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PET imaging of an optimized anti-PD-L1 probe 68Ga-NODAGA-BMS986192 in immunocompetent mice and non-human primates



Adnectin is a protein family derived from the 10th type III domain of human fibronectin (10Fn3) with high-affinity targeting capabilities. Positron emission tomography (PET) probes derived from anti-programmed death ligand-1 (PD-L1) Adnectins, including 18F- and 68Ga-labeled BMS-986192, are recently developed for the prediction of patient response to immune checkpoint blockade. The 68Ga-labeled BMS-986192, in particular, is an attractive probe for under-developed regions due to the broader availability of 68Ga. However, the pharmacokinetics and biocompatibility of 68Ga-labeled BMS-986192 are still unknown, especially in non-human primates, impeding its further clinical translation.


We developed a variant of 68Ga-labeled BMS-986192 using 1,4,7-triazacyclononane,1-glutaric acid-4,7-acetic acid (NODAGA) as the radionuclide–chelator. The resultant probe, 68Ga-NODAGA-BMS986192, was evaluated in terms of targeting specificity using a bilateral mouse tumor model inoculated with wild-type B16F10 and B16F10 transduced with human PD-L1 (hPD-L1-B16F10). The dynamic biodistribution and radiation dosimetry of this probe were also investigated in non-human primate cynomolgus.


68Ga-NODAGA-BMS986192 was prepared with a radiochemical purity above 99%. PET imaging with 68Ga-NODAGA-BMS986192 efficiently delineated the hPD-L1-B16F10 tumor at 1 h post-injection. The PD-L1-targeting capability of this probe was further confirmed using in vivo blocking assay and ex vivo biodistribution studies. PET dynamic imaging in both mouse and cynomolgus models revealed a rapid clearance of the probe via the renal route, which corresponded to the low background signals of the PET images. The probe also exhibited a favorable radiation dosimetry profile with a total-body effective dose of 6.34E-03 mSv/MBq in male cynomolgus.


68Ga-NODAGA-BMS986192 was a feasible and safe tool for the visualization of human PD-L1. Our study also provided valuable information on the potential of targeted PET imaging using Adnectin-based probes.


Blockade of the programmed cell death-1/programmed death ligand-1 (PD1/PD-L1) has shown impressive efficacy for the immunotherapy of patients with cancer [1,2,3]. Overexpression of PD-L1 in tumor cells and tumor-infiltrating lymphocytes, not only correlated with poor disease outcomes in multiple human cancers [4], but also predicted a better response to anti-PD-1/PD-L1 blockade [5]. Immunohistochemistry, as the gold standard to analyze the expression of target proteins, is unable to capture the dynamic changes of PD-L1 expression during tumor progression or to provide an overview picture of PD-L1 expression in heterogenic tumors [6]. Positron emission tomography (PET), as a noninvasive, sensitive, and quantifiable imaging modality, allows for a longitudinal and repetitive assessment of the expression of immune checkpoint proteins on a whole-body scale [7]. Recently, PET imaging using radiolabeled PD-L1-targeting molecules such as monoclonal antibodies [8,9,10], domain antibodies [11], affibodies [12], nanobodies [13], Adnectins [14], and peptides [15], specifically detect PD-L1 expression in a noninvasive manner. Several antibody-based imaging probes have been validated in clinical trials for visualizing PD-L1 positive tumors. Especially, the clinical responses of 89Zr-atezolizumab in the patients were better correlated with pretreatment PET signal than with immunohistochemistry-based predictive biomarker [16]. However, the slow clearance rate of antibody agents often takes many days to clear sufficiently from non-target tissues and enable imaging of the target. Moreover, unlabeled antibodies were often preinjected over the radiotracer to prevent non-specific accumulation in liver and blood pool and achieve higher target-to-background ratio [8, 9, 16].

Derived from the 10th type III domain of human fibronectin (10Fn3), Adnectins have comparable binding affinities with whole antibodies, but are smaller in size and simpler in structure [17]. The small size (~ 10 KDa) enables a rapid delivery of Adnectin-based probes to their targets and a fast glomerular clearance of the circulating probes from blood pool, and consequently yields PET images with good contrast. The absence of cysteine and disulfide bonds in Adnectin also makes it possible to introduce an exogenous cysteine for a site-specific labeling of PET radionuclides.

Currently, an Adnectin (ADX_5322_A02)-based anti-human PD-L1 (hPD-L1) probe, 18F-labeled BMS-986192 has produced a high-contrast imaging of PD-L1 positive lesions, and confirmed the correlation between the tumor uptake of the probe with the PD-L1 expression in patients with advanced non-small cell lung carcinoma (NSCLC) [18,19,20]. Another 68Ga-labeled BMS-986192 also produced high-contrast images to differentiate hPD-L1-positive tumors from hPD-L1-negative tumors in NSG mice [21]. However, there are still knowledge gaps to fill before a successful clinical translation of 68Ga-BMS-986192, such as the unknown pharmacokinetics and biocompatibility in non-rodent species. In addition, compared to that of 1,4,7,10-tetraazacyclododecane-N,N',N,N'-tetraacetic acid (DOTA), the coordination cavity formed by 1,4,7-triazacyclononane-N-glutamic acid-N′,N″-diacetic acid (NODAGA) chelates 68Ga with a higher stability [22]. Herein, we optimized the 68Ga labeling of BMS-986192 using a bifunctional chelator (BFC) maleimide-NODA-GA, and evaluated the binding affinity and stability of the resultant probe, 68Ga-NODAGA-BMS986192. Mice bearing hPD-L1-B16F10 tumors and healthy male cynomolgus were used to test the feasibility of 68Ga-NODAGA-BMS986192 for the in vivo imaging of PD-L1 expression and its safety profile.

