The DOI matches its Crossref record; 195 of the 195 references it cites were found in a registry or an index.
Emerging Cellular Therapies for Cancer
Open accessAbstract
Genetically engineered T cells are powerful new medicines, offering hope for curative responses in patients with cancer. Chimeric antigen receptor (CAR) T cells were recently approved by the US Food and Drug Administration and are poised to enter the practice of medicine for leukemia and lymphoma, demonstrating that engineered immune cells can serve as a powerful new class of cancer therapeutics. The emergence of synthetic biology approaches for cellular engineering provides a broadly expanded set of tools for programming immune cells for enhanced function. Advances in T cell engineering, genetic editing, the selection of optimal lymphocytes, and cell manufacturing have the potential to broaden T cell–based therapies and foster new applications beyond oncology, in infectious diseases, organ transplantation, and autoimmunity.
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Cites
Cancer immunotherapy using checkpoint blockade
Ribas, A., & Wolchok, J. D. (2018) · Science · doi:10.1126/science.aar4060 · Cited by 6,791
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
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
Self-citationChimeric 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
Self-citationMolecular and cellular insights into T cell exhaustion
Wherry, E. J., & Kurachi, M. (2015) · Nature Reviews Immunology · doi:10.1038/nri3862 · Cited by 4,652
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
Self-citationMutations Associated with Acquired Resistance to PD-1 Blockade in Melanoma
Zaretsky, J. M., Garcia-Diaz, A., Shin, D. S., Escuin-Ordinas, H., Hugo, W., Hu-Lieskovan, S., Torrejon, D. Y., Abril-Rodriguez, G., Sandoval, S., Barthly, L., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1604958 · Cited by 3,237
Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade
McGranahan, N., Furness, A. J. S., Rosenthal, R., Ramskov, S., Lyngaa, R., Saini, S. K., Jamal-Hanjani, M., Wilson, G. A., Birkbak, N. J., Hiley, C. T., et al. (2016) · Science · doi:10.1126/science.aaf1490 · Cited by 3,065
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
Cancer Regression and Autoimmunity in Patients After Clonal Repopulation with Antitumor Lymphocytes
Dudley, M. E., Wunderlich, J. R., Robbins, P. F., Yang, J. C., Hwu, P., Schwartzentruber, D. J., Topalian, S. L., Sherry, R., Restifo, N. P., Hubicki, A. M., et al. (2002) · Science · doi:10.1126/science.1076514 · Cited by 2,823
Cited by
Challenges and Opportunities for Pancreatic Cancer Immunotherapy
Bear, A. S., Vonderheide, R. H., & O'Hara, M. H. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.08.004 · Cited by 674
Signaling pathways involved in colorectal cancer: pathogenesis and targeted therapy
Li, Q., Geng, S., Luo, H., Wang, W., Mo, Y.-Q., Luo, Q., Wang, L., Song, G.-B., Sheng, J.-P., & Xu, B. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01953-7 · Cited by 546
Gut microbiome correlates of response and toxicity following anti-CD19 CAR T cell therapy
Smith, M., Dai, A., Ghilardi, G., Amelsberg, K. V., Devlin, S. M., Pajarillo, R., Slingerland, J. B., Beghi, S., Herrera, P. S., Giardina, P., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-01702-9 · Cited by 349
Self-citationCAR-T Cells Hit the Tumor Microenvironment: Strategies to Overcome Tumor Escape
Rodriguez-Garcia, A., Palazon, A., Noguera-Ortega, E., Powell, D. J., & Guedan, S. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.01109 · Cited by 312
Self-citationLi, W., Lu, L., Lu, J., Wang, X., Yang, C., Jin, J., Wu, L., Hong, X., Li, F., Cao, D., et al. (2020) · Science Translational Medicine · doi:10.1126/scitranslmed.aay9013 · Cited by 305
Metadata
- Authors
- Guedan, S., Ruella, M., & June, C. H.
- Venue
- Annual Review of Immunology
- Publisher
- Annual Reviews
- Published
- 2019-04-26
- Volume
- 37
- Issue
- 1
- Pages
- 145-171
- ISSN
- 0732-0582 (ISSN-L)
- 1545-3278
- OpenAlex
- W2903981326
- Cited by
- 386
- References
- 195
- Type
- conference abstract
- Language
- en
- Open access
- green
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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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
