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Cited by 273

The DOI matches its Crossref record; 123 of the 123 references it cites were found in a registry or an index.

Cancer Cachexia: Mechanisms and Clinical Implications

Open access
Donohoe, Claire L., Ryan, Aoife M., Reynolds, John V.·2011·Gastroenterology Research and Practice

Abstract

Cachexia is a multifactorial process of skeletal muscle and adipose tissue atrophy resulting in progressive weight loss. It is associated with poor quality of life, poor physical function, and poor prognosis in cancer patients. It involves multiple pathways: procachectic and proinflammatory signals from tumour cells, systemic inflammation in the host, and widespread metabolic changes (increased resting energy expenditure and alterations in metabolism of protein, fat, and carbohydrate). Whether it is primarily driven by the tumour or as a result of the host response to the tumour has yet to be fully elucidated. Cachexia is compounded by anorexia and the relationship between these two entities has not been clarified fully. Inconsistencies in the definition of cachexia have limited the epidemiological characterisation of the condition and there has been slow progress in identifying therapeutic agents and trialling them in the clinical setting. Understanding the complex interplay of tumour and host factors will uncover new therapeutic targets.

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Metadata

Authors
Donohoe, C. L., Ryan, A. M., & Reynolds, J. V.
Venue
Gastroenterology Research and Practice
Published
2011
Volume
2011
Pages
1-13
ISSN
  • 1687-6121 (ISSN-L)
  • 1687-630X
OpenAlex
W2028849454
Cited by
273
References
123
FWCI
8.47
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Cancer Cachexia: Mechanisms and Clinical Implications. https://app.cochat.ai/papers/10.1155/2011/601434
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Donohoe, C. L., Ryan, A. M., & Reynolds, J. V. (2011). Cancer Cachexia: Mechanisms and Clinical Implications. Gastroenterology Research and Practice. https://doi.org/10.1155/2011/601434

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.