» Articles » PMID: 28261113

Validation of the CAchexia SCOre (CASCO). Staging Cancer Patients: The Use of MiniCASCO As a Simplified Tool

Overview
Journal Front Physiol
Date 2017 Mar 7
PMID 28261113
Citations 27
Authors
Affiliations
Soon will be listed here.
Abstract

The CAchexia SCOre (CASCO) was described as a tool for the staging of cachectic cancer patients. The aim of this study is to show the metric properties of CASCO in order to classify cachectic cancer patients into three different groups, which are associated with a numerical scoring. The final aim was to clinically validate CASCO for its use in the classification of cachectic cancer patients in clinical practice. We carried out a case -control study that enrolled prospectively 186 cancer patients and 95 age-matched controls. The score includes five components: (1) body weight loss and composition, (2) inflammation/metabolic disturbances/immunosuppression, (3) physical performance, (4) anorexia, and (5) quality of life. The present study provides clinical validation for the use of the score. In order to show the metric properties of CASCO, three different groups of cachectic cancer patients were established according to the results obtained with the statistical approach used: mild cachexia (15 ≤ × ≤ 28), moderate cachexia (29 ≤ × ≤ 46), and severe cachexia (47 ≤ × ≤ 100). In addition, a simplified version of CASCO, MiniCASCO (MCASCO), was also presented and it contributes as a valid and easy-to-use tool for cachexia staging. Significant statistically correlations were found between CASCO and other validated indexes such as Eastern Cooperative Oncology Group (ECOG) and the subjective diagnosis of cachexia by specialized oncologists. A very significant estimated correlation between CASCO and MCASCO was found that suggests that MCASCO might constitute an easy and valid tool for the staging of the cachectic cancer patients. CASCO and MCASCO provide a new tool for the quantitative staging of cachectic cancer patients with a clear advantage over previous classifications.

Citing Articles

Development of a health-tracking tool for the Brazilian population: a pilot study with Brazilian women.

Vieira de Mello Barros Pimentel C, Andrade M, de Castro Coelho M, Pereira-Lancha L, Tarifa A, Ribeiro J BMC Public Health. 2025; 25(1):860.

PMID: 40038649 PMC: 11877963. DOI: 10.1186/s12889-025-22102-x.


Pan-cancer secreted proteome and skeletal muscle regulation: insight from a proteogenomic data-driven knowledge base.

Parry T, Gilmore L, Khamoui A Funct Integr Genomics. 2025; 25(1):14.

PMID: 39812750 DOI: 10.1007/s10142-024-01524-7.


Extracellular vesicles in tumor-adipose tissue crosstalk: key drivers and therapeutic targets in cancer cachexia.

Ramos C, Pires J, Gonzalez E, Garcia-Vallicrosa C, Reis C, Falcon-Perez J Extracell Vesicles Circ Nucl Acids. 2024; 5(3):371-396.

PMID: 39697630 PMC: 11648493. DOI: 10.20517/evcna.2024.36.


Understanding cachexia and its impact on lung cancer and beyond.

Yue M, Qin Z, Hu L, Ji H Chin Med J Pulm Crit Care Med. 2024; 2(2):95-105.

PMID: 39169934 PMC: 11332896. DOI: 10.1016/j.pccm.2024.02.003.


Leveraging real-world data to predict cancer cachexia stage, quality of life, and survival in a racially and ethnically diverse multi-institutional cohort of treatment-naïve patients with pancreatic ductal adenocarcinoma.

Permuth J, Park M, Chen D, Basinski T, Powers B, Gwede C Front Oncol. 2024; 14:1362244.

PMID: 39109281 PMC: 11300308. DOI: 10.3389/fonc.2024.1362244.


References
1.
Bozzetti F, Mariani L . Defining and classifying cancer cachexia: a proposal by the SCRINIO Working Group. JPEN J Parenter Enteral Nutr. 2008; 33(4):361-7. DOI: 10.1177/0148607108325076. View

2.
Plank L . Dual-energy X-ray absorptiometry and body composition. Curr Opin Clin Nutr Metab Care. 2005; 8(3):305-9. DOI: 10.1097/01.mco.0000165010.31826.3d. View

3.
Argiles J, Anker S, Evans W, Morley J, Fearon K, Strasser F . Consensus on cachexia definitions. J Am Med Dir Assoc. 2010; 11(4):229-30. DOI: 10.1016/j.jamda.2010.02.004. View

4.
Bourdel-Marchasson I, Diallo A, Bellera C, Blanc-Bisson C, Durrieu J, Germain C . One-Year Mortality in Older Patients with Cancer: Development and External Validation of an MNA-Based Prognostic Score. PLoS One. 2016; 11(2):e0148523. PMC: 4747505. DOI: 10.1371/journal.pone.0148523. View

5.
Ellis K . Human body composition: in vivo methods. Physiol Rev. 2000; 80(2):649-80. DOI: 10.1152/physrev.2000.80.2.649. View