The DOI matches its Crossref record; 144 of the 144 references it cites were found in a registry or an index.
Teaching an old dog new tricks: next-generation CAR T cells
Open accessAbstract
Adoptive T cell therapy (ACT) refers to the therapeutic use of T cells. T cells genetically engineered to express chimeric antigen receptors (CAR) constitute the most clinically advanced form of ACT approved to date for the treatment of CD19-positive leukaemias and lymphomas. CARs are synthetic receptors that are able to confer antigen-binding and activating functions on T cells with the aim of therapeutically targeting cancer cells. Several factors are essential for CAR T cell therapy to be effective, such as recruitment, activation, expansion and persistence of bioengineered T cells at the tumour site. Despite the advances made in CAR T cell therapy, however, most tumour entities still escape immune detection and elimination. A number of strategies counteracting these problems will need to be addressed in order to render T cell therapy effective in more situations than currently possible. Non-haematological tumours are also the subject of active investigation, but ACT has so far shown only marginal success rates in these cases. New approaches are needed to enhance the ability of ACT to target solid tumours without increasing toxicity, by improving recognition, infiltration, and persistence within tumours, as well as an enhanced resistance to the suppressive tumour microenvironment.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Adverse Renal Effects of Immune Checkpoint Inhibitors: A Narrative Review
Wanchoo, R., Karam, S., Uppal, N. N., Barta, V. S., Deray, G., Devoe, C., Launay-Vacher, V., Jhaveri, K. D., & on behalf of Cancer and Kidney International Network Workgroup on Immune Checkpoint Inhibitors (2017) · American Journal of Nephrology · doi:10.1159/000455014 · Cited by 15,256
Nivolumab versus Docetaxel in Advanced Squamous-Cell Non–Small-Cell Lung Cancer
Brahmer, J., Reckamp, K. L., Baas, P., Crinò, L., Eberhardt, W. E. E., Poddubskaya, E., Antonia, S., Pluzanski, A., Vokes, E. E., Holgado, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1504627 · Cited by 8,447
Combined Nivolumab and Ipilimumab or Monotherapy in Untreated Melanoma
Larkin, J., Chiarion-Sileni, V., Gonzalez, R., Grob, J. J., Cowey, C. L., Lao, C. D., Schadendorf, D., Dummer, R., Smylie, M., Rutkowski, P., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1504030 · Cited by 8,157
Axicabtagene Ciloleucel CAR T-Cell Therapy in Refractory Large B-Cell Lymphoma
Neelapu, S. S., Locke, F. L., Bartlett, N. L., Lekakis, L. J., Miklos, D. B., Jacobson, C. A., Braunschweig, I., Oluwole, O. O., Siddiqi, T., Lin, Y., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1707447 · Cited by 6,030
Nivolumab versus Everolimus in Advanced Renal-Cell Carcinoma
Motzer, R. J., Escudier, B., McDermott, D. F., George, S., Hammers, H. J., Srinivas, S., Tykodi, S. S., Sosman, J. A., Procopio, G., Plimack, E. R., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1510665 · Cited by 5,807
Tisagenlecleucel in children and young adults with B-cell lymphoblastic leukemia
Maude, S. L., Laetsch, T. W., Buechner, J., Rives, S., Boyer, M., Bittencourt, H., Bader, P., Verneris, M. R., Stefanski, H. E., Myers, G. D., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1709866 · Cited by 5,735
Interleukin-12 and the regulation of innate resistance and adaptive immunity
Trinchieri, G. (2003) · Nature Reviews Immunology · doi:10.1038/nri1001 · Cited by 3,927
Massagué, J. (2008) · Cell · doi:10.1016/j.cell.2008.07.001 · Cited by 3,907
Cancer regression in patients after transfer of genetically engineered lymphocytes
Morgan, R. A., Dudley, M. E., Wunderlich, J. R., Hughes, M. S., Yang, J. C., Sherry, R. M., Royal, R. E., Topalian, S. L., Kammula, U. S., Restifo, N. P., et al. (2006) · Science · doi:10.1126/science.1129003 · Cited by 2,603
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
Killing Mechanisms of Chimeric Antigen Receptor (CAR) T Cells
Benmebarek, M.-R., Karches, C. H., Cadilha, B. L., Lesch, S., Endres, S., & Kobold, S. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20061283 · Cited by 531
Self-citationCAR-T cell therapy for cancer: current challenges and future directions
Zugasti, I., Espinosa-Aroca, L., Fidyt, K., Mulens-Arias, V., Diaz-Beya, M., Juan, M., Urbano-Ispizua, Á., Esteve, J., Velasco-Hernandez, T., & Menéndez, P. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02269-w · Cited by 281
CAR-T cell performance: How to improve their persistence?
López-Cantillo, G., Urueña, C., Camacho, B. A., & Ramírez-Segura, C. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.878209 · Cited by 207
Wang, L. L., Janes, M. E., Kumbhojkar, N., Kapate, N., Clegg, J. R., Prakash, S., Heavey, M. K., Zhao, Z., Anselmo, A. C., & Mitragotri, S. (2021) · Bioengineering & Translational Medicine · doi:10.1002/btm2.10214 · Cited by 162
Metadata
- Authors
- Tokarew, N., Ogonek, J., Endres, S., von Bergwelt-Baildon, M., & Kobold, S.
- Venue
- British Journal of Cancer
- Published
- 2018-11-09
- Volume
- 120
- Issue
- 1
- Pages
- 26-37
- ISSN
- 0007-0920 (ISSN-L)
- 1532-1827
- OpenAlex
- W2900136343
- Cited by
- 440
- References
- 144
- FWCI
- 9.35
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Teaching an old dog new tricks: next-generation CAR T cells. https://app.cochat.ai/papers/10.1038/s41416-018-0325-1
- The paper
- Tokarew, N., Ogonek, J., Endres, S., von Bergwelt-Baildon, M., & Kobold, S. (2019). Teaching an old dog new tricks: next-generation CAR T cells. British Journal of Cancer. https://doi.org/10.1038/s41416-018-0325-1
Data sources
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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
