514–24.CrossRefPubMed
7.
go back to reference Chang CH, Qiu J, O’Sullivan D, et al. Metabolic competition in the tumor microenvironment is a driver of cancer progression. Cell. 2015;162:1229–41.CrossRefPubMedPubMedCentral Chang CH, Qiu J, O’Sullivan D, et al. Metabolic competition in the tumor microenvironment is a driver of cancer progression. Cell. 2015;162:1229–41.CrossRefPubMedPubMedCentral
8.
9.
go back to reference Kong BY, Menzies AM, Saunders CAB, et al. Residual FDG-PET metabolic activity in metastatic melanoma patients with prolonged response to anti-PD-1 therapy. Pigment Cell Melanoma Res. 2016;29:572–7.CrossRefPubMed Kong BY, Menzies AM, Saunders CAB, et al. Residual FDG-PET metabolic activity in metastatic melanoma patients with prolonged response to anti-PD-1 therapy. Pigment Cell Melanoma Res. 2016;29:572–7.CrossRefPubMed
10.
go back to reference Cho SY, Lipson EJ, Im H-J, et al. Prediction of response to immune checkpoint inhibitor therapy using early time-point FDG-PET/CT imaging in patients with advanced melanoma. J Nucl Med. 2017;58:1421–28. Cho SY, Lipson EJ, Im H-J, et al. Prediction of response to immune checkpoint inhibitor therapy using early time-point FDG-PET/CT imaging in patients with advanced melanoma. J Nucl Med. 2017;58:1421–28.
11.
go back to reference Sachpekidis C, Larribere L, Pan L, Haberkorn U, Dimitrakopoulou-Strauss A, Hassel JC. Predictive value of early 18F-FDG PET/CT studies for treatment response evaluation to ipilimumab in metastatic melanoma: preliminary results of an ongoing study. Eur J Nucl Med Mol Imaging. 2015;42:386–96.CrossRefPubMed Sachpekidis C, Larribere L, Pan L, Haberkorn U, Dimitrakopoulou-Strauss A, Hassel JC. Predictive value of early 18F-FDG PET/CT studies for treatment response evaluation to ipilimumab in metastatic melanoma: preliminary results of an ongoing study. Eur J Nucl Med Mol Imaging. 2015;42:386–96.CrossRefPubMed
12.
go back to reference Higuchi M, Owada Y, Inoue T, et al. FDG-PET in the evaluation of response to nivolumab in recurrent non-small-cell lung cancer. World J Surg Oncol. 2016;14:238.CrossRefPubMedPubMedCentral Higuchi M, Owada Y, Inoue T, et al. FDG-PET in the evaluation of response to nivolumab in recurrent non-small-cell lung cancer. World J Surg Oncol. 2016;14:238.CrossRefPubMedPubMedCentral
13.
go back to reference Liberti MV, Locasale JW. The Warburg effect: how does it benefit cancer cells? Trends Biochem Sci. 2016;41(3):211–218. Liberti MV, Locasale JW. The Warburg effect: how does it benefit cancer cells? Trends Biochem Sci. 2016;41(3):211–218.
14.
go back to reference Magota K, Kubo N, Kuge Y, Nishijima KI, Zhao S, Tamaki N. Performance characterization of the Inveon preclinical small-animal PET/SPECT/CT system for multimodality imaging. Eur J Nucl Med Mol Imaging. 2011;38:742–52.CrossRefPubMed Magota K, Kubo N, Kuge Y, Nishijima KI, Zhao S, Tamaki N. Performance characterization of the Inveon preclinical small-animal PET/SPECT/CT system for multimodality imaging. Eur J Nucl Med Mol Imaging. 2011;38:742–52.CrossRefPubMed
15.
go back to reference Vaidyanathan S, Patel CN, Scarsbrook AF, Chowdhury FU. FDG PET/CT in infection and inflammation - current and emerging clinical applications. Clin Radiol. 2015;70:787–800.CrossRefPubMed Vaidyanathan S, Patel CN, Scarsbrook AF, Chowdhury FU. FDG PET/CT in infection and inflammation - current and emerging clinical applications. Clin Radiol. 2015;70:787–800.CrossRefPubMed
16.
go back to reference Chen S, Lee L-F, Fisher TS, et al. Combination of 4-1BB agonist and PD-1 antagonist promotes antitumor effector/memory CD8 T cells in a poorly immunogenic tumor model. Cancer Immunol Res. 2014;3:149–60.CrossRefPubMed Chen S, Lee L-F, Fisher TS, et al. Combination of 4-1BB agonist and PD-1 antagonist promotes antitumor effector/memory CD8 T cells in a poorly immunogenic tumor model. Cancer Immunol Res. 2014;3:149–60.CrossRefPubMed
17.
go back to reference Seith F, Forschner A, Schmidt H, et al. 18F-FDG-PET detects complete response to PD1-therapy in melanoma patients two weeks after therapy start. Eur J Nucl Med Mol Imaging. 2018;45:95–101. Seith F, Forschner A, Schmidt H, et al. 18F-FDG-PET detects complete response to PD1-therapy in melanoma patients two weeks after therapy start. Eur J Nucl Med Mol Imaging. 2018;45:95–101.
