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Usage Information

TNF blockade uncouples toxicity from antitumor efficacy induced with CD40 chemoimmunotherapy
Meredith L. Stone, … , Kristen B. Long, Gregory L. Beatty
Meredith L. Stone, … , Kristen B. Long, Gregory L. Beatty
Published June 8, 2021
Citation Information: JCI Insight. 2021;6(14):e146314. https://doi.org/10.1172/jci.insight.146314.
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Research Article Immunology

TNF blockade uncouples toxicity from antitumor efficacy induced with CD40 chemoimmunotherapy

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Abstract

Agonist CD40 antibodies are under clinical development in combination with chemotherapy as an approach to prime for antitumor T cell immunity. However, treatment with anti-CD40 is commonly accompanied by both systemic cytokine release and liver transaminase elevations, which together account for the most common dose-limiting toxicities. Moreover, anti-CD40 treatment increases the potential for chemotherapy-induced hepatotoxicity. Here, we report a mechanistic link between cytokine release and hepatotoxicity induced by anti-CD40 when combined with chemotherapy and show that toxicity can be suppressed without impairing therapeutic efficacy. We demonstrate in mice and humans that anti-CD40 triggers transient hepatotoxicity marked by increased serum transaminase levels. In doing so, anti-CD40 sensitizes the liver to drug-induced toxicity. Unexpectedly, this biology is not blocked by the depletion of multiple myeloid cell subsets, including macrophages, inflammatory monocytes, and granulocytes. Transcriptional profiling of the liver after anti-CD40 revealed activation of multiple cytokine pathways including TNF and IL-6. Neutralization of TNF, but not IL-6, prevented sensitization of the liver to hepatotoxicity induced with anti-CD40 in combination with chemotherapy without impacting antitumor efficacy. Our findings reveal a clinically feasible approach to mitigate toxicity without impairing efficacy in the use of agonist CD40 antibodies for cancer immunotherapy.

Authors

Meredith L. Stone, Jesse Lee, Veronica M. Herrera, Kathleen Graham, Jae W. Lee, Austin Huffman, Heather Coho, Evan Tooker, Max I. Myers, Michael Giannone, Yan Li, Thomas H. Buckingham, Kristen B. Long, Gregory L. Beatty

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Usage data is cumulative from April 2022 through April 2023.

Usage JCI PMC
Text version 1,160 168
PDF 166 44
Figure 232 6
Supplemental data 119 6
Citation downloads 66 0
Totals 1,743 224
Total Views 1,967

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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