Materials and methods

Reagents and equipment

The customized anti-PD-L1 Adnectin ADX_5322_A02 was prepared by ChinaPeptides Co. Ltd (Shanghai, China). The sequencing report, protein expression, and sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS–PAGE) analysis are shown in Additional file 1: Figs. S1, S2. Maleimide-NODA-GA was purchased from CheMatech (France), and high-purity hydrochloric acid from Merck (Darmstadt, Germany). Other chemicals were purchased from Sigma-Aldrich. The 68Ga/68Ge generator was purchased from ITG Isotope Technologies Garching Gmbh (Germany). PD-10 columns were purchased from GE Healthcare (Chicago, USA). Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry was performed on a Microflex LT/LRF system (Bruker Daltonics, Billerica, MA, USA). High-performance liquid chromatography (HPLC) /size exclusive chromatography (SEC) was performed on a Waters e2695 system equipped with a Superdex 200 Increase 10/300 GL column (GE Healthcare). Instant thin-layer chromatography (iTLC) was performed on Eckert & Ziegler Mini-Scan/FC (Hopkinton, MA, USA). The samples for binding affinity and biodistribution were measured with a gamma counter (Wizard 2480, Perkin Elmer Instruments Inc, Connection, USA).

Synthesis and quality evaluation of.68Ga-NODAGA-BMS986192

The synthesis scheme of 68Ga-NODAGA-BMS986192 is shown in Fig. 1. Briefly, 50-fold molar excess of maleimide-NODA-GA was first dissolved in PBS (pH 7.4) and added to ADX_5322_A02 (0.2 mg) dissolved in 1 mM tris(2-chloroethyl) phosphate (TCEP) supplemented with 5% Dimethyl sulfoxide (DMSO) [23], followed by incubation at 25 °C for 1 h. The mixture was then purified and concentrated by centrifugal filtration to give NODAGA-conjugated ADX_5322_A02 (NODAGA-BMS986192). Radionuclide 68Ga (370 to 450 MBq) was eluted from a 68Ga/68Ge generator using 0.05 M HCl, mixed with the NODAGA-BMS986192 in sodium acetate, and then incubated at 37 °C for 10 min. The final product, 68Ga-NODAGA-BMS986192, was purified using a PD-10 column using saline as the eluent.

Fig. 1
figure 1

Synthesis schematic of 68Ga-NODAGA-BMS986192

The radiochemistry yield (RCY) of 68Ga-NODAGA-BMS986192 was measured by the radio-iTLC. The radiochemistry purity (RCP) was measured by the radio-HPLC/SEC chromatography using 0.01 M phosphate buffer (pH 7.4) as the mobile phase at a flow rate of 1 mL/min. In vitro stability was tested by incubation in fresh human serum at 37 °C for 2 h. Cold 69GaCl3 solution was used for the synthesis of 69 Ga-NODAGA-BMS986192 as the standard reference.

Cell lines and culture conditions

Human glioblastoma cell line LN-229 was purchased from BcNa Culture Collection Co. Ltd (Beijing, China). Mice melanoma cell lines B16-F10 and hPD-L1-gene transfected B16-F10 (hPD-L1-B16F10) were obtained from Ubigene Biosciences Co. Ltd (Guangzhou, China). The real-time qPCR results confirmed that the hCD274 (hPD-L1) RNA expression of hPD-L1-B16F10 is over 5000 times higher than that of the B16-F10 wild type (Additional file 1: Fig. S3). All cell lines were cultured in Dulbecco's Modified Eagle Medium (DMEM) with 10% fetal bovine serum (Gibco) and penicillin/streptomycin (100 U/mL), and incubated at 37℃ in a humidified incubator with 5% CO2.

Binding affinity assay

Binding affinity was tested using a PD-L1 positive human glioblastoma cell line LN-229 [21]. Briefly, equal amount of 68Ga-labeled and unlabeled ADX_5322_A02 were mixed, and added to the cells at a total concentration ranging from 10–11 to 10–6 M. After 1 h incubation at 37 °C, cells were washed and centrifuged for 3 times with saline, all of the supernatants were collected as free radioligand. The amount of cell-bound activity (cell pellet) as well as the free radioligand was measured in a gamma counter (Wizard 2480, Perkin Elmer Instruments Inc, USA).

Animal models

Bilateral mouse models were established by subcutaneous inoculation of hPD-L1-B16F10 cells (1 × 106) and B16-F10 cells (1 × 106) [24] at contralateral shoulders of 18–20 g female C57BL/6 mice at 5–7 weeks of age. PET images were acquired once the tumors grew to 500 to 750 mm3 in size [25]. Healthy male cynomolgus weighing 5–7 kg were obtained from TOPGENE BIOTECHNOLOGY Co. Ltd (Wuhan, China).

