Abstract
Clinical tracking of chimeric antigen receptor (CAR) T cells in vivo by positron emission tomography (PET) imaging is an area of intense interest. But the long-lived positron emitter-labeled CAR T cells stay in the liver and spleen for days or even weeks. Thus, the excessive absorbed effective dose becomes a major biosafety issue leading it difficult for clinical translation. In this study we used 68Ga, a commercially available short-lived positron emitter, to label CAR T cells for noninvasive cell tracking in vivo. CAR T cells could be tracked in vivo by 68Ga-PET imaging for at least 6 h. We showed a significant correlation between the distribution of 89Zr and 68Ga-labeled CAR T cells in the same tissues (lungs, liver, and spleen). The distribution and homing behavior of CAR T cells at the early period is highly correlated with the long-term fate of CAR T cells in vivo. And the effective absorbed dose of 68Ga-labeled CAR T cells is only one twenty-fourth of 89Zr-labeled CAR T cells, which was safe for clinical translation. We conclude the feasibility of 68Ga instead of 89Zr directly labeling CAR T cells for noninvasive tracking of the cells in vivo at an early stage based on PET imaging. This method provides a potential solution to the emerging need for safe and practical PET tracer for cell tracking clinically.
Keywords: CAR T, Gallium-68, Zirconium-89, positron emission tomography, cell tracking, noninvasive imaging
Introduction
Tumor immunotherapy has become a clinical treatment for a variety of tumors due to its significant efficacy [1, 2]. Chimeric antigen receptor (CAR) T cells play an important role in tumor immunotherapy [3]. Viachimeric synthetic receptors, T cells can be redirected to cancer cell surface antigens to kill target cancer cells [4]. In the past few decades, CAR T cell therapy has made significant progress, especially in terms of the clinical success of the use of CD19-CAR T cells for treatment of refractory B-cell malignancies [5, 6], leading to a large number of clinical studies about the use of CAR T cells for tumor treatment. Many CD19-CAR T cell products are undergoing clinical trials; however, only Kymriah and Yescarta were approved by the FDA in 2017 for the treatment of pediatric patients and young adults with refractory or relapsed (R/R) B cell precursor acute lymphoblastic leukemia and adult patients with R/R large B cell lymphoma, respectively [7]. For example, in a CD19-CAR T cell therapeutic trial, the total incidence of cytokine release syndrome (cytokine release syndrome, CRS) events was 35%–93%, while the total incidence of CAR T-related neurotoxic events was 19%–64%, resulting in patient death in severe cases [8, 9]. Unlike the case with conventional drugs, the pharmacological concepts of absorption, distribution, metabolism, and excretion do not fit the pharmacokinetics of CAR T cells, which are a “living” drug. There is increasing evidence of a positive relationship between CAR T cell exposure and clinical efficacy [10–12]. Therefore, prior to clinical CAR T cell therapy, visualization of the CAR T cell distribution process after administration and testing of the spatiotemporal distribution and homing kinetics in vivo will be very helpful to evaluate tumor treatment effects and toxic side effects in advance [9, 13, 14].
Various imaging modalities have been used to track infused cells in vivo, including bioluminescence imaging with the use of luciferase reporter genes [15] and magnetic resonance imaging with transfection of nanoparticles or emulsions [16]. However, the limited tissue penetration of light or low sensitivity restricts their clinical applications. Thus, radionuclide-based single-photon emission computed tomography (SPECT) and positron emission tomography (PET) methods have been used for cell tracking, as they have excellent tissue penetration and sensitivity [17–19]. 111In-oxine has been utilized for clinical tracking of various types of cells by SPECT scanning, which can continuously monitor labeled cells for 5–7 days [20, 21]. 89Zr-oxine was also used for cell tracking by PET imaging [22–25]. Although long-term tracking of CAR T cells will provide more information on homing and distribution dynamics, radionuclides such as 89Zr remain in the liver, spleen, and lung for days or even weeks. Thus, the excess absorbed radiation dose makes clinical translation of this method difficult. Alternatively, radionuclides with a short half-life, such as 18F, have been developed for cell tracking by reporter gene transfection, including [18F] FHBG [26], [18F] FBEM [27], and [18F] DCFPyL [28]. This method requires additional gene transfection procedures, which remains a biosafety issue for clinical translation. Furthermore, it cannot be universally used for different types of CAR T cells. The sensitivity is also insufficient for early tracking.
