Predictors for doxorubicin-induced hematological toxicity and its association with outcome in advanced soft tissue sarcoma patients; a retrospective analysis of the EORTC-soft tissue and bone sarcoma group database

Introduction: As both anti-tumour effects and toxicity are thought to be dose-dependent, patients with the greatest toxicity may also have the best outcome. We assessed whether severity of doxorubicin-induced hematological toxicity is associated with outcome in advanced soft tissue sarcoma (STS) patients. In addition, risk factors for hematological toxicity were explored. Methods: Worst haematological toxicities (anaemia, leukopenia, neutropenia and thrombocytopenia) seen during treatment were scored according to CTCAE toxicity score. Differences in overall survival (OS), progression free survival (PFS) and response rate (RR) between patients with or without high haematological toxicity (grades 0–2 vs. 3–4) were assessed using conventional statistical tests. Associations between baseline characteristics and hematological toxicity were established using logistic multivariate regression. Results: In 557 patients eligible for this analysis, 47.2% of the patients received at least six cycles of treatment; 45% stopped treatment early due to progression, 3% because of toxicity. Relative dose intensity (RDI) was constant over the cycles. OS, PFS, and RR did not differ between patients with grade 3/4 toxicity during treatment versus those with grade 1/2. Risk factors for grade 3/4 haematological toxicity, in particular neutropenia, were age above 60 years, low BMI, and female gender. Conclusion: In this large series, risk factors for haematological toxicity in STS patients receiving doxorubicin monotherapy were revealed. The finding that there was no association between outcome and haematological toxicity during doxorubicin treatment may be useful to reassure advanced STS patients that failure to experience haematological toxicity during treatment does not equate to under-treatment

An update on the management of sporadic desmoid-type fibromatosis: A European Consensus Initiative between Sarcoma PAtients EuroNet (SPAEN) and European Organization for Research and Treatment of Cancer (EORTC)/Soft Tissue and Bone Sarcoma Group (STBSG)

Desmoid-type fibromatosis is a rare and locally aggressive monoclonal, fibroblastic proliferation characterized by a variable and often unpredictable clinical course. Currently, there is no established or evidence-based treatment approach available for this disease. Therefore, in 2015 the European Desmoid Working Group published a position paper giving recommendations on the treatment of this intriguing disease. Here, we present an update of this consensus approach based on professionals' AND patients' expertise following a round table meeting bringing together sarcoma experts from the European Organization for Research and Treatment of Cancer/Soft Tissue and Bone Sarcoma Group with patients and patient advocates from Sarcoma PAtients EuroNet. In this paper, we focus on new findings regarding the prognostic value of mutational analysis in desmoid-type fibromatosis patients and new systemic treatment options

Effect of cigarette smoking on imatinib in patients in the soft tissue and bone sarcoma group of the EORTC

Purpose: Smoking is a potent inducer of cytochrome P450 (CYP) 1A2 and may affect the pharmacokinetics of CYP1A2 metabolized drugs. The effect of smoking on the pharmacokinetics of imatinib, which is metabolized by CYP3A4 and partly by CYP1A2, is unknown. We studied the effect of smoking on imatinib pharmacokinetics, safety, and efficacy. Experimental Design: Imatinib pharmacokinetics, safety, and efficacy was analyzed in 45 patients with gastrointestinal stromal tumors (GIST) or soft-tissue sarcoma included in two European Organisation for Research and Treatment of Cancer Soft Tissue and Bone Sarcoma Group trials, including 15 smokers and 30 nonsmokers. Apparent oral clearance, distribution volume, elimination half-life, and dose-standardized area under the concentration curve (AUC) were assessed in 34 patients using nonlinear mixed-effect modeling. Results