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Cited by 308

The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.

Mechanisms and therapeutic potentials of cancer immunotherapy in combination with radiotherapy and/or chemotherapy

Yu, Wei-Di, Sun, Guan, Li, Jun, Xu, Jiang, Wang, Xiaochen·2019·Cancer Letters

Abstract

Immunotherapies based on T cells have gained significant success in the treatment of diverse cancers, however, several limitations also exist, including low response, acquired resistance and severe side effects, which lead to unfavorable outcomes. Recent studies found that traditional therapies, radiotherapy and/or chemotherapy may affect the immune condition in situ and cause abscopal effect, which may improve the response of immunotherapies, enhance the efficiency, and reduce the untoward effect. Here, we review the mechanisms uncovering the cancer immunotherapy and immunogenic effects of radiotherapy and chemotherapy, aiming to highlight the principles underlying the therapeutic potentials of cancer immunotherapy in combination with radiotherapy and/or chemotherapy and ultimately guide better designs for future synergistic cancer therapies.

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Metadata

Authors
Yu, W.-D., Sun, G., Li, J., Xu, J., & Wang, X.
Venue
Cancer Letters
Publisher
Elsevier BV
Published
2019-06
Volume
452
Pages
66-70
ISSN
0304-3835 (ISSN-L)
OpenAlex
W2922707684
Cited by
308
References
74
FWCI
7.80
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mechanisms and therapeutic potentials of cancer immunotherapy in combination with radiotherapy and/or chemotherapy. https://app.cochat.ai/papers/10.1016/j.canlet.2019.02.048
The paper
Yu, W.-D., Sun, G., Li, J., Xu, J., & Wang, X. (2019). Mechanisms and therapeutic potentials of cancer immunotherapy in combination with radiotherapy and/or chemotherapy. Cancer Letters. https://doi.org/10.1016/j.canlet.2019.02.048

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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.