ArticleInternational journal of clinical oncology2019
Body composition as a predictor of toxicity after treatment with eribulin for advanced soft tissue sarcoma.
Article in International journal of clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Body composition as a predictor of chemotherapy-related toxicity in ovarian cancer patients: A systematic review.Frontiers in oncology · 2022Pooled it
- Efficacy of Eribulin in Soft Tissue Sarcomas.Frontiers in pharmacology · 2022Review
- Differences in the efficacy and safety of eribulin in patients with soft tissue sarcoma by histological subtype and treatment line.Molecular and clinical oncology · 2021Article
- The Predictive Value of Low Skeletal Muscle Mass Assessed on Cross-Sectional Imaging for Anti-Cancer Drug Toxicity: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2020Article
- Change in Body Weight and Serum Albumin Levels in Febrile Neutropenic Lung Cancer Patients.Asian/Pacific Island nursing journal · 2020Article
- Risk Factors for Eribulin-induced Severe Neutropenia in Patients With Recurrent Breast Cancer.In vivo (Athens, Greece)Article
Corrections and comments
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Authors and funding
16 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite the clinical benefits of eribulin on overall survival of advanced soft tissue sarcoma (STS) patients, treatment-related toxicity reduces their QOL. Body composition metrics (BCMs) are associated with poor outcome and drug toxicities in several cancers. This study investigated whether BCMs could predict drug toxicity occurrence in advanced STS patients treated with eribulin.
methodsThis study included 23 advanced STS patients treated with eribulin between March 2016 and April 2018. BCMs were evaluated using a CT scan obtained within 1 month before or after treatment initiation. The relationship of BCMs and other clinical factors was evaluated and CART analysis used to develop classification models for risk groups of drug toxicity.
resultsSixteen patients (69.6%) experienced any grade 3/4 toxicity. Eleven patients (47.8%) developed G4 hematologic toxicity, which was significantly higher in those with low skeletal muscle gauge (SMG) (P = 0.02) and low pretreatment neutrophil count (P = 0.0002). Six patients (26.1%) had grade 3/4 non-hematologic toxicity, and was higher in those with low SMG (P = 0.004), and low serum albumin level (P = 0.02). Five patients with high BMI (P = 0.03) experienced febrile neutropenia (FN) and low pretreatment neutrophil count (P = 0.02). CART analysis classified three risk groups, and area under the receiver operating characteristic curve (AUROCC) was 0.92, 0.88, 0.92 in G4 hematologic AE, G3/4 non-hematologic AE, FN, respectively.
conclusionsSMG is a significant predictive factor of eribulin drug toxicity in advanced STS patients. Risk classification of drug toxicity through combining predictive factors, could improve the therapeutic strategy used in chemotherapy.
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