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The risk of drug–drug interactions (DDI) has become a major issue in cancer patients. However, data in sarcoma patients are scarce. We aimed to evaluate the frequency and the factors associated with DDI with antitumor treatments, and to evaluate the impact of a pharmacist evaluation before anticancer treatment. We performed a retrospective review of consecutive sarcoma patients starting chemotherapy (CT) or Tyrosine kinase inhibitor (TKI). A pharmacist performed medication reconciliation and established an early toxicity risk assessment. Potential DDI with antitumor drugs were identified using Micromedex electronic software. One hundred and twenty-two soft-tissue and 80 bone sarcoma patients (103 males, median age 50 years,) were included before CT (86%) or TKI (14%). The median number of medications was 3; 34 patients (22% of patients with medication reconciliation) reported complementary medicine use. 37 potential DDI classified as major, were identified (12% of the 243 pre-therapeutic assessments). In multivariate analysis, TKI (p

This case report describes of a pharmacokinetic drug–drug interaction between crizotinib, a tyrosine kinase inhibitor, and sofosbuvir/velpatasvir, a direct-acting antiviral drug, leading to cardiac toxicity. A 75-year-old man, with no cardiovascular history but a diagnosis of metastatic non-small cell lung cancer with MET exon-14 deletion and hepatitis C virus infection genotype 1A, received both crizotinib and sofosbuvir/velpatasvir. Crizotinib was well tolerated, but 1 week after sofosbuvir/velpatasvir initiation, the patient experienced bilateral lower-limb edema and class III NYHA dyspnea. We assumed that increased exposure to crizotinib could account for this cardiac toxicity. Drug causality was probable according to the Naranjo scale. We hypothesized a reciprocal interaction between crizotinib and velpatasvir, mediated by both cytochrome 3A4 (CYP3A4) and P-glycoprotein (P-gp). Clinicians should be aware of the risk of drug–drug interactions between direct-acting antiviral agents that inhibit CYP3A4 (glecaprevir) and/or P-gp (voxilaprevir) and anticancer tyrosine kinase inhibitors that are mostly CYP3A4 and/or P-gp substrates (gefitinib, afatinib, erlotinib, crizotinib, ceritinib, lorlatinib, brigatinib, capmatinib etc.).

Background The occurrence of severe, acute limiting toxicity in patients receiving anti–programmed cell death receptor-1 monoclonal antibodies, such as nivolumab, is largely unpredictable. Sarcopenia was found to be associated with anti-cytotoxic T-lymphocyte-associated protein 4 acute toxicity. We explore the clinical and pharmacological parameters influencing nivolumab toxicity, including body composition. Methods From June 2015 to January 2017, all consecutive patients treated with nivolumab in our institution were prospectively included. We studied the relationship between muscle mass assessed by computed tomography, nivolumab trough level (Cmin) at day 14 assessed using the enzyme-linked immunosorbent assay method, and the occurrence of immune grade III or IV toxicity or any toxicity leading to treatment discontinuation (immune-related acute limiting toxicity [irALT]). Results In our population (n = 92) with a majority of lung cancer (72%), forty-five (51.7%) patients were sarcopenic. The median plasma nivolumab Cmin at day 14 was 15.4 μg/mL (interquartile range = 11.8–21.0). In multivariate analysis, hypoalbuminaemia ( Conclusions Our results highlight the importance of assessing body composition and suggest that sarcopenia could predict severe immune-related toxicity of nivolumab in real life.

AIMS Cytidine deaminase (CDA) activity in cancer patients' serum has been proposed as a predictive biomarker for efficacy and toxicity of nucleoside analogues. However, discrepant results about its predictive value have been reported due to the high interindividual variability in CDA activity. This study aimed at identifying determinants of this interindividual variability. METHODS From December 2014 to November 2015, 183 patients were prospectively included. Serum CDA activity, biological and clinical characteristics as well as five common single nucleotide polymorphisms (SNPs) in the CDA gene (c.-451C > T, c.-92A > G, c.-33_-31delC, c.79A > C, c.435 T > C) were analysed. Associations between clinical characteristics, pharmacogenetic variants and CDA activity were univariately tested. P

