CACHEXIO: Evaluation of body composition changes and immunotherapy in patients with metastatic cancer.

209 Background: Given body composition predicts toxicity for patients receiving cytotoxic chemotherapy, we explored changes in body composition and biomarkers as predictors of immune-related adverse events (irAEs) and health care utilization. Methods: We conducted a longitudinal study of patients with metastatic solid tumor receiving immunotherapy (07/2014-10/2017). Eligible patients had a computed tomography (CT) scan prior to first-line immunotherapy with at least two additional CT scans at three, six or nine months after immunotherapy initiation. We analyzed body composition using cross-sectional CT scans at the third lumbar vertebra. We utilized mixed effect linear regression models to assess longitudinal changes in body composition (weight, skeletal muscle, total adipose). We examined associations of baseline body composition and biomarkers (albumin, neutrophil-lymphocyte ratio (NLR)) with the incidence of irAEs and healthcare utilization (hospitalizations/ED visits) using logistic regression. Results: Of 140 patients treated with immunotherapy, 61 met inclusion criteria. The majority (80%) received prior chemotherapy and the most common malignancies included lung (26%), head and neck (20%), and melanoma (20%). We found that one-third (n=19) experienced an irAE and colitis (53%) was the most common irAE. Patients experienced substantial weight loss over time (B= -1.88, p<0.001) with a decrease both in skeletal muscle (B= -3.08, p=0.001) and total adipose tissue (B =-50.44, p<0.001). We found greater skeletal muscle at baseline was associated with lower risk of health care utilization (OR 0.98, 95% CI: 0.965-0.998, p=0.03). We observed no association with biomarkers and/or body composition variables with irAEs or health care utilization. Conclusions: Patients with metastatic cancer receiving immunotherapy lose weight including skeletal muscle and adipose tissue. Aside from higher baseline skeletal muscle predicting less health care utilization, we did not observe any other associations between body composition changes and irAEs or health care utilization.

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Body composition and treatment-related toxicity in pediatric lymphoma.

Journal of Clinical Oncology ◽

10.1200/jco.2020.38.15_suppl.e22503 ◽

2020 ◽

Vol 38 (15_suppl) ◽

pp. e22503-e22503

Author(s):

Aman Wadhwa ◽

Kandice Barnett ◽

Chen Dai ◽

Joshua Richman ◽

Andrew Michael McDonald ◽

...

Keyword(s):

Skeletal Muscle ◽

Body Composition ◽

Adipose Tissue ◽

Age At Diagnosis ◽

Muscle Quality ◽

Ct Scans ◽

Hematologic Toxicity ◽

Cancer Type ◽

Skeletal Muscle Index ◽

Grade 3

e22503 Background: Body composition is an emerging predictor of toxicity and survival in older adults with cancer ( Shachar, Eur J Can, 2016); however, its role in pediatric cancer is not known. We examined body composition (using computed-tomography [CT] scans at the 3rd lumbar level) in children with lymphoma (Hodgkin [HL] and non-Hodgkin [NHL]) at cancer diagnosis and examined its association with treatment-related toxicities. Methods: We constructed a retrospective cohort of 87 consecutive children (HL: n = 45; NHL: n = 42) diagnosed between 2000 and 2015 (2-21y at diagnosis) with pretreatment abdominal CT scans. Body composition was assessed using sliceOmatic (TomoVision) and included skeletal muscle index (SMI, cm2/m2), skeletal muscle density (SMD: Hounsfield units [HU]), and height-adjusted total adipose tissue (hTAT: sum of visceral, intramuscular and subcutaneous adipose tissue, cm2/m2). For the analysis, we used skeletal muscle gauge (SMG = SMI x SMD, expressed per 1000 in arbitrary units [AU]) and hTAT. Sociodemographics, disease and treatment details, as well as toxicities (CTCAE v5) were abstracted from medical records. Proportion of chemotherapy cycles with grade 4 hematologic or grade 3-4 non-hematologic toxicities were calculated (percent toxicity). Generalized linear regression models were constructed to examine associations between body composition metrics and toxicities, adjusting for age at diagnosis, gender, race/ethnicity and lymphoma subtype. Results: Median age at diagnosis was 12.9y (range, 2-18.5y); 60.9% males; 60.4% non-Hispanic white. Median BMI%ile was 62 (0-99), median SMG was 2.2AU (0.9-3.7) and median hTAT was 20.1 cm2/m2 (0.04-226.7). Overall, the mean percent toxicity for grade 4 hematologic and grade 3-4 non-hematologic toxicity was 38.9% (±32.6) and 31.4% (±32.6) respectively. Correlation was poor between SMG and BMI%ile ( R2= 0.04), SMG and hTAT ( R2= -0.01) and moderate between hTAT and BMI%ile ( R2= 0.4). SMG was significantly associated with grade 4 hematologic percent toxicity ( β= -18, P= 0.007) after adjusting for hTAT and cancer type. BMI%ile was not associated with grade 4 hematologic percent toxicity ( β= -0.09, P= 0.5). Non-hematologic percent toxicity was not associated with BMI%ile, hTAT or SMG. Conclusions: In this first study of its kind, we find that children with poorer muscle quality are more likely to experience grade 4 hematologic toxicities. These findings form the basis for larger studies to incorporate body composition when developing prediction models for chemotherapy-related toxicity and disease outcomes.

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