PET imaging and ex vivo biodistribution in mice models

All scans were performed on an uBioEXPLORER PET/CT scanner (United Imaging Life Science Instruments, China). Mice (n = 4/group) were intravenously injected with 3.7–5.6 MBq (100–150 μci) 68Ga-NODAGA-BMS986192. Dynamic PET scans were recorded from 2 to 120 minutes post-injection. For blocking groups, cold ADX_5322_A02 (10 mg/kg) was simultaneously injected with 68Ga-NODAGA-BMS986192. Data were reconstructed in 16 time frames (10 × 2 min, 10 × 10 min) using an ordered subsets expectation maximization (OSEM) algorithm with scattering, attenuation, and decay corrections applied. Three-dimensional regions of interest (ROIs) were drawn over tumors and major organs, and the radioactivities in the regions were measured and quantified as the percentage injected dose per gram (% ID/g).

For ex vivo biodistribution, mice bearing bilateral tumors (n = 5/group) were intravenously injected with 3.7 MBq 68Ga-NODAGA-BMS986192. At 1 h and 2 h post-injection, tumor, blood, and selected organs were collected, washed, and weighed, their radioactivities measured on a gamma counter. The counts per minute (CPM) values for each sample were converted to percent of injected dose per gram of tissue (% ID/g). Data were decay-corrected to injection time and shown as means ± standard deviation (SD). To further improve the rigor of our study, a supplementary biodistribution study of blocking (n = 3/group) was performed by co-administration of unlabeled ADX_5322_A02 (10 mg/kg) with 3.7 MBq 68Ga-NODAGA-BMS986192, tissues were collected at 1 h post-injection.

PET imaging and radiation dosimetry in cynomolgus

Cynomolgus were first sedated by intramuscular injection of atropine and Shumianling II, and then anesthetized with a mixture of isoflurane and oxygen through endotracheal intubation. Vital parameters were monitored using a portable electrocardiograph (COMEN STAR8000, China). 68Ga-NODAGA-BMS986192 at a dose of 5.6 MBq (~ 150 μci)/kg was injected via the cephalic vein. Dynamic images were collected from the calvarium to the hypogastrium (A Field of View = 484 mm) for two hours, and reconstructed in 58 time frames (30 × 2 s, 10 × 1 min, 10 × 5 min, 6 × 10 min). Three-dimensional ROIs were drawn on major organs and the mean standardized uptake values (SUVmean) were computed to form time-activity curves (TACs). Serial whole-body images were acquired by eight consecutive PET scans (15 min per scan) using a continuous bed motion method (3 individual bed positions, 5 min per position), for up to 120 min post-probe injection.

Data for radiation dosimetry was acquired from whole-body 68Ga-NODAGA-BMS986192 scans at 10, 25, 40, 70, and 115 min after probe injection, respectively. Source organs were chosen based on the highest probe uptake and previously published reports, which consisted of kidneys, bladder, heart, liver, spleen, adrenals, and the remainder of the body [26]. ROIs over the source organs were contoured manually at the 10-min time point and propagated to later scans based on automatic deformable registration between consecutive scans. OLINDA/EXM software, version 2.1 was used to plot and integrate the kinetic organ activity data for the calculation of total-body and organ time-integrated activity coefficients, residence times, and organ-absorbed doses. Effective doses were calculated using radiation weighting factors from the International Commission on Radiological Protection publication 60 [27].

Immunohistochemical staining

Harvested tumors (n = 3) were fixed, embedded in paraffin, and cut into a 4 μm thick sections. The sections were then deparaffinized to retrieve antigen using 10 mM citrate buffer (pH 6.0). Slides were treated with 3% H2O2 for 10 min, blocked with 5% goat serum for 1 h, and then incubated with anti-hPD-L1 mouse monoclonal antibody MIH1 (Catalog Number: 14-5983-80) or anti-mPD-L1 rat monoclonal antibody MIH5 (Catalog Number: 14-5982-81) (ThermoFisher, Shanghai, China) at 4 °C overnight. Subsequently, slides were washed, incubated with biotinylated anti-mouse IgG, and visualized by adding DAB chromogen. Sections were counterstained with hematoxylin.

Biosafety evaluation

Toxicity tests were performed in accordance with the Organization of Economic Co-operation and Development (OECD) guidelines for testing chemicals with minor modifications. A total of 12 healthy C57BL/6 mice (16–18 g, 5–6 weeks old females) were randomly assigned into saline control, acute toxicity (24 h post-injection), and subchronic toxicity (7 d post-injection), in which the treated groups were injected with a single dose (37 MBq) of 68Ga-NODAGA-BMS986192. Mice were observed daily for physical appearance (skin, hair, eye, weight), behavior patterns (moving, eating, and sleeping), and signs of injury, pain, and illness. Blood samples were collected for routine blood test as well as cardiac, hepatic, and renal functions. Heart, liver, spleen, lung, and kidney organs were also collected for histopathological examination.

Statistical analysis

All data were presented as mean ± standard deviation from three to five independent replicates. Statistical analyses were performed using GraphPad Prism 5.0 (GraphPad Software, San Diego, CA, USA), and a p value < 0.05 was considered to be statistically significant. Differences between groups were evaluated using Student's t test or one-way analysis of variance followed by post hoc Tukey multiple comparisons.


Characterization and in vitro stability of.68Ga-NODAGA-BMS986192

The molecular weight of the obtained ADX_5322_A02, NODAGA-BMS986192, and the standard reference complex 69Ga-NODAGA-BMS986192 were 11162.168, 14212.190, and 14273.838, respectively, as characterized by mass spectroscopy (Additional file 1: Fig. S4). 68Ga-NODAGA-BMS986192 was produced with a radiochemistry yield of > 95% (Additional file 1: Fig. S5) and a radiochemistry purity > 99% (Additional file 1: Fig. 6A). The molar activity of the obtained probe was 39.25 ± 2.57 GBq/μmol. It remained stable after incubation in human serum for 2 h at 37℃, with a radiochemical purity of > 99% (Additional file 1: Fig. 6B).