Background The combination of mitotane and platinum-etoposide chemotherapy is a front-line treatment in metastatic adrenocortical carcinoma (ACC), although this regimen shows limited efficacy. Pharmacokinetic drug–drug interaction between mitotane, a strong CYP3A4 inducer, and etoposide, which is a substrate of CYP3A4, may contribute to chemoresistance. The aim of this pilot study was to assess the pharmacokinetic interaction between mitotane and etoposide in ACC patients. Methods Five consecutive ACC patients treated with platinum etoposide (120–150 mg/m2 day 1–2–3 at cycle 1), with or without concomitant mitotane, were included. In the absence of limiting toxicity, a dose escalation of etoposide was proposed since cycle 2. Plasma etoposide concentrations were measured using liquid chromatography at 0, 4 and 24 h after each infusion. Clearance and area under the curve (AUC) of etoposide were determined at each cycle. Results Patients received two to six chemotherapy cycles, in association with mitotane (N = 4) or after mitotane discontinuation (N = 1). Etoposide clearance was two-fold higher with concomitant mitotane (4.95 L/h) than after mitotane discontinuation (2.53 L/h, P = 0.014), and 2.5-fold higher than that in reference population not treated with mitotane (1.81 L/h). Etoposide dose escalation was performed in four patients under mitotane, resulting in two minor tumor responses and one severe toxicity (febrile aplasia) at dose of 300 mg/m2/day. Tumor response was associated with higher etoposide AUC (267.3 vs 188.8 mg.h/L, P = 0.04). Conclusion A drug–drug interaction between mitotane and etoposide may contribute to the low efficacy of platinum-etoposide chemotherapy. This pilot study suggests further a potential benefit of increasing etoposide dose in ACC patients receiving mitotane.

Oral targeted therapies are a growing class of medication. After clinical trials conducted on a selected population, these molecules are usually approved at a fixed dose. However, oral tyrosine kinase inhibitors are characterized by a large intra and inter-individual pharmacokinetic variability, and a narrow therapeutic index. Hence, their prescription is hazardous and unsafe in non-selected people from daily clinical practice. The increasing number of available targeted therapies point out new challenges. These challenges should especially concern prescription for out of the ordinary patients, rules for dose adjustment according to factors of frailty. The ultimate goal is to ensure a safe and individualized prescription. Moreover, many of these molecules are metabolized by the CYP3A4, leading to a serious risk of drug interaction. These interactions might involve not only conventional medicine but also alternative and complementary medicines. These latter are more and more common but oncologists often lack experience about them. Finally, the oral route raises the issues of adherence, and the question of its assessment should now become a permanent part of patients care.

Background: The risk of drug drug interactions (DDI) has become a major issue in cancer patient care. However, data in sarcoma patients are scarce. We aimed to evaluate the frequency of DDI with antitumor treatments, identify the risk factors for DDI and evaluate the impact of a pharmacist evaluation before anticancer treatment. Patients and Methods: We performed a retrospective review of consecutive sarcoma patients starting chemotherapy (CT) or Tyrosine kinase inhibitor (TKI). A pharmacist performed medication reconciliation and established an early toxicity risk assessment. Potential DDI with antitumor drugs were identified using Micromedex electronic software. Results: One hundred twenty-two soft-tissue and 80 bone sarcoma patients (103 males, median age 50 years,) were included before chemotherapy (86%) or tyrosine kinase inhibitor (14%). The median number of medications was 3; 34 patients (22% of patients with medication reconciliation) reported complementary medicine use. 37 potential DDI classified as major, were identified (12% of the 243 pre-therapeutic assessments). In multivariate analysis, TKI (pConclusions: Clinical interventions on DDI are more frequently required among sarcoma patients treated with TKI than CT. Multidisciplinary risk assessment including a medication reconciliation by a pharmacist could be crucial to prevent DDI with TKI.

