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Cited by 472

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 access
Tang, Haidong, Wang, Yang, Chlewicki, Lukasz K., Zhang, Yuan, Guo, Jingya, Liang, Wei, Wang, Jieyi, Wang, Xiaoxiao, Fu, Yang-Xin·2016·Cancer Cell

Abstract

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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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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CoChat. (2026). Citation check: Facilitating T Cell Infiltration in Tumor Microenvironment Overcomes Resistance to PD-L1 Blockade. https://app.cochat.ai/papers/10.1016/j.ccell.2016.02.004
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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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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.