BiomaterialsBioengineeringPeer-reviewed journal article
Synthetic peptide hydrogels as a model of the bone marrow niche demonstrate efficacy of a combined CRISPR-CAR T-cell therapy for acute myeloid leukaemia
W. Sebastian Doherty-BoydiD, Penelope M. TsimbouriiD, Vineetha JayawarnaiD, Matthew WalkeriD, Aqeel F. Taqi, Niall Mahon, R.M. Dominic MeekiD, Peter S. YoungiD, Aline F. Miller, Adam G. WestiD, Manuel Salmerón‐SáncheziD, Matthew John DalbyiD, Hannah DonnellyiD
Abstract
Leukaemias, driven by mutations in hematopoietic stem cells (HSCs), rely on interactions with the bone marrow (BM) niche and other cell populations such as mesenchymal stromal cells (MSCs) for growth and survival. While chimeric antigen receptor (CAR) T-cell therapy shows promise for other hematological malignancies, its application to acute myeloid leukaemia (AML) is hindered by tumour heterogeneity and off-target toxicity. Combining CRISPR-Cas9 gene editing with CAR T-cell therapy has potential for selectively targeting AML cells while sparing healthy tissue. However, validating the efficacy of these treatments prior to clinical trial is hampered by the differences between humans and animal models typically used for pre-clinical testing. Furthermore, traditional in vitro models fail to replicate the complexity of the BM niche and often overestimate treatments efficacy. Here, we present a bioengineered human-cell containing BM niche model combining a fibronectin-presenting polymeric surface and a synthetic peptide hydrogel (PeptiGel) that mimics native BM tissues mechanical properties. This platform supports niche phenotypes in MSCs and HSCs and enables the evaluation of combined CRISPR-CAR T-cell therapy, demonstrating potential as a preclinical human model for testing novel therapies.
- organism: human
- research focus: drug response / drug discovery
- research focus: cell type annotation
- research focus: cell signaling & trafficking
- research focus: cancer & tumor microenvironment
- approach: experimental assay
- approach: biophysical modeling
- Citations
- 3
- FWCI
- 1.24
- Field percentile
- top 18%
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