Herein, we report CAR T cells directly labeled with 68Ga-oxine and the feasibility of their use for in vivo tracking by PET imaging. CAR T cells directly labeled with 89Zr-oxine were used as a long-term control. We applied this strategy in mice for CAR T cell tracking by PET imaging and verified the cell distribution ex vivo.
Materials and methods
Materials
8-Hydroxyquinoline (oxine), sodium citrate, NaOAc, Na2CO3, and 2-[4-(2-hydroxyethyl)piperazin-1-yl]ethanesulfonic acid (HEPES) solution were purchased from Sigma Aldrich (St Louis, MO). 89Zr-oxalate was obtained from BV Cyclotron VU (The Netherlands). 68Ga3+ solution was eluted from a 68Ge/68Ga generator (ITG, Germany) with 4 mL of 0.05 mol/L HCl (Merck, Germany), from which the 0.5 mL fraction with the highest radioactivity was used for further experiments.
Cell culture
The human Burkitt’s lymphoma cell line Raji-luc was purchased from Biocytogen (Beijing, China). CD19-CAR T cells were obtained from Shanghai Unicar Biomed-Pharmaceutical Technology Co., Ltd. The human chronic myelogenous leukemia cell line K562 was originally purchased from ATCC (Manassas, VA). The K562 cell line was transduced with a lentiviral vector encoding the human CD19 gene and a firefly luciferase reporter gene to generate the CD19-K562-luc cell line. CD19-K562-luc and Raji-luc cells were cultured at 37 °C with 5% CO2 in ATCC modified RPMI-1640 medium (Gibco) containing 10% fetal bovine serum (Gibco) and 1% penicillin-streptomycin.
Animals
In vivo analysis of CAR T cell function was performed by establishing xenograft models with NOD/ShiLtJGpt-Prkdcem26Cd52Il2rgem26Cd22/Gpt (NSG, NBRI) mice. For the disseminated disease model, mice were injected intravenously with 5 × 106 human Burkitt’s lymphoma (Raji)-luc cells. For the localized disease model, mice were engrafted subcutaneously (s.c.) on the right back with 5 × 106 CD19-K562-luc cells. To verify the success of the tumor model, mice received 15 mg/mL luciferin-D working solution through intraperitoneal injection and were imaged using an IVIS Lumina LT in vivo imaging system (PerkinElmer). Kunming (KM) mice were obtained from CAVENS (Changzhou, China). All animal experiments were conducted by following the National Institutes of Health guidelines for the care and use of laboratory animals and approved by the Institutional Animal Care and Ethics Committee of Jiangsu Institute of Nuclear Medicine (Wuxi, China).
Radiolabeling of CAR T cells
For 68Ga-oxine labeling, the pH of the 68Ga3+ solution was adjusted to 5–6 using 1 M NaOAc, and then the solution was mixed with 20 μg oxine dissolved in 20 μL 10% acetic acid. The reaction lasted for 15 min at room temperature. For 89Zr-oxine labeling, the pH of the 89Zr4+ solution was adjusted to 7 using 1 M Na2CO3 and 0.2 M HEPES buffer. Then, 20 μg oxine dissolved in 20 μL 10% acetic acid was added to the 89Zr4+ solution and allowed to react for 15 min at room temperature. For radio labeled CAR T cells, 1 × 106 CAR T cells were incubated with 1.11 MBq 68Ga- or 89Zr-oxine solution at room temperature for 10 min and then centrifuged at 2000 rpm for 5 min. Finally, the 68Ga- and 89Zr-CAR T cells were washed 3 times with PBS buffer. The intracellular and supernatant radioactivity was measured by a γ-counter (Perkin Elmer, USA). The cell viability and cell count before and after radiolabeling were detected using a fully automated cell counter (BodBoge, Shenzhen, China). The stability of the radiolabeled CAR T cells in cell culture medium (10% serum) was evaluated using thin layer chromatography with a radioactivity detector (radio-TLC, Bioscan, USA); the mobile phase was 0.15 M sodium citrate solution, and the plates consisted of glass microfiber chromatography paper impregnated with silica gel.
