Literature DB >> 33020241

89Zr-pembrolizumab biodistribution is influenced by PD-1-mediated uptake in lymphoid organs.

Elly L van der Veen1, Danique Giesen1, Linda Pot-de Jong1, Annelies Jorritsma-Smit2, Elisabeth G E De Vries1, Marjolijn N Lub-de Hooge3,4.   

Abstract

BACKGROUND: To better predict response to immune checkpoint therapy and toxicity in healthy tissues, insight in the in vivo behavior of immune checkpoint targeting monoclonal antibodies is essential. Therefore, we aimed to study in vivo pharmacokinetics and whole-body distribution of zirconium-89 (89Zr) labeled programmed cell death protein-1 (PD-1) targeting pembrolizumab with positron-emission tomography (PET) in humanized mice.
METHODS: Humanized (huNOG) and non-humanized NOG mice were xenografted with human A375M melanoma cells. PET imaging was performed on day 7 post 89Zr-pembrolizumab (10 µg, 2.5 MBq) administration, followed by ex vivo biodistribution studies. Other huNOG mice bearing A375M tumors received a co-injection of excess (90 µg) unlabeled pembrolizumab or 89Zr-IgG4 control (10 µg, 2.5 MBq). Tumor and spleen tissue were studied with autoradiography and immunohistochemically including PD-1.
RESULTS: PET imaging and biodistribution studies showed high 89Zr-pembrolizumab uptake in tissues containing human immune cells, including spleen, lymph nodes and bone marrow. Tumor uptake of 89Zr-pembrolizumab was lower than uptake in lymphoid tissues, but higher than uptake in other organs. High uptake in lymphoid tissues could be reduced by excess unlabeled pembrolizumab. Tracer activity in blood pool was increased by addition of unlabeled pembrolizumab, but tumor uptake was not affected. Autoradiography supported PET findings and immunohistochemical staining on spleen and lymph node tissue showed PD-1 positive cells, whereas tumor tissue was PD-1 negative.
CONCLUSION: 89Zr-pembrolizumab whole-body biodistribution showed high PD-1-mediated uptake in lymphoid tissues, such as spleen, lymph nodes and bone marrow, and modest tumor uptake. Our data may enable evaluation of 89Zr-pembrolizumab whole-body distribution in patients. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  T-lymphocytes; immunotherapy; tumor biomarkers

Year:  2020        PMID: 33020241      PMCID: PMC7537332          DOI: 10.1136/jitc-2020-000938

Source DB:  PubMed          Journal:  J Immunother Cancer        ISSN: 2051-1426            Impact factor:   13.751


Background

Immune checkpoint inhibitors targeting the programmed cell death protein-1 (PD-1/programmed death ligand-1 (PD-L1) pathway are showing impressive antitumor effects. However, not all patients respond and serious immune-related toxicity has been reported.1 This has raised interest in better understanding the behavior of these drugs in the human body. PD-L1 and PD-1 are expressed by a broad range of immune cells, including T-cells, B-cells, natural killer (NK) cells, monocytes and dendritic cells. PD-L1 can be highly expressed by tumor cells, whereas PD-1 expression is most prominent in T-cells and lower in other immune cells.2 Biodistribution of PD-1 and PD-L1 targeting drugs will likely be influenced by the dynamic expression patterns of these targets. Molecular imaging has proven to be an useful tool for studying drug biodistribution.3 4 In table 1, we summarized preclinical imaging studies that investigated biodistribution of radiolabeled molecules targeting PD-1 and PD-L1.5–28 Most studies that we reviewed focused on tracer distribution in the tumor and its microenvironment, without considering PD-1 and PD-L1 expression in healthy immune tissues. Studies that do report on tracer uptake in lymphoid tissues are scarce and results are often limited to the spleen. Furthermore, most tracers targeting human PD-1/PD-L1 are not cross-reactive with murine proteins and relevant mouse models reconstituted with (parts of) a human immune system are rarely used. A limited number of studies used NOD scid gamma (NSG) mice engrafted with human peripheral blood mononuclear cells (hNSG model).23–25 27 The hNSG model has a high level of functional T-cells, however, it is also characterized by aberrant distribution of immune cells to murine immune tissues and other cell lineages remain underdeveloped.29 Humanized mice that are engrafted with human CD34 + hematopoietic stem cells (HSCs) establish an immune-competent model with a broader set of developed human immune cells present and might therefore be a better surrogate for the human immune environment.
Table 1

Preclinical imaging studies targeting PD-L1 and PD-1, using radiolabeled monoclonalantibody or small proteins

