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Usage Information

PD-L1 tumor-intrinsic signaling and its therapeutic implication in triple-negative breast cancer
Chunhua Chen, Shiheng Li, Junli Xue, Manlong Qi, Xin Liu, Yan Huang, Jinghua Hu, Haidong Dong, Kun Ling
Chunhua Chen, Shiheng Li, Junli Xue, Manlong Qi, Xin Liu, Yan Huang, Jinghua Hu, Haidong Dong, Kun Ling
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Research Article Oncology Therapeutics

PD-L1 tumor-intrinsic signaling and its therapeutic implication in triple-negative breast cancer

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Abstract

Although the immune checkpoint role of programmed death ligand 1 (PD-L1) has been established and targeted in cancer immunotherapy, the tumor-intrinsic role of PD-L1 is less appreciated in tumor biology and therapeutics development, partly because of the incomplete mechanistic understanding. Here we demonstrate a potentially novel mechanism by which PD-L1 promotes the epithelial-mesenchymal transition (EMT) in triple-negative breast cancer (TNBC) cells by suppressing the destruction of the EMT transcription factor Snail. PD-L1 directly binds to and inhibits the tyrosine phosphatase PTP1B, thus preserving p38-MAPK activity that phosphorylates and inhibits glycogen synthase kinase 3β (GSK3β). Via this mechanism, PD-L1 prevents the GSK3β-mediated phosphorylation, ubiquitination, and degradation of Snail and consequently promotes the EMT and metastatic potential of TNBC. Significantly, PD-L1 antibodies that confine the tumor-intrinsic PD-L1/Snail pathway restricted TNBC progression in immunodeficient mice. More importantly, targeting both tumor-intrinsic and tumor-extrinsic functions of PD-L1 showed strong synergistic tumor suppression effect in an immunocompetent TNBC mouse model. Our findings support that PD-L1 intrinsically facilitates TNBC progression by promoting the EMT, and this potentially novel PD-L1 signaling pathway could be targeted for better clinical management of PD-L1–overexpressing TNBCs.

Authors

Chunhua Chen, Shiheng Li, Junli Xue, Manlong Qi, Xin Liu, Yan Huang, Jinghua Hu, Haidong Dong, Kun Ling

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Usage data is cumulative from December 2024 through December 2025.

Usage JCI PMC
Text version 1,261 367
PDF 179 51
Figure 669 7
Supplemental data 56 8
Citation downloads 115 0
Totals 2,280 433
Total Views 2,713
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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