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Next generation sequencing of cell-free DNA (cfDNA) is a promising method for treatment monitoring and therapy selection in metastatic breast cancer (MBC). However, distinguishing tumor-specific variants from sequencing artefacts and germline variation with low false discovery rate is challenging when using large targeted sequencing panels covering many tumor suppressor genes. To address this, we built a machine learning model to remove false positive variant calls and augmented it with additional filters to ensure selection of tumor-derived variants. We used cfDNA of 70 MBC patients profiled with both the small targeted Oncomine breast panel (Thermofisher) and the much larger Qiaseq Human Breast Cancer Panel (Qiagen). The model was trained on the panels' common regions using Oncomine hotspot mutations as ground truth. Applied to Qiaseq data, it achieved 35% sensitivity and 36% precision, outperforming basic filtering. For 20 patients we used germline DNA to filter for somatic variants and obtained 245 variants in total, while our model found seven variants, of which six were also detected using the germline strategy. In ten tumor-free individuals, our method detected in total one (potentially germline) variant, in contrast to 521 variants detected without our model. These results indicate that our model largely detects somatic variants. [ABSTRACT FROM AUTHOR]

Purpose: Delayed chemotherapy-induced nausea and vomiting (CINV) remains an important adverse effect of moderately emetogenic chemotherapy not containing anthracyclines and cyclophosphamide (non-AC MEC). In this review, we summarize current literature to update recommendations for delayed CINV prophylaxis after non-AC MEC.Methods: We conducted a systematic search in PubMed and conference proceedings from ASCO, ESMO, and MASCC. Included randomized controlled trials (RCTs) aimed to prospectively evaluate the efficacy of two or more antiemetic strategies in the prevention of delayed CINV after the administration of non-AC MEC. At least one of the following endpoints was used: complete response, complete control, no nausea, no vomiting, and/or no use of rescue medication.Results: Our search provided 247 publications. Nine met the predefined criteria. Included RCTs reported outcomes on palonosetron, aprepitant, casopitant, netupitant/palonosetron (NEPA), olanzapine, and megestrol acetate.Conclusions: Superiority of palonosetron over first-generation 5-HT3 receptor antagonists for the prevention of acute and delayed CINV after non-AC MEC has not been proven. The addition of an NK1 receptor antagonist to first-generation 5-HT3 receptor antagonists does not significantly improve the incidence of delayed CINV after non-AC MEC. The efficacy of a single-day regimen of dexamethasone with palonosetron is non-inferior to multiday dexamethasone. NEPA, olanzapine, and megestrol acetate show highly effective complete response (CR) rates. [ABSTRACT FROM AUTHOR]

To better understand the mechanisms underlying (in)sensitivity of tumors to anticancer drugs, assessing intra-tumor drug pharmacokinetics (PKs) could be important. We explored the feasibility of microdialysis in tumor tissue for multiple days in a clinical setting, using carboplatin as model drug. Plasma and microdialysate samples from tumor and adipose normal tissues were collected up to 47 h after dosing in eight carboplatin-treated patients with an accessible (sub)cutaneous tumor. Pharmacokinetics were evaluable in tumor tissue in 6/8 patients and in adipose normal tissue in 3/8 patients. Concentration–time curves of unbound platinum in both the tissues followed the pattern of the curves in plasma, with exposure ratios of tissue versus plasma ranging from 0.64 to 1.46. Microdialysis can be successfully employed in ambulant patients for multiple days, which enables one to study tissue PK of anticancer drugs in normal and malignant tissues in more detail. [ABSTRACT FROM AUTHOR]