Axitinib Trough Concentration and its Influence on the Efficacy and Toxicity of Second-line Renal Cell Carcinoma Treatment.

INTRODUCTION: There are known correlations between axitinib exposure and treatment response. The aim of the article was to study relationships between the axitinib steady-state trough concentration and the treatment efficacy and toxicity. PATIENTS AND METHODS: 35 patients (24 men and 11 women), treated or initiating treatment with axitinib, were included in the study over the period 2016-2019. Blood samples were collected following 2 weeks of treatment (in patients who initiated the therapy) and at the end of Cycles 1, 2, and 3 thereafter (in the entire study population). For concentration measurements, high-performance liquid chromatography - mass spectrometry (HPLC-MS) was applied. Treatment efficacy was assessed according to the RECIST 1.1 criteria. Therapy toxicity was evaluated according to the CTCAE criteria. RESULTS: A statistically significant relationship between the first measured axitinib trough concentration (Ctrough first) value and treatment response (P = .004) as well as the median progression-free survival (mPFS) (P = .003) was observed. The association between axitinib Ctrough first and the median overall survival (mOS) was not statistically significant (P = .142). A statistically significant relationship was observed between the mean trough concentration from 3-month observation (Ctrough 1-3m) and treatment response (P = .008) as well as mPFS (P = .001), without a significant relationship for mOS (P = .097). At least grade 3 adverse reactions were meaningfully associated with Ctrough first (P = .012) and Ctrough 1-3m (P = .003). CONCLUSION: There are significant relationships between axitinib Ctrough and treatment response, PFS, and grade ≥ 3 toxicity. The data collected may be used to determine indications for axitinib therapy monitoring based on Ctrough measurements.

In vivo assessment of the drug interaction between sorafenib and paracetamol in rats.

PURPOSE: Sorafenib is a multi-targeted tyrosine kinase inhibitor (TKI) used for the treatment of advanced renal cell carcinoma, hepatocellular carcinoma and radioactive iodine resistant thyroid carcinoma. Neoplastic diseases are the cause of pain, which may occur regardless of the stage of the disease. Paracetamol is a non-opioid analgesic used alone or in combination with opioids for the treatment of cancer pain. Numerous studies have pointed out changes in the pharmacokinetic parameters of TKIs when co-administered with paracetamol. The aim of the study was to assess drug-drug interactions (DDIs) between sorafenib and paracetamol. METHODS: Rats were divided into three groups, each consisting of eight animals. The first group received sorafenib (IIS), the second group received sorafenib + paracetamol (IS+PA), whereas the third group received only paracetamol (IIIPA). A single dose of sorafenib (100 mg/kg b.w.) and paracetamol (100 mg/kg b.w.) was administered orally. The plasma concentrations of sorafenib and its metabolite-N-oxide as well as paracetamol and its glucuronide and sulphate metabolites were measured using validated high-performance liquid chromatography (HPLC) method with ultraviolet detection. RESULTS: The co-administration of sorafenib and paracetamol increased the maximum concentration (Cmax) of paracetamol by 33% (p = 0.0372). In the IS+ PA group the Cmax of paracetamol glucuronide was reduced by 48% (p = < 0.0001), whereas the Cmax of paracetamol sulphate was higher by 153% (p = 0.0012) than in the IIIPA group. Paracetamol increased sorafenib and sorafenib N-oxide Cmax by 60% (p = 0.0068) and 83% (p = 0.0023), respectively. CONCLUSIONS: A greater knowledge of DDI between sorafenib and paracetamol may help adjust dose properly and avoid toxicity effects in individual patients.

The oxidation and hypoglycaemic effect of sorafenib in streptozotocin-induced diabetic rats.

