1. The animal cachexia score (ACASCO)
- Author
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Angelica Betancourt, Sílvia Busquets, Marta Ponce, Míriam Toledo, Joan Guàrdia‐Olmos, Maribel Peró‐Cebollero, Francisco J. López‐Soriano, and Josep M. Argilés
- Subjects
anorexia ,cachexia ,classification ,physical performance ,quality of life ,score ,Medicine (General) ,R5-920 - Abstract
Abstract Background None of the published studies involving cancer cachexia experimental models have included a measure of the severity of the syndrome like the scoring system previously developed for human subjects. The aim of the present investigation was to define and validate a cachexia score usable in both rat and mouse tumor models. Methods In order to achieve this goal, we included in the study one rat model (Yoshida AH‐130ascites hepatoma) and two mouse models (Lewis lung carcinoma and Colon26 carcinoma). The Animal cachexia score (ACASCO) includes five components: (a) body and muscle weight loss, (b) inflammation and metabolic disturbances, (c) physical performance, (d) anorexia, and (e) quality of life measured using discomfort symptoms and behavioral tests. Results Using the ACASCO values, three cut‐off values were estimated by applying hierarchical cluster analysis. Four groups were originally described, one exactly below the observed mean, a second exactly over the mean, and two other groups adjusted to every cue (inferior and superior). The three cut‐off values were estimated through maximization of the classification function. This was accomplished by using a similarity matrix based on the metric properties of the variables and assuming multinormal distribution. The results show that the four groups were: no cachexia, mild cachexia, moderate cachexia and advanced cachexia. Conclusions The results obtained allow us to conclude that the score could be very useful as an endpoint in pre‐clinical studies involving therapeutic strategies for cancer cachexia. The potential usefulness of ACASCO relates to the primary endpoint in pre‐clinical cancer cachexia drug evaluations.
- Published
- 2019
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