The Influence of Body Composition on the Systemic Exposure of Paclitaxel in Esophageal Cancer Patients.
Leni van DoornMarie-Rose B S CrombagHánah N RierJeroen L A van VugtCharlotte van KesterenSander BinsRon H J MathijssenMark-David LevinStijn L W KoolenPublished in: Pharmaceuticals (Basel, Switzerland) (2021)
Changes in body composition are associated with chemotherapy-related toxicities and effectiveness of treatment. It is hypothesized that the pharmacokinetics (PK) of chemotherapeutics may depend on body composition. The effects of body composition on the variability of paclitaxel PK were studied in patients with esophageal cancer. Skeletal muscle index (SMI), visceral adipose tissue (VAT), and skeletal muscle density (SMD) were measured at the third lumbar vertebra on computed tomography (CT) scans performed before treatment. Paclitaxel PK data were collected from a prospective study performed between May 2004 and January 2014. Non-linear mixed-effects modeling was used to fit paclitaxel PK profiles and evaluate the covariates body surface area (BSA), SMI, VAT, and SMD using a significance threshold of p < 0.001. Paclitaxel was administered to 184 patients in a dose range of 50 to 175 mg/m2. Median BSA was 1.98 m2 (range of 1.4 to 2.8 m2). SMI, VAT, and SMD were not superior to BSA in predicting paclitaxel PK. The additive value of SMI, VAT, and SMD to BSA was also negligible. We did not find evidence that paclitaxel dosing could be further optimized by correcting for SMI, VAT, or SMD.
Keyphrases
- body composition
- resistance training
- computed tomography
- skeletal muscle
- bone mineral density
- end stage renal disease
- adipose tissue
- insulin resistance
- ejection fraction
- newly diagnosed
- chemotherapy induced
- magnetic resonance imaging
- chronic kidney disease
- systematic review
- randomized controlled trial
- peritoneal dialysis
- prognostic factors
- positron emission tomography
- machine learning
- minimally invasive
- dual energy
- radiation therapy
- patient reported outcomes
- contrast enhanced
- magnetic resonance
- squamous cell carcinoma
- patient reported
- smoking cessation
- artificial intelligence