BACKGROUND: Diabetes reduces the activity of CYP3A4 and may increase the exposure for the drugs metabolized by the isoenzyme. Sorafenib is a multi-targeted tyrosine kinase inhibitor (TKI), used for the treatment of advanced renal cell carcinoma, hepatocellular carcinoma and radioactive iodine resistant thyroid carcinoma. The TKI undergoes CYP3A4-dependent oxidative transformation, which may be influenced by hyperglycaemia. The aim of the study was to compare the oxidation for sorafenib between healthy and streptozotocin-induced diabetic rats. Additionally, the effect of sorafenib on glucose levels was investigated. METHODS: The rats were assigned to the groups: streptozotocin-induced diabetic (DG, n = 8) or healthy (HG, n = 8). The rats received sorafenib orally as a single dose of 100 mg/kg. The plasma concentrations of sorafenib and its metabolite N-oxide were measured with the validated high-performance liquid chromatography with ultraviolet detection. RESULTS: The difference between groups in Cmax and AUC0-t values for sorafenib were significant (p = 0.0004, p = 0.0104), and similarly for the metabolite (p = 0.0008, p = 0.0011). Greater exposure for the parent drug and analysed metabolite was achieved in diabetic group. However, the Cmax, AUC0-t, and AUC0-∞ ratios between the metabolite and sorafenib were similar in both groups. The significant reduction of glycaemia was observed only in the diabetic animals. CONCLUSION: The findings of the study provide evidence that diabetes significantly influence on the exposition for sorafenib and its metabolite, but similar ratios N-oxide/sorafenib for AUC and Cmax in healthy and diabetic animals suggest that oxidation of the TKI is rather unchanged. Additionally, sorafenib-associated hypoglycaemia was confirmed in diabetic animals.

The influence of the coadministration of the p-glycoprotein modulator elacridar on the pharmacokinetics of lapatinib and its distribution in the brain and cerebrospinal fluid.

Background Lapatinib is a small-molecule tyrosine kinase inhibitor of human epidermal receptor 2 (HER2) and EGFR that has currently been approved for the treatment of HER2-positive advanced and metastatic breast cancer (BC). The ATP-binding cassette (ABC) family of transporters includes P-glycoprotein (P-gp; ABCB1) and breast cancer resistance protein (BCRP; ABCG2), which substantially restrict the penetration of drugs, including chemotherapeutics, through the blood-brain barrier and blood-cerebrospinal fluid barrier. The aim of this study was to investigate the effects of elacridar, an ABCB1 and ABCG2 inhibitor, on the brain and cerebrospinal fluid uptake of lapatinib. Methods Rats were divided into two groups: one group received 5 mg/kg elacridar and 100 mg/kg lapatinib (an experimental group), and the other group received 100 mg/kg lapatinib (a control group). Lapatinib concentrations in the blood plasma (BP), cerebrospinal fluid (CSF) and brain tissue (BT) were measured by liquid chromatography coupled with tandem mass spectrometry. Results Elacridar significantly increased lapatinib penetration into the CSF and BT (Cmax increase of 136.4% and 54.7% and AUC0-∞ increase of 53.7% and 86.5%, respectively). The Cmax of lapatinib in BP was similar in both experimental groups (3057.5 vs. 3257.5 ng/mL, respectively). Conclusion This study showed that elacridar influenced the pharmacokinetics of lapatinib. The inhibition of ABCB1 and ABCG2 transporters by elacridar substantially enhanced the penetration of lapatinib into the CSF and BT. The blocking of protein transporters could become indispensable in the treatment of patients with breast cancer and brain metastases.

The concomitant use of lapatinib and paracetamol - the risk of interaction.

Lapatinib is a tyrosine kinase inhibitor used for the treatment of breast cancer. Paracetamol is an analgesic commonly applied to patients with mild or moderate pain and fever. Cancer patients are polymedicated, which involves high risk of drug interactions during therapy. The aim of the study was to assess the interaction between lapatinib and paracetamol in rats. The rats were divided into three groups of eight animals in each. One group received lapatinib + paracetamol (IL + PA), another group received lapatinib (IIL), whereas the last group received paracetamol (IIIPA). A single dose of lapatinib (100 mg/kg b.w.) and paracetamol (100 mg/kg b.w.) was administered orally. Plasma concentrations of lapatinib, paracetamol and its metabolites - glucuronide and sulphate, were measured with the validated HPLC-MS/MS method and HPLC-UV method, respectively. The pharmacokinetic parameters of both drugs were calculated using non-compartmental methods. The co-administration of lapatinib and paracetamol increased the area under the plasma concentration-time curve (AUC) and the maximum concentration (Cmax) of lapatinib by 239.6% (p = 0.0030) and 184% (p = 0.0011), respectively. Lapatinib decreased the paracetamol AUC0-∞ by 48.8% and Cmax by 55.7%. In the IL + PA group the Cmax of paracetamol glucuronide was reduced, whereas the Cmax of paracetamol sulphate was higher than in the IIIPA group. Paracetamol significantly affected the enhanced plasma exposure of lapatinib. Additionally, lapatinib reduced the concentrations of paracetamol. The co-administration of lapatinib decreased the paracetamol glucuronidation but increased the sulphation. The findings of this study may be of clinical relevance to patients requiring analgesic therapy.