In vitro binding assay of 68Ga-NODAGA-BMS986192 to PD-L1

As shown in Fig. 2, 68Ga-NODAGA-BMS986192 exhibited a high affinity toward hPD-L1 with an IC50 value of 8.92 ± 0.90 nM.

Fig. 2
figure 2

68Ga-NODAGA-BMS986192 binding affinity in LN-229 (IC50 = 8.92 ± 0.90 nM)

PET imaging and biodistribution in immunocompetent tumor-bearing mice model

Coronal PET images of bilateral tumor models are shown in Fig. 3A. The 68Ga-NODAGA-BMS986192 probe accumulated rapidly in the hPD-L1-B16F10 tumor, and produced satisfactory images at 1 h post-injection. In contrast, probe accumulation in the wide-type B16F10 tumor was significantly lower than that in hPD-L1-B16F10 (1.03 ± 0.16 vs. 3.54 ± 0.35%ID/g, p < 0.05). Blocking with an excess of unlabeled ADX_5322_A02 (10 mg/kg), on the other hand, reduced the probe uptake by 65 ± 7% in the hPD-L1-B16F10 tumors, confirming the target specificity of the probe. There was a considerable variation in the peak radioactivity within the tumor microenvironment, as detected by TACs of PET imaging. This variation can be attributed to the extent of tumor blood flow and the massive excretion from the kidneys. Nevertheless, the tumor uptake of radioactivity decreased gradually over the first hour post-injection, and then slowly plateaued for the later time points. In comparison, the muscular uptake of radioactivity increased from 0 ~ 5 min post-injection, and then decreased steadily, yielding better contrast for images at later time points (Fig. 3B).

Fig. 3
figure 3

A Representative coronal slices PET images of two mice bearing bilateral hPD-L1+ hPD-L1-B16F10 (yellow arrows) and hPD-L1 B16F10 (blue arrows) tumors at 60 min post-68Ga-NODAGA-BMS986192 administration. The left images show probe alone; the right images show co-administration of 10 mg/kg ADX_5322_A02; B Representative time-activity curves; C Mice ex vivo biodistribution of 68Ga-NODAGA-BMS986192, 1 h and 2 h post-injection (n = 5/group); D Mice ex vivo biodistribution of.68Ga-NODAGA-BMS986192 1 h post-injection, with and without co-administration of cold ADX_5322_A02 as a blocking agent (n = 3/group)

Ex vivo biodistribution results were consistent with the PET images (Fig. 3C). The high uptake of the probe in kidney underpinned its important role in probe clearance. The probe was mostly cleared from the blood pool within two hours. The tumor-to-muscle ratios of probe uptake in the hPD-L1-B16F10 group at 1 and 2 h post-injection were 7.28 ± 0.63 and 9.15 ± 1.10, respectively. Blocking with an excessive unlabeled ADX_5322_A02, similar to the imaging findings, reduced the probe uptake by 74 ± 12% in the hPD-L1-B16F10 tumors. The blocking also caused slight reduction of probe accumulation in the wild-type B16F10 tumor, liver, and spleen (0.65 ± 0.11 vs 0.29 ± 0.04%ID/g, 1.07 ± 0.37 vs 0.71 ± 0.20%ID/g, 0.64 ± 0.08 vs 0.43 ± 0.06%ID/g), respectively (Fig. 3D).

Cynomolgus imaging and radiation dosimetry

The dynamic and serial whole-body images of the cynomolgus were presented as maximum intensity projections (MIPs) (Fig. 4). PET ROI analyses were shown as time-activity curves (Fig. 5A, B). Figure 5A reveals that renal excretion was the main route of clearing the 68Ga-NODAGA-BMS986192, and the blood pool radioactivity decreased by 50% within 20 min post-injection. The SUVmean in the spleen and liver at 60 min post-injection was 1.59 ± 0.18 and 1.21 ± 0.13, respectively. The spleen uptake can be attributed to the interaction of the probe with PD-L1 on lymphocytes and dendritic cells, while the liver uptake was probably caused by catabolism of the probe [19]. The accumulation of radioactivity in the kidneys, liver, and spleen diminished over time, yet was visible in the PET images throughout the experiment. The probe accumulation in muscle and bone was minimal, consistent with low background radioactivity and high-contrast images. The optimal time window for PET imaging was 45 to 75 min p.i, as determined by the changes in major organs tissue-to-blood and tissue-to-muscle ratios over time (Fig. 5C, D).

Fig. 4
figure 4

Cynomolgus MIP images of.68Ga-NODAGA-BMS986192. A Representative dynamic images; B Serials whole-body static images

Fig. 5
figure 5

A, B Cynomolgus major organs dynamic time-activity curves; C, D Major organs tissue-to-blood and tissue-to-muscle ratios with time

Table 1 summarizes the pooled cynomolgus dosimetry reports from OLINDA/EXM software, version 2.1. Organs with the highest effective doses were the kidney (1.47E−03 mSv/MBq), followed by the thyroid (7.03E−04 mSv/MBq), liver (6.94E−04 mSv/MBq), and thymus (6.26E−04 mSv/MBq). The total-body effective dose was 6.34E−03 mSv/MBq. It should be noted that the reported standard deviations were calculated from the mean dosimetry profiles of the 3 male cynomolgus, and therefore did not account for any possible errors in organ delineation.

