• Medientyp: E-Artikel
  • Titel: Is Computed-Tomography-Based Body Composition a Reliable Predictor of Chemotherapy-Related Toxicity in Pancreatic Cancer Patients?
  • Beteiligte: Cefalì, Marco; Scala, Isabel; Pavone, Giuliana; Helbling, Daniel; Hussung, Saskia; Fritsch, Ralph; Reiner, Cäcilia; Stocker, Soleen; Koeberle, Dieter; Kissling, Marc; Chianca, Vito; Del Grande, Filippo; De Dosso, Sara; Rizzo, Stefania
  • Erschienen: MDPI AG, 2023
  • Erschienen in: Cancers, 15 (2023) 17, Seite 4398
  • Sprache: Englisch
  • DOI: 10.3390/cancers15174398
  • ISSN: 2072-6694
  • Schlagwörter: Cancer Research ; Oncology
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: Background: Malnutrition, loss of weight and of skeletal muscle mass are frequent in pancreatic cancer patients, a majority of which will undergo chemotherapy over the course of their disease. Available data suggest a negative prognostic role of these changes in body composition on disease outcomes; however, it is unclear whether tolerance to chemotherapeutic treatment is similarly and/or negatively affected. We aimed to explore this association by retrospectively assessing changes in body composition and chemotherapy-related toxicity in a cohort of advanced pancreatic cancer patients. Methods: Body composition was evaluated through clinical parameters and through radiological assessment of muscle mass, skeletal muscle area, skeletal muscle index and skeletal muscle density; and an assessment of fat distribution by subcutaneous adipose tissue and visceral adipose tissue. We performed descriptive statistics, pre/post chemotherapy comparisons and uni- and multivariate analyses to assess the relation between changes in body composition and toxicity. Results: Toxicity risk increased with an increase of skeletal muscle index (OR: 1.03) and body mass index (OR: 1.07), whereas it decreased with an increase in skeletal muscle density (OR: 0.96). Multivariate analyses confirmed a reduction in the risk of toxicity only with an increase in skeletal muscle density (OR: 0.96). Conclusions: This study suggests that the retrospective analysis of changes in body composition is unlikely to be useful to predict toxicity to gemcitabine—nab-paclitaxel.
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