A pharmacokinetic study on lapatinib in type 2 diabetic rats.

BACKGROUND: Diabetes mellitus (DM) is a complex metabolic disorder which affects the function of numerous tissues and alters the pharmacokinetic parameters of many drugs. As many oncological patients are diabetics, it is important to determine the influence of this chronic disease on the pharmacokinetics (PK) of anticancer drugs. Lapatinib is a tyrosine kinase inhibitor (TKI), approved for the treatment of human epidermal growth factor receptor 2 (HER2)-positive metastatic breast cancer. The aim of the study was to compare the PK of lapatinib in normal and type 2 diabetes mellitus (T2DM) model rats. Additionally, the effect of lapatinib on blood glucose concentrations was examined. METHODS: The PK of lapatinib was studied in healthy rats (n=6, the healthy group) and T2DM model rats (n=6, the diabetic group). The rats received lapatinib orally as a single dose of 50mg. Plasma concentrations of lapatinib were measured with high-performance liquid chromatography method coupled with a tandem mass spectrometry. RESULTS: The plasma concentrations of lapatinib were increased in the T2DM model rats. There were statistically significant differences between the groups in Cmax (p=0.0104) and AUC0-t (p=0.0265). The reduction of glycaemia in the range of 1.2-41.5% and in the range of 4.1-36.8% was observed in the diabetic and healthy animals, respectively. CONCLUSIONS: Higher concentrations of lapatinib in the diabetic rats may suggest the need for application of lower doses of this TKI in patients with DM.

Pharmacokinetic drug-drug interaction between erlotinib and paracetamol: A potential risk for clinical practice.

BACKGROUND: Erlotinib is a tyrosine kinase inhibitor available for the treatment of non-small cell lung cancer. Paracetamol is an analgesic agent, commonly used in cancer patients. Because these drugs are often co-administered, there is an increasing issue of interaction between them. OBJECTIVE: The aim of the study was to investigate the effect of paracetamol on the pharmacokinetic parameters of erlotinib, as well as the influence of erlotinib on the pharmacokinetics of paracetamol. METHODS: The rabbits were divided into three groups: the rabbits receiving erlotinib (IER), the group receiving paracetamol (IIPR), and the rabbits receiving erlotinib+paracetamol (IIIER+PR). A single dose of erlotinib was administered orally (25mg) and was administered intravenously (35mg/kg). Plasma concentrations of erlotinib, its metabolite (OSI420), paracetamol and its metabolites - glucuronide and sulphate were measured with the validated method. RESULTS: During paracetamol co-administration we observed increased erlotinib maximum concentration (Cmax) and area under the plasma concentration-time curve from time zero to infinity (AUC0-∞) by 87.7% and 31.1%, respectively. In turn, erlotinib lead to decreased paracetamol AUC0-∞ by 35.5% and Cmax by 18.9%. The mean values of paracetamol glucuronide/paracetamol ratios for Cmax were 32.2% higher, whereas paracetamol sulphate/paracetamol ratios for Cmax and AUC0-∞ were 37.1% and 57.1% lower in the IIPR group, when compared to the IIIER+PR group. CONCLUSIONS: Paracetamol had significant effect on the enhanced plasma exposure of erlotinib. Additionally, erlotinib contributed to the lower concentrations of paracetamol. Decreased glucuronidation and increased sulphation of paracetamol after co-administration of erlotinib were also observed.

The alteration of pharmacokinetics of erlotinib and OSI420 in type 1 diabetic rabbits.

