Lung delivery of MSCs expressing anti-cancer protein TRAIL visualised with 89Zr-oxine PET-CT



MSCTRAIL is a cell-based therapy consisting of human allogeneic umbilical cord-derived MSCs genetically modified to express the anti-cancer protein TRAIL. Though cell-based therapies are typically designed with a target tissue in mind, delivery is rarely assessed due to a lack of translatable non-invasive imaging approaches. In this preclinical study, we demonstrate 89Zr-oxine labelling and PET-CT imaging as a potential clinical solution for non-invasively tracking MSCTRAIL biodistribution. Future implementation of this technique should improve our understanding of MSCTRAIL during its evaluation as a therapy for metastatic lung adenocarcinoma.


MSCTRAIL were radiolabelled with 89Zr-oxine and assayed for viability, phenotype, and therapeutic efficacy post-labelling. PET-CT imaging of 89Zr-oxine-labelled MSCTRAIL was performed in a mouse model of lung cancer following intravenous injection, and biodistribution was confirmed ex vivo.


MSCTRAIL retained the therapeutic efficacy and MSC phenotype in vitro at labelling amounts up to and above those required for clinical imaging. The effect of 89Zr-oxine labelling on cell proliferation rate was amount- and time-dependent. PET-CT imaging showed delivery of MSCTRAIL to the lungs in a mouse model of lung cancer up to 1 week post-injection, validated by in vivo bioluminescence imaging, autoradiography, and fluorescence imaging on tissue sections.


89Zr-oxine labelling and PET-CT imaging present a potential method of evaluating the biodistribution of new cell therapies in patients, including MSCTRAIL. This offers to improve understanding of cell therapies, including mechanism of action, migration dynamics, and inter-patient variability.


Lung cancer is the leading cause of cancer death worldwide, survival rates are among the lowest [1], and improvement of treatment options is among the slowest of the major cancer types. The need for rapid translation and validation of new lung cancer therapies is therefore of high importance. Cell-based therapies have the potential to answer unmet clinical needs in a number of disease areas including oncology [2]. However, the spatial and temporal distribution of transplanted cells is rarely assessed in patients due to a lack of established technologies [3]. This can lead to concerns over safety and efficacy, lack of mechanistic understanding, and delays in translation [3,4,5]. We assess here the suitability of 89Zr-oxine labelling and positron emission tomography (PET) imaging to inform on the biodistribution of mesenchymal stromal cells (MSCs) in a clinical cell/gene-therapy trial for lung cancer.

Targeted stem cells expressing TRAIL as therapy for lung cancer (TACTICAL) is a prospective, randomised phase I/II trial to assess the safety and efficacy of third party, pooled human allogeneic umbilical cord-derived MSCs expressing TRAIL (MSCTRAIL) in combination with pembrolizumab, cisplatin, and pemetrexed as first-line therapy for metastatic lung adenocarcinoma [6, 7] ( Identifier: NCT03298763). TNF-related apoptosis-inducing ligand (TRAIL) selectively induces apoptosis in cancer cells via binding to cell surface death receptors (DR4, DR5), thereby activating the extrinsic apoptotic pathway [8]. TRAIL has also been shown to act synergistically with a range of chemotherapeutic drugs including cisplatin and pemetrexed, which act to upregulate death receptor expression, suiting TRAIL to use in combination therapy [9, 10]. Though the clinical utility of soluble recombinant TRAIL is limited by its short half-life in the body, its pharmacokinetics can be improved by constitutively expressing TRAIL on the surface of MSCs. This not only increases blood half-life but takes advantage of the reported tumour-tropism of MSCs [8, 11,12,13] and their propensity for lung delivery and retention following intravenous injection [14]. This study is a preclinical assessment of the feasibility of imaging lung-specific MSCTRAIL delivery, and duration of cell retention, using 89Zr-oxine and PET in a separate imaging arm of the TACTICAL phase II trial.

89Zr-oxine has recently emerged as a favourable PET alternative to 111In-oxine [15,16,17], which has enabled diagnostic tracking of white blood cell infusions for over 40 years with SPECT or scintigraphy. In addition to offering 111In-oxine’s advantages of ~ 3-day half-life and rapid radiolabelling, 89Zr-oxine benefits from the > 10-fold increased sensitivity of detection associated with PET [18]. With the introduction of total-body clinical PET scanners, this is set to increase by a further ~ 40-fold, reducing scan times and radioactive doses for patients and thus increasing the practicality of whole-body cell tracking in the clinic [19]. A handful of preclinical studies have so far shown the worth of 89Zr-oxine in tracking cell therapies in mouse models, including T cells [20, 21], dendritic cells, NK cells [17], and bone marrow cells [22, 23]. However, 89Zr-oxine toxicity is dependent on the amount used for labelling and varies between cell types, requiring individual evaluation with each prospective cell therapy prior to clinical implementation.

Therapeutic and phenotypic equivalence after 89Zr-oxine labelling was shown for MSCTRAIL, and toxicity investigated to ascertain tolerated labelling amounts in vitro. Delivery of viable cells and their retention in the lung was shown over 7 days in a preclinical lung tumour model, and human dosimetry estimates were calculated. This study illustrates the feedback that 89Zr-oxine labelling and PET imaging could provide on the biodistribution of cell-based therapies during the clinical trial phase of development. Wider use of cell tracking techniques such as this promises to contribute to a better scientific understanding of therapeutic cell behaviour within patients, as well as their associated safety profile, thereby informing future developments and effective translation.


89Zr-oxine synthesis and purification

89Zr-oxalate stock (2–40 MBq; Perkin Elmer) was diluted to 500 μL with HPLC-grade water and neutralised with 1 M NaOH (Sigma-Aldrich). To this was added 20 μL of a 10-mg/mL solution of 8-hydroxyquinoline (ACS reagent, 99%, Sigma-Aldrich: 252565) in chloroform (Sigma-Aldrich), in a screw-top round-bottomed tube (BRAND® culture tubes, 6.5 mL, AR-Glas®, Sigma-Aldrich) and held onto a vortex mixer (Grant Bio, model PV-1) for 5 min using a clamp. Chloroform was added (480 μL) before vortexing for 25 min. After brief centrifugation, the chloroform phase containing Zr-oxine was removed and evaporated at 80 °C in a conical bottom HPLC vial (Supelco CD vial, 9-mm screw, Sigma-Aldrich), before resuspension in 15 μL of dimethyl sulfoxide (DMSO anhydrous, Sigma-Aldrich) at 50 °C for 20 min. Radiochemical yield (RCY) was calculated as the percentage of total original activity extracted into the chloroform phase, giving an average RCY of 74.2% ± 4.3 SEM (n = 16). Negative control synthesis was performed without addition of 8-hydroxyquinoline to the chloroform phase, resulting in retention of all the activity in the aqueous phase.

MSC isolation

Human umbilical cord tissue was manually dissected, then enzymatically and mechanically digested to isolate MSCs using plastic adherence to cell culture-treated flasks. Passage 0 cultures were cultured in serum-containing α-MEM (Gibco) with antibiotic/antimycotic, then expanded subsequently in serum-free, xeno-free medium prior to labelling. A pooled population of MSC TRAIL derived from three donor cords was used for all experiments, except for those shown in figure S2, which were from a single donor.