A large interindividual variability has been observed in anti Programmed cell Death 1 (anti-PD1) therapies efficacy. The aim of this study is to assess the correlation of soluble PD-1 (sPD-1), soluble Programmed cell Death Ligand 1 (sPD-L1), Vascular Endothelial Growth Factor A (VEGFA), soluble CD40 ligand (sCD40L) and soluble CD44 (sCD44), with survival in nivolumab-treated metastatic non-small cell lung cancer (NSCLC) patients. Plasma biomarkers were assayed at baseline and after two cycles of nivolumab. A cut-off of positivity for sPD-1, sPD-L1 and sCD40L expressions was defined as a plasma level above the lower limit of quantification. Baseline sPD-1 and sPD-L1 levels were subsequently analyzed in a control group of EGFR-mutated (Epidermal Growth Factor Receptor) NSCLC patients. Association between survival and biomarkers was investigated using Cox proportional hazard regression model. Eighty-seven patients were included (51 nivolumab-treated patients, 36 in EGFR-mutated group). In nivolumab group, baseline sPD-1, sPD-L1 and sCD40L were positive for 15(29.4%), 27(52.9%) and 18(50%) patients, respectively. We defined a composite criteria (sCombo) corresponding to sPD-1 and/or sPD-L1 positivity for each patient. In nivolumab group, baseline sCombo positivity was associated with shorter median progression-free survival (PFS) (78 days 95%CI (55&ndash, 109) vs. 658 days (222-not reached), HR: 4.12 (1.95&ndash, 8.71), p = 0.0002) and OS (HR: 3.99(1.63&ndash, 9.80), p = 0.003). In multivariate analysis, baseline sCombo independently correlated with PFS (HR: 2.66 (1.17&ndash, 6.08), p = 0.02) but not OS. In EGFR-mutated group, all patients were baseline sCombo positive, therefore this factor was not associated with survival. After two cycles of nivolumab, an increased or stable sPD-1 level independently correlated with longer PFS (HR: 0.49, 95%CI (0.30&ndash, 0.80), p = 0.004) and OS (HR: 0.39, 95%CI (0.21&ndash, 0.71), p = 0.002). VEGFA, sCD40L and sCD44 did not correlate with survival. We propose a composite biomarker using sPD-1and sPDL-1 to predict nivolumab efficacy in NSCLC patients. A larger validation study is warranted.

A new method for the quantitative analysis by liquid chromatography-tandem mass spectrometry (LC-MS/MS) of five tyrosine kinase inhibitors (afatinib, crizotinib, osimertinib, erlotinib and nintedanib) used in the treatment of non-small cell lung cancer (NSCLC) was developed and validated in human plasma. Separation was performed on an Accucore® C18 (2.1 × 50 mm; 2.6 μm) column using a gradient elution of water acidified with 0.1% (v/v) formic acid (A) and acetonitrile containing 0.1% (v/v) formic acid (B) at a flow rate of 500 μL/min. The analytes were detected in the selected reaction monitoring mode of a triple quadrupole mass spectrometer after positive ionization with heated electrospray interface. After addition of three isotopically labeled internal standards, plasma pretreatment consisted in a simple protein precipitation. This method presented satisfactory results in terms of sensitivity, specificity, precision (intra- and inter-assay coefficient of variation from 2.6% to 10.6%), accuracy (from 96.1% to 108.5%), recovery and matrix effects. The lower limit of quantification and the linearity of these five tyrosine kinases inhibitors are suitable with the expected concentrations in clinical practice. This new bioanalytical method can be used in daily clinical practice for therapeutic drug monitoring of these tyrosine kinase inhibitors in NSCLC patients.

Tyrosine kinase inhibitors (TKIs) used in the treatment of metastatic renal cell carcinoma present high interindividual variability in clinical response and toxicity. In addition, high interindividual variability in pharmacokinetics (PK) of TKIs is observed which could explain therapeutic failure or elevated toxicity in some patients. Monitoring of plasma concentrations of TKIs and PK-guided dose adjustment could help to achieve plasma therapeutic levels in all the patients. The key step for applying PK-guided dosing is an established and stable over time exposure–response relationship. In this review, the current data about PK and PK/PD relationships of TKIs used in the treatment of metastatic renal cell carcinoma: axitinib, pazopanib, sunitinib and sorafenib are discussed with emphasis to reported factors of interindividual variability in plasma exposure (food intake, genetic background, biological and demographical variables and drug–drug interactions). In addition, this review provides recommendations about individualized dosing strategies based on exposure–response findings reported in the recent literature.