The DOI matches its Crossref record; 178 of the 178 references it cites were found in a registry or an index.
Vaccinia virus-mediated cancer immunotherapy: cancer vaccines and oncolytics
Open accessAbstract
Cancer vaccines and oncolytic immunotherapy are promising treatment strategies with potential to provide greater clinical benefit to patients with advanced-stage cancer. In particular, recombinant vaccinia viruses (VV) hold great promise as interventional agents. In this article, we first summarize the current understanding of virus biology and viral genes involved in host-virus interactions to further improve the utility of these agents in therapeutic applications. We then discuss recent findings from basic and clinical studies using VV as cancer vaccines and oncolytic immunotherapies. Despite encouraging results gleaned from translational studies in animal models, clinical trials implementing VV vectors alone as cancer vaccines have yielded largely disappointing results. However, the combination of VV vaccines with alternate forms of standard therapies has resulted in superior clinical efficacy. For instance, combination regimens using TG4010 (MVA-MUC1-IL2) with first-line chemotherapy in advanced-stage non-small cell lung cancer or combining PANVAC with docetaxel in the setting of metastatic breast cancer have clearly provided enhanced clinical benefits to patients. Another novel cancer vaccine approach is to stimulate anti-tumor immunity via STING activation in Batf3-dependent dendritic cells (DC) through the use of replication-attenuated VV vectors. Oncolytic VVs have now been engineered for improved safety and superior therapeutic efficacy by arming them with immune-stimulatory genes or pro-apoptotic molecules to facilitate tumor immunogenic cell death, leading to enhanced DC-mediated cross-priming of T cells recognizing tumor antigens, including neoantigens. Encouraging translational and early phase clinical results with Pexa-Vec have matured into an ongoing global phase III trial for patients with hepatocellular carcinoma. Combinatorial approaches, most notably those using immune checkpoint blockade, have produced exciting pre-clinical results and warrant the development of innovative clinical studies. Finally, we discuss major hurdles that remain in the field and offer some perspectives regarding the development of next generation VV vectors for use as cancer therapeutics.
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Cites
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
Mutational heterogeneity in cancer and the search for new cancer-associated genes
Lawrence, M. S., Stojanov, P., Polak, P., Kryukov, G. V., Cibulskis, K., Sivachenko, A., Carter, S. L., Stewart, C., Mermel, C. H., Roberts, S. A., et al. (2013) · Nature · doi:10.1038/nature12213 · Cited by 5,461
Neoantigens in cancer immunotherapy
Schumacher, T. N., & Schreiber, R. D. (2015) · Science · doi:10.1126/science.aaa4971 · Cited by 4,783
Immune Checkpoint Blockade: A Common Denominator Approach to Cancer Therapy
Topalian, S. L., Drake, C. G., & Pardoll, D. M. (2015) · Cancer Cell · doi:10.1016/j.ccell.2015.03.001 · Cited by 4,229
Immunogenic cell death in cancer and infectious disease
Galluzzi, L., Buqué, A., Kepp, O., Zitvogel, L., & Kroemer, G. (2017) · Nature Reviews Immunology · doi:10.1038/nri.2016.107 · Cited by 3,119
Fundamental Mechanisms of Immune Checkpoint Blockade Therapy
Wei, S. C., Duffy, C. R., & Allison, J. P. (2018) · Cancer Discovery · doi:10.1158/2159-8290.cd-18-0367 · Cited by 3,088
An immunogenic personal neoantigen vaccine for patients with melanoma
Ott, P. A., Hu, Z., Keskin, D. B., Shukla, S. A., Sun, J., Bozym, D. J., Zhang, W., Luoma, A., Giobbie-Hurder, A., Peter, L., et al. (2017) · Nature · doi:10.1038/nature22991 · Cited by 2,936
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
Personalized RNA mutanome vaccines mobilize poly-specific therapeutic immunity against cancer
Sahin, U., Derhovanessian, E., Miller, M., Kloke, B.-P., Simon, P., Löwer, M., Bukur, V., Tadmor, A. D., Luxemburger, U., Schrörs, B., et al. (2017) · Nature · doi:10.1038/nature23003 · Cited by 2,488
Immunosuppressive networks in the tumour environment and their therapeutic relevance
Zou, W. (2005) · Nature Reviews Cancer · doi:10.1038/nrc1586 · Cited by 2,057
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Fan, T., Zhang, M., Yang, J., Zhu, Z., Cao, W., & Dong, C. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01674-3 · Cited by 597
Oncolytic virotherapy: basic principles, recent advances and future directions
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Viral gene delivery vectors: the next generation medicines for immune-related diseases
De Haan, P., Van Diemen, F. R., & Toscano, M. G. (2021) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2020.1757989 · Cited by 34
Sun, Y., Zhang, Z., Zhang, C., Zhang, N., Wang, P., Chu, Y., Chard Dunmall, L. S., Lemoine, N. R., & Wang, Y. (2022) · Molecular Therapy - Oncolytics · doi:10.1016/j.omto.2022.05.008 · Cited by 30
Metadata
- Authors
- Guo, Z. S., Lu, B., Guo, Z., Giehl, E., Feist, M., Dai, E., Liu, W., Storkus, W. J., He, Y., Liu, Z., & Bartlett, D. L.
- Venue
- Journal for ImmunoTherapy of Cancer
- Publisher
- BMJ
- Published
- 2019-01-09
- Volume
- 7
- Issue
- 1
- Pages
- 6-6
- ISSN
- 2051-1426 (ISSN-L)
- OpenAlex
- W2912462653
- Cited by
- 292
- References
- 178
- FWCI
- 11.06
- Type
- journal article
- Language
- en
- Open access
- gold
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- Guo, Z. S., Lu, B., Guo, Z., Giehl, E., Feist, M., Dai, E., Liu, W., Storkus, W. J., He, Y., Liu, Z., & Bartlett, D. L. (2019). Vaccinia virus-mediated cancer immunotherapy: cancer vaccines and oncolytics. Journal for ImmunoTherapy of Cancer. https://doi.org/10.1186/s40425-018-0495-7
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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