Cell culture

Cells were cultured in 5% CO2, at 37 °C, in either RPMI (Gibco), supplemented with 10% foetal bovine serum (FBS; Gibco) for PC9 (lung adenocarcinoma) CRL2081, H28, H2869 (malignant pleural mesothelioma), and MDAMB-231 (breast adenocarcinoma) cells, or α-MEM (Gibco) with 10% FBS (Gibco) for uct-MSCs (MSCTRAIL). α-MEM was also used for MSC/cancer cell co-culture apoptosis assays. H28, PC9, and H2869 lines were obtained from the Wellcome Trust Sanger Institute, and MDAMB-231, CRL-2081, and 293T were obtained from Cancer Research UK. All tissue culture reagents were obtained from Invitrogen. For cell culture following radiolabelling, growth media were supplemented with 50 U/mL penicillin and 50 mg/mL streptomycin (Invitrogen). MSCTRAIL and untransduced uct-MSCs were passaged once they reached 70 to 80% confluency. Cells were washed twice with PBS and incubated with trypsin (0.05% with EDTA, Gibco) at 37 °C until detached, and trypsin removed after dilution with media by centrifugation at 200g, before resuspension of cells in fresh media. MSCs were re-seeded at 500 to 3000/cm2 depending on the assay.

Lentiviral production and transduction

The lentiviral plasmid expressing TRAIL, pCCL-CMV-flT, previously described [24] was used to overexpress TRAIL on MSCs. The ZsGreen-luciferase plasmid, pHIV-Luc-ZsGreen (a gift from Bryan Welm, Addgene plasmid #39196), was used for generating ZsGreen luciferase-expressing lentivirus. Lentiviral vectors were produced by co-transfection of 293T cells with construct plasmids together with the packaging plasmids pCMV-dR8.74 and pMD2.G using DNA transfection reagent jetPEI (Source Bioscience UK Ltd). Lentiviruses were concentrated by ultracentrifugation at 17,000 rpm (SW28 rotor, Optima LE80K Ultracentrifuge, Beckman Coulter, Brea, CA) for 2 h at 4 °C. Titres were determined via transduction of 293T cells with serial dilutions of virus and 8 μg/ml Polybrene (Sigma-Aldrich). TRAIL and ZsGreen expression were assessed by flow cytometry. MSCs were transduced at a range of MOIs using 8 μg/ml Polybrene and transduction efficacy assessed by flow cytometry.

Cell labelling

MSCTRAIL (1.5 × 106 per condition for toxicity experiments; 2 × 107 for in vivo injections) were resuspended in 200 μL PBS. A further 100 μL was added containing PBS + 89Zr-oxine resuspended in DMSO (3% final concentration per 300 μL in both 89Zr-oxine and sham labelling conditions), with a further control of PBS alone. Cell suspensions were incubated for 20 min at room temperature, pelleted at 900 g, supernatant removed, and resuspended in PBS. This was repeated three times to remove unbound radiolabel. Final bound activity was measured using an ionisation chamber (Curiementor 4, PTW Freiburg GmbH) and expressed as kBq per 106 cells, following cell counting. Total labelling and washing time was ~ 45 min on each occasion.

Flow cytometry

For flow cytometry detection of TRAIL expression, cells were stained with a 1:50 dilution of phycoerythrin (PE)-conjugated mouse monoclonal antibody against human TRAIL (550516, BD Biosciences). For immunophenotyping of MSCs, the cells were stained with 1:50 dilution of fluorochrome-conjugated mouse monoclonal antibodies against CD73 (PE-Vio770, 130-104-224, Miltenyi Biotec), CD105 (APC, 130-094-926, Miltenyi Biotec), CD90 (PE, 561970, BD Biosciences), CD34 (FITC, 560942, BD Biosciences), CD45 (FITC, 560976, BD Biosciences), and HLA-DR (FITC, 555560, BD Biosciences).

In vitro cell viability assays

MSCTRAIL were labelled as above with a range of 89Zr-oxine amounts dissolved in DMSO, or DMSO only or PBS only for the control conditions. Cells were seeded into 96-well culture plates at 10,000/well in 100-μL culture medium straight after radiolabelling, n = 4 per condition. A separate plate was seeded for each time point and assay. For ATP measurement, CellTiter-Glo® reagent was freshly prepared and added at a 1:1 ratio to culture medium. Light output was measured using a plate reader (VarioSkan Lux, Thermofisher Scientific) 10 min after reagent addition. For measurement of the reducing power of cells (NADH levels), XTT reagent (Roche) was prepared according to the manufacturer’s instructions. To each well, 50 μL reagent was added, including control wells containing media but no cells, followed by 4-h incubation at standard culture conditions. Absorbance at 490 nm and 630 nm was recorded using a plate reader (VarioSkan Lux, Thermofisher Scientific), and mean absorbance of each well at 630 was subtracted from absorbance at 490 nm and corrected for background metabolism in control wells. For measuring the cell viability of cancer cells upon co-culture with MSCTRAIL, ZSGreen luciferase-expressing H28 and PC9 tumour cells were seeded into 96-well culture plates at 5000 cells/well in 100 μL culture medium and treated with 2000 MSCTRAIL for 24 h. To measure cell viability, luciferin was added to each well (10 μL, 15 mg/mL) and photon counts were obtained after 10 min using a plate reader (VarioSkan Lux, Thermofisher), with 1-s acquisition per well. Each condition was obtained in triplicate.

Activity retention assay

MSCTRAIL were seeded at 10,000/well in α-MEM (Gibco) with 10% FBS in 96-well plates. At each time point, growth media were removed and pooled with a wash of 100 μL PBS (+ 1 mM EDTA). Cells were lysed using 100 μL RIPA buffer (Thermo Scientific), which was pooled with a further wash of 100 μL PBS (+ 1 mM EDTA). Activity in media and cell fractions was measured using a Wizard 2480 automated gamma counter (PerkinElmer), and the percentage of activity retained calculated as the percentage of the total amount in the cell + media fractions in the cell fraction. Four individually seeded replicates were taken per time point.

In vitro apoptosis assay

To assess the apoptosis of tumour cells co-cultured with MSCTRAIL, DiI-labelled cancer cells were plated into a 96-well plate (5000 cells/well), to which 2000 MSCTRAIL cells were added for 24 h. Floating and adherent cells were stained with AF647-conjugated Annexin V (Invitrogen) and 2 μg/mL DAPI (Sigma) and were assessed by means of flow cytometry. Annexin V+ cells were considered to have undergone apoptosis; Annexin V+/DAPI+ cells were considered to be dead by apoptosis.