PET scan
All PET scans were performed on an Inveon microPET scanner (Siemens Solutions, Germany). KM, NSG, CD19-K562-luc xenograft model and Raji-luc model mice were intravenously injected with 1 × 106 68Ga- or 89Zr-radiolabeled CAR T cells via the tail vein. The radioactivity of each mouse was 185 KBq. For 68Ga-CAR T cell imaging, the 1-h dynamic PET scan was started immediately after intravenous injection, and 10-min-long static PET scans were conducted at 2, 4, and 6 h p.i. For 89Zr-CAR T cell imaging, the 2-h dynamic PET scan was started immediately after intravenous injection, and 10-min- or 20-min-long static PET scans were performed at 4, 6, 24, 48, 72, 90, 112, 140, 168, and 260 h p.i.
Image data analysis
PET images were reconstructed using a 3-dimensional ordered subset expectation maximum algorithm, and the image data were analyzed by ASIPro software. The major organs and tissues of each mouse, such as the lung, liver, and spleen, were delineated manually on the images as the regions of interest (ROIs). The image-derived percentage injected dose per gram (%ID/g) was calculated for each ROI and used as the indicator for the quantification of radioactivity uptake. Furthermore, by considering the effect of body weight, the standardized uptake values were also calculated and used as another indicator. The %ID/g and SUV can be obtained using the following equations:
%ID/g = ROI activity concentration(KBq/mL)/Total injected activity(KBq)*100
SUV = ROI activity concentration(KBq/mL)/Total injected activity(KBq)/body weight (g)
Pharmacokinetics study
The pharmacokinetics of 89Zr-labeled CAR T cells were investigated in NSG mice, a CD19-K562-luc xenograft mouse model and a Raji mouse model after intravenous injection with 1 × 106 89Zr-CAR T cells. 68Ga-CAR T cells were intravenously injected into NSG mice only. The radioactivity of each mouse was 185 KBq. Blood samples were collected from the tail and weighed at various times after i.v. injection. The radioactivity of blood samples was determined with a γ counter and normalized to the %ID/g. The area under the curve (AUC) for blood uptake (%ID/g) versus time was calculated using the noncompartment fitting method with DAS software (version 2.0).
Ex vivo biodistribution
KM mice were intravenously injected with 1 × 106 68Ga-CAR T cells or 89Zr-CAR T cells. Then, the mice injected with 68Ga-labeled CAR T cells were sacrificed at 0.5, 1, 2, and 4 h p.i., while the mice injected with 89Zr-labeled CAR T cells were sacrificed at 0.5, 2, and 4 h p.i. Samples of major organs and tissues, including blood, brain, liver, heart, spleen, lung, kidney, muscle, and knee, were removed and weighed. The radioactivity of each sample was measured using a γ-counter, and then the %ID/g per organ was calculated.
Absorbed dose estimates
The organ activity and concentration data were obtained by drawing the ROIs on the PET images of NSG mice for the following organs/tissues: lung, liver, spleen, blood (left ventricular chamber), muscle, and other organs. The organ residence times of the mice could be fitted with PMOD (version 3.8). Subsequently, by referring to the calculation method in the OLINDA software handbook, the residence time for each organ in the mouse can be extrapolated based on the adult male (73 kg). The remainder of the body residence time was determined based on the maximum theoretical residence time minus the sum of the residence times observed in the organs. The human dosimetry estimates were obtained from the residence times using OLINDA/EXM (version 2.0) software with the adult male model.
Statistical analysis
Data are expressed as the mean ± SD. Student’s t test and one-way ANOVA with Tukey’s post hoc test were used for the significant difference determination, and Pearson’s coefficient was used to evaluate the correlation. Differences were considered statistically significant when the P value < 0.05. Statistical analysis was performed with SPSS 19.0, and figures were plotted with GraphPad Prism 7.