BACKGROUND: Alterations in blood glucose levels observed in diabetes, may change the pharmacokinetics of co-administered drugs and in consequence, the efficacy and safety of therapy. Many oncological patients are diabetics and it is important to determine the interaction of anticancer drugs with this chronic disease. Erlotinib is a tyrosine kinase inhibitor (TKI), approved for the treatment of patients with non-small-cell lung cancer and pancreatic cancer in combination with gemcitabine. The aim of the study was to investigate the influence of the diabetes on the pharmacokinetics of erlotinib in rabbits. Additionally, the effect of erlotinib on glucose levels was examined. METHODS: The pharmacokinetics of erlotinib was studied in healthy rabbits (n=6, control group) and type 1 diabetic rabbits (n=6, diabetic group). Erlotinib was administered in a single oral dose of 25mg. Plasma concentrations of erlotinib and its metabolite (OSI420) were measured with the validated method. RESULTS: The plasma concentrations of erlotinib and OSI420 were markedly increased in diabetic rabbits. Statistically significant differences between the groups were revealed for almost all analysed pharmacokinetic parameters for erlotinib and OSI420. The maximum glycaemia drop of 7.7-33.5% was observed in the diabetic animals, but no significant changes in glucose concentration were observed in the control group. CONCLUSIONS: The research proved the significant influence of diabetes on the pharmacokinetics of erlotinib and OSI420. Due to higher exposure to erlotinib, there may be an increased risk of adverse drug reactions in diabetic patients. Therefore, in some cases lower doses of the drug should be considered.

The effect of sunitinib on the plasma exposure of intravenous paracetamol and its major metabolite: paracetamol glucuronide.

The study aimed to examine the effect of sunitinib on the plasma exposure of intravenous paracetamol and its major metabolite, paracetamol glucuronide. Both drugs share metabolic pathways in the liver, and the drug interactions between sunitinib and paracetamol administered in higher doses were reported. These interactions resulted in hepatotoxicity. The adult New Zealand male rabbits were divided into three groups (6 animals each): rabbits receiving sunitinib and paracetamol (SUN + PC), rabbits receiving sunitinib (SUN), and a control group receiving paracetamol (PC). Sunitinib was administered orally (25 mg) and paracetamol was administrated intravenously (35 mg/kg). Blood samples for sunitinib and SU12662 assays were collected up to 96 h after drug administration and for paracetamol and paracetamol glucuronide up to 300 min after drug administration. Aspartate aminotransferase (AST), alanine aminotransferase (ALT), and bilirubin were analysed before and after drug administration. A number of pharmacokinetic parameters were analysed. There were no differences in the levels of AST, ALT, and bilirubin among the groups at either time point. Significantly higher values of AUC0-t , AUC0-∞ , and C max and lower clearance and volume of distribution of paracetamol were observed in group PC vs. group SUN + PC (p < 0.01). The maximum plasma concentration of paracetamol glucuronide tended to be higher in group PC 213.27 µg/mL (90 % CI 1.06, 1.25; p = 0.0267). Statistically significant differences were revealed for paracetamol glucuronide mean residence time (MRT); MRT was higher in group SUN + PC than in group PC (p = 0.0375). The mean t max of paracetamol glucuronide was similar in both groups: SUN + PC and group PC (15 and 20 min, respectively). The mean t max of sunitinib was different in groups SUN + PC and SUN (10.0 and 7.0, respectively; p = 0.0134). At the studied doses, neither of the drugs, whether administered alone or together, had hepatotoxic effects. The present study was not able to confirm that sunitinib, administered at low doses in conjunction with paracetamol, displays a hepatoprotective effect. Significant differences were observed in some pharmacokinetic parameters of paracetamol.

The pharmacokinetics and hypoglycaemic effect of sunitinib in the diabetic rabbits.

BACKGROUND: Diabetes is one of the most common metabolic diseases in the world, which may influence changes in the pharmacokinetics and pharmacodynamics of drugs. Sunitinib is a tyrosine kinase inhibitor (TKI) broadly used for treatment of numerous cancers, which exhibits the side hypoglycaemic effect. The aim of the study was a comparison of concentrations and pharmacokinetics of sunitinib after a single administration in rabbits with hyperglycaemia and normoglycaemia (control group). Additionally, the effect of sunitinib on glucose levels was investigated. METHODS: The research was carried out on a control group (n=6) and a group of rabbits with diabetes (n=6). The rabbits were treated with sunitinib in the oral dose of 25mg. Plasma concentrations of sunitinib and its metabolite (SU12662) were measured with validated HPLC method with UV detection. RESULTS: The comparison of the sunitinib Cmax and AUC0-∞ in the diabetic group with the control group gave the ratios of 1.63 [90% confidence interval (CI) [1.59; 1.66] and 2.03 [1.97; 2.09], respectively. Statistically significant differences between the analyzed groups were revealed for Cmax (p=0.006), AUC0-∞ (p=0.0088), and AUCkel (p=0.009). The maximum glycaemia drop of 14.4-69.6% and 15.4-33.5% was observed in the diabetic animals and in the control group, respectively. The glycaemia values returned to the initial values in 24h after the administration of the drug. CONCLUSIONS: The research proved the significant influence of diabetes on the pharmacokinetics of sunitinib and it confirmed the hypoglycaemic effect of the TKI in diabetic rabbits and in normoglycaemia.