Type ofImagingTracerOrigin and reactivityCross reactivityAnimal modelTumor modelTracer doseImaging / biodistribution time pointTumor uptakeUptake lymphoid tissueRef
Anti-PD-L1 - antibodies
SPECT/CT111In-PD-L1.3.1 antibodyMurine anti-humanNoBalb/c nude mice6 to 8 weeks oldImmune deficientHuman breast cancer cell lines1.5 µg (15.5 MBq) and 1.0 µg (10.0 MBq)Imaging and ex vivo biodistribution at 24, 72 and 168 hours pi32.8 (±6.8) %ID/g and 6.2 (±1.0) %ID/g at 168 hours pi for MDA-MB-231 and MCF-7 tumors respectivelyPD-L1 detection at different expression levels in SK-Br-3, SUM149 and BT474 tumorsNo(5)
SPECT111In-DTPA-PD-L1 antibodyHamster anti-mouseNoneu-N transgenic mice8 to 12 weeks oldImmune competentNT2.5 (mouse mammary tumor)7.4 MBq for imaging and 8.4 µg (0.93 MBq) for biodistributionImaging on 1, 24, and 72 days pi and ex vivo biodistribution at 1, 24, 72, and 144 hours piTumor uptake of 21.1 (±11.2) %ID/g at 144 hours piYes, spleen (63.5%±25.4 %ID/g) and thymus (16.8%±16.2 %ID/g) at 144 hours piSpleen uptake was blocked by coinjection of unlabeled antibody(6)
SPECT111In-PD-L1 antibodyHumanized anti-humanCross-reactive with mouseNSG mice6 to 8 weeks oldImmune deficientHuman cell lines100 µg (14.8 MBq) for imaging and 8.5 µg (1.48 MBq) for biodistributionImaging and ex vivo biodistribution at 24, 48, 72, 96 and 120 hours pi8.9 (±0.26) %ID/g at 72 hours pi for MDA-MB-231 tumors and 7.46 (±0.12) at 144 hours pi for H2444 tumorsDetection of PD-L1 at different expression levelsYes, spleen (23.5±8.2) at 48 hours piSpleen uptake was blocked by co-injection of unlabeled antibody(7)
PET64Cu-PD-L1 antibodyHumanized anti-humanCross-reactive with mouseNSG mice6 to 8 weeks oldImmune deficientHuman cell lines16.7 MBq (40 µg) for imaging and 1.48 MBq (10 µg) for biodistributionImaging on 2, 24 and 48 hours pi and ex vivo biodistribution at 24 and 48 hours pi40.6 (±6.9) %ID/g, 17.2 (±2.1) %ID/g and 9.4 (±2.3) %ID/g at 48 hours pi for PD-L1 positive CHO, MDA-MB-231 and SUM149 tumors respectivelyHigh spleen uptake (~45 %ID/g) at 24 hours pi after blocking with unlabeled antibody(8)
Balb/c mice4 to 6 weeks oldImmune competent4T1 (mouse mammary carcinoma)17.0 (±4.3) %ID/g at 48 hours pi for 4T1 tumorsNo high uptake observed in spleen (±12 %ID/g) and BAT
SPECT111In-DTPA-PD-L1 antibodyRat anti-mouseNoC57BL/6 mice6 to 8 weeks oldImmune competentB16F10 (murine melanoma)15–16 MBq (60 µg) for imaging and 0.37 MBq (0.13 mg/kg)Imaging on 1, 24 and 72 hours pi and biodistribution at 1, 24, 72 and 96 hours pi6.6 (±3.1) %ID/g at 24 hours pi for B16F10 tumorsYes, spleen (47%±9.5 %ID/g) at 24 hours pi and BATSpleen uptake was blocked by coinjection of unlabeled antibody(9)
PET89Zr-anti-PD-L1 antibodyRat anti-mouseNoC57BL/6 mice6 to 8 weeks oldImmune competentMEER (murine tonsil epithelium) or B16F10 (murine melanoma)3.7 MBq (50 µg)Imaging and ex vivo biodistribution at 48 and 96 hours piHigher uptake in irradiated (20.1%±2.6 %ID/g) vs non-irradiated (11.1%±1.9 %ID/g) MEER tumorsHigher uptake in irradiated (28.0%±4.9 %ID/g) vs non-irradiated (14.4%±1.4 %ID/g) B16F10 tumorsYes, spleen (60% to 120%ID/g) and thymus (25% to 35%ID/g)Spleen uptake was blocked by pre-injection of unlabeled antibody(10)
PET89Zr-C4 (recombinant IgG1 antibody)Engineered anti-humanCross-reactive mouseNu/nu mice3 to 5 weeks oldImmune deficientH1975 and A549 (human NSCLC), PC3 (human prostatic small cell carcinoma)11.1 MBq for imaging and 1.85 MBq for ex vivo biodistributionImaging and ex vivo biodistribution at 8, 24, 48, 72, 120 hours pi~9 %ID/g~5 %ID/g and ~7 %ID/g at 48 hours pi for H1975, A459 and PC3 tumors respectively~13% ID/g at 48 hours pi for B16F16 tumors~5 %ID/g tumor uptake at 48 hours pi in PDX modelDetection of pharmacological-induced changes in PD-L1 expressionYes, spleen uptake of ~7 %ID/g and ~6 %ID/g at 48 hours pi in nu/nu and C57BL/6 mice respectivelyIncreased uptake in the spleens of nu/nu mice treated with paclitaxel and spleens of C57BL/6 mice treated with doxorubicin(11)
C57BL/6 mice3 to 5 weeks oldImmune deficientB16F10 (mouse melanoma)
Not reportedPDX model of EGFR mutant (L858R) NSCLC
SPECT/CT111In-anti-mPD-L1Rat anti-murineNoBalb/c and C57BL/66 to 8 weeks oldImmune competentMurine cell lines19.7 (±1.2) MBq (30 µg)Imaging and ex vivo biodistribution at 72 hours pi~14.53 (±5.49) %ID/g,~16.29 (±5.57) %ID/g,~11.06 (±6.54) %ID/g,~14.94 (±4.01) %ID/g,~6.16 (±2.94) %ID/g, for Renca, 4T1, CT26, B16F1 and LLC1 respectivelyYes, spleen varying from 13.09 %ID/g to 40.30 %ID/g.Thymus varying from 6.09 %ID/g to 10.26 %ID/g(12)
111In-anti-hPD-L1Murine anti-humanNoNon-humanized and humanized NSG miceMDA-MB-231 (human breast carcinoma)11.9±1.6 MBq (1 µg) 111In-anti-hPD-L1Or 11.5±0.4 MBq (2.8 µg) 111In-control mIgG1LPS treatment 1 day before tracer injectionImaging and ex vivo biodistribution at 72 hours pi~40 %ID/g for non-humanized mice and ~60 %ID/g for humanized mice at 72 hours pi~35 %ID/g for humanized mice after LPS treatment at 72 hours pi~8 %ID/g for 111In-control mIgG1 in both non-humanized and humanized mice at 72 hours piYes, spleen uptake ~20% ID/g for non-humanize mice and ~25% ID/g for humanized mice~80 %ID/g for humanized mice after LPS treatment at 72 hours pi~10 %ID/g for 111In-control mIgG1 (both groups
111In-anti-mPD-L1Rat anti-murineNoBalb/c and C57BL/66 to 8 weeks oldImmune competentMurine cell linesIrradiation followed on day one by injection of 23.8±1.7 MBq (30 µg)Imaging and ex vivo biodistribution at 24 hours piHigher uptake in irradiated (26.3%±2.0 %ID/g) vs non-irradiated (17.1%±3.1 %ID/g) CT26 tumorsHigher uptake in irradiated (15.7%±1.8 %ID/g) vs non-irradiated (12.3%±1.7% ID/g) LLC1 tumorsNo difference uptake in irradiated (14.9%±6.8 %ID/g) vs non-irradiated (16.7%±3.5% ID/g) for B16F1 tumorsSpleen uptake ~14% to 17%ID/g for all modelsHigher uptake in lymph nodes of irradiated tumor models vs non-irradiated tumor models
Anti-PD-L1 - small molecules
PET64Cu-WL12 (PD-L1 binding peptide)Engineered anti-humanNoNSG mice6 to 8 weeks oldImmune deficientHigh PD-L1-expressing CHO cell line5.6 MBq for imaging and 1.5 MBq for ex vivo biodistributionImaging and ex vivo biodistribution at 10 min, 0.5, 1 and 2 hour pi14.9 (±0.8) at 1 hour pi in hPD-L1-expressing CHO tumorsNo(13)
PET18F-AlF-NOTA-ZPD-L1_ (anti PD-L1 small molecule, affibody)Engineered anti-human affibodyNoSCID beige mice6 to 8 weeks oldImmune deficientLOX-IMVI (human melanoma) and SUDHL6 (human B-cell lymphoma)0.2 to 0.6MBqDynamic PET scan during 90 min2.56 (±0.33) %ID/g at 90 min pi for LOX tumorsNo(14)
SPECT99mTC-anti-PD-L1 nanobodiesEngineered anti-mouse nanobodiesCross-reactive humanC57BL/6 mice (WT)vsCD8 depleted PD-L1 KO mice6 weeks oldImmune competentTC-1 (mouse lung epithelial), WT TC-1 PD-L1+vsCRISPR/Cas9-modified TC-1 PD-L1 KO45 to 155 MBq (10 µg) nanobodyImaging 1 hour pi and ex vivo biodistribution 80 min pi1.7 (±0.1) %ID/g for WT and 1.1 (±0.3) %ID/g for KO at 80 min piYes, spleen 11.4 (±1.4) %ID/g for WT and 1.6±0.2% ID/g for KO at 80 min piLymph node uptake 3.5 (±0.8) %ID/g for WT and 0.4 (±0.1) %ID/g for KO at 80 min pi(15)
