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Usage Information

B7-H1–expressing antigen-presenting cells mediate polarization of protumorigenic Th22 subsets
Dong-Ming Kuang, Xiao Xiao, Qiyi Zhao, Min-Min Chen, Xue-Feng Li, Rui-Xian Liu, Yuan Wei, Fang-Zhu Ouyang, Dong-Ping Chen, Yan Wu, Xiang-Ming Lao, Hong Deng, Limin Zheng
Dong-Ming Kuang, Xiao Xiao, Qiyi Zhao, Min-Min Chen, Xue-Feng Li, Rui-Xian Liu, Yuan Wei, Fang-Zhu Ouyang, Dong-Ping Chen, Yan Wu, Xiang-Ming Lao, Hong Deng, Limin Zheng
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Research Article Oncology

B7-H1–expressing antigen-presenting cells mediate polarization of protumorigenic Th22 subsets

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Abstract

Classical IL-22–producing T helper cells (Th22 cells) mediate inflammatory responses independently of IFN-γ and IL-17; however, nonclassical Th22 cells have been recently identified and coexpress IFN-γ and/or IL-17 along with IL-22. Little is known about how classical and nonclassical Th22 subsets in human diseases are regulated. Here, we used samples of human blood, normal and peritumoral liver, and hepatocellular carcinoma (HCC) to delineate the phenotype, distribution, generation, and functional relevance of various Th22 subsets. Three nonclassical Th22 subsets constituted the majority of all Th22 cells in human liver and HCC tissues, although the classical Th22 subset was predominant in blood. Monocytes activated by TLR2 and TLR4 agonists served as the antigen-presenting cells (APCs) that most efficiently triggered the expansion of nonclassical Th22 subsets from memory T cells and classical Th22 subsets from naive T cells. Moreover, B7-H1–expressing monocytes skewed Th22 polarization away from IFN-γ and toward IL-17 through interaction with programmed death 1 (PD-1), an effect that can create favorable conditions for in vivo aggressive cancer growth and angiogenesis. Our results provide insight into the selective modulation of Th22 subsets and suggest that strategies to influence functional activities of inflammatory cells may benefit anticancer therapy.

Authors

Dong-Ming Kuang, Xiao Xiao, Qiyi Zhao, Min-Min Chen, Xue-Feng Li, Rui-Xian Liu, Yuan Wei, Fang-Zhu Ouyang, Dong-Ping Chen, Yan Wu, Xiang-Ming Lao, Hong Deng, Limin Zheng

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Usage data is cumulative from November 2025 through November 2026.

Usage JCI PMC
Text version 1,066 31
PDF 326 16
Figure 857 0
Supplemental data 142 5
Citation downloads 251 0
Totals 2,642 52
Total Views 2,694
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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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ISSN: 0021-9738 (print), 1558-8238 (online)

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