Results
Radiolabeling of CAR T cells
89Zr-oxine was obtained by mixing neutralized 89Zr(oxalate)4 with 8-hydroxyquinoline. The radiochemical yield was greater than 90%. 68Ga-oxine was obtained by mixing 68GaCl3 solution with 8-hydroxyquinoline at a pH value between 5 and 6. The radiochemical yield was also greater than 90%. 89Zr-oxine or 68Ga-oxine was added to CAR T cells immediately and incubated at room temperature for radiolabeling of the cells. After centrifugation and washing 3 times, the CAR T cells were used for further study. As shown in Fig. 1a, the viability of the CAR T cells changed slightly after radiolabeling with 89Zr-oxine. The viability of 89Zr-labeled CAR T cells was ~80% at 24 h and 48 h post radiolabeling. Meanwhile, for 68Ga-labeled CAR T cells, the viability remained above 95% in 48 h (Fig. 1b). For 89Zr-labeled cells, more than 90% of the radioactivity was retained after 72 h, which represented one half-life of the radionuclide 89Zr, and the radioactivity decreased to ~70% at 96 h after radiolabeling (Fig.1c). To study the intracellular stability of 68Ga and 89Zr, the retention of radioactivity in cells was tested. More than 90% of 68Ga was retained in CAR T cells after 2 h, which represented two half-lives of the radionuclide 68Ga (Fig. 1d).
PET imaging
After intravenous injection of radiolabeled CAR T cells, dynamic PET scans and static scans were performed to obtain PET images at various times p.i. PET images showed similar results for 89Zr and 68Ga-labeled CAR T cells in vivo within the first 6 h in all four types of mice. In NSG mice, 89Zr- and 68Ga-labeled CAR T cells were initially distributed in the lungs within the first several minutes post injection and gradually migrated to the spleen and liver (Figs. 2 and 3). At 24 h and 72 h p.i., 89Zr-labeled CAR T cells remained mainly in the spleen and liver. These results are consistent with previous reports of 89Zr-labeled CAR T cells [23, 29]. The Pearson correlation analysis in Fig. 4 shows significant correlations between the distribution of 89Zr and 68Ga-labeled CAR T cells in the lungs (r = 0.780, P = 0.0006), liver (r = 0.872, P < 0.0001) and spleen (r = 0.959, P < 0.0001) within 4 h p.i. PET imaging of CD19-K562-luc and Raji model mice (Supplementary Fig. S1) showed that the tumor uptake of radiolabeled CAR T cells was slow, and no significant accumulation was found within 4 h (<1%ID/g). Thus, 89Zr-labeled CAR T cells were used to determine the relationship between the early-stage and long-term fate.
Pharmacokinetics of radiolabeled CAR T cells
As shown in Fig. 5a, b, the clearance of 89Zr-labeled CAR T cells was different in tumor-free mice and tumor-bearing mice. The mean half-life (t1/2) of 89Zr-labeled CAR T cells in NSG mice and the CD19-K562-luc model mice was 211 and 204 min, respectively, whereas it was prolonged by 790 min in the Raji model mice. The AUC analysis also confirmed that exposure to radiolabeled CAR T cells in the blood of tumor-bearing mice was significantly higher than that of NSG mice (Fig. 5c). For NSG, CD19-K562-luc, and Raji model mice, the mean AUCs of the blood pharmacokinetics of 89Zr-labeled CAR T cells were 1854, 5306, and 17178 %ID/g*min, respectively. Pearson correlation analysis revealed a high correlation between blood uptake at 4 h p.i. and the AUC(0-∞) of radiolabeled CAR T cells (Fig. 5d). The pharmacokinetics of 68Ga-labeled CAR T cells were also investigated in NSG mice (Fig. 5e). A high correlation for blood uptake between 68Ga-labeled CAR T cells and 89Zr-labeled CAR T cells within 4 h was also found (Fig. 5f).
