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Usage Information

Augmenting chemotherapy with low-dose decitabine through an immune-independent mechanism
Wade R. Gutierrez, … , Varun Monga, Rebecca D. Dodd
Wade R. Gutierrez, … , Varun Monga, Rebecca D. Dodd
Published October 13, 2022
Citation Information: JCI Insight. 2022;7(22):e159419. https://doi.org/10.1172/jci.insight.159419.
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Research Article Oncology

Augmenting chemotherapy with low-dose decitabine through an immune-independent mechanism

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Abstract

The DNA methyltransferase inhibitor decitabine has classically been used to reactivate silenced genes and as a pretreatment for anticancer therapies. In a variation of this idea, this study explores the concept of adding low-dose decitabine (DAC) following administration of chemotherapy to bolster therapeutic efficacy. We find that addition of DAC following treatment with the chemotherapy agent gemcitabine improves survival and slows tumor growth in a mouse model of high-grade sarcoma. Unlike prior studies in epithelial tumor models, DAC did not induce a robust antitumor T cell response in sarcoma. Furthermore, DAC synergizes with gemcitabine independently of the immune system. Mechanistic analyses demonstrate that the combination therapy induces biphasic cell cycle arrest and apoptosis. Therapeutic efficacy was sequence dependent, with gemcitabine priming cells for treatment with DAC through inhibition of ribonucleotide reductase. This study identifies an apparently unique application of DAC to augment the cytotoxic effects of conventional chemotherapy in an immune-independent manner. The concepts explored in this study represent a promising paradigm for cancer treatment by augmenting chemotherapy through addition of DAC to increase tolerability and improve patient response. These findings have widespread implications for the treatment of sarcomas and other aggressive malignancies.

Authors

Wade R. Gutierrez, Amanda Scherer, Jeffrey D. Rytlewski, Emily A. Laverty, Alexa P. Sheehan, Gavin R. McGivney, Qierra R. Brockman, Vickie Knepper-Adrian, Grace A. Roughton, Dawn E. Quelle, David J. Gordon, Varun Monga, Rebecca D. Dodd

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Usage data is cumulative from October 2022 through January 2023.

Usage JCI PMC
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PDF 406 2
Figure 150 0
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Citation downloads 41 0
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Total Views 2,195

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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