Literature DB >> 20821331

Pharmacokinetic results of a phase I trial of sorafenib in combination with dacarbazine in patients with advanced solid tumors.

Erich Brendel1, Matthias Ludwig, Chetan Lathia, Caroline Robert, Stanislas Ropert, Jean-Charles Soria, Jean-Pierre Armand.   

Abstract

PURPOSE: Sorafenib, a multikinase inhibitor of Raf and several growth factor receptors, is under investigation in combination with dacarbazine, a commonly used chemotherapeutic agent for the treatment of many cancers. The current phase I study investigates the effects of sorafenib on the pharmacokinetic (PK) profile of dacarbazine and its metabolite 5-amino-imidazole-4-carboxamide (AIC). (AIC is formed in amounts equimolar to the active alkylating moiety, methane diazohydroxide, which is undetectable by known validated assays.)
METHODS: Patients with advanced solid tumors received intravenous dacarbazine 1,000 mg/m(2) on day 1 of a 21-day cycle to evaluate the PK of dacarbazine alone. Sorafenib 400 mg was administered twice daily continuously starting at day 2 of cycle 1. The PK of dacarbazine in the presence of sorafenib was assessed on day 1 of cycle 2. Sorafenib PK was also assessed at steady state.
RESULTS: PK data were available for 15 of 23 patients. With concomitant administration of sorafenib, the mean AUC and C (max) values of dacarbazine were reduced by 23 and 16%, respectively. Mean AUC and C (max) values of AIC were increased by 41 and 45%, respectively, with individual increases of up to 106 and 136%, respectively. The apparent terminal half-lives of the two compounds were not significantly influenced by sorafenib. Based on coefficients of variation, the AUC and C (max) values for sorafenib and its three metabolites were highly variable with dacarbazine coadministration.
CONCLUSIONS: Concomitant administration of sorafenib and dacarbazine as described above may result in decreased dacarbazine exposure but increased AIC exposure.

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Year:  2010        PMID: 20821331      PMCID: PMC3123694          DOI: 10.1007/s00280-010-1423-9

Source DB:  PubMed          Journal:  Cancer Chemother Pharmacol        ISSN: 0344-5704            Impact factor:   3.333


Introduction

Sorafenib is a multikinase inhibitor of Raf, vascular endothelial growth factor (VEGF) receptors, and platelet-derived growth factor receptors [1, 2]. It has been approved as a single agent by the US Food and Drug Administration (FDA) and the European Medicines Agency (EMA) for the treatment of advanced renal cell carcinoma and unresectable hepatocellular carcinoma. In addition, sorafenib is being tested in combination with other agents in a variety of advanced solid tumors such as melanoma, breast cancer, renal cell carcinoma, hepatic cancer, and non-small-cell lung cancer [3-16]. Dacarbazine is the most commonly used FDA- and EMA-approved chemotherapeutic agent for the treatment of advanced melanoma. Dacarbazine is metabolized by various cytochrome P450 (CYP) isoenzymes such as CYP1A2, CYP1A1, and CYP2E1 [17]. Sorafenib is primarily metabolized in the liver by CYP3A4 [18]. Therefore, concomitant sorafenib administration is not expected to affect dacarbazine metabolism, and the likelihood of a pharmacokinetic (PK) drug–drug interaction between sorafenib and dacarbazine is low. An earlier phase I study estimated that the maximum-tolerated dose of sorafenib in combination with dacarbazine 1,000 mg/m2 was 400 mg twice daily (the standard single-agent doses for each agent) [19]. The primary objective of this study was to evaluate the PK profiles of dacarbazine with and without concomitant sorafenib under steady state conditions. A secondary objective was to determine the steady-state PK profiles of sorafenib and its metabolites BAY 67-3472 (M2), BAY 43-9007 (M4), and BAY 68-7769 (M5) in the presence of dacarbazine. This paper reports on PK and safety data. A separate manuscript (in preparation) [20] reports on efficacy and functional analysis using dynamic contrast-enhanced ultrasonography (DCE-US) representing the blood volume and microarray analyses of gene expression obtained in sequential tumor biopsies.

