Original articleSkeletal muscle radiodensity is prognostic for survival in patients with advanced non-small cell lung cancer
Introduction
In advanced cancer, estimates of individual patients' survival are essential for several reasons. These estimates are needed to select the appropriate treatment approach, provide adequate patient information, enable advance care planning, and ensure timely provided palliative care. This is particularly relevant for patients with a poor prognosis such as advanced non-small-cell lung cancer (NSCLC) patients.
NSCLC accounts for approximately 85% of new cases of lung cancer, the leading cause of cancer deaths worldwide [1]. The majority is diagnosed with advanced disease [2], and median overall survival is relatively short [3], [4], [5]. Although several prognostic factors have been identified in advanced NSCLC, performance status (PS) remains the cornerstone to guide treatment decisions in daily clinical practice [6]. There are, however, large variations in survival within each PS group, and to improve outcomes and avoid both over- and undertreatment, there is a need for more precise prognostic factors.
Cachexia, a wasting syndrome linked to loss of weight and appetite, is believed to account for 20% of cancer related deaths [7], and is frequent in NSCLC [8]. Severe muscular depletion is a more recently recognised indicator of cachexia and appears to be a strong negative prognostic factor in ageing, several chronic diseases [9], as well as in malignancies, irrespective of cancer diagnosis, stage and treatment [10]. The majority of cancer studies hitherto performed are, however, small and the most convincing evidence arises from colorectal cancer, hepatocellular carcinoma and other gastrointestinal cancers [10], [11], [12], [13]. From two studies on mixed samples there are also indications that severe loss of muscle mass may be predictive of survival in lung cancer [13], [14].
In studies on cancer patients, muscle mass has been quantified by the cross sectional muscle area on computed tomography (CT) scans, and severe loss of muscle mass is referred to by the term sarcopenia. There is to date no general agreement of cut points to define this entity [10]. To discriminate between sarcopenic and non-sarcopenic patients, survival related thresholds identified in the cohort under investigation have been used [12], [13], [14], [15], [16]. General muscularity varies with several factors including ethnicity, age, gender and prevalence of obesity, and the identified thresholds seem to vary accordingly between populations [12], [13], [14], [15], [16].
In non-cancer settings, the definition of sarcopenia has been expanded to include both muscle mass and function [17]. Hence the quality of the muscle mass in general and the skeletal muscle radiodensity (SMD) in particular has received attention [18]. Assessed by CT imaging, SMD is expressed as the mean Hounsfield Units (HU) of a measured cross sectional muscle area. Low values reflect increased fat deposits, and have been linked to obesity, diabetes and several negative outcomes in non-cancer patients, including reduced physical performance and increased risk of hip fracture [19]. Relatively recent studies have suggested that low SMD may also be a significant prognostic factor in cancer patients [13], [20], [21], [22]. As for sarcopenia, there are no well-established thresholds to define abnormally low SMD [19].
The main aim of the present study was to test the hypothesis that measures of muscle mass and muscle radiodensity are independent prognostic factors for overall survival in advanced NSCLC patients receiving first line palliative chemotherapy, and hence are factors that should be considered in clinical practice to improve prognostic estimates.
Section snippets
Patients
The study is based on three multicentre randomised controlled trials (RCTs) comparing first-line chemotherapy-regimens in advanced NSCLC [3], [4], [5]. Overall survival (OS), quality of life (QoL) and toxicity were the main endpoints. Disease free and progression free survival were not systematically registered. The main inclusion criteria were similar: chemonaive patients, age ≥ 18 years, stage IIIB/IV and performance status (PS) 0–2. RCT 1 (September 2003 to December 2004, n = 432) randomised
Study population and general characteristics
Baseline CT scans were collected from 1119 patients (86%), but 348 scans were not available for body composition analyses at the level of L3 (Fig. 1). Another 37 patients were excluded due to missing data, leaving 734 patients for the present analyses (Fig. 1). Most missing CT scans were from the earliest study (RCT 1, n = 174) as they were stored on film and not analysable.
Baseline characteristics of the included and excluded cohorts were compared (Table 1). The included patients comprised a
Discussion
To our best knowledge, this is the first study investigating the prognostic value of skeletal muscle radiodensity (SMD) in a cohort of NSCLC only. It is also one of the largest studies hitherto published on CT-defined muscle measures in cancer. In these Norwegian patients with advanced disease, the multivariable analyses showed that SMD was a significant independent prognostic factor for overall survival, whereas muscle mass measured by the cross sectional muscle area at the lumbar level, and
Conflicts of interest
There are no conflicts of interests connected to the manuscript.
Source of funding
The study was funded by South-Eastern Norway Regional Health Authority (2010094). The collection of CT scans was supported by unrestricted grants from Pierre Fabre, Norway. The Canadian participation in the body composition analyses was supported by the Canadian Institute of Health Research and Alberta Cancer Foundation.
Acknowledgements
We want to thank Rachel Murphy (PhD) and Nina Esfandiari (B.Sc) both at Dept of Oncology, University of Alberta, Canada, for their participation in the body composition analyses. Thanks to Nina Helbekkmo and Ingrid Sandstad for handling the collection of CT scans from the RCT1. We also thank the Departments of Radiology at Haukeland University Hospital, Bergen, St Olav University Hospital, Trondheim and Hamar, Gjøvik and Kongsvinger Hospital, Innlandet Hospital HF, as well as the following and
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