The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
PD-1hi Identifies a Novel Regulatory B-cell Population in Human Hepatoma That Promotes Disease Progression
Published version of a preprint
Abstract
UNLABELLED: B cells often constitute abundant cellular components in human tumors. Regulatory B cells that are functionally defined by their ability to produce IL10 downregulate inflammation and control T-cell immunity. Here, we identified a protumorigenic subset of B cells that constitutively expressed higher levels of programmed cell death-1 (PD-1) and constituted ∼10% of all B cells in advanced-stage hepatocellular carcinoma (HCC). These PD-1(hi) B cells exhibited a unique CD5(hi)CD24(-/+)CD27(hi/+)CD38(dim) phenotype different from the phenotype of conventional CD24(hi)CD38(hi) peripheral regulatory B cells. TLR4-mediated BCL6 upregulation was crucial for PD-1(hi) B-cell induction by HCC environmental factors, and that effect was abolished by IL4-elicited STAT6 phosphorylation. Importantly, upon encountering PD-L1(+) cells or undergoing PD-1 triggering, PD-1(hi) B cells acquired regulatory functions that suppressed tumor-specific T-cell immunity and promoted cancer growth via IL10 signals. Our findings provide significant new insights for human cancer immunosuppression and anticancer therapies regarding PD-1/PD-L1. SIGNIFICANCE: We identify a novel protumorigenic PD-1(hi) B-cell subset in human HCC that exhibits a phenotype distinct from that of peripheral regulatory B cells. TLR4-mediated BCL6 upregulation is critical for induction of PD-1(hi) B cells, which operate via IL10-dependent pathways upon interacting with PD-L1 to cause T-cell dysfunction and foster disease progression. Cancer Discov; 6(5); 546-59. ©2016 AACR.See related commentary by Ren et al., p. 477This article is highlighted in the In This Issue feature, p. 461.
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“Since other cell types (such as dendritic cells and B cells) can also be influenced by PD-1 signaling, inhibition of the PD-1/PD-L1 pathway may also have T cell-independent effects, whose impact on immune responses during checkpoint inhibitor therapy remain to be elucidated (36, 58).”
From Anti-PD-1 and Anti-CTLA-4 Therapies in Cancer: Mechanisms of Action, Efficacy, and Limitations (2018) · cites this paper as [58]
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Cites
Innate and adaptive immune cells in the tumor microenvironment
Gajewski, T. F., Schreiber, H., & Fu, Y.-X. (2013) · Nature Immunology · doi:10.1038/ni.2703 · Cited by 4,148
Macrophage plasticity and interaction with lymphocyte subsets: cancer as a paradigm
Biswas, S. K., & Mantovani, A. (2010) · Nature Immunology · doi:10.1038/ni.1937 · Cited by 3,840
Molecular mechanisms of T cell co-stimulation and co-inhibition
Chen, L., & Flies, D. B. (2013) · Nature Reviews Immunology · doi:10.1038/nri3405 · Cited by 3,114
Follicular Helper CD4 T Cells (T FH )
Crotty, S. (2011) · Annual Review of Immunology · doi:10.1146/annurev-immunol-031210-101400 · Cited by 2,738
Irradiation and anti–PD-L1 treatment synergistically promote antitumor immunity in mice
Deng, L., Liang, H. L., Burnette, B., Beckett, M., Darga, T. E., Weichselbaum, R. R., & Fu, Y. (2014) · Journal of Clinical Investigation · doi:10.1172/jci67313 · Cited by 2,119
Inhibitory B7-family molecules in the tumour microenvironment
Zou, W., & Chen, L. (2008) · Nature Reviews Immunology · doi:10.1038/nri2326 · Cited by 1,608
Blair, P. A., Noreña, L. Y., Flores-Borja, F., Rawlings, D. J., Isenberg, D. A., Ehrenstein, M. R., & Mauri, C. (2010) · Immunity · doi:10.1016/j.immuni.2009.11.009 · Cited by 1,574
Llosa, N. J., Cruise, M., Tam, A., Wicks, E. C., Hechenbleikner, E. M., Taube, J. M., Blosser, R. L., Fan, H., Wang, H., Luber, B. S., et al. (2015) · Cancer Discovery · doi:10.1158/2159-8290.cd-14-0863 · Cited by 1,487
Innate Immune Pattern Recognition: A Cell Biological Perspective
Brubaker, S. W., Bonham, K. S., Zanoni, I., & Kagan, J. C. (2015) · Annual Review of Immunology · doi:10.1146/annurev-immunol-032414-112240 · Cited by 1,475
Blockade of B7-H1 improves myeloid dendritic cell-mediated antitumor immunity
Curiel, T. J., Wei, S., Dong, H., Alvarez, X., Cheng, P., Mottram, P., Krzysiek, R., Knutson, K. L., Daniel, B., Zimmermann, M. C., et al. (2003) · Nature Medicine · doi:10.1038/nm863 · Cited by 1,314
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Metadata
- Authors
- Xiao, X., Lao, X.-M., Chen, M.-M., Liu, R.-X., Wei, Y., Ouyang, F.-Z., Chen, D.-P., Zhao, X.-Y., Zhao, Q., Li, X.-F., Liu, C.-L., Zheng, L., & Kuang, D.-M.
- Affiliations
- 1Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
- Sun Yat-sen University Cancer Center (CN)
- Sun Yat-sen University (CN)
- Venue
- Cancer Discovery
- Published
- 2016-05-01
- Volume
- 6
- Issue
- 5
- Pages
- 546-559
- ISSN
- 2159-8274 (ISSN-L)
- 2159-8290
- OpenAlex
- W2295125580
- Cited by
- 352
- References
- 46
- Citations by year
- 2026: 23 · 2025: 42 · 2024: 37 · 2023: 35 · 2022: 46 · 2021: 57 · 2020: 35 · 2019: 34 · 2018: 20 · 2017: 13 · 2016: 10
- FWCI
- 15.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Cancer Discovery (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (81422036, 31470855, 81171982)
- Guangdong Natural Science Funds for Distinguished Young Scholars (S2013050014639)
- Doctoral Dissertation of PR China (201230)
- Fundamental Research Funds for the Central Universities (15lgjc09)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › Immune cells in cancer
- Keywords
- regulatory B cells, hepatocellular carcinoma, PD-L1, TLR4, BCL6, IL-10, STAT6, tumor immunosuppression, T cell suppression, B-cell phenotype, cancer immunotherapy
- MeSH terms
- Animals, Disease Models, Animal, Flow Cytometry, Hepatitis B, Hepatitis C, Carcinoma, Hepatocellular, Humans, Liver Neoplasms, Neoplasm Staging, Phenotype, Protein Binding, Recurrence, Signal Transduction, Biomarkers, Gene Expression, Immunophenotyping, Cytokines, Lymphocytes, Tumor-Infiltrating, Disease Progression, Cell Line, Tumor, STAT6 Transcription Factor, Mice, Proto-Oncogene Proteins c-bcl-6, Immunomodulation, B-Lymphocytes, Regulatory, B7-H1 Antigen, Programmed Cell Death 1 Receptor, Heterografts
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