Patients and methods

Patients

Patients with metastatic, histologically confirmed solid tumors were included in this study. Eligible patients had at least one lesion that could be accurately and serially measured per Response Evaluation Criteria in Solid Tumors (RECIST) guidelines [21], were ≥18 years of age with an Eastern Cooperative Oncology Group (ECOG) performance status of 0 or 1, had adequate bone marrow, liver, and renal functions, and had a life expectancy of at least 12 weeks. Patients were excluded if they had previous or concurrent cancer that was distinct from the tumor being evaluated in this study, unless the other cancer was curatively treated more than 3 years prior to study entry; clinically evident congestive heart failure; cardiac arrhythmias; active coronary heart disease or ischemia; uncontrolled hypertension; active clinically serious infections; or active brain metastases. Anticancer chemotherapy, immunotherapy, or vaccine therapy was not permitted during or within 30 days prior to the start of study treatment. Prior treatment with inhibitors of Raf, VEGF, or mTOR signaling pathways or farnesyl transferase inhibitors was not permitted.

Study design

This phase I, single-center, open-label, uncontrolled study was conducted in France between September 2005 (date of first patient first visit) and August 2006 (data cutoff date). On day 1 of a 21-day cycle, dacarbazine 1,000 mg/m2 was administered as a 1-h infusion. Sorafenib 400 mg was administered twice daily continuously starting on day 2 of cycle 1. Toxicity-related dose modifications of sorafenib and dacarbazine were performed in accordance with protocol-specified guidelines. Treatment continued until the occurrence of unacceptable toxicity, tumor progression, or death. Sorafenib tablets were supplied by Bayer HealthCare AG (Leverkusen, Germany); dacarbazine was supplied by Faulding Pharmaceuticals SA (Asnieres, France). The study was conducted in accordance with the Declaration of Helsinki, the International Conference on Harmonization Good Clinical Practice guidelines, the EU-Directive 2001/20/EC, and local applicable laws. All patients provided signed informed consent before starting study treatment.

Study outcomes

The primary endpoint was the determination of the PK profile of dacarbazine with and without sorafenib. Secondary endpoints included evaluation of the PK profile of sorafenib in the presence of dacarbazine, safety and efficacy of the combination treatment, novel biomarker analyses using DCE-US, and gene profile analyses. This paper reports on PK and safety data; the other results are reported in a separate manuscript (in preparation) [20].

Pharmacokinetic variables and sampling schedules

Dacarbazine is a prodrug from which the active alkylating moiety methane diazohydroxide is formed by metabolization. In this metabolic process, the inactive metabolite 5-amino-imidazole-4-carboxamide (AIC) is formed in equimolar quantities as methane diazohydroxide, which cannot be analytically measured [17]. Therefore, in addition to the PK of dacarbazine, we also studied the PK of AIC to understand the changes in the exposure of the active alkylating moiety in the presence of sorafenib. On day 1 of cycle 1, plasma samples were obtained prior to dacarbazine administration and at 0.5, 1.0, 1.25, 1.5, 2.0, 4.0, 8.0, 12.0, and 24.0 h following dacarbazine administration to assess the PK of dacarbazine and AIC in the absence of sorafenib. On day 1 of cycle 2, samples were collected from the same patients to assess the PK of dacarbazine in the presence of sorafenib at the same time points as above. Additional samples were collected on day 1 of cycle 2 prior to sorafenib dosing and at 0.5, 1.0, 2.0, 4.0, 8.0, 10.0, and 12.0 h thereafter to evaluate the PK profile of sorafenib and its main metabolites, M2, M4, and M5, in the presence of dacarbazine. Samples for dacarbazine measurements were stored at or below −70°C; samples for sorafenib measurements were stored below −15°C. Stability data indicated that all analytes were stable during analysis. The following PK variables were determined for dacarbazine and AIC on day 1 of cycle 1 and day 1 of cycle 2: area under the plasma concentration–time curve (AUC) from zero to infinity after a single dose [AUC(0–inf)], AUC from time zero to the last data point [AUC(0–tn)], maximum concentration of drug in plasma (C max), time to reach maximum drug concentration in plasma (t max), and apparent terminal half-life (t 1/2). The following variables were determined for sorafenib, M2, M4, and M5 on day 1 of cycle 2: AUC from time 0–12 h after dose at steady state [AUC(0–12)ss], AUC(0–12)ss normalized with respect to dose (in mg) per kg body weight [AUC(0–12)ss,norm], C max at steady state (C max,ss), C max,ss normalized with respect to dose (in mg) per kg body weight (C max,ss,norm), and t max at steady state (t max,ss).

