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Review Article | Open Access

A comprehensive review of animal models for cancer cachexia: Implications for translational research

Li Lia,bJunaid Wazira,bZhiqiang Huanga,bYong Wanga,b( )Hongwei Wanga,b( )
State Key Laboratory of Analytical Chemistry for Life Science, Medical School, Nanjing University, Nanjing, Jiangsu 210093, China
Center for Translational Medicine and Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing University, Nanjing, Jiangsu 210093, China

Peer review under responsibility of Chongqing Medical University.

Show Author Information

Abstract

Cancer cachexia is a multifactorial syndrome characterized by progressive weight loss and a disease process that nutritional support cannot reverse. Although progress has been made in preclinical research, there is still a long way to go in translating research findings into clinical practice. One of the main reasons for this is that existing preclinical models do not fully replicate the conditions seen in clinical patients. Therefore, it is important to understand the characteristics of existing preclinical models of cancer cachexia and pay close attention to the latest developments in preclinical models. The main models of cancer cachexia used in current research are allogeneic and xenograft models, genetically engineered mouse models, chemotherapy drug-induced models, Chinese medicine spleen deficiency models, zebrafish and Drosophila models, and cellular models. This review aims to revisit and summarize the commonly used animal models of cancer cachexia by evaluating existing preclinical models, to provide tools and support for translational medicine research.

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Genes & Diseases
Article number: 101080
Cite this article:
Li L, Wazir J, Huang Z, et al. A comprehensive review of animal models for cancer cachexia: Implications for translational research. Genes & Diseases, 2024, 11(6): 101080. https://doi.org/10.1016/j.gendis.2023.101080

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Received: 07 March 2023
Revised: 14 June 2023
Accepted: 24 July 2023
Published: 13 September 2023
© 2023 The Authors.

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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