Usage Information
Abstract
Cachexia is a debilitating syndrome characterized by progressive skeletal muscle wasting, commonly affecting patients with cancer, particularly those with pancreatic cancer. Despite its clinical significance, the molecular mechanisms underlying cancer cachexia remain poorly understood. In this study, we utilized single-nucleus RNA-seq (snRNA-seq) and bulk RNA-seq, complemented by biochemical and histological analyses, to investigate molecular alterations in the skeletal muscle of the KPC mouse model of pancreatic cancer cachexia. Our findings demonstrated that KPC tumor growth induced myofiber-specific changes in the expression of genes involved in proteolytic pathways, mitochondrial biogenesis, and angiogenesis. Notably, tumor progression enhanced the activity of specific transcription factors that regulate the mTORC1 signaling pathway, along with genes involved in translational initiation and ribosome biogenesis. Skeletal muscle–specific, inducible inhibition of mTORC1 activity further exacerbated muscle loss in tumor-bearing mice, highlighting its protective role in maintaining muscle mass. Additionally, we uncovered new intercellular signaling networks within the skeletal muscle microenvironment during pancreatic cancer–induced cachexia. Our study reveals previously unrecognized molecular mechanisms that regulate skeletal muscle homeostasis, and it identifies potential therapeutic targets for the treatment of pancreatic cancer–associated cachexia.
Authors
Bowen Xu, Aniket S. Joshi, Meiricris Tomaz da Silva, Silin Liu, Ashok Kumar
Usage data is cumulative from January 2026 through June 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 2,270 | 0 |
| 570 | 0 | |
| Figure | 1,083 | 0 |
| Supplemental data | 411 | 0 |
| Citation downloads | 225 | 0 |
| Totals | 4,559 | 0 |
| Total Views | 4,559 | |
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.