Pharmacokinetic assay methods and analyses

All analytes in plasma samples were quantified using a fully validated liquid chromatography–tandem mass spectrometry assay method with a lower limit of quantification of 40.6 μg/l for dacarbazine, 40.7 μg/l for AIC, and 0.01 mg/l for sorafenib and its metabolites. The assay for each sample set was performed once. Mean inter-assay precision ranges as determined by analysis of quality control samples were 7.0–8.7% for dacarbazine, 2.8–9.3% for AIC, 1.5–12.4% for sorafenib, 2.6–4.5% for M2, 3.9–5.2% for M4, and 3.2–6.7% for M5. Corresponding mean inter-assay accuracy ranges were 97.1–104.7% for dacarbazine, 99.3–105.3% for AIC, 102.3–107.0% for sorafenib, 97.9–103.2% for M2, 98.1–100.3% for M4, and 95.5–101.0% for M5. The parameters AUC, AUC(0–tn), and C max of dacarbazine and AIC were analyzed after logarithmic transformations applying an analysis of variance assuming a log-normal distribution.

Safety

Safety was evaluated in all patients who had received at least one dose of either study treatment. Safety was assessed through observed adverse events (AEs) and results of physical examination, laboratory tests, and vital signs measurement. Safety assessment took place at baseline and weekly starting from day 1 of cycle 1. AEs were coded and graded using version 3.0 of the National Cancer Institute Common Toxicity Criteria.

Determination of sample size

As this was a descriptive PK and safety phase I study, no formal sample size estimation was performed. The planned enrollment of approximately 25 patients was based on the requirements of relevant PK data sampling in a phase I trial.

Results

The study enrolled 24 patients, one of whom developed progressive disease before study treatment. The remaining 23 patients underwent treatment and were evaluable for safety analysis. Twenty-one patients (91%) discontinued treatment owing to progressive disease and two patients (9%) discontinued owing to AEs. Complete PK data were available for 15 patients. The other 8 patients had incomplete or no PK data on sorafenib and/or dacarbazine and were not included in the PK evaluation. The baseline characteristics of patients are reported in Table 1. Detailed dosing and drug exposure data are reported in the supplementary table.
Table 1

Patient baseline characteristics

CharacteristicsPatients included in the PK analysis (n = 15)Patients included in the safety analysis (n = 23)
Sex, n (%)
 Male10 (67)11 (48)
 Female5 (33)12 (52)
Age at enrollment, mean ± SDa (year)59.3 ± 7.557.2 ± 8.9
Primary cancer type, n (%)
 Malignant melanoma4 (27)4 (17)
 Leiomyosarcoma3 (20)4 (17)
 Adenocarcinoma2 (13)5 (22)
 Neuroendocrine carcinoma2 (13)2 (9)
 Carcinoid tumor1 (7)1 (4)
 Epithelioid mesothelioma1 (7)3 (13)
 Hemangiopericytoma1 (7)1 (4)
 Hepatocarcinoma1 (7)1 (4)
 Nesidioblastoma01 (4)
 Sarcoma01 (4)
AJCCb stage at study entry, n (%)
 Stage IV14 (93)22 (96)
 Unknown1 (7)1 (4)
ECOG performance status, n (%)
 06 (40)10 (44)
 18 (53)12 (52)
 Missing1 (7)1 (4)
Prior anticancer therapy, n (%)
 Systemic adjuvant therapy
  Antineoplastic agents3 (20)5 (22)
  Immunostimulants1 (7)1 (4)
 Systemic palliative therapy
  Antineoplastic agents11 (73)19 (83)
  Endocrine therapy1 (7)3 (13)
  Other1 (7)2 (9)
 Radiotherapy6 (40)10 (43)
Prior anticancer regimens, n (%)
 01 (7)1 (4)
 17 (47)10 (44)
 ≥27 (47)12 (52)
Time since initial diagnosis, mean ± SDa (week)
 Malignant melanoma141.2 ± 145.0141.2 ± 145.0
 Other tumor types245.4 ± 331.7197.9 ± 261.3

aStandard deviation

bAmerican Joint Committee on Cancer

Patient baseline characteristics aStandard deviation bAmerican Joint Committee on Cancer

