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Usage Information

Therapeutic targeting of the MEK/MAPK signal transduction module in acute myeloid leukemia
Michele Milella, Steven M. Kornblau, Zeev Estrov, Bing Z. Carter, Hélène Lapillonne, David Harris, Marina Konopleva, Shourong Zhao, Elihu Estey, Michael Andreeff
Michele Milella, Steven M. Kornblau, Zeev Estrov, Bing Z. Carter, Hélène Lapillonne, David Harris, Marina Konopleva, Shourong Zhao, Elihu Estey, Michael Andreeff
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Article

Therapeutic targeting of the MEK/MAPK signal transduction module in acute myeloid leukemia

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Abstract

The mitogen-activated protein kinase (MAPK) pathway regulates growth and survival of many cell types, and its constitutive activation has been implicated in the pathogenesis of a variety of malignancies. In this study we demonstrate that small-molecule MEK inhibitors (PD98059 and PD184352) profoundly impair cell growth and survival of acute myeloid leukemia (AML) cell lines and primary samples with constitutive MAPK activation. These agents abrogate the clonogenicity of leukemic cells but have minimal effects on normal hematopoietic progenitors. MEK blockade also results in sensitization to spontaneous and drug-induced apoptosis. At a molecular level, these effects correlate with modulation of the expression of cyclin-dependent kinase inhibitors (p27Kip1 and p21Waf1/CIP1) and antiapoptotic proteins of the inhibitor of apoptosis proteins (IAP) and Bcl-2 families. Interruption of constitutive MEK/MAPK signaling therefore represents a promising therapeutic strategy in AML.

Authors

Michele Milella, Steven M. Kornblau, Zeev Estrov, Bing Z. Carter, Hélène Lapillonne, David Harris, Marina Konopleva, Shourong Zhao, Elihu Estey, Michael Andreeff

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Usage data is cumulative from March 2025 through March 2026.

Usage JCI PMC
Text version 1,353 165
PDF 103 33
Figure 290 17
Table 113 0
Citation downloads 107 0
Totals 1,966 215
Total Views 2,181
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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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