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

Leukaemias, driven by mutations in haematopoietic 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 haematological 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 endosteal BM niche model combining a fibronectin-presenting polymeric surface and a synthetic peptide hydrogel (PeptiGel) that mimics native BM tissue's 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.

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Publication Details

Journal
Biomaterials
Published
2025-10-26
DOI
https://doi.org/10.1016/j.biomaterials.2025.123803
Citations
2
Primary Topic
CAR-T cell therapy research
Type
article
Field-Weighted Citation Impact
2.09

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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

Matthew J. Dalby, Manuel Salmerón‐Sánchez, Matthew Walker, Aqeel Faisal Taqi et al.
2 citations
Biomaterials
CAR-T cell therapy research
2.09
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

Matthew J. Dalby, Manuel Salmerón‐Sánchez, Matthew Walker, Aqeel Faisal Taqi, Penelope M. Tsimbouri, Peter S. Young, Hannah Donnelly, Vineetha Jayawarna, Adam G. West, W. Sebastian Doherty-Boyd, R.M. Dominic Meek, Aline F. Miller, Niall Mahon
article en
2 citations

Abstract

Leukaemias, driven by mutations in haematopoietic 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 haematological 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 endosteal BM niche model combining a fibronectin-presenting polymeric surface and a synthetic peptide hydrogel (PeptiGel) that mimics native BM tissue's 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.

BiomaterialsVol. 328
University of Manchester (GB), Institute for Bioengineering of Catalonia (ES), Dasman Diabetes Institute (KW), University of Glasgow (GB)
Engineering and Physical Sciences Research Council, Biotechnology and Biological Sciences Research Council
Openalex Percentile: Top 10%
CAR-T cell therapy research
2.09
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