18.
go back to reference Dercle L, Seban R, Lazarovici J, et al. PET and CT scans detect new imaging patterns of response and progression in patients with Hodgkin lymphoma treated by anti–programmed death 1 immune checkpoint inhibitor. J Nucl Med.2018;59:15–25. Dercle L, Seban R, Lazarovici J, et al. PET and CT scans detect new imaging patterns of response and progression in patients with Hodgkin lymphoma treated by anti–programmed death 1 immune checkpoint inhibitor. J Nucl Med.2018;59:15–25.
19.
go back to reference Radu CG, Shu CJ, Nair-gill E, et al. Molecular imaging of lymphoid organs and immune activation by positron emission tomography with a new [18F]-labeled 2'-deoxycytidine analog. Nat Med. 2008;14:783–8. Radu CG, Shu CJ, Nair-gill E, et al. Molecular imaging of lymphoid organs and immune activation by positron emission tomography with a new [18F]-labeled 2'-deoxycytidine analog. Nat Med. 2008;14:783–8.
20.
go back to reference Lechner MG, Karimi SS, Barry-Holson K, et al. Immunogenicity of murine solid tumor models as a defining feature of in vivo behavior and response to immunotherapy. J Immunother. 2013;36:477–89.CrossRefPubMedPubMedCentral Lechner MG, Karimi SS, Barry-Holson K, et al. Immunogenicity of murine solid tumor models as a defining feature of in vivo behavior and response to immunotherapy. J Immunother. 2013;36:477–89.CrossRefPubMedPubMedCentral
21.
22.
go back to reference Vaughan RA, Garcia-smith R, Trujillo KA, Bisof M. Tumor necrosis factor alpha increases aerobic glycolysis and reduces oxidative metabolism in prostate epithelial cells. Prostate. 2013;1546:1538–46. Vaughan RA, Garcia-smith R, Trujillo KA, Bisof M. Tumor necrosis factor alpha increases aerobic glycolysis and reduces oxidative metabolism in prostate epithelial cells. Prostate. 2013;1546:1538–46.
23.
go back to reference Kasahara N, Kaira K, Bao P, et al. Lung cancer correlation of tumor-related immunity with 18F-FDG-PET in pulmonary squamous-cell carcinoma. Lung Cancer. 2018;119:71–7.CrossRefPubMed Kasahara N, Kaira K, Bao P, et al. Lung cancer correlation of tumor-related immunity with 18F-FDG-PET in pulmonary squamous-cell carcinoma. Lung Cancer. 2018;119:71–7.CrossRefPubMed
24.
go back to reference Haratake N, Toyokawa G, Tagawa T, et al. Positive conversion of PD-L1 expression after treatments with chemotherapy and nivolumab. Anticancer Res. 2017;37:5713–7.PubMed Haratake N, Toyokawa G, Tagawa T, et al. Positive conversion of PD-L1 expression after treatments with chemotherapy and nivolumab. Anticancer Res. 2017;37:5713–7.PubMed
25.
go back to reference Liu Y. Clinical significance of diffusely increased splenic uptake on FDG-PET. Nucl Med Commun. 2009;30:763–9.CrossRefPubMed Liu Y. Clinical significance of diffusely increased splenic uptake on FDG-PET. Nucl Med Commun. 2009;30:763–9.CrossRefPubMed
26.
go back to reference Callahan MK, Postow MA, Wolchok JD. Targeting T cell co-receptors for cancer therapy. Immunity. 2016;44:1069–78.CrossRefPubMed Callahan MK, Postow MA, Wolchok JD. Targeting T cell co-receptors for cancer therapy. Immunity. 2016;44:1069–78.CrossRefPubMed
27.
go back to reference Philips GK, Atkins M. Therapeutic uses of anti-PD-1 and anti-PD-L1 antibodies. Int Immunol. 2018;27:39–46.CrossRef Philips GK, Atkins M. Therapeutic uses of anti-PD-1 and anti-PD-L1 antibodies. Int Immunol. 2018;27:39–46.CrossRef
28.
go back to reference Tumeh PC, Harview CL, Yearley JH, et al. PD-1 blockade induces responses by inhibiting adaptive immune resistance. Nature. 2015;515:568–71.CrossRef Tumeh PC, Harview CL, Yearley JH, et al. PD-1 blockade induces responses by inhibiting adaptive immune resistance. Nature. 2015;515:568–71.CrossRef
Metadata
Title
Anti PD-1 treatment increases [18F]FDG uptake by cancer cells in a mouse B16F10 melanoma model
Authors
Mayu Tomita
Hironobu Yasui
Kei Higashikawa
Kohei Nakajima
Hideo Takakura
Tohru Shiga
Yuji Kuge
Mikako Ogawa
Publication date
01-12-2018
Publisher
Springer Berlin Heidelberg
Published in
EJNMMI Research / Issue 1/2018
Electronic ISSN: 2191-219X
DOI
https://doi.org/10.1186/s13550-018-0433-1

Other articles of this Issue 1/2018

EJNMMI Research 1/2018 Go to the issue