Affiliation:
1. Département de médecine familiale et de médecine d'urgence, Centre de recherche sur le cancer Université Laval, Centre de recherche du CHU de Québec Québec Canada
2. Division of Clinical Epidemiology McGill University Health Centre Montreal Canada
3. Department of Health, Kinesiology, and Applied Physiology Concordia University Montreal Canada
4. Clinical and Evaluative Research Platform Université Laval, Centre de recherche du CHU de Québec Québec Canada
5. Cura Therapeutics NEOMED Institute Saint‐Laurent Canada
6. Rosalind and Morris Goodman Cancer Institute McGill University Montreal Canada
7. Departments of Medicine and Family and Community Medicine University of Toronto Toronto Canada
8. Department of Family Medicine McMaster University Hamilton Canada
Abstract
AbstractBackgroundThe interdependence of cytokines and appetite‐modifying hormones implicated in cancer anorexia‐cachexia syndrome (CACS) remains unclear. This study aimed to regroup these cytokines and hormones into distinct inflammatory (or non‐inflammatory) pathways and determine whether these pathways can classify patients with CACS phenotypes.MethodsClinical characteristics of 133 patients [61.7% male; mean age = 63.4 (SD: 13.1) years] with advanced cancer prior to oncology treatments were documented, including weight loss history. Patients completed the Functional Assessment of Anorexia‐Cachexia Therapy (FAACT) questionnaire and Timed Up and Go test and had their sex‐standardized skeletal muscle index (z‐SMI) and fat mass index (z‐FMI) derived using computed tomography scans. Their plasma levels of cytokines and appetite‐modifying hormones were also determined. Date of death was recorded. Exploratory factor analysis (EFA) was used to regroup 15 cytokines and hormone into distinct inflammatory pathways (factors). For each patient, regression factor scores (RFS), which tell how strongly the patient associates with each factor, were derived. Two‐step cluster analysis on the RFS was used to classify patients into groups. CACS phenotypes were correlated with RFS and compared between groups. Groups' survival was estimated using Kaplan–Meier analysis.ResultsPatients had low z‐SMI (mean = −3.78 cm2/m2; SD: 8.88) and z‐FMI (mean = 0.08 kg2/m2; SD: 56.25), and 62 (46.6%) had cachexia. EFA identified three factors: (F‐1) IFN‐γ, IL‐1β, Il‐4, IL‐6, IL‐10, IL‐12, TGFβ1 (positive contribution), and IL‐18 (negative); (F‐2) IL‐8, IL‐18, MCP‐1, TGFβ1, TNF‐α (positive), and ghrelin (negative); and (F‐3) TRAIL and leptin (positive), and TGFβ1 and adiponectin (negative). RFS‐1 was associated with cachexia (P = 0.002); RFS‐2, with higher CRP (P < 0.0001) and decreased physical function (P = 0.01); and RFS‐3 with better appetite (P = 0.04), lower CRP (P = 0.002), higher z‐SMI (P = 0.04) and z‐FMI (P < 0.0001), and less cachexia characteristics (all P < 0.001). Four patient groups were identified with specific RFS clusters aligning with the CACS continuum from no cachexia to pre‐cachexia, cachexia, and terminal cachexia. Compared to the other two groups, groups 1 and 2 had higher plasma levels of IL‐18 and TRAIL. Group 1 also had lower inflammatory cytokines, adiponectin, and CRP compared to the other three groups. Group 3 had inflammatory cytokine levels similar to group 2, except for TNF‐α and leptin which were lower. Group 4 had very high inflammatory cytokines, adiponectin, and CRP compared to the other 3 groups (all P < 0.0001). Groups 3 and 4 had worse cachexia characteristics (P < 0.05) and shorter survival (log rank: P = 0.0009) than the other two groups.ConclusionsThis exploratory study identified three distinct pathways of inflammation, or lack thereof, characterizing different CACS phenotypes.
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