The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
TCR-engineered T cell therapy in solid tumors: State of the art and perspectives
Open accessAbstract
T cell engineering has changed the landscape of cancer immunotherapy. Chimeric antigen receptor T cells have demonstrated a remarkable efficacy in the treatment of B cell malignancies in hematology. However, their clinical impact on solid tumors has been modest so far. T cells expressing an engineered T cell receptor (TCR-T cells) represent a promising therapeutic alternative. The target repertoire is not limited to membrane proteins, and intrinsic features of TCRs such as high antigen sensitivity and near-to-physiological signaling may improve tumor cell detection and killing while improving T cell persistence. In this review, we present the clinical results obtained with TCR-T cells targeting different tumor antigen families. We detail the different methods that have been developed to identify and optimize a TCR candidate. We also discuss the challenges of TCR-T cell therapies, including toxicity assessment and resistance mechanisms. Last, we share some perspectives and highlight future directions in the field.
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Cites
A human memory T cell subset with stem cell–like properties
Gattinoni, L., Lugli, E., Ji, Y., Pos, Z., Paulos, C. M., Quigley, M. F., Almeida, J. R., Gostick, E., Yu, Z., Carpenito, C., et al. (2011) · Nature Medicine · doi:10.1038/nm.2446 · Cited by 1,974
Targeting a CAR to the TRAC locus with CRISPR/Cas9 enhances tumour rejection
Eyquem, J., Mansilla-Soto, J., Giavridis, T., van der Stegen, S. J. C., Hamieh, M., Cunanan, K. M., Odak, A., Gönen, M., & Sadelain, M. (2017) · Nature · doi:10.1038/nature21405 · Cited by 1,831
CRISPR-engineered T cells in patients with refractory cancer
Stadtmauer, E. A., Fraietta, J. A., Davis, M. M., Cohen, A. D., Weber, K. L., Lancaster, E., Mangan, P. A., Kulikovskaya, I., Gupta, M., Chen, F., et al. (2020) · Science · doi:10.1126/science.aba7365 · Cited by 1,478
T-Cell Transfer Therapy Targeting Mutant KRAS in Cancer
Tran, E., Robbins, P. F., Lu, Y.-C., Prickett, T. D., Gartner, J. J., Jia, L., Pasetto, A., Zheng, Z., Ray, S., Groh, E. M., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1609279 · Cited by 1,368
Identifying specificity groups in the T cell receptor repertoire
Glanville, J., Huang, H., Nau, A., Hatton, O., Wagar, L. E., Rubelt, F., Ji, X., Han, A., Krams, S. M., Pettus, C., et al. (2017) · Nature · doi:10.1038/nature22976 · Cited by 1,026
Overall Survival Benefit with Tebentafusp in Metastatic Uveal Melanoma
Nathan, P., Hassel, J. C., Rutkowski, P., Baurain, J.-F., Butler, M. O., Schlaak, M., Sullivan, R. J., Ochsenreither, S., Dummer, R., Kirkwood, J. M., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2103485 · Cited by 924
High-throughput determination of the antigen specificities of T cell receptors in single cells
Zhang, S.-Q., Ma, K.-Y., Schonnesen, A. A., Zhang, M., He, C., Sun, E., Williams, C. M., Jia, W., & Jiang, N. (2018) · Nature Biotechnology · doi:10.1038/nbt.4282 · Cited by 200
High-throughput determination of the antigen specificities of T cell receptors in single cells
Zhang, S.-Q., Ma, K.-Y., Schonnesen, A. A., Zhang, M., He, C., Sun, E., Williams, C. M., Jia, W., & Jiang, N. (2018) · doi:10.1101/457069 · Cited by 199
CAR T-cell therapy in hematologic malignancies: a voyage in progress.
Holstein, S. A., & Lunning, M. A. (2020) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.1674 · Cited by 172
Breaking Bottlenecks for the TCR Therapy of Cancer
Gaissmaier, L., Elshiaty, M., & Christopoulos, P. (2020) · Cells · doi:10.3390/cells9092095 · Cited by 52
Cited by
Exploring treatment options in cancer: tumor treatment strategies
Liu, B., Zhou, H., Tan, L., Siu, K. T. H., & Guan, X.-Y. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01856-7 · Cited by 1,201
TCR catch bonds nonlinearly control CD8 cooperation to shape T cell specificity
Qin, R., Zhang, Y., Shi, J., Wu, P., An, C., Li, Z., Liu, N., Wan, Z., Hua, T., Li, X., et al. (2025) · Cell Research · doi:10.1038/s41422-025-01077-9 · Cited by 35
Metadata
- Authors
- Baulu, E., Gardet, C., Chuvin, N., & Depil, S.
- Venue
- Science Advances
- Published
- 2023-02-17
- Volume
- 9
- Issue
- 7
- Pages
- eadf3700-eadf3700
- ISSN
- 2375-2548 (ISSN-L)
- OpenAlex
- W4320896665
- Cited by
- 429
- References
- 10
- FWCI
- 44.41
- Type
- journal article
- Language
- en
- Open access
- gold
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- Baulu, E., Gardet, C., Chuvin, N., & Depil, S. (2023). TCR-engineered T cell therapy in solid tumors: State of the art and perspectives. Science Advances. https://doi.org/10.1126/sciadv.adf3700
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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