The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Trivalent CAR T cells overcome interpatient antigenic variability in glioblastoma
Open accessAbstract
Background: Glioblastoma (GBM) is the most common primary malignant brain cancer, and is currently incurable. Chimeric antigen receptor (CAR) T cells have shown promise in GBM treatment. While we have shown that combinatorial targeting of 2 glioma antigens offsets antigen escape and enhances T-cell effector functions, the interpatient variability in surface antigen expression between patients hinders the clinical impact of targeting 2 antigen pairs. This study addresses targeting 3 antigens using a single CAR T-cell product for broader application. Methods: We analyzed the surface expression of 3 targetable glioma antigens (human epidermal growth factor receptor 2 [HER2], interleukin-13 receptor subunit alpha-2 [IL13Rα2], and ephrin-A2 [EphA2]) in 15 primary GBM samples. Accordingly, we created a trivalent T-cell product armed with 3 CAR molecules specific for these validated targets encoded by a single universal (U) tricistronic transgene (UCAR T cells). Results: Our data showed that co-targeting HER2, IL13Rα2, and EphA2 could overcome interpatient variability by a tendency to capture nearly 100% of tumor cells in most tumors tested in this cohort. UCAR T cells made from GBM patients' blood uniformly expressed all 3 CAR molecules with distinct antigen specificity. UCAR T cells mediated robust immune synapses with tumor targets forming more polarized microtubule organizing centers and exhibited improved cytotoxicity and cytokine release over best monospecific and bispecific CAR T cells per patient tumor profile. Lastly, low doses of UCAR T cells controlled established autologous GBM patient derived xenografts (PDXs) and improved survival of treated animals. Conclusion: UCAR T cells can overcome antigenic heterogeneity in GBM and lead to improved treatment outcomes.
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
Comprehensive genomic characterization defines human glioblastoma genes and core pathways
The Cancer Genome Atlas Research Network (2008) · Nature · doi:10.1038/nature07385 · Cited by 7,735
The Somatic Genomic Landscape of Glioblastoma
Brennan, C. W., Verhaak, R. G. W., McKenna, A., Campos, B., Noushmehr, H., Salama, S. R., Zheng, S., Chakravarty, D., Sanborn, J. Z., Berman, S. H., et al. (2013) · Cell · doi:10.1016/j.cell.2013.09.034 · Cited by 5,016
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
Long, A. H., Haso, W. M., Shern, J. F., Wanhainen, K. M., Murgai, M., Ingaramo, M., Smith, J. P., Walker, A. J., Kohler, M. E., Venkateshwara, V. R., et al. (2015) · Nature Medicine · doi:10.1038/nm.3838 · Cited by 1,815
Inducible Apoptosis as a Safety Switch for Adoptive Cell Therapy
Di Stasi, A., Tey, S.-K., Dotti, G., Fujita, Y., Kennedy-Nasser, A., Martinez, C., Straathof, K., Liu, E., Durett, A. G., Grilley, B., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1106152 · Cited by 1,512
Sotillo, E., Barrett, D. M., Black, K. L., Bagashev, A., Oldridge, D., Wu, G., Sussman, R., Lanauze, C., Ruella, M., Gazzara, M. R., et al. (2015) · Cancer Discovery · doi:10.1158/2159-8290.cd-15-1020 · Cited by 1,254
Kawalekar, O. U., O’Connor, R. S., Fraietta, J. A., Guo, L., McGettigan, S. E., Posey, A. D., Patel, P. R., Guedan, S., Scholler, J., Keith, B., et al. (2016) · Immunity · doi:10.1016/j.immuni.2016.01.021 · Cited by 1,230
Ahmed, N., Brawley, V., Hegde, M., Bielamowicz, K., Kalra, M., Landi, D., Robertson, C., Gray, T. L., Diouf, O., Wakefield, A., et al. (2017) · JAMA Oncology · doi:10.1001/jamaoncol.2017.0184 · Cited by 850
Self-citationTandem CAR T cells targeting HER2 and IL13Rα2 mitigate tumor antigen escape
Hegde, M., Mukherjee, M., Grada, Z., Pignata, A., Landi, D., Navai, S. A., Wakefield, A., Fousek, K., Bielamowicz, K., Chow, K. K. H., et al. (2016) · Journal of Clinical Investigation · doi:10.1172/jci83416 · Cited by 677
Self-citationChimeric Antigen Receptor T Cells against CD19 for Multiple Myeloma
Garfall, A. L., Maus, M. V., Hwang, W.-T., Lacey, S. F., Mahnke, Y. D., Melenhorst, J. J., Zheng, Z., Vogl, D. T., Cohen, A. D., Weiss, B. M., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1504542 · Cited by 624
Cited by
A guide to cancer immunotherapy: from T cell basic science to clinical practice
Waldman, A. D., Fritz, J. M., & Lenardo, M. J. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-020-0306-5 · Cited by 4,154
Cancer stem cells—Origins and biomarkers: Perspectives for targeted personalized therapies
Walcher, L., Kistenmacher, A.-K., Suo, H., Kitte, R., Dluczek, S., Strauß, A., Blaudszun, A.-R., Yevsa, T., Fricke, S., & Kossatz-Boehlert, U. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.01280 · Cited by 1,007
CAR race to cancer immunotherapy: from CAR T, CAR NK to CAR macrophage therapy
Pan, K., Farrukh, H., Chittepu, V. C. S. R., Xu, H., Pan, C.-X., & Zhu, Z. (2022) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-022-02327-z · Cited by 657
Clinical lessons learned from the first leg of the CAR T cell journey
Majzner, R. G., & Mackall, C. L. (2019) · Nature Medicine · doi:10.1038/s41591-019-0564-6 · Cited by 636
Spiegel, J. Y., Patel, S., Muffly, L., Hossain, N. M., Oak, J., Baird, J. H., Frank, M. J., Shiraz, P., Sahaf, B., Craig, J., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01436-0 · Cited by 606
Metadata
- Authors
- Bielamowicz, K., Fousek, K., Byrd, T. T., Samaha, H., Mukherjee, M., Aware, N., Wu, M.-F., Orange, J. S., Sumazin, P., Man, T.-K., Joseph, S. K., Hegde, M., & Ahmed, N.
- Venue
- Neuro-Oncology
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-09-16
- Volume
- 20
- Issue
- 4
- Pages
- 506-518
- ISSN
- 1522-8517 (ISSN-L)
- 1523-5866
- OpenAlex
- W2755677601
- Cited by
- 425
- References
- 33
- FWCI
- 12.49
- Type
- journal article
- Language
- en
- Open access
- green
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: Trivalent CAR T cells overcome interpatient antigenic variability in glioblastoma. https://app.cochat.ai/papers/10.1093/neuonc/nox182
- The paper
- Bielamowicz, K., Fousek, K., Byrd, T. T., Samaha, H., Mukherjee, M., Aware, N., Wu, M.-F., Orange, J. S., Sumazin, P., Man, T.-K., Joseph, S. K., Hegde, M., & Ahmed, N. (2018). Trivalent CAR T cells overcome interpatient antigenic variability in glioblastoma. Neuro-Oncology. https://doi.org/10.1093/neuonc/nox182
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.