Are CT-Derived Muscle Measurements Prognostic, Independ-ent of Systemic Inflammation, in Good Performance Status Pa-tients with Advanced Cancer?

Author:

McGovern Josh1,Dolan Ross D.1ORCID,Simmons Claribel2,Daly Louise E.3,Ryan Aoife M.3,Power Derek G.4,Fallon Marie T.2,Laird Barry J.2,McMillan Donald C.1

Affiliation:

1. Academic Unit of Surgery, New Lister Building, Royal Infirmary, Glasgow G31 2ER, UK

2. Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK

3. Cork Cancer Research Centre, University College Cork, T12 YN60 Cork, Ireland

4. Department of Medical Oncology, Mercy and Cork University Hospital, T12 DC4A Cork, Ireland

Abstract

The present study examined the relationships between CT-derived muscle measurements, systemic inflammation, and survival in advanced cancer patients with good performance status (ECOG-PS 0/1). Data was collected prospectively from patients with advanced cancer undergoing anti-cancer therapy with palliative intent. The CT Sarcopenia score (CT-SS) was calculated by combining the CT-derived skeletal muscle index (SMI) and density (SMD). The systemic inflammatory status was determined using the modified Glasgow Prognostic Score (mGPS). The primary outcome of interest was overall survival (OS). Univariate and multivariate Cox regressions were used for survival analysis. Three hundred and seven patients met the inclusion criteria, out of which 62% (n = 109) were male and 47% (n = 144) were ≥65 years of age, while 38% (n = 118) were CT-SS ≥ 1 and 47% (n = 112) of patients with pre-study blood were inflamed (mGPS ≥ 1). The median survival from entry to the study was 11.1 months (1–68.1). On univariate analysis, cancer type (p < 0.05) and mGPS (p < 0.001) were significantly associated with OS. On multivariate analysis, only mGPS (p < 0.001) remained significantly associated with OS. In patients who were ECOG-PS 0, mGPS was significantly associated with CT-SS (p < 0.05). mGPS may dominate the prognostic value of CT-derived sarcopenia in good-performance-status patients with advanced cancer.

Funder

CSO/NES

Publisher

MDPI AG

Subject

Cancer Research,Oncology

Reference29 articles.

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2. Prognostic Tools in Patients with Advanced Cancer: A Systematic Review;Simmons;J. Pain Symptom Manag.,2017

3. Computed tomography-derived body composition analysis in patients with advanced cancer: Clinical utility and future research;Abbass;Curr. Opin. Support. Palliat. Care,2020

4. Computed tomography-defined low skeletal muscle index and density in cancer patients: Observations from a systematic review;McGovern;J. Cachex Sarcopenia Muscle,2021

5. A tale of two CT studies: The combined impact of multiple human body composition projects in cancer;Skipworth;J. Cachex Sarcopenia Muscle,2019

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