PET64Cu-PD-1 ectodomain targeting PD-L1Engineered anti-humanNot specifiedNSG miceImmune deficientCT26 (mouse colon cancer) hPD-L1 (+) or hPD-L1(-)8.5 MB (25 µg)Imaging at 1, 2, 4, and 24 hours. Ex vivo biodistribution at 1 and 24 hours~3 %ID/g for PD-L1 (+) and~1.8 %ID/g for PD-L1 (-) at 24 hours piYes, spleen ~5 %ID/g at 24 hours pi(16)
PET18F-BMS-986192 (anti-PD-L1 small molecule)Engineered anti-humanAffinity for human & cynomolgus PD-L1, no binding to murine PD-L1)Immune deficient miceHuman L2987 (PD-L1+) and HT-29 (PD-L1-)5.6 MBq, block to 3 mg/kgDynamic PET scan during 120 min2.41 (±0.29) %ID/g for PD-L1 +and 0.82 (±0.11) %ID/g for PD-L1-, 0.79 (±0.12) %ID/g after blocking in PD-L+Yes, spleen uptake (no clear numbers)(17)
Cynomolgus monkeys55.5 MBqDynamic PET scan during 150 minYes, spleen:muscle 12:1, after blocking spleen:muscle1.24:1
PET64Cu-PD-1 ectodomains (DOTA-/NOTA-HAC, aglycosylated DOTA-/NOTA-HACA)Engineered anti-humanNot specifiedNSG mice6 to 8 weeks oldImmune deficientCT26 (mouse colon cancer) hPD-L1(+) or hPD-L1(-)0.7–3.7 MBq (10 to 15 µg)Imaging and ex vivo biodistribution at 1 hour pi1.8 (±0.2) %ID/g for PD-L1(+) and 0.9 (±0.7) %ID/g PD-L1(-) for 64Cu-NOTA-HAC-PD1 at 1 hour pi4.2 (±0.8) %ID/g for PD-L1(+) and 3.5 (±1.7) %ID/g for PD-L1(-) for 64Cu-NOTA-HAC-PD1 at 1 hour pi2.7 (±1.1) %ID/g for PD-L1(+) and 0.8 (±0.4) %ID/g for PD-L1(-) for 64Cu-NOTA-HACA-PD1 at 1 hour piYes, spleen 4.0 (±3.1) %ID/g, 5.5 (±1.4) %ID/g and 1.4 (±0.4) %ID/g for 64Cu-DOTA-HAC-PD1, 64Cu-NOTA-HAC-PD1, and 64Cu-NOTA-HACA-PD1 respectively(18)
68Ga- PD-1 ectodomains (DOTA-/NOTA-HAC, aglycosylated DOTA-/NOTA-HACA)Engineered anti-humanNot specifiedNSG mice6 to 8 weeks oldImmune deficientCT26 (mouse colon cancer) hPD-L1(+) or hPD-L1(-)0.7 to 3.7 MBq (10 to 15 µg)Imaging and ex vivo biodistribution at 1 hour pi3.8 (±1.6) %ID/g for PD-L1(+) and 1.7 (±1.3) %ID/g for PD-L1(-) for68Ga-NOTA-HACA-PD1 at 1 hour pi2.8 (±1.5) %ID/g for PD-L1(+) and 0.8 (±0.1) %ID/g for PD-L1(-) for 68Ga-DOTA-HACA-PD1 at 1 hour piYes, spleen 3.5 (±0.6) %ID/g and 0.2 (±0.2) %ID/g for68Ga-NOTA-HACA-PD1 and 68Ga-DOTA-HACA-PD1 respectively
PET64Cu-FN3hPD-L1Small molecule anti-humanNoCT26/hPD-L13.7 (±0.4) MBq (8 to 10 µg)Imaging at 0.5, 1, 4, 18, and 24 hours pi followed by ex vivo biodistribution5.6 (±0.9) %ID/g at 24 hours pi for CT26/hPD-L1 tumorsNo(19)
MDA-MB-231 (human breast cancer)3.6 (±0.5) %ID/g at 24 hours pi for MDA-MB-231 tumors
PET68Ga-WL12 (PD-L1 binding peptide)Engineered anti-humanNoNSG mice6 to 8 weeks oldImmune deficientHuman cell lines±7.4 MBq for imaging and ±0.9 MBq for ex vivo biodistributionImaging and ex vivo biodistribution at 15, 60, and 120 min pi11.56 (±3.18) %ID/g,4.97 (±0.8) %ID/g and 1.9 (±0.1) %ID/g for hPD-L1, MDA-MB-231 and SUM149 tumors respectively at 60 min piNo(20)
PET64Cu-WL12(PD-L1 binding peptide)Engineered anti-humanNoNSG mice5 to 6 weeks oldImmune deficientHuman cell lines: H226, HCC827, CHO-hPD-L1+, CHO-hPDL1-, MDAMB231±7.4 MBq for imaging and ±0.74 MBq for ex vivo biodistributionImaging and ex vivo biodistribution at 120 min piTreatment with atezolizumab 24 hours prior to tracer injection (20 mg/kg)~5.5 %ID/g,~8 %ID/g,~18 %ID/g,~5 %ID/g,~8 %ID/g for H226, HCC827, CHO-PDL1+, CHO-PDL1- and MDAMB231 respectively at 120 min piTreatment reduced uptake in all cell lines? Tumors models?Yes, spleen ~4 %ID/g, after treatment ~3.5 %ID/g(21)
Anti-PD1 - antibodies
PET64Cu-PD-1 antibodyHamster anti-mouseNoTreg+transgenic mice (Foxp3+.LuciDTR)Immune competentB16F10 (mouse melanoma)7.4 (±0.4) MBq (10–12 µg)Blocking with fivefold molar excessImaging and ex vivo biodistribution at 1 hour, 24 hours, and 48 hours pi7.4 (±0.71) %ID/g for non-block vs 4.51 (±0.26) %ID/g for blocking 48 hours piYes, spleen 23.04 (±4.97) %ID/g for non-block vs 14.39±0.53) %ID/g for blocking 48 hours pi(22)
PET89Zr-pembrolizumabHumanized anti-humanNot specifiedNSG and humanized NSG mice (hNSG)A375 (human melanoma)3.2 (±0.4) MBq (15 to 16 µg)Imaging at 1, 4, 18, 24, 48, 72, 96, 120 and 144 hours pi, ex vivo biodistribution at 144 hours pi1.8 (±0.4) %ID/g for NSG and 3.2 (±0.7) %ID/g for hNSG at 144 hours piYes, spleen ~19 %ID/g forNSG and ~28 %ID/g for hNSG at 144 hours pi(23)
64Cu-pembrolizumab7.4 (±0.4) MBq (20 to 25 µg)Imaging at 1, 4, 18, 24 and 48 hours pi, ex vivo biodistribution at 48 hours pi5.7 (±0.6) %ID/g for NSG, 9.4 (±2.5) %ID/g for hNSG and 5.9 (±2.1) %ID/g for hNSG block at 48 hours piYes, spleen ~6.5 %ID/g forNSG,~10.5 for hNSG, and ~7% ID/g for hNSG block at 48 hours pi
PET89Zr-pembrolizumabHumanized anti-humanNoICR (CD-1) mice and Hsd Sprague-Dawley rats, 5 weeks oldImmune competentNo tumor modelMice: 5 to 10 MBq (7 to 14 µg)Rats: 50 MBq (14 µg)Imaging at 3, 6, 12, 24, 48, 72, and 168 hours pi, ex vivo biodistribution at 168 hours piNo tumor modelYes, spleen ~2.5 %ID/g for mice and ~1% ID/g for rats 168 hours pi(24)
NSG mice and humanized NSG mice engrafted with human PBMCs (hu-PBL-SCID), 5–8 weeks oldNo tumor model; PBMC engraftmentNo tumor modelYes, spleen ~8 %ID/g for NSG and ~4.5 %ID/g for hu-PBL-SCID) at 168 hours pi
PET89Zr-Df-nivolumabHumanized anti-humanNoNSG mice and humanized NSG mice engrafted with human PBMCs (hu-PBL-SCID3–5 weeks oldA549 (human lung cancer)5 to 10 MBq (7 to 14 µg)Imaging at 3, 6, 12, 24, 48, 72, and 168 hours pi, and ex vivo biodistribution at 168 hours pi.3.88 (±0.38) %ID/g for NSG and 9.85 (±2.73) %ID/g for hu-PBL-SCID at 168 hours pi2.85 (±0.39) %ID/g for hu-PBL IgG control at 168 hours piYes, 7.48 (±0.47) %ID/g for NSG and 4.32 (±0.40) %ID/g for hu-PBL-SCID) at 168 hours pi3.05 (±0.79) %ID/g for hu-PBL-SCID IgG control at 168 hours pi(25)
PET89Zr-nivolumabHumanized anti-humanAffinity for cynomolgus monkeyHealthy non-human primates54.5 (±11.0) MBq (237 µg)Imaging at 24 hours, 96 hours, 144 hours and 192 hoursYes, spleen at192 hours SUV=17.63Blocking1 mg/kg at 192 hours SUV=2.5, 3 mg/kg SUV=2.62(26)
PET64Cu-pembrolizumabHumanized anti-humanNoHumanized NSG mice293T (human embryonic kidney cell line) expressing hPD-L17.4 (±0.4) MBq (20 to 25 µg)Dynamic PET scans on 1, 2, and 4 hour pi during 3 min, at 18 and 24 hours pi during 5 min, at 24 hours pi during 10 min and at and 48 hours pi during 15 minEx vivo biodistribution at 1, 12, 24, and 48 hours pi14.8 (±1.2) %ID/g for 293T tumors at 48 hours pi0.44 (±0.01) %ID/g for A375 tumors at 48 hours piYes, spleen (17.5%±1.6 %ID/g) at 48 hours pi(27)
A375 (human melanoma)
Anti-PDL1 + anti-PD1 antibodies
PET64Cu-PD-1 and 64Cu-PD-L1 antibodyMurine anti-mouseNoC57BL/6N micePD-1-deficient micePD-L1-deficient miceImmune competentB16F10 (mouse melanoma)1.13 (±0.31) MBq (1.5 µg) 64Cu-PD-1 and 6.38 (±0.35) MBq (20 µg) 64Cu-PD-L1Dynamic PET scan during 45–55 and 15–20 min at 24 hours pi for 64Cu-PD-1 and 64Cu-PD-L1 respectivelyEx vivo biodistribution at 48 hours pi±14 %IA/cm3 in B16F10 tumor at 24 hours pi in vivo for 64Cu-anti-PD-1 and 64Cu-anti-PD-L1±12 %IA/cm3 in B16F10 tumor at 24 hours pi ex vivo for 64Cu-anti-PD-L1Yes, spleen (±20 %IA/cm3) and lymph nodes (20%–30%IA/cm3) for 64Cu-PD-1, spleen (15 %IA/cm3), lymph nodes (7.5%–15%IA/cm3) and BAT (±12 %IA/cm3) for 64Cu-PD-L1Detection of PD-1 +TILs after immunoradiothera-pyPD-L1 upregulation (mainly in lung) by IFN-γ treatment visualized(28)

