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Usage Information

Cancer therapy and cachexia
Tuba Mansoor Thakir, Alice R. Wang, Amanda R. Decker-Farrell, Miriam Ferrer, Rohini N. Guin, Sam Kleeman, Llewelyn Levett, Xiang Zhao, Tobias Janowitz
Tuba Mansoor Thakir, Alice R. Wang, Amanda R. Decker-Farrell, Miriam Ferrer, Rohini N. Guin, Sam Kleeman, Llewelyn Levett, Xiang Zhao, Tobias Janowitz
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Review

Cancer therapy and cachexia

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Abstract

A central challenge in cancer therapy is the effective delivery of anticancer treatments while minimizing adverse effects on patient health. The potential dual impact of therapy is clearly illustrated in cancer-associated cachexia, a multifactorial syndrome characterized by involuntary weight loss, systemic inflammation, metabolic dysregulation, and behavioral alterations such as anorexia and apathy. While cachexia research often focuses on tumor-driven mechanisms, the literature indicates that cancer therapies themselves, particularly chemotherapies and targeted treatments, can initiate or exacerbate the biological pathways driving this syndrome. Here, we explore how therapeutic interventions intersect with the pathophysiology of cachexia, focusing on key organ systems including muscle, adipose tissue, liver, heart, and brain. We highlight examples such as therapy-induced upregulation of IL-6 and growth-differentiation factor 15, both contributing to reduced nutrient intake and a negative energy balance via brain-specific mechanisms. At the level of nutrient release and organ atrophy, chemotherapies also converge with cancer progression, for example, activating NF-κB in muscle and PKA/CREB signaling in adipose tissue. By examining how treatment timing and modality align with the natural trajectory of cancer cachexia, we underscore the importance of incorporating physiological endpoints alongside tumor-centric metrics in clinical trials. Such integrative approaches may better capture therapeutic efficacy while preserving patient well-being.

Authors

Tuba Mansoor Thakir, Alice R. Wang, Amanda R. Decker-Farrell, Miriam Ferrer, Rohini N. Guin, Sam Kleeman, Llewelyn Levett, Xiang Zhao, Tobias Janowitz

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Usage data is cumulative from August 2025 through July 2026.

Usage JCI PMC
Text version 8,316 1,534
PDF 1,661 519
Figure 1,784 0
Table 210 0
Supplemental data 200 1
Citation downloads 283 0
Totals 12,454 2,054
Total Views 14,508

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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Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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