Table 1 68Ga-NODAGA-BMS986192 Dosimetry Summary of Effective Doses in healthy male cynomolgus (mSv/MBq)


Murine PD-L1 was expressed in about 20% of the B16F10 cells regardless of transfection (Fig. 6). On the other hand, human PD-L1 was stably expressed in more than 90% of the B16F10 after transfection, with a membranous staining pattern.

Fig. 6
figure 6

Representative images of hPD-L1 expression in the hPD-L1-B16F10 tumors (400, Bar = 50 μm)

Biosafety evaluation

None of the treated mice exhibited any signs of anomaly in terms of physical appearance or behavior patterns. There was no significant difference in body weight between the control and the subchronic toxicity group at the end of the observation (Additional file 1: Fig. S7). The treated groups had similar results from the routine blood test to that of the control, including creatine kinase (CK), alanine aminotransferase (ALT), aspartate aminotransferase (AST), and urea nitrogen (UREA). [28, 29] (Additional file 1: Tables S1 & S2). Pathological examination also revealed no significant alterations, including organ damage, inflammation, and necrosis, in the treated mice (Additional file 1: Fig. S8).


This study reported an optimized 68Ga-NODAGA-BMS986192 by replacing the bifunctional chelator DOTA with NODAGA. The thermodynamic stability constant of 68Ga-NODAGA (log K = 30.98) is much higher than that of 68Ga-DOTA (log K = 21.33). The coordination cavity of DOTA, consisted of four nitrogen atoms and four oxygen atoms, is too big for 68Ga3+, whereas only four nitrogen atoms and two oxygen atoms contribute to the actual chelation. In comparison, the coordination cavity of NODAGA chelates 68Ga3+ with a higher stability [30,31,32]. Compared to the published research [21], the radiolabeling procedure of NODAGA-BMS986192 required lower temperature and shorter reaction time. The resultant product exhibited an outstanding stability in human serum after 2 h of incubation (RCP > 99% vs. RCP > 97%) and a similar binding affinity to hPD-L1 (8.92 ± 0.90 nM vs. 2.0 ± 0.6 nM) as compared to the published counterparts. Therefore, we conclude that substitution of the chelating module did not compromise the binding affinity of this PET probe to human PD-L1.

The PET imaging and ex vivo biodistribution studies demonstrated the rapid and homing of the radioprobe toward hPD-L1 positive tumors (Fig. 3). The blocking test also verified the specificity of 68Ga-NODAGA-BMS986192 toward hPD-L1. In comparison, no blocking effect was observed in the B16-F10 wild-type tumors (murine PD-L1 positive) and other immune organs [33], confirming the low affinity of 68Ga-NODAGA-BMS986192 toward murine PD-L1 or non-specific accumulation.

The PET images and TACs of NHPs (Figs. 4, 5) showed a rapid probe clearance through renal and negligent retention in most non-target tissues and the optimal time window to be 45 to 75 min p.i. These results were in line with the satisfactory target-to-background ratio for the 68Ga-NODAGA-BMS986192 to assess tumor PD-L1 expression and stratify patients that can potentially benefit from anti-PD-L1 treatment. In addition, no excess unlabeled precursor was needed during PET probe administration due to the low overall background, which result in a feasible and costless medical examination than antibodies [20]. Notably, according to the dosimetry analysis in cynomolgus, the estimated total-body effective dose was 6.34E−03 mSv/MBq, which was lower than that of 68Ga-FAPI-46 (7.80E−03 mSv/MBq) [34] or 68Ga-PSMA-11 (1.08E−02 mSv/MBq) [35]. Together with the results of biosafety evaluation, nearly no detrimental effects caused by the 68Ga-NODAGA-BMS986192 to major organs. Therefore, this probe may have a better safety profile for further clinical translation. Moreover, the excretion of radioprobe from patients can be accelerated by drinking and urination which can further improve imaging quality and reduce radiation exposure.

Compared to reported preclinical studies based on ADX_5322_A02 [18, 21], all the probes showed high specificity for hPD-L1 detection and demonstrated similar pharmacokinetics with fast renal clearance. In this study, we optimized the 68Ga labeling method and obtained 68Ga-labeled BMS-986192 with higher stability. However, the uptake of the radiotracer in the hPD-L1+ tumor was lower than that in the previous reports, probably because the murine PD-L1 expressed in wild-type B16F10, albeit with low affinity, still trapped some of the tracers from the blood circulation. Immunocompetent murine models have been widely used in Immuno-SPECT/PET imaging [10, 25, 33, 36]. And it was recorded that immune-associated organs and additional PD-L1-rich organs can impact the distribution of the anti-PD-L1 PET probe [24]. Therefore, the immunocompetent mice might be more representable for the metabolism of 68Ga-NODAGA-BMS986192 compared to immune-deficient Balb/c and NSG mice. Furthermore, radiation dosimetry analysis in NHPs provided vital information to make clinical transitions of 68Ga-NODAGA-BMS986192 move forward.

In brief, the Adnectin-based PET probe, 68Ga-NODAGA-BMS986192, has shown very promising results as imaging agents for their favorable physicochemical properties, such as small size, high stability, high affinity and specificity, rapid tumor uptake, and normal tissue clearance. Moreover, the mild radiolabeling conditions and rapid imaging after 1 h p.i as well as the outstanding biosafety and radio-safety profile make it potential for clinical application of PD-L1 imaging. Collectively, these results are highly encouraging for the application of 68Ga-NODAGA-BMS986192 to screen the beneficiaries of immunotherapy and predict the efficacy of anti-PD-L1 treatment in clinical application.