Pharmacokinetics

The 15 patients included in the PK analysis did not undergo any dose modifications during the PK evaluation period. For 13 of the 15 patients, the PK profile of dacarbazine was determined on day 1 of cycle 1 in the absence of sorafenib and repeated on day 1 of cycle 2 following a 20-day treatment period of sorafenib, as planned. For two patients, the second dacarbazine PK sampling was done on day 1 of cycle 3 and day 1 of cycle 6. For all the PK analyses, these were combined with data obtained from other patients on day 1 of cycle 2. Sorafenib PK sampling was performed in all patients during the second dacarbazine PK sampling. Geometric mean plasma concentration–time data for dacarbazine, AIC, and sorafenib are shown in Fig. 1a–c, respectively. While plasma concentrations of dacarbazine were slightly lower in cycle 2 at 4 h after start of infusion and following times when compared with those in cycle 1, the corresponding mean plasma concentrations of AIC were distinctly higher in cycle 2 compared with cycle 1. The apparent t 1/2 of either dacarbazine or AIC was not altered on concomitant administration of sorafenib. Mean plasma concentrations of sorafenib ranged between 1.7 and 3.0 mg/l.
Fig. 1

a Plasma concentrations (geometric means/geometric standard deviation) of dacarbazine after a 1-h intravenous infusion of 1,000 mg/m2 dacarbazine without (cycle 1) or with (cycle 2) concomitant multiple oral doses of 400 mg bid sorafenib (n = 15) b Plasma concentrations (geometric means/geometric standard deviation) of AIC after a 1-h intravenous infusion of 1,000 mg/m2 dacarbazine without (cycle 1) or with (cycle 2) concomitant multiple oral doses of 400 mg bid sorafenib (n = 15) c Plasma concentrations (geometric means/geometric standard deviation) of sorafenib after multiple oral doses of 400 mg bid sorafenib and following a concomitant 1-h intravenous infusion of 1,000 mg/m2 dacarbazine on day 1 of cycle 2 (n = 15)

a Plasma concentrations (geometric means/geometric standard deviation) of dacarbazine after a 1-h intravenous infusion of 1,000 mg/m2 dacarbazine without (cycle 1) or with (cycle 2) concomitant multiple oral doses of 400 mg bid sorafenib (n = 15) b Plasma concentrations (geometric means/geometric standard deviation) of AIC after a 1-h intravenous infusion of 1,000 mg/m2 dacarbazine without (cycle 1) or with (cycle 2) concomitant multiple oral doses of 400 mg bid sorafenib (n = 15) c Plasma concentrations (geometric means/geometric standard deviation) of sorafenib after multiple oral doses of 400 mg bid sorafenib and following a concomitant 1-h intravenous infusion of 1,000 mg/m2 dacarbazine on day 1 of cycle 2 (n = 15) Table 2 summarizes the PK results for dacarbazine and AIC. While the mean AUC and C max of dacarbazine were reduced by 23 and 16%, respectively, mean AUC and C max of AIC were increased by 41 and 45%, respectively, with individual increases of up to 106 and 136%, respectively. The apparent t 1/2 of either compound was not significantly influenced by concomitant administration of sorafenib. Table 3 reports the steady state PK data for sorafenib and its metabolites. Sorafenib contributes approximately 83% to the sum of AUC(0–12)ss values, while the metabolites contribute approximately 9% (M2), 4% (M4), and 3% (M5). From the values of the coefficients of variation, it is evident that the PK parameters of sorafenib and its metabolites showed a high degree of variability.
Table 2

PK data for dacarbazine and AIC after a 1-h intravenous infusion of 1,000 mg/m2 dacarbazine without (day 1, cycle 1) or with (day 2, cycle 2) administration of concomitant multiple oral doses of 400 mg bid sorafenib (n = 15)

ParametersDacarbazineAIC
Cycle 1Cycle 2Cycle 2/cycle 1Cycle 1Cycle 2Cycle 2/cycle 1
AUC(0–inf) (mg h/l)
 GMa (%CVb)65.0 (31)50.0 (36)20.6 (35)28.9 (26)
 Range29.4–111.524.5–87.811.3–33.221.8–56.0
 Ratio (90% CIc)0.769 (0.629–0.941)1.408 (1.167–1.699)
AUC(0–tn) (mg h/l)
 GMa (%CVb)62.9 (29)49.0 (35)19.1 (35)27.1 (25)
 Range29.0–105.323.8–84.310.5–29.719.8–50.4
C max (mg/l)
 GMa (%CVb)28.9 (26)24.4 (26)4.96 (39)7.16 (26)
 Range14.4–45.313.6–35.82.30–9.294.18–10.20
 Ratio (90% CIc)0.843 (0.718–0.990)1.445 (1.184–1.765)
t 1/2 (h)
 GMa (%CVb)1.87 (29)1.72 (22)2.27 (27)2.17 (26)
 Range1.34–3.761.31–2.871.30–3.731.50–3.21
t max (h)
 Median1.001.001.171.17
 Range0.50–1.080.50–1.170.50–1.581.00–2.00

aGeometric mean

bCoefficient of variation

cConfidence interval

Table 3

PK parameters of sorafenib and its metabolites BAY-67 3472 (M2), BAY 43-9007 (M4), and BAY 68-7769 (M5) after multiple oral doses of 400 mg bid sorafenib and following a concomitant 1-h intravenous infusion of 1,000 mg/m2 dacarbazine on day 1 of cycle 2