Ex vivo biodistribution
KM mice were sacrificed at various times after radiolabeled CAR T cell injection for the ex vivo biodistribution study (Fig. 6). A very rapid reduction in lung uptake was found within the first 2 h in mice treated with radiolabeled CAR T cells. The lung uptake decreased from 93.0% ID/g to 33.7% ID/g for 68Ga-labeled CAR T cells. At the same time, liver and spleen uptake increased as lung uptake decreased. The total accumulation of 68Ga-labeled CAR T cells in the lungs, liver and spleen within all solid tissues reached more than 80% 4 h after injection. Thus, for other organs, such as the brain, heart and kidney, few of the 68Ga-labeled CAR T cells weredistributed within them. The 89Zr-labeled CAR T cells also remained in the lungs, liver and spleen withinthe first 4 h similarly to the 68Ga-labeled CAR T cells. We also compared the ex vivo distribution and PET imaging results of 89Zr-labeled CAR T cells in KM mice. To eliminate the body weight effect, we used SUV as the indicator. The SUV of the lung, liver and spleen at 4 h p.i. are shown in Supplementary Fig. S2. The distribution was similar in the lung and liver, while spleen uptake ex vivo was slightly higher than that observed during PET imaging.
Absorbed dose estimates
The estimations of the human absorbed doses to normal tissues based on PET imaging of 89Zr-and 68Ga-labeled CAR T cells in NSG mice are summarized in Table 1. The calculated dosimetry data showed that the total whole-body effective dose from 68Ga-labeled CAR T cells was dozens of times lower than that from 89Zr-labeled CAR T cells (1.29 mSv/MBq for 89Zr and 0.053 mSv/MBq for 68Ga). The absorbed effective dose was far less than that received from typical abdominal CT scans. The doses received by the lungs, liver, spleen, and stomach wall were relatively higher than those received by other tissues and organs for both for 89Zr- and 68Ga-labeled CAR T cells.
Table 1.
Target organ | Effective dose (mSv/MBq) | |
---|---|---|
89Zr | 68Ga | |
Adrenals | 3.13×10−2 | 2.13×10−4 |
Brain | 3.01×10−4 | 4.63×10−6 |
Esophagus | 4.23×10−2 | 6.58×10−4 |
Eyes | 0.00×1000 | 0.00×1000 |
Gallbladder wall | 1.43×10−2 | 1.45×10−4 |
Left colon | 4.54×10−2 | 3.20×10−4 |
Small intestine | 3.73×10−3 | 2.81×10−5 |
Stomach wall | 2.25×10−1 | 2.23×10−3 |
Right colon | 2.55×10−2 | 2.17×10−4 |
Rectum | 2.33×10−3 | 1.55×10−5 |
Heart wall | 8.80×10−3 | 1.75×10−4 |
Kidneys | 1.65×10−2 | 1.18×10−4 |
Liver | 1.41×10−1 | 3.60×10−3 |
Lungs | 2.69×10−1 | 3.50×10−2 |
Pancreas | 1.18×10−2 | 9.82×10−5 |
Prostate | 5.89×10−4 | 3.75×10−6 |
Salivary glands | 6.67×10−4 | 1.15×10−5 |
Red marrow | 6.00×10−2 | 7.68×10−4 |
Osteogenic cells | 2.78×10−3 | 3.37×10−5 |
Spleen | 3.65×10−1 | 8.79×10−3 |
Testes | 6.91×10−4 | 3.61×10−6 |
Thymus | 5.14×10−3 | 1.10×10−4 |
Thyroid | 1.46×10−2 | 3.74×10−4 |
Urinary bladder wall | 2.45×10−3 | 1.61×10−5 |
Total Body | 1.29×1000 | 5.30×10−2 |
Discussion
In recent decades, many radionuclides have been used for cell tracking, such as 111In, 99mTc, 89Zr, 68Ga,64Cu, and18F [21, 30–32]. The probe molecules labeled with these radionuclides were designed to directly or indirectly label cells, either by direct loading inside cells or by binding to receptors on the surfaces of cell membranes [33]. The radionuclides used for cell tracking usually need to meet certain conditions, including having the proper positron energy and abundance, convenient and economical availability, simple labeling procedures, minimal effects on cell survival and function, and minimal efflux from cells. 68Ga is a radioisotope with better positron abundance, energy and gamma emission than 89Zr, but its half-life is only 67.7 min. The successful commercialization of the 68Ge/68Ga generator has also made its use convenient for clinical studies [34]. The use of 68Ga for direct labeling of cells often makes it difficult to track cell distribution in vivo because 68Ga can generally only support PET imaging for a few hours, while cell tracking usually takes several days. For killer T cells such as CAR T cells, cell tracking over several days allows for the observation of accumulation within the solid tumor [23]. However, long-lived radionuclides in CAR T cells remain in the liver and spleen for days or even weeks, which remains a safety concern for clinical translation. Therefore, we attempted to prepare CAR T cells directly labeled with the 68Ga radioisotope to study the cell tracking ability of PET imaging.