Western blot

Cells labelled as above were seeded at a density of 7.5 million into T175 flask (Nunc) and split 1 in 5 at 72 h. The remaining cells were pelleted and snap frozen using powdered dry ice. Re-seeded cells were harvested at 7 days post-labelling and frozen in the same way. Frozen samples were left to decay until no background radiation was detectable, and protein lysates prepared using cell lysis buffer (RIPA, Thermofisher Scientific) according to the manufacturer’s instructions. Protein content of cell lysates was measured using the BCA assay according to the manufacturer’s instructions (Pierce, Thermofisher Scientific). Lysates were denatured using 10x reduction buffer (NuPage Sample reducing agent, Life Technologies) and loaded onto gels (BioRad Mini Protean TGX) at 30 mg together with 4x loading buffer (NuPage LDS sample buffer; Life Technologies) and pre-stained protein ladder (PageRuler™ 10 to 180 kDa; Thermofisher Scientific). Gels were blotted onto nitrocellulose membranes using the Trans-Blot Turbo device (BioRad) and probed using 1 in 1000 dilution of NRF2 (Cell Signaling Technology; 12721), beta-actin (Cell Signaling Technology; 4967), Phospho-Histone H2A.X (Ser139) (20E3) Rabbit mAb #9718, and TRAIL (anti-human TRAIL; c-terminal; ab42121, Abcam)) with horse-radish peroxidase-conjugated anti-rabbit secondary antibody (Cell Signaling Technology, #7074), using the iBind Flex incubation system (Thermofisher Scientific). ECL developer (ECL Prime, GE) was added to membranes for 5 min and carefully blotted off before imaging (ImageQuant, LAS4000; GE). Band intensity was measured using ImageJ ( with the gel analyse plug-in.

Animal work

Female mice with severe combined immunodeficiency (NOD-SCID Gamma, strain NOD.Cg-Prkdc scid Il2rgtm1Wjl/SzJ; Charles River, UK) were aged 6–8 weeks and weighed 20–22 g at the time of implantation. Procedures were carried out under the authority of project and personal licences issued by the Home Office, UK, and were approved by local Animal Welfare and Ethical Review Bodies at University College London.

Cell implantation

A small patch of fur was shaved over the right hand side of the rib cage. Under isoflurane anaesthesia, 1 × 105 human mesothelioma cells (CRL2081, transduced to express firefly luciferase) were injected into the intra-pleural space between the third and fourth rib up from the bottom of the ribcage in 50 μL PBS. Tumour growth was followed up by bioluminescence imaging at 1, 7, 10, 16, and 22 days post-injection, at which point mice were injected intravenously with 1.5 × 106 89Zr-oxine-labelled MSCTRAIL in 200 μL PBS.

Bioluminescence imaging

Mice were anaesthetised with isofluorane and kept at 37 °C, injected intraperitoneally with 150 mg/kg of D-Luciferin solution, and imaged at 20 min post-injection (for tumour monitoring) and 15 min post-injection (for MSCs) using an IVIS Lumina (Perkin Elmer). Exposure times were optimised to ensure sufficient signal was obtained without saturation. Light output was quantified using ROI analysis and normalised to photons/second/steradian. Cherenkov luminescence from 89Zr decay could not be seen above background noise, but was compensated for using images taken prior to luciferin injection with background signal subtracted over the relevant ROI from post-luciferin values.

PET imaging

Mice were imaged at the stated time points after intravenous injection of 89Zr-oxine-labelled MSCTRAIL, using a PET-CT (Mediso NanoScan) interfaced to InterView Fusion software. CT was acquired at 50 kVp with 300-ms exposure and reconstructed in 0.13-mm isotropic voxels. PET data was reconstructed in 5:1 mode using the Tera-Tomo algorithm in 0.4-mm isotropic voxels and analysed using VivoQuant software (InViCro). 3D ROIs were drawn manually around the lungs, liver, kidneys, spleen, and brain, based on CT soft-tissue contrast, and bones were segmented using CT signal thresholding. The percentage of injected dose/organ (%ID/organ) was calculated using decay-corrected ROI values.

Magnetic resonance imaging

Images were obtained using a 1-T MRI system (ICON; Bruker BioSciences Corporation, Ettlingen, Germany), interfaced to a console running Paravision 5 software (Bruker). A 30-mm mouse body solenoid RF coil (Bruker) was operated on transmit/receive mode. A rectal thermometer and respiratory pad provided physiological monitoring (SA Instruments, New York, USA), with temperature maintained via a water-heated bed. Multi-slice images of the lungs were acquired using a T2-RARE sequence, with effective TE of 55.8 ms (echo train length = 6), TR = 1463 ms, 8 averages, 12 slices, field of view of 2.56 × 2.56 cm, 128 × 128 matrix, 1-mm slice thickness, 0.1-mm slice spacing, and respiratory gating. Total scan time was 4 min 5 s.

Dosimetry estimation

Details of dosimetry calculations can be found in the supplementary information.


89Zr-oxine effect on viability of MSCTRAIL is dependent on the amount of labelling activity and time

Umbilical cord tissue-derived mesenchymal stromal cells (uct-MSCs) were transduced using a lentiviral vector encoding TRAIL. TRAIL expression at 95% was confirmed by flow cytometry (Figure S1), and these cells (hereafter referred to as MSCTRAIL) were used for all subsequent experiments except where otherwise stated.

To assess 89Zr-oxine cytotoxicity, freshly harvested MSCTRAIL were radiolabelled over a 10-fold range of activity between 1515 and 152 kBq/106 cells (as measured after 3 washes), or sham labelled in PBS alone, or PBS + 3% DMSO (used as a 89Zr-oxine vehicle). A 20-min labelling incubation was chosen to facilitate use within the 90-min post-defrosting during which TRAIL-MSCs typically maintain maximum viability when left in the cryopreservant [25]. Labelling efficiency correlated negatively with 89Zr-oxine amount (R2 = 0.804), with the lowest two amounts achieving the highest labelling efficiency with between 29 and 33% retained after 3 washes (Figure S2A), comparable to prior reports using a 30-min incubation [16]. The highest amount showed the earliest effect on viability vs unlabelled cells after 3 days, though all amounts resulted in a significant reduction in cell growth as measured by ATP and NADH metabolism from day 4 onwards (Figure S2B, C). Two-way ANOVA analysis showed significant individual as well as interactive effects from time and amount of 89Zr per cell (p < 0.001).

Cryopreserved MSCTRAIL doses are thawed immediately prior to patient transfusion in the TACTICAL trial [25] and will be radiolabelled between thawing and transfusion for the imaging cohort. For 89Zr doses equivalent to 37 to 100 MBq per patient receiving a cell dose of 5 × 106 cells/kg (4 × 108 cells for a patient of 80 Kg), we assessed the effects of labelling MSCTRAIL immediately after defrosting, encompassing the clinical range of 92.5–250 kBq/106 cells. The highest labelling amount (332 kBq/106 cells) showed the earliest effect on ATP metabolism vs sham (PBS)-labelled cells at 4 days post-labelling, though all amounts resulted in a significant reduction in ATP and NADH levels from day 7 (Fig. 1a, b). Time accounted for 74% (ATP) and 68% (NADH) of variation and amount for 9% (ATP) and 13% (NADH) of variation, with significant interaction between labelling amount and time accounting for 11% (ATP) and 17% (NADH) of variation (2-way ANOVA, p < 0.0001).