Our study has some limitations. First, PET imaging of hPD-L1 was performed in the hPD-L1-B16F10 bearing C57BL/6 mice model instead of a transgenic mice model with humanized PD-L1 [37]. Although our hPD-L1 expression mice models confirmed hPD-L1 visualization with PET probe, a transgenic mice model with human PD-L1 expression would provide a more accurate assessment of probe accumulation in immune-associated organs. Second, because of the limited access to small animal PET, all scans were performed with an uBioEXPLORER PET/CT scanner which yields a 374 (transaxial) 484 (axial) mm2 field of view. Although this scanner provided an excellent total-body imaging of large animals, the image resolution was sub-optimal for tumor-bearing mice. Third, only male cynomolguses were enrolled for the radiation dosimetry study, which may lead to gender bias, and cautions should be taken when extrapolating the results. Fourth, a second tumor model with endogenously low expression of PD-L1 would help further validate the performance of this probe.


We developed an optimized Adnectin-based anti-hPD-L1 probe (68Ga-NODAGA-BMS986192) offering hPD-L1 visualization in moderate and flexible radiolabeling conditions. Evaluation of the developed anti-hPD-L1 radioprobe in immune-activity mice provided effective scrutiny of the interaction between radioprobe and the immune microenvironment. Coupling with the dosimetry assay in NHPs with the advantage of similarities to human beings, our findings could facilitate the transition of 68Ga-NODAGA-BMS986192 for clinical PET imaging of hPD-L1.

Availability of data and materials

All data generated or analyzed during this study are included in this published article and its supplementary information files.



Alanine aminotransferase


Aspartate aminotransferase


Bifunctional chelator


Creatine kinase


Counts per minute


Dulbecco's Modified Eagle Medium (DMEM)


Dimethyl sulfoxide


1,4,7,10-Tetraazacyclododecane-N,N',N,N'-tetraacetic acid


High-performance liquid chromatography


Human PD-L1


HPD-L1 gene transfected B16-F10


Immune checkpoint inhibitors




Instant thin-layer chromatography


Monoclonal antibodies


Matrix-assisted laser desorption/ionization time-of-flight


Maximum intensity projections


Murine PD-L1


Non-human primates


1,4,7-Triazacyclononane-N-glutamic acid-N′,N″-diacetic acid


Non-small cell lung carcinoma


Ordered subsets expectation maximization


Positron emission tomography


Programmed death ligand-1


Radiochemical yield


Radiochemical purity


Regions of interest


Max/mean standardized uptake values


Time activity curves


Tris(2-chloroethyl) phosphate


The 10th type III domain of human fibronectin


Percentage injected dose per gram


Urea nitrogen


  1. Kennedy LB, Salama AKS. A review of cancer immunotherapy toxicity. CA Cancer J Clin. 2020;70(2):86–104.

    Article  Google Scholar 

  2. Miller JF, Sadelain M. The journey from discoveries in fundamental immunology to cancer immunotherapy. Cancer Cell. 2015;27(4):439–49.

    CAS  Article  Google Scholar 

  3. Upadhaya S, Neftelino ST, Hodge JP, Oliva C, Campbell JR, Yu JX. Combinations take centre stage in PD1/PDL1 inhibitor clinical trials. Nat Rev Drug Discov. 2021;20(3):168–9.

    CAS  Article  Google Scholar 

  4. Gordon SR, Maute RL, Dulken BW, Hutter G, George BM, McCracken MN, et al. PD-1 expression by tumour-associated macrophages inhibits phagocytosis and tumour immunity. Nature. 2017;545(7655):495–9.

    CAS  Article  Google Scholar 

  5. Lin H, Wei S, Hurt EM, Green MD, Zhao L, Vatan L, et al. Host expression of PD-L1 determines efficacy of PD-L1 pathway blockade-mediated tumor regression. J Clin Invest. 2018;128(2):805–15.

    Article  Google Scholar 

  6. Nimmagadda S. Quantifying PD-L1 expression to monitor immune checkpoint therapy: opportunities and challenges. Cancers (Basel). 2020;12(11):3173.

    CAS  Article  Google Scholar 

  7. Wierstra P, Sandker G, Aarntzen E, Gotthardt M, Adema G, Bussink J, et al. Tracers for non-invasive radionuclide imaging of immune checkpoint expression in cancer. EJNMMI Radiopharm Chem. 2019;4(1):29.

    Article  Google Scholar 

  8. Kelly MP, Makonnen S, Hickey C, Arnold TC, Giurleo JT, Tavare R, et al. Preclinical PET imaging with the novel human antibody (89)Zr-DFO-REGN3504 sensitively detects PD-L1 expression in tumors and normal tissues. J Immunother Cancer. 2021;9(1):e002025.

    Article  Google Scholar 

  9. Christensen C, Kristensen LK, Alfsen MZ, Nielsen CH, Kjaer A. Quantitative PET imaging of PD-L1 expression in xenograft and syngeneic tumour models using a site-specifically labelled PD-L1 antibody. Eur J Nucl Med Mol Imaging. 2019;47:1302.

    Article  Google Scholar 

  10. Hettich M, Braun F, Bartholoma MD, Schirmbeck R, Niedermann G. High-resolution PET imaging with therapeutic antibody-based PD-1/PD-L1 checkpoint tracers. Theranostics. 2016;6(10):1629–40.

