Thrombopoietin-based CAR-T cells demonstrate in vitro and in vivo cytotoxicity to MPL positive acute myelogenous leukemia and hematopoietic stem cells.
Jaquelyn T ZoineChengyu PrinceJamie Y StoryGianna M BranellaAllison M LytleAndrew FedanovJordan S AlexanderChristopher C PorterChristopher B DoeringH Trent SpencerShanmuganathan ChandrakasanPublished in: Gene therapy (2021)
While targeting CD19+ hematologic malignancies with CAR T cell therapy using single chain variable fragments (scFv) has been highly successful, novel strategies for applying CAR T cell therapy with other tumor types are necessary. In the current study, CAR T cells were designed using a ligand binding domain instead of an scFv to target stem-like leukemia cells. Thrombopoietin (TPO), the natural ligand to the myeloproliferative leukemia protein (MPL) receptor, was used as the antigen binding domain to engage MPL expressed on hematopoietic stem cells (HSC) and erythropoietic and megakaryocytic acute myeloid leukemias (AML). TPO-CAR T cells were tested in vitro against AML cell lines with varied MPL expression to test specificity. TPO-CAR T cells were specifically activating and cytotoxic against MPL+ leukemia cell lines. Though the TPO-CAR T cells did not extend survival in vivo, it successfully cleared the MPL+ fraction of leukemia cells. As expected, we also show the TPO-CAR is cytotoxic against MPL expressing bone marrow compartment in AML xenograft models. The data collected demonstrate preclinical potential of TPO-CAR T cells for stem-like leukemia through assessment of targeted killing of MPL+ cells and may facilitate subsequent HSC transplant under reduced intensity conditioning regimens.
Keyphrases
- bone marrow
- cell therapy
- acute myeloid leukemia
- stem cells
- mesenchymal stem cells
- induced apoptosis
- cell cycle arrest
- allogeneic hematopoietic stem cell transplantation
- climate change
- immune response
- oxidative stress
- signaling pathway
- drug delivery
- long non coding rna
- high intensity
- endoplasmic reticulum stress
- intensive care unit
- machine learning
- small molecule
- artificial intelligence
- drug induced
- dendritic cells
- electronic health record
- transcription factor