Fig. 1

MSCTRAIL show time- and amount-dependent sensitivity to 89Zr-oxine labelling but retain MSC phenotype. MSCTRAIL cells were labelled from frozen with 89Zr-oxine between 79 and 332 kBq/106. Cells show reduced proliferation with increasing amount as indicated by metabolism of ATP (a) and NADH (b). Error bars show standard deviation (SD). *p < 0.05, **p < 0.01, ***p < 0.001 2-way ANOVA with Dunnett’s multiple comparisons test vs PBS control. c Retention of 89Zr oxine decreases over time (n = 4). The 2-way ANOVA analysis showed that the majority of variation (67.5%) was due to time (p < 0.0001), with amount having a significant (p = 0.015) but small effect (3% of variation) on activity retention. d MSCTRAIL retain their MSC phenotype (CD45-ve, CD73, CD90, and CD105+ve), post-radiolabelling with 89Zr-oxine (amount shown 332 kBq/106 cells)

The effect of 89Zr amount on activity retention was also investigated (Fig. 1c), with the majority of variation in retention (67%) due to time (2-way ANOVA; p < 0.0001), with a small but significant effect from labelling amount (3%, p = 0.015). Most of the label loss occurred during the first 24 h after which label loss was slower, with only a further 12% being lost between 24 h and 7 days.

Similar interactive and individual time- and amount-dependent effects on ATP and NADH metabolism were observed in MSCTRAIL labelled directly after harvesting from culture (Figure S3A,B) across a comparable range of 89Zr-oxine amounts (72 to 283 kBq/106 cells). Labelling efficiency of frozen MSCTRAIL at 37.7% (SD = 2.2) was comparable to the mean of 43% (SD = 3.6) achieved with cells harvested directly from culture.

Since radiolabelling affects MSCTRAIL cell viability at higher 89Zr amounts, we investigated if this was due to cytotoxic or cytostatic effect induced by the radiolabel. Cell cycle analysis of MSCTRAIL labelled directly after thawing (Figure S4) showed changes in cell cycle profile from the 3-day to 7-day post-labelling time points which increased with amount, consistent with metabolic changes (Fig. 1). The proportion of cells in G2/M in the top two radiolabelling amounts doubled compared to the PBS control, suggesting that activation of the DNA damage checkpoint may be responsible for the decreased rate of proliferation at these amounts. At the lower amount (79 kBq/106 cells), cells showed a similar cell cycle profile to control cells at days 3 and 7, consistent with their more similar metabolic profile to unlabelled cells. Increases in apoptotic cell fraction (up to 32% for the higher amount) were only seen at the highest two amounts at day 7, though ~ 7% of cells were still in S phase, consistent with the slow but continuing replication up to day 7 (Fig. 1).

To further assess the effects of radiolabelling, Western blot analysis of cell extracts from 7 days post-labelling was assessed for γ-H2AX upregulation for DNA damage signalling and Nrf2 upregulation for oxidative stress (Figure S5A). Protein upregulation was not detected in radiolabelled compared to control cells at this time point. This suggests that DNA damage has either been repaired in cells by this time point or that it is occurring below the threshold of detection, and that cells are not showing detectable levels of oxidative stress signalling. To confirm the functioning of these homeostatic signalling pathways in cells after radiolabelling, this experiment was repeated using TBHP to induce DNA damage and oxidative stress, which showed upregulation of both proteins in radiolabelled and non-radiolabelled cell populations (Figure S5B).

Radiolabelling does not affect MSC-specific cell surface marker profile

Flow cytometry was used to evaluate the effect of radiolabelling on MSCTRAIL surface marker phenotype, using the ISCT-approved MSC identification panel of antibodies [26]. Low to high radiolabelled and control (PBS and PBS+DMSO sham labelled) MSCTRAIL showed the expected cell surface marker expression for MSCs (+ve for CD73, CD90, and CD 105; −ve for CD14, CD19, HLA class II, CD34, and CD45), (Fig. 1d and S6). Radiolabelling amounts above and below the range needed for clinical PET imaging of MSCTRAIL are therefore compatible with maintaining an MSC-like cell surface marker phenotype. Cell morphology was also comparable between sham-labelled and radiolabelled MSCs when observed using phase-contrast microscopy at 96 h post-labelling (Figure S7).

TRAIL expression and therapeutic function is unaffected by radiolabelling

To assess the effect of 89Zr-oxine on therapeutic capacity, maintained TRAIL expression on MSCs was confirmed 7 days post-labelling with Western blot (Fig. 2a). Labelled and unlabelled MSCTRAIL were co-cultured with luciferase-expressing TRAIL-sensitive (NCI-H28, human lung mesothelioma) and partially TRAIL-resistant (PC9; human lung adenocarcinoma) cancer cells (Fig. 2b). Reduction in viable cancer cell population was measured as light output following the addition of luciferin and compared to untreated control populations. Soluble recombinant TRAIL at 10 and 50 ng/mL was used as a positive control. Population reduction of viable cancer cells was further confirmed by light microscopy (Figure S8A). Radiolabelled MSCTRAIL maintained apoptosis-inducing ability against both cancer cells lines (Fig. 2b). An orthogonal cell death assay by Annexin V/DAPI flow cytometry in four cancer cell lines (H28, PC9, MDAMB-231, H2869) also confirmed maintained induction of apoptosis by MSCTRAIL post-radiolabelling, giving equivalent results (Fig. 2c, d, S8B).

Fig. 2

TRAIL expression and therapeutic function is maintained following radiolabelling. a Western blot analysis on protein extracts 7 days post-radiolabelling shows maintained TRAIL expression. b Viability of two human lung cancer cell lines (NHI-H28 and PC9) was measured using luciferase bioluminescence after treatment with soluble trail at 10 or 50 ng/mL, or co-incubation for 24 h with MSCTRAIL labelled 3 days prior with the indicated amounts, or sham labelled in PBS or PBS with 3% DMSO. Bars show the mean of 4 populations; error bars show SD. c Apoptosis of four cancer cell lines untreated or after incubation with MSCTRAIL (sham labelled in PBS + 3% DMSO) or MSCTRAIL radiolabelled with 89Zr-oxine at 332 kBq/106 cells, measured using Annexin V staining and flow cytometry. Error bars show SD, n = 3. d Representative FACS plots from c, showing apoptosis of H28 cells following incubation with control or radiolabelled MSCTRAIL

In vivo TRAIL-MSC tracking in a mouse model of lung mesothelioma

Immunocompromised mice were implanted intra-pleurally in the right hand side with a human mesothelioma cell line (luciferase-transduced CRL-2081), and tumour growth was followed up using bioluminescence imaging (Figure S9). T2-weighted magnetic resonance imaging and CT showed localisation of the tumour to the right lung (Fig. 3a to c) at 15 days post-implantation. MSCTRAIL were then thawed, radiolabelled (311 kBq/106 cells), and injected intravenously (1.5 × 106 cells). PET-CT showed 89Zr signal throughout the lung, including within the area containing the tumour (Fig. 3b to d).

Fig. 3

Tumour visualisation with MRI and CT and location of 89Zr-oxine-labelled MSCTRAIL visualised with PET at 2 days post-transplantation. Lung tumours detected with a axial T2-weighted magnetic resonance imaging (T2 RARE TE = 55 ms, respiratory gated) showing two consecutive 1-mm-thick slices through the lung tumour (shown in the red circle) at 15 days post-implantation b axial, c coronal, and d sagittal CT slices, with corresponding PET overlay showing the location of 89Zr-oxine-labelled MSCTRAIL in the lungs and liver

PET-CT at 1 h and 1, 2, and 7 days post-injection enabled visualisation and quantification of MSCTRAIL biodistribution dynamics (Fig. 4). The majority of signal (60%) was found in the lung at 1 h before decreasing, while liver signal increased. From 1 to 7 days post-injection, the proportion of the 89Zr signal in the lung fell further from 24.6% (± 10.4% SD) to 16.0% (± 7.9% SD). Uptake in the spleen was also visible and peaked at 2.6% of the total injected dose (± 0.64% SD) at 48 h.