WT; wild-type; AlF, aluminum fluoride; BAT, brown adipose tissue; DOTA, 1,4,7,10-tetraazacyclododecane- N, N', N″, N'″-tetraacetic acid; DTPA, diethylenetriaminepentaacetic acid; EGFR, epidermal growth factor receptor; %ID/g, percentage of injected dose per gram; IFN-γ, interferon-gamma; KO, knock-out; LPS, lipopolysaccharide; NOTA, 1,4,7-triazacyclononane-N, N', N''-triacetic acid; NSCLC, non-small cell lung cancer; NSG, NOD SCID gamma; PBMC, peripheral blood mononuclear cell; PD-1, programmed cell death protein 1; PD-L1, programmed death-ligand 1; PDX, patient-derived xenograft; PET, positron emission tomography; pi, post-injection; SPECT, single photon emission CT; TILs, tumor-infiltrating lymphocytes.

Preclinical imaging studies targeting PD-L1 and PD-1, using radiolabeled monoclonalantibody or small proteins WT; wild-type; AlF, aluminum fluoride; BAT, brown adipose tissue; DOTA, 1,4,7,10-tetraazacyclododecane- N, N', N″, N'″-tetraacetic acid; DTPA, diethylenetriaminepentaacetic acid; EGFR, epidermal growth factor receptor; %ID/g, percentage of injected dose per gram; IFN-γ, interferon-gamma; KO, knock-out; LPS, lipopolysaccharide; NOTA, 1,4,7-triazacyclononane-N, N', N''-triacetic acid; NSCLC, non-small cell lung cancer; NSG, NOD SCID gamma; PBMC, peripheral blood mononuclear cell; PD-1, programmed cell death protein 1; PD-L1, programmed death-ligand 1; PDX, patient-derived xenograft; PET, positron emission tomography; pi, post-injection; SPECT, single photon emission CT; TILs, tumor-infiltrating lymphocytes. To gain more insight in the in vivo behavior of a human PD-1 targeting monoclonal antibody (mAb), not cross-reactive with murine PD-1, we aimed to study the biodistribution of zirconium-89 (89Zr) radiolabeled pembrolizumab in melanoma-bearing humanized NOG mice (huNOG) engrafted with HSCs using positron-emission tomography (PET) imaging. To enable consecutive clinical translation of this approach, we developed and validated a good manufacturing practices (GMP) compliant production process for 89Zr-pembrolizumab. Finally, we put our data in perspective by summarizing results from current in vivo preclinical studies with PD-1 and PD-L1 targeting radiolabeled molecules.

Methods

Cell lines

The human melanoma cell line A375M was purchased from the American Type Culture Collection. Cell lines were confirmed to be negative for microbial contamination and were authenticated on August 6, 2018, by BaseClear using short tandem repeat profiling. A375M cells were routinely cultured in Roswell Park Memorial Institute 1640 medium (Invitrogen) containing 10% fetal calf serum (Bodinco BV), under humidified conditions at 37°C with 5% CO2. Cells were passaged 1:10, twice a week. For in vivo experiments, cells in the exponential growth phase were used.

Development of 89Zr-pembrolizumab and 89Zr-IgG4

First, the buffer of pembrolizumab (25 mg/mL, Merck) was exchanged for NaCl 0.9% (Braun) using a Vivaspin-2 concentrator (30 kDa) with a polyethersulfon filter (Sartorius). Next, pembrolizumab was conjugated with the tetrafluorphenol-N-succinyldesferal-Fe(III) ester (TFP-N-sucDf; ABX) as described earlier, in a 1:2 TFP-N-sucDf:mAb ratio.30 Conjugated product was purified from unbound chelator using Vivaspin-2 concentrators and stored at −80 °C. On the day of tracer injection, N-sucDf-pembrolizumab was radiolabeled with 89Zr, delivered as 89Zr-oxalate dissolved in oxalic acid (PerkinElmer), as described previously.30 For in vivo studies, pembrolizumab was radiolabeled at a specific activity of 250 MBq/mg. IgG4 control molecule (Sigma-Aldrich) was conjugated with TFP-N-sucDf at a 1:3 molar ratio, followed by radiolabeling with 89Zr at similar specific activity of 250 MBq/mg.

Quality control of 89Zr-pembrolizumab

Size exclusion high-performance liquid chromatography (SE-HPLC) was used to determine the final number of TFP-N-sucDf ligands per antibody (chelation ratio). SE-HPLC analysis was also performed to assess potential aggregation and fragmentation for both N-sucDf-pembrolizumab and 89Zr-pembrolizumab. An HPLC system (Waters) equipped with an isocratic pump (Waters), a dual wavelength absorbance detector (Waters), in-line radioactivity detector (Berthold) and a TSK-GEL G3000SWXL column (Tosoh Biosciences) was used with phosphate buffered saline (PBS, sodium chloride 140.0 mmol/L, sodium hydrogen phosphate 0.9 mmol/L, sodium dihydrogen phosphate 1.3 mmol/L; pH 7.4) as mobile phase (flow 0.7 mL/min). Radiochemical purity of 89Zr-pembrolizumab was measured by trichloroacetic acid precipitation assay.31 Immunoreactivity of 89Zr-pembrolizumab was analyzed by a competition binding assay with unlabeled pembrolizumab. Nunc-immuno break apart 96-wells plates (Thermo Scientific) were coated overnight at 4°C with 100 µL of 1 µg/mL PD-1 extracellular domain (R&D Systems) in PBS, set to pH 9.6 with Na2CO3 2M. Plates were washed with 0.1% Tween 80 in PBS and blocked for 1 hour at room temperature (RT) with 150 µL 1% human serum albumin (Albuman, Sanquin) in PBS. Multiple 1:1 mixtures of 89Zr-pembrolizumab with unlabeled pembrolizumab were prepared, using a fixed concentration of 89Zr-pembrolizumab (7000 ng/mL) and varying concentrations of unlabeled pembrolizumab (from 3.75 ng/mL to 12.5×106 ng/mL). Of each mixture, 100 µL was added to the 96-wells plate and incubated for 2 hours at RT. After washing twice with washing buffer, radioactivity in each well was counted using a gamma counter (Wizard2 2480–0019, SW 2.1, PerkinElmer). Counts were plotted against the concentration of competing unlabeled pembrolizumab. The half maximal inhibitory concentration (IC50) was calculated using GraphPad Prism 7 (GraphPad software). Immunoreactivity was expressed as the IC50 value divided by the 89Zr-pembrolizumab concentration to calculate the immune reactive fraction (IRF).

