The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Optimization of IL13Rα2-Targeted Chimeric Antigen Receptor T Cells for Improved Anti-tumor Efficacy against Glioblastoma
Open accessAbstract
T cell immunotherapy is emerging as a powerful strategy to treat cancer and may improve outcomes for patients with glioblastoma (GBM). We have developed a chimeric antigen receptor (CAR) T cell immunotherapy targeting IL-13 receptor α2 (IL13Rα2) for the treatment of GBM. Here, we describe the optimization of IL13Rα2-targeted CAR T cells, including the design of a 4-1BB (CD137) co-stimulatory CAR (IL13BBζ) and a manufacturing platform using enriched central memory T cells. Utilizing orthotopic human GBM models with patient-derived tumor sphere lines in NSG mice, we found that IL13BBζ-CAR T cells improved anti-tumor activity and T cell persistence as compared to first-generation IL13ζ-CAR CD8 + T cells that had shown evidence for bioactivity in patients. Investigating the impact of corticosteroids, given their frequent use in the clinical management of GBM, we demonstrate that low-dose dexamethasone does not diminish CAR T cell anti-tumor activity in vivo. Furthermore, we found that local intracranial delivery of CAR T cells elicits superior anti-tumor efficacy as compared to intravenous administration, with intraventricular infusions exhibiting possible benefit over intracranial tumor infusions in a multifocal disease model. Overall, these findings help define parameters for the clinical translation of CAR T cell therapy for the treatment of brain tumors.
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
Tissue-based map of the human proteome
Uhlén, M., Fagerberg, L., Hallström, B. M., Lindskog, C., Oksvold, P., Mardinoglu, A., Sivertsson, Å., Kampf, C., Sjöstedt, E., Asplund, A., et al. (2015) · Science · doi:10.1126/science.1260419 · Cited by 15,286
Ostrom, Q. T., Gittleman, H., Farah, P., Ondracek, A., Chen, Y., Wolinsky, Y., Stroup, N. E., Kruchko, C., & Barnholtz-Sloan, J. S. (2013) · Neuro-Oncology · doi:10.1093/neuonc/not151 · Cited by 11,994
Chimeric Antigen Receptor T Cells for Sustained Remissions in Leukemia
Maude, S. L., Frey, N., Shaw, P. A., Aplenc, R., Barrett, D. M., Bunin, N. J., Chew, A., Gonzalez, V. E., Zheng, Z., Lacey, S. F., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1407222 · Cited by 5,413
Chimeric Antigen Receptor–Modified T Cells for Acute Lymphoid Leukemia
Grupp, S. A., Kalos, M., Barrett, D., Aplenc, R., Porter, D. L., Rheingold, S. R., Teachey, D. T., Chew, A., Hauck, B., Wright, J. F., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1215134 · Cited by 3,509
Lee, D. W., Kochenderfer, J. N., Stetler-Stevenson, M., Cui, Y. K., Delbrook, C., Feldman, S. A., Fry, T. J., Orentas, R., Sabatino, M., Shah, N. N., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(14)61403-3 · Cited by 2,898
CD19 CAR–T cells of defined CD4+:CD8+ composition in adult B cell ALL patients
Turtle, C. J., Hanafi, L.-A., Berger, C., Gooley, T. A., Cherian, S., Hudecek, M., Sommermeyer, D., Melville, K., Pender, B., Budiarto, T. M., et al. (2016) · Journal of Clinical Investigation · doi:10.1172/jci85309 · Cited by 2,112
Regression of Glioblastoma after Chimeric Antigen Receptor T-Cell Therapy
Brown, C. E., Alizadeh, D., Starr, R., Weng, L., Wagner, J. R., Naranjo, A., Ostberg, J. R., Blanchard, M. S., Kilpatrick, J., Simpson, J., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1610497 · Cited by 1,836
Self-citationDolecek, T. A., Propp, J. M., Stroup, N. E., & Kruchko, C. (2012) · Neuro-Oncology · doi:10.1093/neuonc/nos218 · Cited by 1,710
Berger, C., Jensen, M. C., Lansdorp, P. M., Gough, M., Elliott, C., & Riddell, S. R. (2008) · Journal of Clinical Investigation · doi:10.1172/jci32103 · Cited by 824
Donnelly, M. L. L., Luke, G., Mehrotra, A., Li, X., Hughes, L. E., Gani, D., & Ryan, M. D. (2001) · Journal of General Virology · doi:10.1099/0022-1317-82-5-1013 · Cited by 798
Cited by
CAR-T cell therapy: current limitations and potential strategies
Sterner, R. C., & Sterner, R. M. (2021) · Blood Cancer Journal · doi:10.1038/s41408-021-00459-7 · Cited by 2,926
Adeno-associated virus vector as a platform for gene therapy delivery
Wang, D., Tai, P. W. L., & Gao, G. (2019) · Nature Reviews Drug Discovery · doi:10.1038/s41573-019-0012-9 · Cited by 2,444
Current state of immunotherapy for glioblastoma
Lim, M., Xia, Y., Bettegowda, C., & Weller, M. (2018) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-018-0003-5 · Cited by 1,365
Mechanisms of resistance to CAR T cell therapy
Shah, N. N., & Fry, T. J. (2019) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-019-0184-6 · Cited by 959
Immunotherapy for glioma: Current management and future application
Xu, S., Tang, L., Li, X., Fan, F., & Liu, Z. (2020) · Cancer Letters · doi:10.1016/j.canlet.2020.02.002 · Cited by 746
Metadata
- Authors
- Brown, C. E., Aguilar, B., Starr, R., Yang, X., Chang, W.-C., Weng, L., Chang, B., Sarkissian, A., Brito, A., Sanchez, J. F., Ostberg, J. R., D’Apuzzo, M., Badie, B., Barish, M. E., & Forman, S. J.
- Venue
- Molecular Therapy
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 26
- Issue
- 1
- Pages
- 31-44
- ISSN
- 1525-0016 (ISSN-L)
- OpenAlex
- W2766649683
- Cited by
- 299
- References
- 48
- FWCI
- 6.57
- 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: Optimization of IL13Rα2-Targeted Chimeric Antigen Receptor T Cells for Improved Anti-tumor Efficacy against Glioblastoma. https://app.cochat.ai/papers/10.1016/j.ymthe.2017.10.002
- The paper
- Brown, C. E., Aguilar, B., Starr, R., Yang, X., Chang, W.-C., Weng, L., Chang, B., Sarkissian, A., Brito, A., Sanchez, J. F., Ostberg, J. R., D’Apuzzo, M., Badie, B., Barish, M. E., & Forman, S. J. (2018). Optimization of IL13Rα2-Targeted Chimeric Antigen Receptor T Cells for Improved Anti-tumor Efficacy against Glioblastoma. Molecular Therapy. https://doi.org/10.1016/j.ymthe.2017.10.002
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.