Fig. 4

Whole-body biodistribution of 89Zr-oxine-labelled MSCTRAIL followed up to 1 week post-implantation. a Maximum intensity-projection PET showing 89Zr-oxine-labelled MSCTRAIL overlaid on 3D-rendered bone CT at the indicated time points after intravenous injection. The indicated organs and bones were segmented using CT data and radioactivity quantified from PET data, giving b % injected dose (ID) per gram, using the wet weight of tissue from each animal (n = 3) following dissection at day 10 post-MSCTRAIL injection, and c % ID per organ

At 10 days post-MSCTRAIL injection, organs were removed and weighed, and 89Zr activity was measured. Activity per organ was normalised to organ weight and decay-corrected (Figure S10 and Table S1). Consistent with PET-CT and ROI analysis, high amounts of activity in the lung and liver were found, with the lung having the most activity per gram (78% ID per gram ± 26%) followed by the liver (32.8% ID per gram ± 8.6%), though the liver had a higher absolute percentage of the injected dose (29.4% ± 11.5%) compared to the lungs (12.4% ± 4.3%). Activity uptake in the spleen was also still high at 10 days post-injection (43.9% ± 5.3% per gram), consistent with its visibility in the PET-CT scans (Fig. 4a); however, in absolute terms, this represented just 1.6% ± 0.5% of the total injected activity.

Correlation of PET signal with viable cell location

If 89Zr-oxine labelling is to be of practical use in tracking cell biodistribution, PET signal must correlate with viable cell location over biologically relevant timeframes. To evaluate this, uct-MSCs were transduced to express luciferase and the green fluorescent protein ZsGreen to enable independent viability and/or location confirmation with in vivo bioluminescence imaging (BLI) and ex vivo fluorescence microscopy. MSCs expressing ZsGreen luciferase were then radiolabelled with 89Zr-oxine (412 kBq/106 cells), injected intravenously, and imaged with PET-CT and BLI for 7 days. This showed correlation of radiolabel with viable cell location, with an initial predominance of signal in the lung which decreased over time on PET and BLI (Fig. 5a–c). Organs were then removed, cryosectioned, and imaged with fluorescence microscopy and autoradiography (Fig. 5d, e), together with DAPI staining (Figure S11), confirming the presence of the transplanted ZsGreen-expressing uct-MSCs in the lungs.

Fig. 5

Comparison of viable MSC location to PET signal. Intravenously injected 89Zr-oxine-labelled uct-MSCs expressing luciferase and ZsGreen were tracked over 7 days using a bioluminescence imaging and b PET-CT imaging. c ROI analysis of PET and BLI data showed a comparable decrease in %ID and photons in the lungs over time (n = 3, error bars SD). At 7 days post-injection, lungs were removed and cryosectioned, before imaging with d autoradiography (scale bar 5 mm) and e fluorescence microscopy (scale bar 200 μm), to confirm the presence of ZsGreen-expressing cells and 89Zr signal within the lungs

Regions of background 89Zr uptake

Despite a significant fraction of injected radioactivity being measured in the liver, spleen, and bones from 1 day post-injection onward, and at the end time point, no signal was detected in these organs with in vivo, or ex vivo bioluminescence (Figure S12A,B), suggesting either dissociation of the label from MSCs, or the uptake of labelled but dead MSCs or debris derived from these. Consistent with this interpretation, examination of tissue sections with fluorescence microscopy did suggest the presence of debris from ZsGreen-expressing cells (S12D,E), which was not visible in sections taken from control animals not receiving MSCs (S13). We also saw liver and spleen uptake of intravenously injected heat-inactivated MSCs seen with PET-CT, which supports the role of the liver and spleen in taking up labelled dead cells (S14), consistent with previous reports [27]. An additional likely source of liver and spleen signal is the 89Zr lost from labelled MSCs over time (Fig. 1c). Zirconium has been shown to have a strong affinity for phosphate, and 89Zr-phosphate has been shown to have high uptake in the liver and spleen, but not in the lungs. Free zirconium species such as its chloride or weakly chelated forms have also been shown to be taken up by the bone [28].

Human dosimetry estimates

Human dosimetry estimates were calculated with OLINDA software [29] using mouse to human extrapolations according to Stabin [30] and the preclinical in vivo region of interest analysis data and ex vivo biodistribution data (see Table S2 to S4). For an injected activity of 37 MBq, this gave mean effective dose estimates for male and female patients of 32.2 and 41.4 mSv, respectively. For 100 MBq per patient, this corresponds to an effective dose of 87.1 and 111.8 mSv for male and female patients, respectively. The organ-specific dose is estimated to be highest in the lungs (5.09, 6.58 mSv/MBq), spleen (2.12, 2.57 mSv/MBq), and liver (1.86, 2.39 mSv/MBq) for male and female patients, respectively.


Many factors potentially contribute to the complexity of cell behaviour and cell/host interactions including cell source and pre-processing, injection route, patient age, immune system, co-morbidities, genetics, life history, and microbiota [31,32,33]. Without assessing cell biodistribution in patients using cell tracking techniques, it remains difficult to evaluate the effect of these variables on cell behaviour and on the failure of many emerging cell-based therapies [34].

To support integration of 89Zr-oxine cell tracking into the TACTICAL trial, we have shown that TRAIL-expressing umbilical cord tissue-derived MSCs (MSCTRAIL) can be tracked non-invasively to the lungs in a preclinical lung cancer model up to 7 days post-injection. PET signal corresponded to viable cell signal from bioluminescence imaging, increasing confidence in the reliability of this technique. This lung uptake and retention of MSCs following intravenous injection is also consistent with previous reports in small [27, 35, 36] and large [37, 38] animal imaging studies, as well as patients [39]. Though intravenously injected MSCs have also been shown to subsequently migrate from the lungs to tumours or other injured or healthy organs such as the heart and bone marrow [14, 37], this finding has not been universal. Other studies have shown that MSCs sometimes remained trapped in the lungs after IV injection, where they rapidly lose viability before clearance of labelled cell debris to the liver and spleen [14, 27]. This variability between findings can variously be attributed to a range of complex interacting factors that differ between these studies, including source, species, dose and preparation of MSCs, species of animal model, and its disease state [14]. Though the results here are not enough to attribute the lung delivery and retention of MSCs to a specific tumour homing effect, they nevertheless support the intravenous route as an effective means of delivering MSCs to the lung.

Here, both BLI and PET-CT showed the loss of MSCs in the lung over the course of the week, suggesting that repeat MSCTRAIL dosing will be necessary (3 cycles of MSCTRAIL doses are given at 21-day intervals in TACTICAL). However, MSC-host interactions are likely to differ between these preclinical results where MSCs are xenogeneic to the host and the clinical scenario where they are allogenic. Inevitably, some signal was also found in areas not associated with live cells, (i.e. the liver, spleen, and bones), though these were consistent with known uptake areas of free zirconium [28] and MSC-derived debris [27]. Labelling was achieved from frozen cell stocks with relevant amounts of 89Zr-oxine within 45 min—below the 90 min over which frozen MSCTRAIL retain optimal viability post-thawing [25], suiting this approach to translation.

