Dose recommendations for anticancer drugs in patients with renal or hepatic impairment

Renal or hepatic impairment is a common comorbidity for patients with cancer either because of the disease itself, toxicity of previous anticancer treatments, or because of other factors affecting organ function, such as increased age. Because renal and hepatic function are among the main determinants of drug exposure, the pharmacokinetic profile might be altered for patients with cancer who have renal or hepatic impairment, necessitating dose adjustments. Most anticancer drugs are dosed near their maximum tolerated dose and are characterised by a narrow therapeutic index. Consequently, selecting an adequate dose for patients who have either hepatic or renal impairment, or both, is challenging and definitive recommendations on dose adjustments are scarce. In this Review, we discuss the effect of renal and hepatic impairment on the pharmacokinetics of anticancer drugs. To guide clinicians in selecting appropriate dose adjustments, information from available drug labels and from the published literature were combined to provide a practical set of recommendations for dose adjustments of 160 anticancer drugs for patients with hepatic and renal impairment

Plasma concentrations of tyrosine kinase inhibitors imatinib, erlotinib, and sunitinib in routine clinical outpatient cancer care

BACKGROUND: The objectives of this study were to evaluate the plasma concentrations of the tyrosine kinase inhibitors (TKIs), imatinib, erlotinib, and sunitinib, in a cohort of patients with cancer in routine clinical practice and to find the possible factors related to plasma concentrations below the target level. METHODS: An observational study was performed in an unselected cohort of patients using TKIs for cancer treatment. Randomly timed plasma samples were drawn together with regular laboratory investigations during routine outpatient clinic visits. The plasma concentrations of TKIs were determined using a validated high-performance liquid chromatography coupled with tandem mass spectrometry detection method. Trough concentrations were estimated using the interval between the last dose intake and blood sampling and the mean elimination half-life of the TKIs and were compared with target trough concentrations. Outpatient medical records were reviewed to collect data on patient- and medication-related factors that could have contributed to the variation in TKI plasma concentrations. RESULTS: Only 26.8%, 88.9%, and 51.4% of the calculated trough plasma concentrations of imatinib, erlotinib, and sunitinib samples, respectively, reached the predefined target concentration (imatinib: 1100 ng/mL, erlotinib: 500 ng/mL, and sunitinib: 50 ng/mL). Interpatient variability was high with coefficients of variation of 39.1%, 40.1%, and 29.2% for imatinib, erlotinib, and sunitinib, respectively. High variation in plasma concentrations could only partly be explained by patient- or medication related factors. CONCLUSIONS: Almost half of the plasma concentrations in the outpatient population seemed to be below the target level with a risk of treatment failure. It is not possible to predict which patients are at a risk of plasma concentrations below the target level based on patient- or medication-related factors. Thus, therapeutic drug monitoring could play a crucial role in routine cancer care to identify patients that are in need of individual adjusted dosages. Further research is required to investigate the safety and efficacy of therapeutic drug monitoring

Plasma concentrations of tyrosine kinase inhibitors imatinib, erlotinib, and sunitinib in routine clinical outpatient cancer care

BACKGROUND: The objectives of this study were to evaluate the plasma concentrations of the tyrosine kinase inhibitors (TKIs), imatinib, erlotinib, and sunitinib, in a cohort of patients with cancer in routine clinical practice and to find the possible factors related to plasma concentrations below the target level. METHODS: An observational study was performed in an unselected cohort of patients using TKIs for cancer treatment. Randomly timed plasma samples were drawn together with regular laboratory investigations during routine outpatient clinic visits. The plasma concentrations of TKIs were determined using a validated high-performance liquid chromatography coupled with tandem mass spectrometry detection method. Trough concentrations were estimated using the interval between the last dose intake and blood sampling and the mean elimination half-life of the TKIs and were compared with target trough concentrations. Outpatient medical records were reviewed to collect data on patient- and medication-related factors that could have contributed to the variation in TKI plasma concentrations. RESULTS: Only 26.8%, 88.9%, and 51.4% of the calculated trough plasma concentrations of imatinib, erlotinib, and sunitinib samples, respectively, reached the predefined target concentration (imatinib: 1100 ng/mL, erlotinib: 500 ng/mL, and sunitinib: 50 ng/mL). Interpatient variability was high with coefficients of variation of 39.1%, 40.1%, and 29.2% for imatinib, erlotinib, and sunitinib, respectively. High variation in plasma concentrations could only partly be explained by patient- or medication related factors. CONCLUSIONS: Almost half of the plasma concentrations in the outpatient population seemed to be below the target level with a risk of treatment failure. It is not possible to predict which patients are at a risk of plasma concentrations below the target level based on patient- or medication-related factors. Thus, therapeutic drug monitoring could play a crucial role in routine cancer care to identify patients that are in need of individual adjusted dosages. Further research is required to investigate the safety and efficacy of therapeutic drug monitoring