ParametersSorafenib (n = 15)a M2 (n = 15)a M4 (n = 15)b M5 (n = 13)c
AUC(0–12)ss (mg h/l)
 GMd (%CVe)28.3 (84)3.01 (207)1.46 (202)1.17 (225)
 Range6.13–85.70.195–17.60.176–14.00.218–9.31
AUC(0–12)ss,norm (kg h/l)
 GMd (%CVe)4.75 (93)0.489 (228)0.254 (207)0.200 (238)
 Range0.934–16.10.029–3.150.026–2.230.024–1.44
C max,ss (mg/l)
 GMd (%CVe)3.67 (77)0.371 (197)0.149 (237)0.137 (225)
 Range0.905–9.660.035–2.030.016–1.480.022–0.943
C max,ss,norm (kg/l)
 GMd (%CVe)0.620 (84)0.061 (211)0.026 (244)0.023 (245)
 Range0.155–1.810.005–0.3670.003–0.2360.002–0.146
t max,ss (h)
 Median (range)8.3 (0.5–12.0)4.0 (0–12.0)8.3 (0.5–12.0)4.0 (0–12.0)

a n = 14 for AUC(0–12)ss and AUC(0–12)ss,norm

b n = 13 for AUC(0–12)ss and AUC(0–12)ss,norm

c n = 12 for AUC(0–12)ss and AUC(0–12)ss,norm

dGeometric mean

eCoefficient of variation

PK data for dacarbazine and AIC after a 1-h intravenous infusion of 1,000 mg/m2 dacarbazine without (day 1, cycle 1) or with (day 2, cycle 2) administration of concomitant multiple oral doses of 400 mg bid sorafenib (n = 15) aGeometric mean bCoefficient of variation cConfidence interval PK parameters of sorafenib and its metabolites BAY-67 3472 (M2), BAY 43-9007 (M4), and BAY 68-7769 (M5) after multiple oral doses of 400 mg bid sorafenib and following a concomitant 1-h intravenous infusion of 1,000 mg/m2 dacarbazine on day 1 of cycle 2 a n = 14 for AUC(0–12)ss and AUC(0–12)ss,norm b n = 13 for AUC(0–12)ss and AUC(0–12)ss,norm c n = 12 for AUC(0–12)ss and AUC(0–12)ss,norm dGeometric mean eCoefficient of variation Overall, toxicities were manageable, with the vast majority of grade 3/4 AEs improving or resolving upon transient study drug dose reduction or discontinuation. No patient died of treatment-related causes; 10 patients (43.5%) died of progressive disease, 5 within 30 days after the last dose of a study drug and 5 thereafter. Table 4 summarizes the incidence of treatment-emergent AEs related to one or both of the study drugs and affecting at least two patients. The most common grade 3/4 toxicities included amylase or lipase elevation, which was attributed to sorafenib and asymptomatic in all cases. The hematologic toxicities were attributed to both study drugs. The most common drug-related toxicities of any grade were fatigue, nausea, diarrhea, hand–foot skin reaction, and rash/desquamation, each affecting a minimum of just under half of the patients. The most common categories of toxicities of any grade were gastrointestinal (19 patients [83%]), constitutional (18 patients [78%]), and dermatologic (15 patients [65%]).
Table 4

Incidence of drug-related treatment-emergent AEs associated with dacarbazine, sorafenib, or both, and affecting at least two patients

Total incidence, n (%) (n = 23)
All gradesGrade 3a Grade 4a
Blood/bone marrow
 Hemoglobin5 (22)5 (22)0
 Lymphopenia2 (9)2 (9)0
 Neutrophils5 (22)3 (13)2 (9)
 Platelets7 (30)1 (4)4 (17)
Constitutional symptoms
 Fatigue17 (74)4 (17)0
 Fever7 (30)00
 Weight loss2 (9)00
Dermatology/skin
 Alopecia8 (35)00
 Hand-foot skin reaction11 (48)1 (4)0
 Pruritus5 (22)00
 Rash/desquamation11 (48)2 (9)0
Gastrointestinal
 Anorexia11 (48)1 (4)0
 Constipation3 (13)00
 Diarrhea11 (48)00
 Mucositis (symptomatic)2 (9)00
 Nausea15 (65)1 (4)0
 Taste alteration2 (9)00
 Vomiting10 (44)2 (9)0
Metabolic/laboratory
 Amylase4 (17)4 (17)0
 Lipase5 (22)2 (9)3 (13)
Pain
 Headache2 (8)00