PET imaging of 89Zr antibodies has been reported up to 5 days post-injection with 37 MBq/patient [40, 41] and up to 6 days using 70 to 75 MBq/patient [42, 43]. To achieve 37 MBq/patient receiving 5 × 106 MSCTRAIL cells/kg (i.e. 4 × 108 cells for an 80-kg patient), this equates to 89Zr-oxine labelling at 92.5 kBq/106 cells—towards the lower range of amounts assessed here. Even at higher amounts, TRAIL expression, therapeutic efficacy, and MSC cell surface markers were retained. On the other hand, decreased proliferation rates were seen by days 4 to 7, indicating that some caution needs to be taken in optimising labelling amounts for cell therapies in which proliferation is desired.

Previous PET imaging studies have used 18F-based labelling techniques for tracking cell-based therapies in patients. For example, 18F-FDG has been used clinically to track homing of bone marrow cells to the infarcted myocardium [31] and islet cell delivery to the liver [44]. An advantage of this technique vs 89Zr-oxine labelling is that 18F-FDG is widely available, and the short half-life (110 min) reduces patient radiation exposure. However, the short 18F half-life also prevents tracking of cells over longer and possibly more interesting biological timeframes. On the other hand, the 3-day half-life of 89Zr can permit observation of labelled cells over a week as shown here, providing more information on their longer term retention, clearance, and migration.

Currently, bone marrow-derived MSCs (bm-MSCs) predominate among approved MSC-based cell therapy products, but their use in clinical trials relative to other MSC sources has more than halved since their peak [45, 46]. Conversely, the allogenic use of umbilical cord tissue-derived MSCs for cell therapy, as in TACTICAL, is increasing due to various advantages including hypo-immunogenicity [45, 47, 48]. Sourcing of cord donor material is non-invasive, unlike harvesting the bone marrow, while production scale-up for cell therapy is eased by their delayed senescence onset, lack of contact inhibition enabling higher harvest densities, and faster proliferation rate [47, 48].

Aside from the present study on umbilical cord tissue-derived MSCs, 89Zr-oxine labelling and PET imaging have also been demonstrated with T cells, dendritic cells, and bone marrow cells [16, 17, 21, 23]. Together, these studies illustrate the benefits of 89Zr-oxine labelling: fast implementation, non-invasive tracking over a week post-injection, and interpretation of images uncomplicated by the degree of background signal given by the systemically administered tracers used with nuclear reporter-gene systems [49]. Though a modest amount of radiolabel is inevitably lost from cells, the areas that take up free 89Zr, including the liver, spleen, and bone, have been well characterised [28]. While this knowledge reduces ambiguity to some degree during analysis, it would also mask the detection of 89Zr-labelled cells in these tissues, limiting practical usage to tracking delivery to other tissues such as the lung. The inability to determine whether signal comes from labelled cells or from endogenous cells that have taken up leached signal, or labelled debris from dead cells, is a problem common to all direct cell-labelling techniques. This must therefore be considered during interpretation of results, along with several further limitations. Firstly, the amounts of 89Zr required for tracking cells may reduce proliferation, and this effect varies between cell types and time post-labelling. Secondly, though a good correlation between PET signal and viable cell location was shown here using bioluminescence imaging, 89Zr-oxine signal does not directly indicate cell viability or proliferation. Hence, for rapidly and non-uniformly expanding cell populations, genetic labelling strategies may be more appropriate [49, 50].


This study shows that umbilical cord tissue-derived MSCs, and MSCTRAIL derived from these, can be radiolabelled with 89Zr-oxine. Phenotype and therapeutic effects post-labelling were retained, and cells could be tracked in vivo up to 7 days using PET. This supports the feasibility of a first-in-man 89Zr-oxine cell-labelling arm in phase II of the TACTICAL clinical trial with relatively low labelling amounts, where it should lead to a better understanding of this experimental cell therapy, its whole-body biodistribution dynamics, and inter-patient variability.

Availability of data and materials

The data and materials that support the findings of this study are available from the corresponding author upon reasonable request.



Bioluminescence imaging


X-ray computed tomography




Magnetic resonance imaging


MSC expressing TRAIL


Phosphate-buffered saline


Positron emission tomography


Radiochemical yield


Region of interest


Targeted stem cells expressing TRAIL as therapy for lung cancer


tert-Butyl hydroperoxide


TNF-related apoptosis-inducing ligand


Umbilical cord-derived MSC


  1. 1.

    Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. CA Cancer J Clin. 2018;68(1):7–30.

    PubMed  PubMed Central  Google Scholar 

  2. 2.

    Fischbach MA, Bluestone JA, Lim WA. Cell-based therapeutics: the next pillar of medicine. Sci Transl Med. 2013;5(179):179ps7.

    PubMed  PubMed Central  Google Scholar 

  3. 3.

    Bulte JWM, Daldrup-Link HE. Clinical tracking of cell transfer and cell transplantation: trials and tribulations. Radiology. 2018;289(3):604–15.

    PubMed  PubMed Central  Google Scholar 

  4. 4.

    Wang J, Jokerst JV. Stem cell imaging: tools to improve cell delivery and viability. Stem Cells Int. 2016;2016:9240652.

    PubMed  PubMed Central  Google Scholar 

  5. 5.

    Scarfe L, Brillant N, Kumar JD, Ali N, Alrumayh A, Amali M, et al. Preclinical imaging methods for assessing the safety and efficacy of regenerative medicine therapies. NPJ Regen Med. 2017;2:28.

    PubMed  PubMed Central  Google Scholar 

  6. 6.

    Thakrar RM, Sage EK, Janes SM. Combined cell-gene therapy for lung cancer: rationale, challenges and prospects. Expert Opin Biol Ther. 2016;16(7):853–7.

    PubMed  Google Scholar 

  7. 7.

    Sage EK, Thakrar RM, Janes SM. Genetically modified mesenchymal stromal cells in cancer therapy. Cytotherapy. 2016;18(11):1435–45.

    PubMed  PubMed Central  Google Scholar 

  8. 8.

    Kolluri KK, Laurent GJ, Janes SM. Mesenchymal stem cells as vectors for lung cancer therapy. Respiration. 2013;85(6):443–51.

    CAS  PubMed  PubMed Central  Google Scholar 

  9. 9.

    Pasello G, Urso L, Silic-Benussi M, Schiavon M, Cavallari I, Marulli G, et al. Synergistic antitumor activity of recombinant human Apo2L/tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) in combination with carboplatin and pemetrexed in malignant pleural mesothelioma. J Thorac Oncol. 2014;9(7):1008–17.

    CAS  PubMed  Google Scholar 

  10. 10.

    Cuello M, Ettenberg SA, Nau MM, Lipkowitz S. Synergistic induction of apoptosis by the combination of TRAIL and chemotherapy in chemoresistant ovarian cancer cells. Gynecol Oncol. 2001;81(3):380–90.

    CAS  PubMed  Google Scholar 

  11. 11.

