The DOI matches its Crossref record; 322 of the 322 references it cites were found in a registry or an index.
Engineering strategies to enhance oncolytic viruses in cancer immunotherapy
Open accessAbstract
Oncolytic viruses (OVs) are emerging as potentially useful platforms in treatment methods for patients with tumors. They preferentially target and kill tumor cells, leaving healthy cells unharmed. In addition to direct oncolysis, the essential and attractive aspect of oncolytic virotherapy is based on the intrinsic induction of both innate and adaptive immune responses. To further augment this efficacious response, OVs have been genetically engineered to express immune regulators that enhance or restore antitumor immunity. Recently, combinations of OVs with other immunotherapies, such as immune checkpoint inhibitors (ICIs), chimeric antigen receptors (CARs), antigen-specific T-cell receptors (TCRs) and autologous tumor-infiltrating lymphocytes (TILs), have led to promising progress in cancer treatment. This review summarizes the intrinsic mechanisms of OVs, describes the optimization strategies for using armed OVs to enhance the effects of antitumor immunity and highlights rational combinations of OVs with other immunotherapies in recent preclinical and clinical studies.
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Understanding the tumor immune microenvironment (TIME) for effective therapy
Binnewies, M., Roberts, E. W., Kersten, K., Chan, V., Fearon, D. F., Merad, M., Coussens, L. M., Gabrilovich, D. I., Ostrand-Rosenberg, S., Hedrick, C. C., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0014-x · Cited by 6,145
Primary, Adaptive, and Acquired Resistance to Cancer Immunotherapy
Sharma, P., Hu-Lieskovan, S., Wargo, J. A., & Ribas, A. (2017) · Cell · doi:10.1016/j.cell.2017.01.017 · Cited by 5,588
TGFβ attenuates tumour response to PD-L1 blockade by contributing to exclusion of T cells
Mariathasan, S., Turley, S. J., Nickles, D., Castiglioni, A., Yuen, K., Wang, Y., Kadel III, E. E., Koeppen, H., Astarita, J. L., Cubas, R., et al. (2018) · Nature · doi:10.1038/nature25501 · Cited by 5,400
Immune-Related Adverse Events Associated with Immune Checkpoint Blockade
Postow, M. A., Sidlow, R., & Hellmann, M. D. (2018) · New England Journal of Medicine · doi:10.1056/nejmra1703481 · Cited by 4,849
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
The Tumor Microenvironment Innately Modulates Cancer Progression
Hinshaw, D. C., & Shevde, L. A. (2019) · Cancer Research · doi:10.1158/0008-5472.can-18-3962 · Cited by 3,270
Development of T H 1 CD4 + T Cells Through IL-12 Produced by Listeria -Induced Macrophages
Hsieh, C.-S., Macatonia, S. E., Tripp, C. S., Wolf, S. F., O'Garra, A., & Murphy, K. M. (1993) · Science · doi:10.1126/science.8097338 · Cited by 3,134
Talimogene Laherparepvec Improves Durable Response Rate in Patients With Advanced Melanoma
Andtbacka, R. H. I., Kaufman, H. L., Collichio, F., Amatruda, T., Senzer, N., Chesney, J., Delman, K. A., Spitler, L. E., Puzanov, I., Agarwala, S. S., et al. (2015) · Journal of Clinical Oncology · doi:10.1200/jco.2014.58.3377 · Cited by 2,634
T cell exclusion, immune privilege, and the tumor microenvironment
Joyce, J. A., & Fearon, D. T. (2015) · Science · doi:10.1126/science.aaa6204 · Cited by 2,473
The immune contexture in cancer prognosis and treatment
Fridman, W. H., Zitvogel, L., Sautès–Fridman, C., & Kroemer, G. (2017) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2017.101 · Cited by 2,263
Metadata
- Authors
- Tian, Y., Xie, D., & Yang, L.
- Venue
- Signal Transduction and Targeted Therapy
- Published
- 2022-04-06
- Volume
- 7
- Issue
- 1
- Pages
- 117-117
- ISSN
- 2059-3635 (ISSN-L)
- OpenAlex
- W4223461106
- Cited by
- 293
- References
- 322
- FWCI
- 31.91
- Type
- journal article
- Language
- en
- Open access
- gold
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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.