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Usage Information

A stapled BIM peptide overcomes apoptotic resistance in hematologic cancers
James L. LaBelle, Samuel G. Katz, Gregory H. Bird, Evripidis Gavathiotis, Michelle L. Stewart, Chelsea Lawrence, Jill K. Fisher, Marina Godes, Kenneth Pitter, Andrew L. Kung, Loren D. Walensky
James L. LaBelle, Samuel G. Katz, Gregory H. Bird, Evripidis Gavathiotis, Michelle L. Stewart, Chelsea Lawrence, Jill K. Fisher, Marina Godes, Kenneth Pitter, Andrew L. Kung, Loren D. Walensky
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Research Article

A stapled BIM peptide overcomes apoptotic resistance in hematologic cancers

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Abstract

Cancer cells subvert the natural balance between cellular life and death, achieving immortality through pathologic enforcement of survival pathways and blockade of cell death mechanisms. Pro-apoptotic BCL-2 family proteins are frequently disarmed in relapsed and refractory cancer through genetic deletion or interaction-based neutralization by overexpressed antiapoptotic proteins, resulting in resistance to chemotherapy and radiation treatments. New pharmacologic strategies are urgently needed to overcome these formidable apoptotic blockades. We harnessed the natural killing activity of BCL-2–interacting mediator of cell death (BIM), which contains one of the most potent BH3 death domains of the BCL-2 protein family, to restore BH3-dependent cell death in resistant hematologic cancers. A hydrocarbon-stapled peptide modeled after the BIM BH3 helix broadly targeted BCL-2 family proteins with high affinity, blocked inhibitory antiapoptotic interactions, directly triggered proapoptotic activity, and induced dose-responsive and BH3 sequence–specific cell death of hematologic cancer cells. The therapeutic potential of stapled BIM BH3 was highlighted by the selective activation of cell death in the aberrant lymphoid infiltrates of mice reconstituted with BIM-deficient bone marrow and in a human AML xenograft model. Thus, we found that broad and multimodal targeting of the BCL-2 family pathway can overcome pathologic barriers to cell death.

Authors

James L. LaBelle, Samuel G. Katz, Gregory H. Bird, Evripidis Gavathiotis, Michelle L. Stewart, Chelsea Lawrence, Jill K. Fisher, Marina Godes, Kenneth Pitter, Andrew L. Kung, Loren D. Walensky

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Usage data is cumulative from August 2025 through August 2026.

Usage JCI PMC
Text version 1,843 88
PDF 232 15
Figure 949 22
Supplemental data 129 3
Citation downloads 204 0
Totals 3,357 128
Total Views 3,485
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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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ISSN: 0021-9738 (print), 1558-8238 (online)

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