    Lourenco S, Teixeira VH, Kalber T, Jose RJ, Floto RA, Janes SM. Macrophage migration inhibitory factor-CXCR4 is the dominant chemotactic axis in human mesenchymal stem cell recruitment to tumors. J Immunol. 2015;194(7):3463–74.

    CAS  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Loebinger MR, Kyrtatos PG, Turmaine M, Price AN, Pankhurst Q, Lythgoe MF, et al. Magnetic resonance imaging of mesenchymal stem cells homing to pulmonary metastases using biocompatible magnetic nanoparticles. Cancer Res. 2009;69(23):8862–7.

    CAS  PubMed  PubMed Central  Google Scholar 

  13. 13.

    Kidd S, Spaeth E, Dembinski JL, Dietrich M, Watson K, Klopp A, et al. Direct evidence of mesenchymal stem cell tropism for tumor and wounding microenvironments using in vivo bioluminescent imaging. Stem Cells. 2009;27(10):2614–23.

    CAS  PubMed  PubMed Central  Google Scholar 

  14. 14.

    Leibacher J, Henschler R. Biodistribution, migration and homing of systemically applied mesenchymal stem/stromal cells. Stem Cell Res Ther. 2016;7:7.

    PubMed  PubMed Central  Google Scholar 

  15. 15.

    Ferris TJ, Charoenphun P, Meszaros LK, Mullen GE, Blower PJ, Went MJ. Synthesis and characterisation of zirconium complexes for cell tracking with Zr-89 by positron emission tomography. Dalton Trans. 2014;43(39):14851–7.

    CAS  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Charoenphun P, Meszaros LK, Chuamsaamarkkee K, Sharif-Paghaleh E, Ballinger JR, Ferris TJ, et al. [(89) Zr]oxinate4 for long-term in vivo cell tracking by positron emission tomography. Eur J Nucl Med Mol Imaging. 2015;42(2):278–87.

    CAS  PubMed  Google Scholar 

  17. 17.

    Sato N, Wu H, Asiedu KO, Szajek LP, Griffiths GL, Choyke PL. (89) Zr-Oxine complex PET cell imaging in monitoring cell-based therapies. Radiology. 2015;275(2):490–500.

    PubMed  PubMed Central  Google Scholar 

  18. 18.

    Rahmim A, Zaidi H. PET versus SPECT: strengths, limitations and challenges. Nucl Med Commun. 2008;29(3):193–207.

    PubMed  Google Scholar 

  19. 19.

    Cherry SR, Jones T, Karp JS, Qi J, Moses WW, Badawi RD. Total-Body PET: Maximizing sensitivity to create new opportunities for clinical research and patient care. J Nucl Med. 2018;59(1):3–12.

    CAS  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Weist MR, Starr R, Aguilar B, Chea J, Miles JK, Poku E, et al. PET of adoptively transferred chimeric antigen receptor T cells with (89) Zr-Oxine. J Nucl Med. 2018;59(10):1531–7.

    CAS  PubMed  PubMed Central  Google Scholar 

  21. 21.

    Man F, Lim L, Volpe A, Gabizon A, Shmeeda H, Draper B, et al. In vivo PET tracking of (89) Zr-labeled Vgamma9Vdelta2 T cells to mouse Xenograft breast tumors activated with liposomal alendronate. Mol Ther. 2019;27(1):219–29.

    CAS  PubMed  Google Scholar 

  22. 22.

    Asiedu KO, Ferdousi M, Ton PT, Adler SS, Choyke PL, Sato N. Bone marrow cell homing to sites of acute tibial fracture: (89) Zr-oxine cell labeling with positron emission tomographic imaging in a mouse model. EJNMMI Res. 2018;8(1):109.

    PubMed  PubMed Central  Google Scholar 

  23. 23.

    Asiedu KO, Koyasu S, Szajek LP, Choyke PL, Sato N. Bone marrow cell trafficking analyzed by (89) Zr-oxine positron emission tomography in a murine transplantation model. Clin Cancer Res. 2017;23(11):2759–68.

    CAS  PubMed  Google Scholar 

  24. 24.

    Yuan Z, Kolluri KK, Sage EK, Gowers KH, Janes SM. Mesenchymal stromal cell delivery of full-length tumor necrosis factor-related apoptosis-inducing ligand is superior to soluble type for cancer therapy. Cytotherapy. 2015;17(7):885–96.

    CAS  PubMed  PubMed Central  Google Scholar 

  25. 25.

    Yuan Z, Lourenco Sda S, Sage EK, Kolluri KK, Lowdell MW, Janes SM. Cryopreservation of human mesenchymal stromal cells expressing TRAIL for human anti-cancer therapy. Cytotherapy. 2016;18(7):860–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  26. 26.

    Dominici M, Le Blanc K, Mueller I, Slaper-Cortenbach I, Marini F, Krause D, et al. Minimal criteria for defining multipotent mesenchymal stromal cells. The International Society for Cellular Therapy position statement. Cytotherapy. 2006;8(4):315–7.

    CAS  PubMed  PubMed Central  Google Scholar 

  27. 27.

    Eggenhofer E, Benseler V, Kroemer A, Popp FC, Geissler EK, Schlitt HJ, et al. Mesenchymal stem cells are short-lived and do not migrate beyond the lungs after intravenous infusion. Front Immunol. 2012;3:297.

    CAS  PubMed  PubMed Central  Google Scholar 

  28. 28.

    Abou DS, Ku T, Smith-Jones PM. In vivo biodistribution and accumulation of 89Zr in mice. Nucl Med Biol. 2011;38(5):675–81.

    CAS  PubMed  PubMed Central  Google Scholar 

  29. 29.

    Stabin MG, Sparks RB, Crowe E. OLINDA/EXM: the second-generation personal computer software for internal dose assessment in nuclear medicine. J Nucl Med. 2005;46(6):1023–7.

    PubMed  Google Scholar 

  30. 30.

    Stabin MG. Fundamentals of nuclear medicine dosimetry. New York: Springer; 2008.

  31. 31.

    Hofmann M, Wollert KC, Meyer GP, Menke A, Arseniev L, Hertenstein B, et al. Monitoring of bone marrow cell homing into the infarcted human myocardium. Circulation. 2005;111(17):2198–202.

    PubMed  Google Scholar 

  32. 32.

    Uribe-Herranz M, Bittinger K, Rafail S, Guedan S, Pierini S, Tanes C, et al. Gut microbiota modulates adoptive cell therapy via CD8alpha dendritic cells and IL-12. JCI Insight. 2018;3(4):e94952.

  33. 33.

    Dimmeler S, Leri A. Aging and disease as modifiers of efficacy of cell therapy. Circ Res. 2008;102(11):1319–30.

    CAS  PubMed  PubMed Central  Google Scholar 

  34. 34.

    Marks PW, Witten CM, Califf RM. Clarifying stem-cell therapy’s benefits and risks. N Engl J Med. 2017;376(11):1007–9.

    PubMed  Google Scholar 

  35. 35.

    Li SH, Lai TY, Sun Z, Han M, Moriyama E, Wilson B, et al. Tracking cardiac engraftment and distribution of implanted bone marrow cells: comparing intra-aortic, intravenous, and intramyocardial delivery. J Thorac Cardiovasc Surg. 2009;137(5):1225–33 e1.