Animal studies

All animal studies were approved by the Institutional Animal Care and Use Committee of the University of Groningen. Studies were performed in humanized NOG mice (NOD.Cg-Prkdcscid Il2rgtm1Sug/JicTac, Taconic) and non-humanized NOG mice (Taconic) were used for control experiments. HuNOG mice are sublethally irradiated 3 weeks after birth and subsequently reconstituted with human CD34+ hematopoietic stem cells derived from fetal cord blood to express a functional human immune system including B-cells, T-cells, NK-cells, dendritic cells and monocytes. HuNOG and NOG mice were subcutaneously xenografted with 5×106 A375M human melanoma cells in 300 µL of a 1:1 mixture of PBS and Matrigel (BD Biosciences) on the right flank. Tumor growth was assessed by caliper measurements. When tumor volumes reached 100 to 200 mm3 (after 2 weeks), 2.5 MBq 89Zr-pembrolizumab (10 µg) was administered via retro-orbital injection. Mice were anesthetized using isoflurane/medical air inhalation (5% induction, 2.5% maintenance). The first group of huNOG mice received 10 µg 89Zr-pembrolizumab (n=5). In addition, a second group of huNOG mice xenografted with the same tumor model received a co-injection of 10 µg 89Zr-pembrolizumab and 90 µg unlabeled pembrolizumab (n=4). To a third group of huNOG mice, 2.5 MBq 89Zr-IgG4 control (10 µg) was administered (n=4). Control NOG mice received 10 µg 89Zr-pembrolizumab (n=4).

PET imaging and ex vivo biodistribution

On day 7 post tracer injection (pi), PET scanning was performed. We selected this day based on optimal tumor-to-blood ratio and technical aspects, including feasible tracer specific activity and animal welfare. Mice were placed in a Focus 220 rodent scanner (CTI Siemens) on heating matrasses. Acquisition time was 60 min. A transmission scan of 515 s was performed using a 57Co point source to correct for tissue attenuation. After scanning, mice were sacrificed for ex vivo biodistribution. Bone marrow was collected from the femur bone by centrifugal-based separation. All other organs were dissected and counted in a gamma-counter (Wizard2 2480–0019, SW 2.1, PerkinElmer). Tracer uptake in each organ was expressed as percentage of the injected dose per gram tissue weight, calculated by the following formula: %ID/g = (activity in tissue (MBq)/total injected activity (MBq))/tissue weight (g)×100. To compare ex vivo and in vivo uptake, ex vivo uptake was also calculated as mean radioactivity per gram tissue, adjusted for total body weight (SUVmean ), calculated with the following formula: SUVmean = (activity in tissue (MBq)/total injected activity (MBq))×mouse weight (g). Calculations are corrected for decay and background. PET data was reconstructed and in vivo quantification was performed using PMOD software (V.4.0, PMOD technologies LCC). Three-dimensional regions of interest were drawn around the tumor. For other organs and tissues, a size-fixed sphere was drawn in representative tissue parts. PET data was presented as mean standardized uptake value (SUVmean ), calculated by the following formula: SUVmean (g/mL) = (activity concentration (Bq/mL)/applied dose (Bq))×weight (kg)×1000.

Autoradiography

Tumor and spleen from ex vivo biodistribution studies were formalin-fixed and paraffin embedded (FFPE). FFPE tissue blocks where cut into slices of 4 µM. These slices were exposed to a phosphor imaging screen (PerkinElmer) for 72 hours and then scanned using a Cyclone phosphor imager (PerkinElmer).

Immunohistochemistry

Subsequent slices of the same tumor, spleen and mesenteric lymph node tissue were stained for H&E, CD3, CD8 and PD-1. FFPE tumor, spleen and lymph node tissue were cut into 4 µm slices using a microtome (Microm Hm 355 s, Thermo Scientific) and mounted on glass slides. Tissue sections were deparaffinized and rehydrated using xylene and ethanol. Heat-induced antigen retrieval was performed in citrate buffer (pH=6) at 100°C for 15 min. Endogenous peroxidase was blocked by 30 min incubation with 0.3% H2O2 in PBS. For CD3 staining, slides were incubated with rabbit anti-human CD3-antibody (Spring bioscience; clone SP162) in a 1:100 dilution in PBS/1% bovine serum albumin (BSA) at RT for 15 min. For CD8 staining, slides were incubated with rabbit anti-human CD8-antibody (Abcam; clone SP16) in a 1:50 dilution in PBS/1% BSA at 4°C overnight. For PD-1 staining, slides were incubated with rabbit anti-human PD-1-antibody (Abcam, clone EPR4877(2)) in a 1:500 dilution in PBS/1% BSA at RT for 30 min. Human tonsil or lymph nodes tissues sections served ad positive control and were incubated with either CD3, CD8 or PD-1 antibody. As a negative control human tonsil or lymph nodes sections were incubated with rabbit IgG monoclonal antibody (Abcam, clone EPR25A) or PBS/1% BSA. For CD3, CD8 and PD-1 staining, incubation with secondary antibody (anti-rabbit EnVision+, Dako) was performed for 30 min, followed by application of diaminobenzidine chromogen for 10 min. Hematoxylin counterstaining was applied and tissue sections were dehydrated using ethanol and imbedded using mounting medium (Eukitt). H&E staining served to analyze tissue viability and morphology. Digital scans were acquired by a Nanozoomer 2.0-HT multi slide scanner (Hamamatsu).

89Zr-pembrolizumab manufacturing according to GMP

To enable clinical application, GMP-compliant 89Zr-pembrolizumab was developed. First, N-sucDf-pembrolizumab intermediate product was produced on a larger scale (60 mg batch, divided in 2.5 mg aliquots) and subsequently radiolabeled with 89Zr, followed by purification, dilution and sterile filtration (online supplemental figure S1). Release specifications were defined, as shown in online supplemental table S1. All analytical methods for quality control (QC) were validated. According to protocol validation of both N-sucDf-pembrolizumab and 89Zr-pembrolizumab, manufacturing consisted of three independent validation runs, including complete release QC. Stability of N-sucDf-pembrolizumab stored at −80 °C was studied up to 6 months and stability of 89Zr-pembrolizumab was determined up to 168 hours at 2°C to 8°C stored in a sterile, type 1 glass injection vial. In addition, in use stability was demonstrated at RT in a polypropylene syringe for up to 4 hours (online supplemental table S2).

Statistical analysis

Data are presented as median±IQR. A Mann-Whitney U test, followed by a Bonferroni correction was performed to compare groups (GraphPad, Prism 7). P values ≤0.05 were considered significant. If not indicated otherwise, results were not statistically significant.

Results

89Zr-pembrolizumab development for in vivo studies

We optimized the conjugation processes of pembrolizumab with the TFP-N-sucDf chelator and its subsequent radiolabeling with 89Zr. For in vivo studies, N-sucDf-pembrolizumab was produced with >60% yield and average 1.7 chelators per antibody (online supplemental figure S2, table S1). N-sucDf-pembrolizumab was subsequently radiolabeled with 89Zr at a specific activity of 250 MBq/mg, with radiochemical purity of >95% after purification. Both N-sucDf-pembrolizumab and 89Zr-pembrolizumab were stable, as shown in online supplemental table S1, S2 and figure S2. Immunoreactivity was not impaired by conjugation or radiolabeling.

89Zr-pembrolizumab imaging and biodistribution in humanized mice

PET imaging revealed 89Zr-pembrolizumab uptake in tumor, but also in healthy tissues, including liver, spleen and lymph nodes, of A375M tumor-bearing huNOG mice (figure 1A, B). Consistent with these results, ex vivo biodistribution at day 7 pi showed highest 89Zr-pembrolizumab uptake in spleen (SUVmean 30.5, IQR 15.8 to 67.7), mesenteric lymph nodes (SUVmean 20.4, IQR 8.0 to 25.2), bone marrow (SUVmean 14.5, IQR 6.1 to 32.8), thymus (SUVmean 1.3, IQR 1.1 to 2.1), liver (SUVmean, IQR 6.0, IQR 3.4 to 9.9) and tumor (SUVmean 5.1, IQR 3.3 to 8.9) (figure 1C, online supplemental table S3).
Figure 1

In vivo PET imaging and ex vivo biodistribution of 89Zr-pembrolizumab in immunocompetent humanized NOG mice. Mice were xenografted with A375M tumor cells and received tracer injection at day 0. For blocking studies huNOG mice received a 10-fold excess of unlabeled pembrolizumab (huNOG excess). As a control for non-specific uptake huNOG mice were injected with 89Zr-IgG4. PET imaging performed on day 7 post injection (pi). (A) In vivo PET examples (maximum intensity projections) at day 7 pi showing uptake in tumor (T), axillary lymph nodes (LN), liver (L) and spleen (S). (B) In vivo uptake of 89Zr-pembrolizumab in spleen, lymph nodes (axillary), liver and tumor, at day 7 pi. Uptake is expressed as SUVmean. (C) Ex vivo biodistribution of 89Zr-pembrolizumab in humanized NOG mice. Uptake is expressed as mean radioactivity per gram tissue, adjusted for total body weight (SUVmean ). Data expressed as median±IQR *p≤0.05. BAT, brown adipose tissue; huNOG, humanized NOG mice; MLN, mesenteric lymph nodes; PET, positron emission tomography.