aWorst grade

Incidence of drug-related treatment-emergent AEs associated with dacarbazine, sorafenib, or both, and affecting at least two patients aWorst grade In Table 5, we report selected PK parameters of AIC in each of the 15 patients included in the PK analysis and the associated percent changes in hematologic parameters (i.e. platelet, leukocyte, and neutrophil levels). It can be seen that four patients (reference numbers 01, 06, 11, and 14) with grade 4 platelets and grade 3/4 neutrophils showed an increase in C max and AUC(0–inf) of AIC on concomitant sorafenib administration. However, we also see an increased incidence of hematologic toxicities without an associated increase in the C max and AUC(0–inf) on concomitant administration of sorafenib (patients with reference numbers 12 and 13) as well as an increase in C max and AUC(0–inf) without an associated increase in hematologic toxicities (patient with reference number 09).
Table 5

Individual patient parameters of AIC after a 1-h infusion of 1,000 mg/m2 dacarbazine without (cycle 1) or with (cycle 2) concomitant administration of multiple oral doses of 400 mg sorafenib bid and percent changes in hematologic parameters in patients valid for PK analysis (n = 15)

Reference # C max (mg/l)AUC(0–inf) (mg h/l)Percent change from baseline (NCI CTCAE v3.0a grade)
C1; C2C2/C1C1; C2C2/C1PlateletsLeukocytesNeutrophils
014.23; 7.22a 1.7014.5; 27.2b 1.87−89.3 (G4)−70.4 (G3)−74.9 (G3)
039.29; 10.231.1030.9; 33.91.10−41.1 (G1)−44.9 (G1)−57.0
056.36; 7.441.1723.7; 27.31.15−72.8 (G1)−75.2 (G2)−81.2 (G2)
062.30; 5.432.3611.3; 23.42.06−96.6 (G4)−94.9 (G4)−97.2 (G4)
073.21; 4.181.3015.2; 26.01.71−24.7 (G1)−36.8 (G1)−46.5
093.94; 7.771.9716.2; 31.01.92−24.4 (G1)−35.8−37.0
113.87; 6.761.7513.5; 21.91.62−88.9 (G4)−63.7 (G2)−80.0 (G3)
126.05; 8.671.4329.0; 39.81.37−71.3 (G1)−72.1 (G3)−83.7 (G3)
135.48; 5.891.0821.8; 28.71.31−73.3 (G2)−74.0 (G3)−85.4 (G3)
145.32; 9.781.8433.2; 56.01.68−95.0 (G4)−90.5 (G4)−98.3 (G4)
157.55; 9.541.2627.2; 32.71.20−50.4 (G1)−55.4 (G2)−55.6 (G2)
175.40; 6.841.2721.4; 24.91.16−52.9 (G1)−37.9−42.6
227.88; 9.071.1524.6; 22.50.91−85.0 (G2)−66.7 (G3)−65.8 (G2)
234.97; 6.531.3227.8; 31.71.14−83.2 (G1)−70.1 (G2)−77.3 (G1)
243.37; 5.29c 1.5714.7; 21.8b 1.49−13.7−15.9−40.6

aNational Cancer Institute Common Terminology Criteria for Adverse Events version 3.0

bData from cycle 3

cData from cycle 6

Individual patient parameters of AIC after a 1-h infusion of 1,000 mg/m2 dacarbazine without (cycle 1) or with (cycle 2) concomitant administration of multiple oral doses of 400 mg sorafenib bid and percent changes in hematologic parameters in patients valid for PK analysis (n = 15) aNational Cancer Institute Common Terminology Criteria for Adverse Events version 3.0 bData from cycle 3 cData from cycle 6