    CAS  Article  Google Scholar 

  11. Li D, Cheng S, Zou S, Zhu D, Zhu T, Wang P, et al. Immuno-PET imaging of (89)Zr labeled anti-PD-L1 domain antibody. Mol Pharm. 2018;15(4):1674–81.

    CAS  Article  Google Scholar 

  12. Gonzalez Trotter DE, Meng X, McQuade P, Rubins D, Klimas M, Zeng Z, et al. in vivo imaging of the programmed death ligand 1 by (18)F PET. J Nucl Med. 2017;58(11):1852–7.

    Article  Google Scholar 

  13. Lv G, Sun X, Qiu L, Sun Y, Li K, Liu Q, et al. PET imaging of tumor PD-L1 expression with a highly specific nonblocking single-domain antibody. J Nucl Med. 2020;61(1):117–22.

    CAS  Article  Google Scholar 

  14. Natarajan A, Patel CB, Ramakrishnan S, Panesar PS, Long SR, Gambhir SS. A novel engineered small protein for positron emission tomography imaging of human programmed death ligand-1: validation in mouse models and human cancer tissues. Clin Cancer Res. 2019;25(6):1774–85.

    CAS  Article  Google Scholar 

  15. Kumar D, Lisok A, Dahmane E, McCoy M, Shelake S, Chatterjee S, et al. Peptide-based PET quantifies target engagement of PD-L1 therapeutics. J Clin Invest. 2019;129(2):616–30.

    Article  Google Scholar 

  16. Bensch F, van der Veen EL, Lub-de Hooge MN, Jorritsma-Smit A, Boellaard R, Kok IC, et al. (89)Zr-atezolizumab imaging as a non-invasive approach to assess clinical response to PD-L1 blockade in cancer. Nat Med. 2018;24(12):1852–8.

    CAS  Article  Google Scholar 

  17. Lipovsek D. Adnectins: engineered target-binding protein therapeutics. Protein Eng Des Sel. 2011;24(1–2):3–9.

    CAS  Article  Google Scholar 

  18. Donnelly DJ, Smith RA, Morin P, Lipovsek D, Gokemeijer J, Cohen D, et al. Synthesis and biologic evaluation of a novel (18)F-labeled adnectin as a PET radioligand for imaging PD-L1 expression. J Nucl Med. 2018;59(3):529–35.

    CAS  Article  Google Scholar 

  19. Niemeijer AN, Leung D, Huisman MC, Bahce I, Hoekstra OS, van Dongen G, et al. Whole body PD-1 and PD-L1 positron emission tomography in patients with non-small-cell lung cancer. Nat Commun. 2018;9(1):4664.

    CAS  Article  Google Scholar 

  20. Nienhuis PH, Antunes IF, Glaudemans A, Jalving M, Leung D, Noordzij W, et al. (18)F-BMS986192 PET imaging of PD-L1 in metastatic melanoma patients with brain metastases treated with immune checkpoint inhibitors. A pilot study. J Nucl Med. 2021;63:899.

    Article  Google Scholar 

  21. Robu S, Richter A, Gosmann D, Seidl C, Leung D, Hayes W, et al. Synthesis and preclinical evaluation of (68)Ga-labeled adnectin, (68)Ga-BMS-986192 as a PET agent for imaging PD-L1 expression. J Nucl Med. 2021;62:1228.

    CAS  Article  Google Scholar 

  22. Liu S. Bifunctional coupling agents for radiolabeling of biomolecules and target-specific delivery of metallic radionuclides. Adv Drug Deliv Rev. 2008;60(12):1347–70.

    CAS  Article  Google Scholar 

  23. Wangler C, Wangler B, Lehner S, Elsner A, Todica A, Bartenstein P, et al. A universally applicable 68Ga-labeling technique for proteins. J Nucl Med. 2011;52(4):586–91.

    CAS  Article  Google Scholar 

  24. Nedrow JR, Josefsson A, Park S, Ranka S, Roy S, Sgouros G. 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. J Nucl Med. 2017;58(10):1560–6.

    CAS  Article  Google Scholar 

  25. Vermeulen K, Ahamed M, Luyten K, Bormans G. Evaluation of [(11)C]KB631 as a PET tracer for in vivo visualisation of HDAC6 in B16.F10 melanoma. Nucl Med Biol. 2019;74–75:1–11.

    Article  Google Scholar 

  26. Bolch WE, Eckerman KF, Sgouros G, Thomas SR. MIRD pamphlet No. 21: a generalized schema for radiopharmaceutical dosimetry-standardization of nomenclature. J Nucl Med. 2009;50(3):477–84.

    CAS  Article  Google Scholar 

  27. Mountford PJ, Temperton DH. Recommendations of the International Commission on Radiological Protection (ICRP) 1990. Eur J Nucl Med. 1992;19(2):77–9.

    CAS  Article  Google Scholar 

  28. Boehm O, Zur B, Koch A, Tran N, Freyenhagen R, Hartmann M, et al. Clinical chemistry reference database for Wistar rats and C57/BL6 mice. Biol Chem. 2007;388(5):547–54.

    CAS  Article  Google Scholar 

  29. Wiedmeyer CE, Ruben D, Franklin C. Complete blood count, clinical chemistry, and serology profile by using a single tube of whole blood from mice. J Am Assoc Lab Anim Sci. 2007;46(2):59–64.