In vivo PET imaging and ex vivo biodistribution of 89Zr-pembrolizumab in immunocompetent humanized NOG mice. Mice were xenografted with A375M tumor cells and received tracer injection at day 0. For blocking studies huNOG mice received a 10-fold excess of unlabeled pembrolizumab (huNOG excess). As a control for non-specific uptake huNOG mice were injected with 89Zr-IgG4. PET imaging performed on day 7 post injection (pi). (A) In vivo PET examples (maximum intensity projections) at day 7 pi showing uptake in tumor (T), axillary lymph nodes (LN), liver (L) and spleen (S). (B) In vivo uptake of 89Zr-pembrolizumab in spleen, lymph nodes (axillary), liver and tumor, at day 7 pi. Uptake is expressed as SUVmean. (C) Ex vivo biodistribution of 89Zr-pembrolizumab in humanized NOG mice. Uptake is expressed as mean radioactivity per gram tissue, adjusted for total body weight (SUVmean ). Data expressed as median±IQR *p≤0.05. BAT, brown adipose tissue; huNOG, humanized NOG mice; MLN, mesenteric lymph nodes; PET, positron emission tomography. Tumor uptake of 89Zr-pembrolizumab was variable and slightly higher than tumor uptake observed for 89Zr-IgG4 control, however not significant due to small groups of mice (SUVmean 5.1, IQR 3.3 to 8.9 vs SUVmean 3.5, IQR 2.7 to 4.4) (figure 1C). This may be explained by low PD-1 expression found in all tumors by immunohistochemical (IHC) analysis (figure 2). 89Zr-pembrolizumab tumor-to-blood ratio also did not differ from 89Zr-IgG4 control (figure 1D).
Figure 2

IHC analysis of spleen, mesenteric lymph node and tumor tissue humanized NOG mice. Formalin-fixed and paraffin embedded tissue blocks where cut into slices of 4 µM and stained for PD-1, CD3 and CD8 (40x). H&E staining served to analyze tissue viability and morphology (40x). Scalebar: 50 µm. IHC, immunohistochemical; PD-1, programmed cell death protein-1.

IHC analysis of spleen, mesenteric lymph node and tumor tissue humanized NOG mice. Formalin-fixed and paraffin embedded tissue blocks where cut into slices of 4 µM and stained for PD-1, CD3 and CD8 (40x). H&E staining served to analyze tissue viability and morphology (40x). Scalebar: 50 µm. IHC, immunohistochemical; PD-1, programmed cell death protein-1. 89Zr-pembrolizumab in huNOG mice showed higher uptake in lymphoid tissues compared with 89Zr-IgG4 control: spleen (SUVmean 13.9, IQR 7.1 to 21.4, NS, p=0.254), mesenteric lymph nodes (SUVmean 2.3, IQR 1.4 to 4.4, NS, p=0.114), salivary gland (SUVmean 2.1, IQR 1.2 to 2.9, NS, p=0.635), bone marrow (SUVmean 8.8, IQR 7.6 to 10.0, NS, p=1.714) and thymus (SUVmean 0.5, IQR 0.4 to 1.1, p=0.1714), indicating that 89Zr-pembrolizumab uptake in these tissues is, at least partly, PD-1-mediated. 89Zr-pembrolizumab tissue-to-blood (T:B) and tissue-to-muscle (T:M) ratios in lymphoid organs confirmed high uptake in these tissues (figure 1D, E). Additionally, relatively high 89Zr-IgG4 uptake was found in spleen, bone marrow and liver compared with other organs, suggesting 89Zr-pembrolizumab uptake in these tissues is also due to Fcγ receptor (FcγR)-binding of the antibody’s Fc-tail. High 89Zr-IgG4 uptake was less evident in lymph nodes and thymus. 89Zr-pembrolizumab spleen uptake in huNOG mice was blocked by the addition of a 10-fold excess unlabeled pembrolizumab (SUVmean 30.5, IQR 15.8 to 67.7 versus SUVmean 5.1, IQR 4.3 to 7.0, p=0.032) (figure 1B, C). Uptake in other lymphoid organs and liver was also reduced by addition of unlabeled mAb dose, whereas uptake in non-lymphoid tissues was unaffected (online supplemental table S3). Tracer activity in blood pool was increased by addition of unlabeled mAb (SUVmean 0.1, IQR 0.0 to 1.8 to SUVmean 2.2, IQR 1.4 to 7.4), but uptake in tumor did not change. Autoradiography confirmed PET imaging results on a macroscopic level, showing high uptake in spleens of huNOG mice compared with spleens of mice that received an additional unlabeled pembrolizumab dose (figure 3). Furthermore, comparable tumor uptake was found for different dose groups. IHC analysis on spleen and lymph node tissue of huNOG mice revealed that PD-1, CD3 and CD8 positive cells were present. CD3 and CD8 cells were also present in tumor tissue of huNOG mice (figure 2), however, PD-1 staining of these tumors was negative.
Figure 3

Autoradiography of spleen and tumor tissue humanized NOG mice (huNOG). Formalin-fixed and paraffin embedded tissue blocks where cut into slices of 4 µM. These slices were exposed to a phosphor imaging screen for 72 hours and were then scanned using a Cyclone phosphor imager.

Autoradiography of spleen and tumor tissue humanized NOG mice (huNOG). Formalin-fixed and paraffin embedded tissue blocks where cut into slices of 4 µM. These slices were exposed to a phosphor imaging screen for 72 hours and were then scanned using a Cyclone phosphor imager. 89Zr-pembrolizumab biodistribution in NOG control mice clearly showed a different pattern than in huNOG mice, with high uptake in liver (SUVmean 16.9, IQR 5.1 to 26.2) and spleen (SUVmean 49.6, IQR 16.6 to 135.6), whereas 89Zr-pembrolizumab tumor uptake in NOG mice was similar to huNOG mice (SUVmean 9.3, IQR 4.5 to 15.7 vs SUVmean 5.1, IQR 3.3 to 8.9) (online supplemental figure S3). High 89Zr-pembrolizumab spleen uptake in this model may be unexpected, since limited T-cells are present in NOG mice (online supplemental figure S3). However, high spleen uptake in severely immunocompromised mice has been described previously and is potentially Fcγ receptor-mediated.23 24 32 Moreover, spleen weights in NOG mice were lower than in huNOG mice (NOG: 0.017 g±0.015 g; huNOG: 0.037 g±0.016 g, p=0.036), which resulted in higher tracer uptake expressed as %ID per gram spleen tissue for NOG mice. A low spleen weight may result from high radiosensitivity of NOG splenocytes, which can lead to toxicity.33

Critical steps in 89Zr-pembrolizumab manufacturing

The production processes for N-sucDf-pembrolizumab intermediate product and 89Zr-pembrolizumab for in vivo studies were modified to comply with GMP requirements. In the conjugation reaction, pH is increased from 4.5 to 8.5, performed in small titration steps, as described earlier by Verel et al.30 During this pH transition, precipitation occurred at 6.5 to 7.0, which was re-dissolved at pH >7.5. No precipitation was observed when pH was changed abruptly, for example, by buffer exchange, to pH 8.5 during conjugation and to pH 4.5 for removal of Fe(III). This indicates potential instability of pembrolizumab at pH 6.5 to 7.0. Formation of aggregates may be explained by the fact that pembrolizumab is an IgG4 type mAb, which forms non-classical disulfide bonds. In contrast, IgG1 type antibodies can only form classical disulfide bonds. There are many other determinants of antibody stability besides disulfide bond formation, however, this phenomenon was not seen previously with the radiolabeling of IgG1 type antibodies.31 33 34 Immunoreactivity was not affected when pembrolizumab showed precipitation during pH transition, demonstrated by comparable IRF for precipitated N-sucDf-pembrolizumab and for non-precipitated N-sucDf-pembrolizumab (online supplemental figure S4). However, it is unknown whether the pembrolizumab structure is modified by the formation of precipitates. Therefore, the method for pH transition by buffer exchange was incorporated in the conjugation protocol for pembrolizumab. Production of clinical grade 89Zr-pembrolizumab was performed as previously described by Verel et al.30

