Body Weight Gain Associated With Alectinib in Patients With ALK+ Non-Small Cell Lung Cancer: Pooled Analysis of Individual Patient Data From Four Prospective Clinical Trials.

Sikkema, Barend J; Baart, Sara J; Paats, Marthe S; Smit, Egbert F; Schols, Annemie M W J; Mathijssen, Ron H J; van Rossum, Elisabeth F C; Dingemans, Anne-Marie C · J Clin Oncol · 2025

meta_analysis · Level I

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Abstract

Weight gain is a known adverse event (AE) of alectinib. This study evaluates the progression of actual weight gain over time and explores its association with baseline characteristics. A pooled analysis of individual patient data from four clinical trials (ALEX, J-ALEX, ALUR, and ML29453) was conducted. Actual weight gain was calculated as the percent change from baseline. A linear mixed model estimated weight change over time and associations between clinical characteristics and weight change. Follow-up weights were available for three trials (J-ALEX, ALUR, and ML29453) and missing for ALEX. In total, 2,622 weights were recorded in the first year (N = 302). At baseline, 13.6% of the Japanese population were underweight and 5.0% in the Western population. Actual weight gain of any grade was substantially higher than reported AE rates (49% <i>v</i> 5%), with 18% experiencing ≥10% weight gain (from median 55.6 kg to 64.1 kg). Time on alectinib was positively associated with weight change (β = .37; 95% CI, 0.24 to 0.51; <i>P</i> < .001), corresponding to an average increase of 4.4% over 1 year. Baseline BMI was not associated with weight change in J-ALEX (β = -.090 [95% CI, -0.19 to 0.012]; <i>P</i> = .092) and ALUR/ML29453 (β = -.016 [95% CI, -0.077 to 0.044]; <i>P</i> = .59). Baseline albumin was positively associated with weight change in ALUR/ML29453 (β = .084 [95% CI, 0.027 to 0.14]; <i>P</i> = .0045), although not considered a clinically meaningful predictor. Weight gain is under-reported as AE in trials. Actual weights showed ≥10% weight gain in 18% of patients. Clinicians should be aware of this AE, emphasizing the importance of timely identification and monitoring weight. Identifying predictors for weight gain remains challenging.

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