Discussion

In this paper, we report PK and safety data from the combination of sorafenib and dacarbazine in patients with advanced solid tumors. Our results indicate that while concomitant administration of sorafenib and dacarbazine decreased dacarbazine exposure, it resulted in increased AIC exposure. We also found that increased AIC exposure might be associated with an increased incidence of hematologic toxicities, likely because of the interference of methane diazohydroxide with erythropoiesis [22-24]. However, because of the small sample size, no statistically significant correlations between increased AIC exposure and hematologic toxicities could be established. Because of the study design, we could obtain PK profiles of sorafenib and its metabolites only in the presence of dacarbazine. Similar to other studies, we found that the PK parameters of sorafenib and its metabolites showed a high degree of variability [25]. Our data also show that sorafenib contributes approximately 83% to the sum of AUC(0–12)ss values, while the metabolites contribute approximately 9% (M2), 4% (M4), and 3% (M5). This is comparable with data obtained from previous single-agent studies (data on file, Bayer HealthCare AG). The combination of sorafenib and dacarbazine was associated with a clinically acceptable toxicity profile, with the vast majority of the grades 3/4 AEs improving or resolving upon transient discontinuation and/or dose reduction of the study drugs. No unexpected serious adverse reactions were reported. The sorafenibdacarbazine combination has also been investigated in randomized [14] and open-label [26] phase II studies, and in another phase I study [19] with similar safety results. Currently, the combination is being investigated in a phase II trial for sarcoma (Clinicaltrials.gov identifier: NCT00837148). In conclusion, the combined treatment with sorafenib and dacarbazine may result in an increased exposure to AIC, which may be considered an indicator for the exposure to the active alkylating agent methane diazohydroxide. Due to the small number of patients in the present study, a statistically significant correlation between AIC exposure and observed hematologic toxicities, even if present, could not be established. Further studies may be necessary to more clearly characterize this potential drug–drug interaction. Below is the link to the electronic supplementary material. Supplementary material 1 (DOC 34 kb)
  22 in total

1.  New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada.

Authors:  P Therasse; S G Arbuck; E A Eisenhauer; J Wanders; R S Kaplan; L Rubinstein; J Verweij; M Van Glabbeke; A T van Oosterom; M C Christian; S G Gwyther
Journal:  J Natl Cancer Inst       Date:  2000-02-02       Impact factor: 13.506

2.  Phase I trial of sorafenib and gemcitabine in advanced solid tumors with an expanded cohort in advanced pancreatic cancer.

Authors:  Lillian L Siu; Ahmad Awada; Chris H Takimoto; Martine Piccart; Brian Schwartz; Tom Giannaris; Chetan Lathia; Oana Petrenciuc; Malcolm J Moore
Journal:  Clin Cancer Res       Date:  2006-01-01       Impact factor: 12.531

3.  Results of a phase I trial of BAY 43-9006 in combination with doxorubicin in patients with primary hepatic cancer.

Authors:  H Richly; P Kupsch; K Passage; M Grubert; R A Hilger; R Voigtmann; B Schwartz; E Brendel; O Christensen; C G Haase; D Strumberg
Journal:  Int J Clin Pharmacol Ther       Date:  2004-11       Impact factor: 1.366

4.  Chemoimmunotherapy of disseminated malignant melanoma with dimethyl triazeno imidazole carboxamide and bacillus calmette--guérin.

Authors:  J U Gutterman; G Mavligit; J A Gottlieb; M A Burgess; C E McBride; L Einhorn; E J Freireich; E M Hersh
Journal:  N Engl J Med       Date:  1974-09-19       Impact factor: 91.245

5.  Lack of effect of ketoconazole-mediated CYP3A inhibition on sorafenib clinical pharmacokinetics.

Authors:  Chetan Lathia; John Lettieri; Frank Cihon; Martha Gallentine; Martin Radtke; Pavur Sundaresan
Journal:  Cancer Chemother Pharmacol       Date:  2005-08-25       Impact factor: 3.333

6.  Clinical comparison of adriamycin and a combination of methyl-CCNU and imidazole carboxamide in disseminated malignant melanoma.

Authors:  D L Ahmann; H F Bisel; J H Edmonson; R G Hahn; R T Eagan; M J O'Connell; S Frytak
Journal:  Clin Pharmacol Ther       Date:  1976-06       Impact factor: 6.875

7.  Results of a phase I trial of sorafenib (BAY 43-9006) in combination with oxaliplatin in patients with refractory solid tumors, including colorectal cancer.

Authors:  Petra Kupsch; Bernhard F Henning; Katrin Passarge; Heike Richly; Katrin Wiesemann; Ralf A Hilger; Max E Scheulen; Olaf Christensen; Erich Brendel; Brian Schwartz; Elke Hofstra; Rudolf Voigtmann; Siegfried Seeber; Dirk Strumberg
Journal:  Clin Colorectal Cancer       Date:  2005-09       Impact factor: 4.481

8.  Metabolic activation of dacarbazine by human cytochromes P450: the role of CYP1A1, CYP1A2, and CYP2E1.

Authors:  J M Reid; M J Kuffel; J K Miller; R Rios; M M Ames
Journal:  Clin Cancer Res       Date:  1999-08       Impact factor: 12.531

Review 9.  Preclinical overview of sorafenib, a multikinase inhibitor that targets both Raf and VEGF and PDGF receptor tyrosine kinase signaling.