89Zr-pembrolizumab GMP validation

Three consecutive batches of conjugated and radiolabeled pembrolizumab were produced at clinical scale and complied with all release specifications (online supplemental tables S1 and S2), indicating that our process for manufacturing clinical grade 89Zr-pembrolizumab is consistent and robust. 89Zr-pembrolizumab was obtained with a specific activity of 37 MBq/mg and mean IRF of 1.35±0.6 (n=3). Stability studies revealed that N-sucDf-pembrolizumab remained compliant to release specifications up to 6 months storage at −80°C, therefore N-sucDf-pembrolizumab shelf-life was set at 6 months. Stability studies are ongoing and shelf-life may be extended if future time points remain within specifications. Data obtained during process development and validation were used to compile the investigational medicinal product dossier (IMPD), which includes all information regarding quality control, production and validation of 89Zr-pembrolizumab. Based on this IMPD, 89Zr-pembrolizumab has been approved by competent authorities for use in clinical studies.

Discussion

This study reveals 89Zr-pembrolizumab whole-body distribution in tumor-bearing huNOG mice established with a broad set of developed immune cells. Tumor uptake of 89Zr-pembrolizumab was markedly lower than uptake in lymphoid tissues such as spleen, lymph nodes and bone marrow, but higher than uptake in other organs. Importantly, high uptake in lymphoid tissues could be reduced with a 10-fold excess of unlabeled pembrolizumab. This contrasts with 89Zr-pembrolizumab tumor uptake, which was not reduced by the addition of unlabeled pembrolizumab. Our study nicely shows the in vivo behavior of 89Zr-pembrolizumab, which, apart from IgG pharmacokinetics determined by its molecular weight and Fc tail, is predominantly driven by its affinity for PD-1 (Kd:~30 pM). The PD-1 cell surface receptor is primarily expressed on activated T-cells and pro B-lymphocytes, which are abundantly present in our huNOG mouse model. Lymphocytes are highly concentrated in organs that are key players of the immune system: lymph nodes, spleen, thymus, bone marrow as well as tonsils, adenoid and Peyer’s patches. From our PET imaging and ex vivo biodistribution data, we learned that 89Zr-pembrolizumab distributed mainly to lymphoid organs, where PD-1 expressing immune cells are present. 89Zr-pembrolizumab showed relatively low and variable tumor uptake, however, this uptake could be visualized with PET imaging 7 days pi and was higher than in non-lymphoid tissues. We hypothesized there may be PD-1-mediated 89Zr-pembrolizumab tumor uptake, but we also found tumor uptake for 89Zr-IgG4, suggesting part of the 89Zr-pembrolizumab tumor uptake is FcγR-mediated. In our mouse model, few PD-1 positive immune cells may have traveled to the tumor, thereby potentially limiting 89Zr-pembrolizumab tumor uptake. Interestingly, the addition of unlabeled pembrolizumab did not influence tumor uptake. This is likely caused by substantial increase of 89Zr-pembrolizumab in blood pool as a direct consequence of adding excess unlabeled pembrolizumab, warranting a continuous pembrolizumab supply to the tumor. Ex vivo immunohistochemical analysis revealed CD3 and CD8 positive lymphocytes were present in tumor, but limited PD-1-expression was found. Immune checkpoint protein expression status in tumor-infiltrating lymphocytes is highly dynamic.35 36 This so-called ‘immune phenotype’ depends on several factors, including tumor type, location and mutational burden. Our results indicate that, whereas PD-1 expression may demonstrate large variation, 89Zr-pembrolizumab PET imaging is able to capture PD-1 dynamics in both tumor and healthy tissues. Compared with earlier preclinical studies with radiolabeled pembrolizumab in the hNSG model, we found higher 89Zr-pembrolizumab uptake in spleen and other lymphoid tissues.23 24 This likely reflects the presence of multiple hematopoietic cell lineages, including B-cells, T-cells, NK-cells, dendritic cells and monocytes, and thus higher PD-1 expression, in our huNOG model compared with the hNSG model. Molecular imaging studies with radiolabeled antibodies generally show distribution to the spleen. It also known that Fc/FcγR-mediated immunobiology of the experimental mouse model plays a key role in the in vivo biodistribution and tumor targeting.33 In our mouse model, we also observed 89Zr-IgG4 uptake in lymphoid tissues, indicating 89Zr-pembrolizumab uptake in these organs may have an FcγR-mediated component. For most radiolabeled antibodies without an immune target, spleen uptake in patients is ~5 %ID/kg.37 This supports the idea that, independent of their target, antibodies often show distribution to the spleen. However, spleen uptake may be higher if PD-1 or PD-L1 is present. Pembrolizumab has an IgG4κ backbone with a stabilizing SER228PRO sequence alteration in the Fc-region to prevent the formation of half molecules. The IgG4 backbone of pembrolizumab may slightly differ from the IgG4 control molecule that we used for our experiments, however, FcγR-binding affinity and kinetics of pembrolizumab appears to be very similar to IgG4.38 We, therefore, consider the used IgG4 control molecule to provide a useful indication of the extent of FcγR-mediated uptake. In this respect, FcγR-mediated uptake may be present in the spleen but potentially also in liver and tumor, since these tissues demonstrate relatively high uptake of 89Zr-IgG4. PD-1 is predominantly expressed on activated T-cells while its ligand PD-L1 is expressed by a broader range of immune cells as well as tumor cells. It is therefore to be expected that biodistribution of antibody tracers targeting PD-L1 may deviate from the biodistribution results that we described here for 89Zr-pembrolizumab. In table 1, we presented an overview of preclinical imaging and biodistribution studies using anti-PD-1 and anti-PD-L1 tracers. Data turned out to be highly variable, mostly focused on tumor and not on the immune system, and therefore not just comparable. From our results, we increasingly realize that it is extremely important for interpretation of these type of data to know the characteristics of the antibody (origin, cross-reactivity, Fc-backbone, target, target-affinity and dose), the animal model (mouse strain, age, immune status and tumor cell line) and time points, variables we detailed in the table. As for preclinical studies, data on the distribution of PD-1 and PD-L1 targeting antibodies to lymphoid organs in patients is still limited. A clinical imaging study in 13 patients demonstrated modest 89Zr-nivolumab spleen uptake of SUVmean 5.8±0.7, whereas uptake of this radiolabeled antibody targeting PD-1 in other lymphoid tissues was not addressed.39 89Zr-atezolizumab (anti-PD-L1 antibody) imaging in 22 patients revealed spleen uptake with an SUVmean of 15. 89Zr-atezolizumab also distributed to other lymphoid tissues and sites of inflammation, whereas uptake in non-lymphoid organs was low. The high spleen uptake could at least partly be explained by presence of PD-L1 in endothelial littoral cells of the spleen.40 To perceive what can be expected for 89Zr-pembrolizumab PET imaging in patients, how results may be interpreted and potentially translated to predicting response, knowledge on which immune cells express PD-1 and where these cells are located in the human body is of utmost importance. With our study, we validated the use of 89Zr-pembrolizumab PET imaging to evaluate PD-1-mediated uptake in tumor and immune tissues in a setting that allowed for comparing tracer uptake and whole tumor tissue analysis. To enable evaluation of 89Zr-pembrolizumab biodistribution in humans, we developed clinical grade 89Zr-pembrolizumab. Clinical 89Zr-pembrolizumab PET imaging in patients with melanoma and NSCLC before treatment with pembrolizumab is currently performed at our center (ClinicalTrials.gov Identifier NCT02760225), and may elucidate if tracer tumor uptake correlates to response and if uptake in healthy PD-1 expressing tissues correlates to toxicity.