We first studied the process of labeling with 68Ga-oxine in the examined cells. Similar to the 89Zr-oxine complex [24], the 68Ga-oxine complex can be prepared by simply mixing the components in an aqueous solution. The obtained complex can be directly used for cell labeling without further purification. Within the two half-lives of 68Ga, no obvious efflux of 68Ga from cells was found. Moreover, the oxine-mediated direct labeling process is also conducive to the survival of the studied cells, which is consistent with reports in the literature [24]. Furthermore, owing to the short life of 68Ga, 68Ga-labeled CAR T cells showed higher cell viability than 89Zr-labeled CAR T cells. These results indicate that 68Ga-oxine, similar to 89Zr-oxine, can be used for living cell labeling.
We used PET imaging to monitor the distribution behavior of radiolabeled CAR T cells in vivo and perform ex vivo biodistribution tests. Due to the massive difference in the half-lives of 68Ga and 89Zr, 68Ga-labeled CAR T cells were monitored by PET imaging for 6 h, while 89Zr-labeled CAR T cells were monitored for 260 h. The overall biodistribution observed for the 89Zr- and 68Ga-labeled CAR T cells was basically consistent. The cells were first taken up by the lungs and then migrated to the liver and spleen. The in vivo behavior of 68Ga-labeled CAR T cells is also consistent with that of oxine-mediated 111In-labeled and 89Zr-labeled CAR T cells [22, 23]. We performed a Pearson correlation analysis of the in vivo distribution of 89Zr- and 68Ga-labeled CAR T cells based on the PET images, and the results showed that their distribution in vivo was strongly correlated. The blood uptake of 89Zr- and 68Ga-labeled CAR T cells was also found to be highly related. Combining these results, it can be concluded that the use of 68Ga-oxine is completely feasible for cell labeling and short-term imaging of cells in vivo.
Severe combined immuno deficiency mice were selected for the pharmacokinetics study, including Raji Burkitt’s lymphoma model, CD19-K562-lucx enograft and NSG mice. The Raji Burkitt’s lymphoma model is a human lymphoma xenograft model. CAR T cells first recognize the antigen and then bind tumor cells after entering the body [35]. Because the blood circulation of the Raji model mouse contains a large number of tumor cells, it is apparent that the metabolic clearance of radiolabeled CAR T cells from the blood of the Raji model is significantly lower than that of the CD19-K562-luc and NSG models. The blood clearance half-life was as high as 790 min, which is ~4 times longer than that of the other two models. The CAR T cell-based therapies result in a long clearance time in the blood, which exceeds the tracking period of the 68Ga radioisotope. However, we can see that the early metabolic rate (the first 4 h p.i.) is completely related to the long-term metabolic rate, so we only need to obtain the early distribution data to predict the long-term metabolic process.