Authors:  Scott M Wilhelm; Lila Adnane; Philippa Newell; Augusto Villanueva; Josep M Llovet; Mark Lynch
Journal:  Mol Cancer Ther       Date:  2008-10       Impact factor: 6.261

10.  Results with methyl-CCNU and DTIC in metastatic melanoma.

Authors:  M E Costanza; L Nathanson; D Schoenfeld; J Wolter; J Colsky; W Regelson; T Cunningham; N Sedransk
Journal:  Cancer       Date:  1977-09       Impact factor: 6.860

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  8 in total

1.  Clinical pharmacokinetics of tyrosine kinase inhibitors: focus on pyrimidines, pyridines and pyrroles.

Authors:  Paola Di Gion; Friederike Kanefendt; Andreas Lindauer; Matthias Scheffler; Oxana Doroshyenko; Uwe Fuhr; Jürgen Wolf; Ulrich Jaehde
Journal:  Clin Pharmacokinet       Date:  2011-09       Impact factor: 6.447

2.  A Phase II Trial of Sorafenib and Dacarbazine for Leiomyosarcoma, Synovial Sarcoma, and Malignant Peripheral Nerve Sheath Tumors.

Authors:  David R D'Adamo; Mark A Dickson; Mary L Keohan; Richard D Carvajal; Martee L Hensley; Catherine M Hirst; Marietta O Ezeoke; Linda Ahn; Li-Xuan Qin; Cristina R Antonescu; Robert A Lefkowitz; Robert G Maki; Gary K Schwartz; William D Tap
Journal:  Oncologist       Date:  2018-08-20

Review 3.  Clinical Pharmacokinetics and Pharmacodynamics of Transarterial Chemoembolization and Targeted Therapies in Hepatocellular Carcinoma.

Authors:  Anne Hulin; Jeanick Stocco; Mohamed Bouattour
Journal:  Clin Pharmacokinet       Date:  2019-08       Impact factor: 6.447

Review 4.  Imidazoles as potential anticancer agents.

Authors:  Imran Ali; Mohammad Nadeem Lone; Haasan Y Aboul-Enein
Journal:  Medchemcomm       Date:  2017-04-13       Impact factor: 3.597

5.  Sorafenib plus dacarbazine in solid tumors: a phase I study with dynamic contrast-enhanced ultrasonography and genomic analysis of sequential tumor biopsy samples.

Authors:  Vladimir Lazar; Nathalie Lassau; Guillaume Meurice; Yohann Loriot; Carol Peña; Christophe Massard; Caroline Robert; Thomas Robert; Marie-Aude Le Berre; Thierry de Baere; Philippe Dessen; Jean-Charles Soria; Jean-Pierre Armand
Journal:  Invest New Drugs       Date:  2013-08-27       Impact factor: 3.850

Review 6.  Inefficiencies and Patient Burdens in the Development of the Targeted Cancer Drug Sorafenib: A Systematic Review.

Authors:  James Mattina; Benjamin Carlisle; Yasmina Hachem; Dean Fergusson; Jonathan Kimmelman
Journal:  PLoS Biol       Date:  2017-02-03       Impact factor: 8.029

7.  Primary Culture of Undifferentiated Pleomorphic Sarcoma: Molecular Characterization and Response to Anticancer Agents.

Authors:  Alessandro De Vita; Federica Recine; Laura Mercatali; Giacomo Miserocchi; Chiara Spadazzi; Chiara Liverani; Alberto Bongiovanni; Federica Pieri; Roberto Casadei; Nada Riva; Valentina Fausti; Dino Amadori; Toni Ibrahim
Journal:  Int J Mol Sci       Date:  2017-12-08       Impact factor: 5.923

8.  Impact of anticancer chemotherapy on the extension of beta-lactamase spectrum: an example with KPC-type carbapenemase activity towards ceftazidime-avibactam.

Authors:  Claire Amaris Hobson; Stéphane Bonacorsi; Didier Hocquet; André Baruchel; Mony Fahd; Thomas Storme; Raksamy Tang; Catherine Doit; Olivier Tenaillon; André Birgy
Journal:  Sci Rep       Date:  2020-01-17       Impact factor: 4.379

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