    PubMed  Google Scholar 

  36. 36.

    Scarfe L, Taylor A, Sharkey J, Harwood R, Barrow M, Comenge J, et al. Non-invasive imaging reveals conditions that impact distribution and persistence of cells after in vivo administration. Stem Cell Res Ther. 2018;9(1):332.

    CAS  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Kraitchman DL, Tatsumi M, Gilson WD, Ishimori T, Kedziorek D, Walczak P, et al. Dynamic imaging of allogeneic mesenchymal stem cells trafficking to myocardial infarction. Circulation. 2005;112(10):1451–61.

    PubMed  PubMed Central  Google Scholar 

  38. 38.

    Chin BB, Nakamoto Y, Bulte JW, Pittenger MF, Wahl R, Kraitchman DL. 111In oxine labelled mesenchymal stem cell SPECT after intravenous administration in myocardial infarction. Nucl Med Commun. 2003;24(11):1149–54.

    CAS  PubMed  Google Scholar 

  39. 39.

    Gholamrezanezhad A, Mirpour S, Bagheri M, Mohamadnejad M, Alimoghaddam K, Abdolahzadeh L, et al. In vivo tracking of 111In-oxine labeled mesenchymal stem cells following infusion in patients with advanced cirrhosis. Nucl Med Biol. 2011;38(7):961–7.

    CAS  PubMed  PubMed Central  Google Scholar 

  40. 40.

    Dijkers EC, Oude Munnink TH, Kosterink JG, Brouwers AH, Jager PL, de Jong JR, et al. Biodistribution of 89Zr-trastuzumab and PET imaging of HER2-positive lesions in patients with metastatic breast cancer. Clin Pharmacol Ther. 2010;87(5):586–92.

    CAS  PubMed  Google Scholar 

  41. 41.

    Gaykema SB, Brouwers AH, Lub-de Hooge MN, Pleijhuis RG, Timmer-Bosscha H, Pot L, et al. 89Zr-bevacizumab PET imaging in primary breast cancer. J Nucl Med. 2013;54(7):1014–8.

    CAS  Google Scholar 

  42. 42.

    Borjesson PK, Jauw YW, Boellaard R, de Bree R, Comans EF, Roos JC, et al. Performance of immuno-positron emission tomography with zirconium-89-labeled chimeric monoclonal antibody U36 in the detection of lymph node metastases in head and neck cancer patients. Clin Cancer Res. 2006;12(7 Pt 1):2133–40.

    PubMed  Google Scholar 

  43. 43.

    Rizvi SNF, Visser OJ, Vosjan M, van Lingen A, Hoekstra OS, Zijlstra JM, et al. Biodistribution, radiation dosimetry and scouting of (90) Y-ibritumomab tiuxetan therapy in patients with relapsed B-cell non-Hodgkin’s lymphoma using (89) Zr-ibritumomab tiuxetan and PET. Eur J Nucl Med Mol Imaging. 2012;39(3):512–20.

    CAS  PubMed  PubMed Central  Google Scholar 

  44. 44.

    Eich T, Eriksson O, Lundgren T. Visualization of early engraftment in clinical islet transplantation by positron-emission tomography. New Engl J Med. 2007;356(26):2754–5.

    CAS  PubMed  Google Scholar 

  45. 45.

    Mendicino M, Bailey AM, Wonnacott K, Puri RK, Bauer SR. MSC-based product characterization for clinical trials: an FDA perspective. Cell Stem Cell. 2014;14(2):141–5.

    CAS  PubMed  Google Scholar 

  46. 46.

    Heathman TR, Nienow AW, McCall MJ, Coopman K, Kara B, Hewitt CJ. The translation of cell-based therapies: clinical landscape and manufacturing challenges. Regen Med. 2015;10(1):49–64.

    CAS  PubMed  Google Scholar 

  47. 47.

    Fan CG, Zhang QJ, Zhou JR. Therapeutic potentials of mesenchymal stem cells derived from human umbilical cord. Stem Cell Rev. 2011;7(1):195–207.

    Google Scholar 

  48. 48.

    Nagamura-Inoue T, He H. Umbilical cord-derived mesenchymal stem cells: their advantages and potential clinical utility. World J Stem Cells. 2014;6(2):195–202.

    PubMed  PubMed Central  Google Scholar 

  49. 49.

    Moroz MA, Zhang H, Lee J, Moroz E, Zurita J, Shenker L, et al. Comparative analysis of T cell imaging with human nuclear reporter genes. J Nucl Med. 2015;56(7):1055–60.

    CAS  PubMed  PubMed Central  Google Scholar 

  50. 50.

    Patrick PS, Hammersley J, Loizou L, Kettunen MI, Rodrigues TB, Hu DE, et al. Dual-modality gene reporter for in vivo imaging. Proc Natl Acad Sci U S A. 2014;111(1):415–20.

    CAS  PubMed  Google Scholar 

Download references


We would like to thank Dr. TH Witney for the provision of Western blot reagents and equipment.


P. S. P. acknowledges funding from the UK Regenerative Medicine Platform (MRC: MR/K026739/1), MRC grant MR/R026416/1, and EPSRC grant EP/R511638/1. T. L. K. is funded by an EPSRC Early Career Fellowship (EP/L006472/1). The TACTICAL trial is supported by MRC DPFS scheme grant MR/M015831/1. SMJ is a Welcome Trust Senior Fellow in Clinical Science (grant WT107963AIA) and is supported by the Rosetrees Trust, the Welton Foundation, the Roy Castle Lung Cancer Foundation, and University College London Hospital (UCLH) Charitable foundation.

Author information




PSP: conception and design, collection and/or assembly of data, data analysis and interpretation, manuscript writing, and final approval of the manuscript. KKK: collection and/or assembly of data, data analysis and interpretation, manuscript writing, and final approval of the manuscript. MZT: collection and/or assembly of data and final approval of the manuscript. AE: collection and/or assembly of data and final approval of the manuscript. EKS: conception and design, administrative support, and final approval of the manuscript. TS: data analysis and interpretation, manuscript writing, and final approval of the manuscript. BDW: provision of the study material and final approval of the manuscript. JCD: administrative support and final approval of the manuscript. MFL: financial support, administrative support, and final approval of the manuscript. ML: financial support, administrative support, and final approval of the manuscript. SMJ: conception and design, financial support, administrative support, and final approval of the manuscript. TLK: conception and design, financial support, administrative support, and final approval of the manuscript.

Corresponding authors

Correspondence to P. Stephen Patrick or Tammy L. Kalber.

Ethics declarations

Ethics approval and consent to participate

All applicable international, national, and/or institutional guidelines for the care and use of animals were followed. This article does not contain any studies with human participants performed by any of the authors. The authors have no conflicts of interest to declare.

Consent for publication

Not applicable

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Patrick, P.S., Kolluri, K.K., Zaw Thin, M. et al. Lung delivery of MSCs expressing anti-cancer protein TRAIL visualised with 89Zr-oxine PET-CT. Stem Cell Res Ther 11, 256 (2020).

Download citation


  • PET-CT
  • Cell tracking
  • 89Zr-oxine
  • Cord-derived MSCs
  • Cell therapy
  • Lung cancer