    CAS  PubMed  Google Scholar 

  30. Chaves S, Delgado R, Da Silva JJ. The stability of the metal complexes of cyclic tetra-aza tetra-acetic acids. Talanta. 1992;39(3):249–54.

    CAS  Article  Google Scholar 

  31. Ferguson CBJCACRKDPAHARG. Structure and solution stability of indium and gallium complexes of 1,4,7-triazacyclononanetriacetate and of yttrium complexes of 1,4,7,10-tetraazacyclododecanetetraacetate and related ligands: kinetically stable complexes for use in imaging and radioimmun. J Chem Soc Perk Trans. 1991.

  32. Klaus-Peter Eisenwiener MIMP, I. Buschmann, Han-Wen Zhang, A. C. Santos, Sandra Wenger, Jean Claude Reubi, and Helmut R. Mäcke. Return to Issueprevarticlenext

  33. NODAGATOC, a New Chelator-Coupled Somatostatin Analogue Labeled with [67/68Ga] and [111In] for SPECT, PET, and Targeted Therapeutic Applications of Somatostatin Receptor (hsst2) Expressing Tumors. Bioconjugate Chemistry. 2002;3(13):530–41.

  34. Truillet C, Oh HLJ, Yeo SP, Lee CY, Huynh LT, Wei J, et al. Imaging PD-L1 expression with ImmunoPET. Bioconjug Chem. 2018;29(1):96–103.

    CAS  Article  Google Scholar 

  35. Meyer C, Dahlbom M, Lindner T, Vauclin S, Mona C, Slavik R, et al. Radiation dosimetry and biodistribution of (68)Ga-FAPI-46 PET imaging in cancer patients. J Nucl Med. 2020;61(8):1171–7.

    CAS  Article  Google Scholar 

  36. Afshar-Oromieh A, Hetzheim H, Kubler W, Kratochwil C, Giesel FL, Hope TA, et al. Radiation dosimetry of (68)Ga-PSMA-11 (HBED-CC) and preliminary evaluation of optimal imaging timing. Eur J Nucl Med Mol Imaging. 2016;43(9):1611–20.

    CAS  Article  Google Scholar 

  37. Wen X, Shi C, Zhao L, Yao L, Xu D, Lin X, et al. Immuno-SPECT/PET imaging with radioiodinated anti-PD-L1 antibody to evaluate PD-L1 expression in immune-competent murine models and PDX model of lung adenocarcinoma. Nucl Med Biol. 2020;86–87:44–51.

    Article  Google Scholar 

  38. Zhang S, Zhang M, Wu W, Yuan Z, Tsun A, Wu M, et al. Preclinical characterization of Sintilimab, a fully human anti-PD-1 therapeutic monoclonal antibody for cancer. Antibody Therapeutics. 2018;1(2):65–73.

    CAS  Article  Google Scholar 

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This study is financially supported by the National Natural Science Foundation of China (NOS. 91959119, 81873903, 81671718).

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Authors and Affiliations



HMZ and XHZ contributed to the conception and design of the study. HMZ, GFB, ZQW, and BCZ performed the experiments. HMZ, DL, LXC, and XYD performed the data analysis. HMZ drafted the manuscript. XHZ, BY, and JZ critically reviewed and revised the article. All authors contributed to the article and approved this submission.

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Correspondence to Xiaohua Zhu.

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All the experimental protocols were approved by institutional committee of Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology. All methods were carried out in accordance with relevant guidelines and regulations. The study was carried out in compliance with the ARRIVE guidelines.

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The authors declare that they have no competing interests.

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Additional file 1

. Figure S1 (A) The 10th type III domain of human fibronectin, BC, DE, and FG loops represent variable domains; (B) The core sequence of ADX_5322_A02 (underlined part representing the binding site of hPD-L1). Figure S2 (A) DNA sequence report of the ADX_5322_A02; (B, C) SDS–PAGE results of Adnectin expression and purification. Figure S3 hPD-L1-B16F10 cell line RT-qPCR results indicated that the human CD274 RNA expression rate is 556047% overexpressed compared to B16F10 wild type. Figure S4 (A, B, C in turn) The accurate molecular weight of obtained ADX_5322_A02, NODAGA-Adnectin, and the standard reference 69 Ga-NODAGA-BMS986192 determined by MALDI-TOF mass spectrometry. Figure S5 Representative iTLC result of 68Ga-NODAGA-BMS986192. Figure S6 (A) HPLC analysis of 68Ga-NODAGA-BMS986192. The UV-chromatogram retention time was 11.627 min, and the radio-chromatogram 12.071 min; (B) In vitro serum incubation of 68Ga-NODAGA-BMS986192 up to 2 h determined by Radio-HPLC demonstrated a satisfactory stability of RCP > 99%. Figure S7 The growth curves of mice (n = 4). Subchronic group (37 MBq 68Ga-NODAGA-BMS986192), control group (saline). Figure S8 Representative images of H&E eosin staining (100, Bar = 100 μm). Neither noticeable organ impairment nor obvious inflammation or necrosis was observed for all groups. Table S1 The results of blood routine test (n = 4). Table S2 The results of biochemical analyses (n = 4).

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Zhou, H., Bao, G., Wang, Z. et al. PET imaging of an optimized anti-PD-L1 probe 68Ga-NODAGA-BMS986192 in immunocompetent mice and non-human primates. EJNMMI Res 12, 35 (2022).

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  • PET imaging
  • 68Ga
  • Adnectin
  • BMS-986192
  • PD-L1
  • Cynomolgus