Concentrations of Erlotinib in Tumor Tissue and Plasma in Non-Small-Cell Lung Cancer Patients After Neoadjuvant Therapy

INTRODUCTION: Tumors might not optimally respond to systemic therapy if minimal effective levels are not reached within the tumor. Erlotinib has mainly been studied in the adjuvant or palliative setting and, therefore, little is known about erlotinib tumor penetration. The purpose of this exploratory study was to investigate lung tumor tissue erlotinib concentrations after neoadjuvant therapy for non-small-cell lung cancer. PATIENTS AND METHODS: Patients were treated preoperatively with erlotinib (150 mg once daily for 3 weeks) up to 48 hours before surgery. Plasma samples were collected during treatment. Surgical resection involved radical resection of the lung tumor and tumor biopsies were frozen directly after surgery. Erlotinib and O-desmethyl erlotinib concentrations in lung tumor tissue and predose plasma were determined using high performance liquid chromatography coupled with tandem mass spectrometry. RESULTS: Thirteen evaluable patients were included. The mean plasma and lung tumor tissue erlotinib levels were 1222 ng/mL (SD, 678) and 149 ng/g (SD, 153), respectively. In 2 individual patients, erlotinib and O-desmethyl erlotinib concentrations in lung tumor tissue were detectable up to 13 days and 7 days after erlotinib intake, respectively. Mean erlotinib tissue concentrations extrapolated to a time point directly after intake of erlotinib were approximated at > 200 ng/g tissue, which is greater than the reported half maximal inhibitory concentration (IC50) of wild type epidermal growth factor receptor (EGFR) (183 ng/mL). CONCLUSION: No strong accumulation of erlotinib in lung tumor tissue was observed. Nevertheless, extrapolated intratumoral concentrations during erlotinib therapy were greater than the IC50 of wild type EGFR

The effect of seasonal variation and secretion of sunitinib in sweat on the development of hand-foot syndrome

Item does not contain fulltextBACKGROUND: Hand-foot syndrome (HFS) is a side effect of sunitinib with considerable impact on quality of life. Seasonal variation and hyperhydrosis are possibly correlated to occurrence of HFS. Therefore, we proposed to study the prevalence of HFS in different seasons retrospectively and to study the relationship between sunitinib sweat secretion and HFS prospectively. PATIENTS AND METHODS: A retrospective cohort of 19 patients treated with sunitinib was used to determine seasonal prevalence of HFS. In a prospective study, sunitinib and N-desethyl sunitinib levels in sweat patches of 25 patients treated with sunitinib were quantified and correlated to severity of HFS. RESULTS: In the retrospective cohort, the patients suffered from more severe HFS during summertime compared with the rest of the year. In the prospective study, the cumulative amounts of sunitinib plus metabolite measured in the patches of the on-treatment phase (median 129.4 ng/patch) were higher than the off-treatment phase (median 39.5 ng/patch). A tendency was observed towards increasing amounts of drug per patch with increasing severity of HFS. CONCLUSION: Patients experienced more HFS in summer time compared to other seasons. However, no statistically significant correlation between sunitinib sweat secretion and severity of HFS could be demonstrated within our patient cohort