89Zr-oxine labelling and PET imaging shows lung delivery of a cell/gene cancer therapy
Patrick, P. S.; Kolluri, K. K.; Zaw Thin, M.; Edwards, A.; Sage, E. K.; Sanderson, T.; Weil, B. D.; Dickson, J. C.; Lythgoe, M. F.; Lowdell, M.; Janes, S. M.; Kalber, T. L.
Show abstract
PurposeMSCTRAIL is a new stem cell-based therapy for lung cancer, currently in phase I evaluation (ClinicalTrials.gov ref: NCT03298763). Biodistribution of cell therapies is rarely assessed in clinical trials, despite cell delivery to the target site often being critical to presumed mechanism of action. This preclinical study demonstrates that MSCTRAIL biodistribution dynamics can be detected non-invasively using 89Zr-oxine labelling and PET imaging, thus supporting use of this cell tracking technology in phase II evaluation.\n\nMethodsMSCTRAIL were radiolabelled with a range of 89Zr-oxine doses, and assayed for cell viability, phenotype and therapeutic efficacy post-labelling. Cell biodistribution was imaged in a mouse model of lung cancer using PET imaging and bioluminescence imaging (BLI) to confirm cell viability and location in vivo up to 1 week post-injection.\n\nResultsMSCTRAIL retained therapeutic efficacy and MSC phenotype at doses up to and above those required for clinical imaging. The effect of 89Zr-oxine labelling on cell proliferation rate was dose and time-dependent. PET imaging showed delivery of MSCTRAIL to the lungs in a mouse model of lung cancer, with PET signal correlating with the presence of viable cells as assessed by bioluminescence imaging, ex vivo autoradiography and matched fluorescence imaging on lung tissue sections. Human dosimetry estimates were produced using simulations and preclinical biodistribution data.\n\nConclusion89Zr-oxine labelling and PET imaging present an attractive method of evaluating the biodistribution of new cell-therapies, such as MSCTRAIL. This offers to improve understanding of mechanism of action, migration dynamics and interpatient variability of MSCTRAIL and other cell-based therapies.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Peptide receptor radionuclide therapy targeting the cholecystokinin-2 receptor: Preclinical and first clinical experience in small cell lung cancer 91%
- Mesoscopic Fluorescence Imaging of Light-Triggered Chemotherapeutic Release in Cancer Spheroid Models 89%
- In vivo validation of spray-dried mesoporous bioactive glass microspheres acting as prolonged local release systems for BMP-2 to induce bone regeneration 87%
Similar papers in this journal
- Priming versus propagating: distinct immune effects of an alpha- versus beta-particle emitting radiopharmaceutical when combined with immune checkpoint inhibition 94%
- High-resolution positron emission microscopy of patient-derived tumor organoids 92%
- Chronic circadian disruption modulates breast cancer cell stemness and their immune microenvironment to drive metastasis in mice 91%
Similar papers in this journal
- ME3BP-7 is a targeted cytotoxic agent that rapidly kills pancreatic cancer cells expressing high levels of monocarboxylate transporter MCT1 91%
- Lipid Droplets and Ferritin Heavy Chain: a Devilish Liaison in Cancer Radioresistance 91%
- Engineered natural killer cells impede the immunometabolic CD73-adenosine axis in solid tumors 90%
Similar papers in this journal
- Feasibility of real-time in vivo 89Zr-DFO-labeled CAR T-cell trafficking using PET imaging 94%
- Injectable diblock copolypeptide hydrogel provides platform to maintain high local concentrations of taxol and local tumor control 92%
- A live cell biosensor protocol for high-resolution screening of therapy-resistant cancer cells 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.