Usage Information
Citation Information: JCI Insight. 2020;5(10):e136417. https://doi.org/10.1172/jci.insight.136417.
Abstract
Immunotherapies that modulate T cell function have been firmly established as a pillar of cancer therapy, whereas the potential for B cells in the antitumor immune response is less established. B cell–activating factor (BAFF) is a B cell–activating cytokine belonging to the TNF ligand family that has been associated with autoimmunity, but little is known about its effects on cancer immunity. We find that BAFF upregulates multiple B cell costimulatory molecules; augments IL-12a expression, consistent with Be-1 lineage commitment; and enhances B cell antigen-presentation to CD4+ Th cells in vitro. In a syngeneic mouse model of melanoma, BAFF upregulates B cell CD40 and PD-L1 expression; it also modulates T cell function through increased T cell activation and TH1 polarization, enhanced expression of the proinflammatory leukocyte trafficking chemokine CCR6, and promotion of a memory phenotype, leading to enhanced antitumor immunity. Similarly, adjuvant BAFF promotes a memory phenotype of T cells in vaccine-draining lymph nodes and augments the antitumor efficacy of whole cell vaccines. BAFF also has distinct immunoregulatory functions, promoting the expansion of CD4+Foxp3+ Tregs in the spleen and tumor microenvironment (TME). Human melanoma data from The Cancer Genome Atlas (TCGA) demonstrate that BAFF expression is positively associated with overall survival and a TH1/IFN-γ gene signature. These data support a potential role for BAFF signaling as a cancer immunotherapy.
Authors
Mark Yarchoan, Won Jin Ho, Aditya Mohan, Yajas Shah, Teena Vithayathil, James Leatherman, Lauren Dennison, Neeha Zaidi, Sudipto Ganguly, Skylar Woolman, Kayla Cruz, Todd D. Armstrong, Elizabeth M. Jaffee
Usage data is cumulative from February 2022 through February 2023.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 2,147 | 326 |
| 220 | 90 | |
| Figure | 302 | 12 |
| Supplemental data | 33 | 7 |
| Citation downloads | 44 | 0 |
| Totals | 2,746 | 435 |
| Total Views | 3,181 | |
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.
