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Cited by 1,472

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Engineering strategies to overcome the current roadblocks in CAR T cell therapy

Open access
Rafiq, Sarwish, Hackett, Christopher S., Brentjens, Renier J.·2020·Nature Reviews Clinical Oncology

Abstract

T cells genetically engineered to express chimeric antigen receptors (CARs) have proven — and impressive — therapeutic activity in patients with certain subtypes of B cell leukaemia or lymphoma, with promising efficacy also demonstrated in patients with multiple myeloma. Nevertheless, various barriers restrict the efficacy and/or prevent the widespread use of CAR T cell therapies in these patients as well as in those with other cancers, particularly solid tumours. Key challenges relating to CAR T cells include severe toxicities, restricted trafficking to, infiltration into and activation within tumours, suboptimal persistence in vivo, antigen escape and heterogeneity, and manufacturing issues. The evolution of CAR designs beyond the conventional structures will be necessary to address these limitations and to expand the use of CAR T cells to a wider range of malignancies. Investigators are addressing the current obstacles with a wide range of engineering strategies in order to improve the safety, efficacy and applicability of this therapeutic modality. In this Review, we discuss the innovative designs of novel CAR T cell products that are being developed to increase and expand the clinical benefits of these treatments in patients with diverse cancers. Chimeric antigen receptor (CAR) T cell therapy, the first approved therapeutic approach with a genetic engineering component, holds substantial promise in the treatment of a range of cancers but is nevertheless limited by various challenges, including toxicities, intrinsic and acquired resistance mechanisms, and manufacturing issues. In this Review, the authors describe the innovative approaches to the engineering of CAR T cell products that are providing solutions to these challenges and therefore have the potential to considerably improve the safety and effectiveness of treatment. Chimeric antigen receptor (CAR) T cells have induced remarkable responses in patients with certain haematological malignancies, yet various barriers restrict the efficacy and/or prevent the widespread use of this treatment. Investigators are addressing these challenges with engineering strategies designed to improve the safety, efficacy and applicability of CAR T cell therapy. CARs have modular components, and therefore the optimal molecular design of the CAR can be achieved through many variations of the constituent protein domains. Toxicities currently associated with CAR T cell therapy can be mitigated using engineering strategies to make CAR T cells safer and that potentially broaden the range of tumour-associated antigens that can be targeted by overcoming on-target, off-tumour toxicities. CAR T cell efficacy can be enhanced by using engineering strategies to address the various challenges relating to the unique biology of diverse haematological and solid malignancies. Strategies to address the manufacturing challenges can lead to an improved CAR T cell product for all patients.

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Metadata

Authors
Rafiq, S., Hackett, C. S., & Brentjens, R. J.
Venue
Nature Reviews Clinical Oncology
Published
2019-12-17
Volume
17
Issue
3
Pages
147-167
ISSN
  • 1759-4774 (ISSN-L)
  • 1759-4782
OpenAlex
W2995900562
Cited by
1,472
References
28
FWCI
15.67
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Engineering strategies to overcome the current roadblocks in CAR T cell therapy. https://app.cochat.ai/papers/10.1038/s41571-019-0297-y
The paper
Rafiq, S., Hackett, C. S., & Brentjens, R. J. (2020). Engineering strategies to overcome the current roadblocks in CAR T cell therapy. Nature Reviews Clinical Oncology. https://doi.org/10.1038/s41571-019-0297-y

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.