Conclusion

We demonstrated the in vivo biodistribution of 89Zr-pembrolizumab in humanized mice, and found uptake in tumor with the highest uptake in the lymphoid system, reflecting the presence of PD-1. Insight in the in vivo behavior and biodistribution of immune checkpoint targeting monoclonal antibodies might aid in better understanding immune checkpoint inhibition therapy and could potentially help explaining variation in response as well as potential toxicity due to uptake in healthy (immune) tissues.
  40 in total

1.  Fc-Mediated Anomalous Biodistribution of Therapeutic Antibodies in Immunodeficient Mouse Models.

Authors:  Sai Kiran Sharma; Andrew Chow; Sebastien Monette; Delphine Vivier; Jacob Pourat; Kimberly J Edwards; Thomas R Dilling; Dalya Abdel-Atti; Brian M Zeglis; John T Poirier; Jason S Lewis
Journal:  Cancer Res       Date:  2018-01-23       Impact factor: 12.701

2.  Imaging of Programmed Cell Death Ligand 1: Impact of Protein Concentration on Distribution of Anti-PD-L1 SPECT Agents in an Immunocompetent Murine Model of Melanoma.

Authors:  Jessie R Nedrow; Anders Josefsson; Sunju Park; Sagar Ranka; Sanchita Roy; George Sgouros
Journal:  J Nucl Med       Date:  2017-05-18       Impact factor: 10.057

Review 3.  The evolving landscape of biomarkers for checkpoint inhibitor immunotherapy.

Authors:  Jonathan J Havel; Diego Chowell; Timothy A Chan
Journal:  Nat Rev Cancer       Date:  2019-03       Impact factor: 60.716

Review 4.  Antibody positron emission tomography imaging in anticancer drug development.

Authors:  Laetitia E Lamberts; Simon P Williams; Anton G T Terwisscha van Scheltinga; Marjolijn N Lub-de Hooge; Carolien P Schröder; Jourik A Gietema; Adrienne H Brouwers; Elisabeth G E de Vries
Journal:  J Clin Oncol       Date:  2015-03-16       Impact factor: 44.544

5.  Development and characterization of clinical-grade 89Zr-trastuzumab for HER2/neu immunoPET imaging.

Authors:  Eli C F Dijkers; Jos G W Kosterink; Anna P Rademaker; Lars R Perk; Guus A M S van Dongen; Joost Bart; Johan R de Jong; Elisabeth G E de Vries; Marjolijn N Lub-de Hooge
Journal:  J Nucl Med       Date:  2009-05-14       Impact factor: 10.057

6.  A humanized antibody for imaging immune checkpoint ligand PD-L1 expression in tumors.

Authors:  Samit Chatterjee; Wojciech G Lesniak; Matthew Gabrielson; Ala Lisok; Bryan Wharram; Polina Sysa-Shah; Babak Behnam Azad; Martin G Pomper; Sridhar Nimmagadda
Journal:  Oncotarget       Date:  2016-03-01

7.  Non-invasive assessment of murine PD-L1 levels in syngeneic tumor models by nuclear imaging with nanobody tracers.

Authors:  Katrijn Broos; Marleen Keyaerts; Quentin Lecocq; Dries Renmans; Tham Nguyen; David Escors; Adrian Liston; Geert Raes; Karine Breckpot; Nick Devoogdt
Journal:  Oncotarget       Date:  2017-06-27

8.  Comparative biodistribution analysis across four different 89Zr-monoclonal antibody tracers-The first step towards an imaging warehouse.

Authors:  Frederike Bensch; Michaël M Smeenk; Suzanne C van Es; Johan R de Jong; Carolina P Schröder; Sjoukje F Oosting; Marjolijn N Lub-de Hooge; C Willemien Menke-van der Houven van Oordt; Adrienne H Brouwers; Ronald Boellaard; Elisabeth G E de Vries
Journal:  Theranostics       Date:  2018-07-30       Impact factor: 11.556

9.  Whole body PD-1 and PD-L1 positron emission tomography in patients with non-small-cell lung cancer.

Authors:  A N Niemeijer; D Leung; M C Huisman; I Bahce; O S Hoekstra; G A M S van Dongen; R Boellaard; S Du; W Hayes; R Smith; A D Windhorst; N H Hendrikse; A Poot; D J Vugts; E Thunnissen; P Morin; D Lipovsek; D J Donnelly; S J Bonacorsi; L M Velasquez; T D de Gruijl; E F Smit; A J de Langen
Journal:  Nat Commun       Date:  2018-11-07       Impact factor: 14.919

10.  High-Resolution PET Imaging with Therapeutic Antibody-based PD-1/PD-L1 Checkpoint Tracers.

Authors:  Michael Hettich; Friederike Braun; Mark D Bartholomä; Reinhold Schirmbeck; Gabriele Niedermann
Journal:  Theranostics       Date:  2016-06-18       Impact factor: 11.556

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  12 in total

Review 1.  Novel Tracers and Radionuclides in PET Imaging.

Authors:  Christian Mason; Grayson R Gimblet; Suzanne E Lapi; Jason S Lewis
Journal:  Radiol Clin North Am       Date:  2021-09       Impact factor: 1.947

2.  Immuno-PET imaging of PD-L1 expression in patient-derived lung cancer xenografts with [68Ga]Ga-NOTA-Nb109.

Authors:  Qingzhu Liu; Xiaodan Wang; Yanling Yang; Chao Wang; Jian Zou; Jianguo Lin; Ling Qiu
Journal:  Quant Imaging Med Surg       Date:  2022-06

Review 3.  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

Review 4.  ImmunoPET: Antibody-Based PET Imaging in Solid Tumors.

Authors:  Reyhaneh Manafi-Farid; Bahar Ataeinia; Shaghayegh Ranjbar; Zahra Jamshidi Araghi; Mohammad Mobin Moradi; Christian Pirich; Mohsen Beheshti
Journal:  Front Med (Lausanne)       Date:  2022-06-28

Review 5.  Immuno-Imaging (PET/SPECT)-Quo Vadis?

Authors:  Carsten S Kramer; Antonia Dimitrakopoulou-Strauss
Journal:  Molecules       Date:  2022-05-23       Impact factor: 4.927

6.  A Novel Dextran-Based Dual Drug Conjugate Targeted Tumors with High Biodistribution Ratio of Tumors to Normal Tissues.

Authors:  Jiaojiao Liu; Naining Zhang; Jiaan Wu; Peng Dong; Hongshuai Lv; Qi Wang; Shenxu Wang; Haotong Yang; Si Wang; Xiaohai Li; Jinghua Hu; Anny Wang; Daisy J Li; Yikang Shi
Journal:  Int J Nanomedicine       Date:  2022-10-17

Review 7.  Probing immune infiltration dynamics in cancer by in vivo imaging.

Authors:  Thomas S C Ng; Harris H Allen; Mohammad Rashidian; Miles A Miller
Journal:  Curr Opin Chem Biol       Date:  2022-02-23       Impact factor: 8.972

8.  Mesothelin/CD3 half-life extended bispecific T-cell engager molecule shows specific tumor uptake and distributes to mesothelin and CD3 expressing tissues.

Authors:  Frans V Suurs; Grit Lorenczewski; Julie M Bailis; Sabine Stienen; Matthias Friedrich; Fei Lee; Bert van der Vegt; Elisabeth G E de Vries; Derk-Jan A de Groot; Marjolijn N Lub-de Hooge
Journal:  J Nucl Med       Date:  2021-04-30       Impact factor: 11.082

9.  The Future of Cancer Diagnosis, Treatment and Surveillance: A Systemic Review on Immunotherapy and Immuno-PET Radiotracers.

Authors:  Virginia Liberini; Riccardo Laudicella; Martina Capozza; Martin W Huellner; Irene A Burger; Sergio Baldari; Enzo Terreno; Désirée Deandreis
Journal:  Molecules       Date:  2021-04-11       Impact factor: 4.411

Review 10.  Radiolabeled Antibodies for Cancer Imaging and Therapy.

Authors:  Sagun Parakh; Sze Ting Lee; Hui K Gan; Andrew M Scott
Journal:  Cancers (Basel)       Date:  2022-03-11       Impact factor: 6.639

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