The ex vivo biodistribution analysis and PET imaging also confirmed that the majority of the 68Ga-labeled CAR T cells remained in the lung, spleen, and liver 4 h after injection, similar to the 89Zr-labeled CAR T cells. Surprisingly, spleen uptake was slightly higher than liver uptake according to the ex vivo biodistribution, whereas the PET imaging results indicated the opposite. We compared the 4 h p.i results for 89Zr-labeled CAR T cells in KM mice (Fig. S2), and there was no significant difference between the liver and spleen according to both PET imaging and the ex vivo biodistribution in KM mice. We speculate that the slight difference in the spleen is due to ROI selection. The distribution data obtained from PET images represent the ROI, which is just a slice of the whole organ, whereas the ex vivo distribution represents the whole organ. The cell distribution in the same organ is not homogeneous. Furthermore, the drawing of the ROI for the spleen is difficult because the volume of the spleen is quite small, whereas the liver is large enough to easily select the highly radioactive area. This is a limitation of microPET without computed tomography (CT). This issue can be easily resolved in clinical translation by fusing PET images and CT images in PET/CT scans. In a previous study, a mismatch of the distribution in the liver and spleen determined by ex vivo biodistribution and PET imaging was also observed [29], similar to our study. The liver uptake of radiolabeled γδ-T cells was higher than spleen uptake at 168 h p.i. according to PET imaging, whereas the uptake in the liver was lower than that in the spleen according to the ex vivo distribution.
Dosimetry analysis can help predict potential toxicity that may occur in humans and can also help scientists determine the optimized initial dose strategy when needed. The pattern of the absorbed dose values obtained in this study indicates that CAR T cells were located in several tissues. Due to the short half-life of the 68Ga radioisotope, the absorbed dose value produced by 68Ga-labeled CAR T cells in each organ was much lower than that produced by 89Zr-labeled CAR T cells. The total absorbed dose of 68Ga-labeled CAR T cells was only one twenty-fourth of that of 89Zr-labeled CAR T cells. Even in the lung, which had the highest absorbed dose, the absorbed dose was only one-seventh of that resulting from 89Zr-labeled CAR T cells. The great reduction of the systemic absorbed dose can effectively ensure the safety of the irradiation dose used in the clinical translation process of the cell tracking method.
This proof-of-concept study demonstrated that CAR T cells directly labeled with short half-life radionuclides can also be used for in vivo cell tracking by PET imaging. The convenient operation, high feasibility, and low absorbed dose of this method indicate its high potential for clinical translation. In the future, further exploration of the relationships between early PET imaging, metabolic kinetic data and the degree of disease progression and prognosis can provide more support for the clinical translation of this cell tracking method.
Conclusion
In summary, we demonstrated the feasibility of the replacement of 89Zr with 68Ga to directly label CAR T cells for in vivo cell tracking by PET imaging. This method can be utilized for cell tracking in the early period post CAR T cell administration. Early observations of the dynamic trafficking of CAR T cells were correlated with the long-term fate of infused CAR T cells in vivo. The accurately quantitated 68Ga-labeled CAR T cells, which were trafficked to organs with low radionuclide exposure, have much better safety profiles than 89Zr-labeled CAR T cells, suggesting that this method can be safely translated to humans. This method provides a potential solution for the emerging need for safe and practical PET tracers for cell tracking in the clinic and deserves further evaluation to determine its behavior in various cell types and animal models.
Supplementary information
Acknowledgements
We thank financial supports from the Leading technology foundation research project of Jiangsu province (BK20192005), National Natural Science Foundation of China (31971316), National Significant New Drugs Creation Program (2017ZX09304021), Jiangsu Province Foundation (BK20170204), Jiangsu Provincial Medical Innovation Team (CXTDA2017024), 333 Project in Jiangsu Province (BRA2019105), Innovation Capacity Development Plan of Jiangsu Province (BM2018023), and Jiangsu Provincial Key Medical Discipline (ZDXKA2016017).
Author contributions
MY, LYM, LY, and GJW designed the experiments. YW, QW, JJL, DHP, LZW, JJY, and YPX performed the radiolabeling, microPET imaging, and biodistribution experiments. WQ established the cell lines and animal models. YW, XYW, QW, and JJL analyzed the data. XYW, YW, YL, MY, and LY wrote the manuscript.
Competing interests
The authors declare no competing interests.
Footnotes
These authors contributed equally: Xin-yu Wang, Yan Wang
Contributor Information
Li-yan Miao, Email: miaolysuzhou@163.com.
Lei Yu, Email: ylyh188@163.com.
Min Yang, Email: yangmin@jsinm.org.
Supplementary information
The online version of this article (10.1038/s41401-020-00511-5) contains supplementary material, which is available to authorized users.
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