Pharmacokinetics of sunitinib in combination with fluoroquinolones in rabbit model.

BACKGROUND: Fluoroquinolones are widely prescribed antibiotics. Ciprofloxacin is a well-known inhibitor of cytochrome P450 CYP3A4 and causes numerous drug interactions that are not found for levofloxacin and moxifloxacin. CYP3A4 is involved in the metabolism of the new oral multikinase inhibitor sunitinib which is indicated for the treatment of gastrointestinal stromal tumor (GIST) and advanced renal cell carcinoma (RCC). This study investigated the effects of single intravenous dose of ciprofloxacin, levofloxacin or moxifloxacin on the pharmacokinetics of sunitinib. METHODS: Rabbits were subjected to one of four study drug groups: sunitinib + ciprofloxacin (n = 6), sunitinib + levofloxacin (n = 6), sunitinib + moxifloxacin (n = 6), or sunitinib alone (n = 6). The rabbits were treated with sunitinib in the oral dose of 25 mg. The antibiotics were administered intravenously at the doses of 20, 25 and 20 mg/kg, respectively. Plasma concentrations of sunitinib and active metabolite (SU12662) were measured with validated HPLC method with UV detection. RESULTS: The comparison of sunitinib Cmax for the sunitinib + ciprofloxacin, sunitinib + levofloxacin, sunitinib + moxifloxacin group and that for the sunitinib group gave ratios of 1.81 (90% CI 1.33, 2.44), 1.59 (90% CI 1.18, 2.16), 1.06 (90% CI 0.79, 1.44), respectively. The comparison of sunitinib AUC0-∞ for the sunitinib + ciprofloxacin, sunitinib + levofloxacin, sunitinib + moxifloxacin group and that for the sunitinib group gave ratios of 2.90 (90% CI 1.32, 6.37), 2.45 (1.11, 5.39), 1.58 (0.70, 1.56), respectively. The mean sunitinib tmax was similar for all four groups. The mean Cmax for SU12662 was similar for both the sunitinib + moxifloxacin and sunitinib groups (p = 0.9593). However, the mean Cmax for SU12662 for the groups: sunitinib + ciprofloxacin and sunitinib + levofloxacin were higher (p = 0.0045 and 0.0672, respectively). CONCLUSIONS: The study proved a significant effect of the coadministration of ciprofloxacin and levofloxacin on the pharmacokinetics of sunitinib in rabbits. The influence of moxifloxacin on the pharmacokinetics of sunitinib was insignificant. Therefore, this fluoroquinolone seems to be the most appropriate in combination with this tyrosine kinase inhibitor.

Sunitinib in combination with clarithromycin or azithromycin - is there a risk of interaction or not?

BACKGROUND: Macrolides are the most widely prescribed antibiotics. Clarithromycin is a well-known inhibitor of cytochrome P450 CYP3A4 and causes numerous drug interactions that are not found for azithromycin. CYP3A4 is involved in the metabolism of the new oral multikinase inhibitor sunitinib and its active N-desethyl metabolite (SU012662). This study investigated the effects of oral single dose of clarithromycin or azithromycin on the pharmacokinetics of sunitinib. METHODS: Rabbits were subjected to one of three study drug groups: sunitinib + clarithromycin (n = 6), sunitinib + azithromycin (n = 6), or sunitinib (n = 6). The rabbits were treated with sunitinib in the oral dose of 25 mg. Plasma concentrations of sunitinib were measured with validated HPLC method with UV detection. RESULTS: Comparison of the sunitinib C(max) for the sunitinib + clarithromycin group with that of the sunitinib group gave a ratio of 94.4% [90% confidence interval (CI) (76.1, 117.1)]; for the sunitinib + azithromycin group, the ratio was 106.2% (90% CI 85.5, 131.7). Comparison of the sunitinib AUC(0-t) of the sunitinib + clarithromycin and sunitinib + azithromycin groups with that of the sunitinib group showed ratios of 86.86% (90% CI 69.7, 108.3) and 99.8% (90% CI 80.1, 124.5), respectively. CONCLUSIONS: No significant effect of the coadministration of clarithromycin or azithromycin on the pharmacokinetics of sunitinib in rabbits was found in this study.