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Usage Information

Emerging therapies for acute myeloid leukemia: translating biology into the clinic
Simon Kavanagh, Tracy Murphy, Arjun Law, Dana Yehudai, Jenny M. Ho, Steve Chan, Aaron D. Schimmer
Simon Kavanagh, Tracy Murphy, Arjun Law, Dana Yehudai, Jenny M. Ho, Steve Chan, Aaron D. Schimmer
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Review

Emerging therapies for acute myeloid leukemia: translating biology into the clinic

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Abstract

Acute myeloid leukemia (AML) is an aggressive hematological malignancy with a poor outcome; overall survival is approximately 35% at two years and some subgroups have a less than 5% two-year survival. Recently, significant improvements have been made in our understanding of AML biology and genetics. These fundamental discoveries are now being translated into new therapies for this disease. This review will discuss recent advances in AML biology and the emerging treatments that are arising from biological studies. Specifically, we will consider new therapies that target molecular mutations in AML and dysregulated pathways such as apoptosis and mitochondrial metabolism. We will also discuss recent advances in immune and cellular therapy for AML.

Authors

Simon Kavanagh, Tracy Murphy, Arjun Law, Dana Yehudai, Jenny M. Ho, Steve Chan, Aaron D. Schimmer

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Usage data is cumulative from March 2025 through March 2026.

Usage JCI PMC
Text version 1,580 86
PDF 200 12
Figure 480 2
Table 135 0
Citation downloads 161 0
Totals 2,556 100
Total Views 2,656
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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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