The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Facilitating T Cell Infiltration in Tumor Microenvironment Overcomes Resistance to PD-L1 Blockade
Open accessAbstract
SUMMARY Immune checkpoint blockade therapies fail to induce responses in majority of cancer patients; so how to increase the objective response rate becomes an urgent challenge. Here we demonstrate that sufficient T cell infiltration in tumor tissues is a prerequisite for response to PD-L1 blockade. Targeting tumors with tumor necrosis factor superfamily member LIGHT activates lymphotoxin beta receptor signaling, leading to the production of chemokines that recruit massive numbers of T cells. Furthermore, targeting non-T cell-inflamed tumor tissues by antibody-guided LIGHT creates a T cell-inflamed microenvironment and overcomes tumor resistance to checkpoint blockade. Our data indicates that targeting LIGHT might be a potent strategy to increase the responses to checkpoint blockades and other immunotherapies in non-T cell-inflamed tumors.
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Citations
Cites
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Self-citationConserved pan-cancer microenvironment subtypes predict response to immunotherapy
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Chemokines and the immune response to cancer
Ozga, A. J., Chow, M. T., & Luster, A. D. (2021) · Immunity · doi:10.1016/j.immuni.2021.01.012 · Cited by 830
Metadata
- Authors
- Tang, H., Wang, Y., Chlewicki, L. K., Zhang, Y., Guo, J., Liang, W., Wang, J., Wang, X., & Fu, Y.-X.
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 29
- Issue
- 3
- Pages
- 285-296
- ISSN
- 1535-6108 (ISSN-L)
- OpenAlex
- W2294356527
- Cited by
- 472
- References
- 15
- FWCI
- 23.49
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Tang, H., Wang, Y., Chlewicki, L. K., Zhang, Y., Guo, J., Liang, W., Wang, J., Wang, X., & Fu, Y.-X. (2016). Facilitating T Cell Infiltration in Tumor Microenvironment Overcomes Resistance to PD-L1 Blockade. Cancer Cell. https://doi.org/10.1016/j.ccell.2016.02.004
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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.