ArticleSkeletal muscle2020
A novel transplantable model of lung cancer-associated tissue loss and disrupted muscle regeneration.
Article in Skeletal muscle, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 16 citations in OpenAlex.
- Pancreatic Cancer-Derived Extracellular Vesicles Enriched with miR-223-5p Promote Skeletal Muscle Wasting Associated with Cachexia.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Early adipose tissue wasting in a preclinical model of human lung cancer cachexia.Cell reports · 2025Article
- Histidine decarboxylase inhibition attenuates cancer-associated muscle wasting.The Journal of experimental medicine · 2025Article
- Amelioration of Cancer Cachexia byNutrients · 2024Article
- Hepatic signal transducer and activator of transcription-3 signalling drives early-stage pancreatic cancer cachexia via suppressed ketogenesis.Journal of cachexia, sarcopenia and muscle · 2024Article
- A TGF-β/KLF10 signaling axis regulates atrophy-associated genes to induce muscle wasting in pancreatic cancer.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- A novel orthotopic mouse model replicates human lung cancer cachexia.Journal of cachexia, sarcopenia and muscle · 2023Article
- Molecular signatures of inherited and acquired sporadic late onset nemaline myopathies.Acta neuropathologica communications · 2023Article
- Anticachectic regulator analysis reveals Perp-dependent antitumorigenic properties of 3-methyladenine in pancreatic cancer.JCI insight · 2022Article
- Review
- Nutrition challenges of cancer cachexia.JPEN. Journal of parenteral and enteral nutrition · 2021Review
- Disrupted NOS2 metabolism drives myoblast response to wasting-associated cytokines.Experimental cell research · 2021Article
- Use of gene expression profile to identify potentially relevant transcripts to myofibrillar fragmentation index trait.Functional & integrative genomics · 2020Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundCancer-associated muscle wasting (CAW), a symptom of cancer cachexia, is associated with approximately 20% of lung cancer deaths and remains poorly characterized on a mechanistic level. Current animal models for lung cancer-associated cachexia are limited in that they (1) primarily employ flank transplantation methods, (2) have short survival times not reflective of the patient condition, and (3) are typically performed in young mice not representative of mean patient age. This study investigates a new model for lung cancer-associated cachexia that can address these issues and also implicates muscle regeneration as a contributor to CAW.
methodsWe used tail vein injection as a method to introduce tumor cells that seed primarily in the lungs of mice. Body composition of tumor-bearing mice was longitudinally tracked using NMR-based, echo magnetic resonance imaging (echoMRI). These data were combined with histological and molecular assessments of skeletal muscle to provide a complete analysis of muscle wasting.
resultsIn this new lung CAW model, we observed (1) progressive loss in whole body weight, (2) progressive loss of lean and fat mass, (3) a circulating cytokine/inflammatory profile similar to that seen in other models of CAW, (4) histological changes associated with muscle wasting, and (5) molecular changes in muscle that implicate suppression of muscle repair/regeneration. Finally, we show that survival can be extended without lessening CAW by titrating injected cell number.
conclusionsOverall, this study describes a new model of CAW that could be useful for further studies of lung cancer-associated wasting and accompanying changes in the regenerative capacity of muscle. Additionally, this model addresses many recent concerns with existing models such as immunocompetence, tumor location, and survival time.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.