1.
Effect of high-fat diet on the pharmacokinetics and safety of flumatinib in healthy Chinese subjects.
Kuang, Y, Song, HL, Yang, GP, Pei, Q, Yang, XY, Ye, L, Yang, S, Wu, ST, Guo, C, He, QN, et al
Cancer chemotherapy and pharmacology. 2020;(3):339-346
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Abstract
PURPOSE To evaluate the effect of a high-fat diet on the pharmacokinetics and safety of flumatinib mesylate tablets in healthy Chinese subjects. METHODS This study was a randomized, open-label, single-dose, two-period crossover trial in which subjects were randomly assigned to take 400 mg of flumatinib mesylate after a high-fat diet or a fasted state. After a 14-day washout period, the two groups were administered flumatinib mesylate under opposite conditions. Blood samples were collected at baseline 0 and 0.5, 1, 1.5, 2, 2.5, 3, 4, 5, 6, 8, 10, 12, 24, 48, 72, and 96 h, respectively. Plasma concentrations of flumatinib and its metabolites (M1 and M3) were analyzed using liquid chromatography-mass spectrometry. Pharmacokinetic parameters were calculated using the non-compartmental module of the Phoenix WinNonlin Version 7.0 software. BE module of WinNonLin was used for statistical analysis of AUC0-t, AUC0-∞ and Cmax in plasma. RESULTS Twelve healthy subjects, half male and half female, were enrolled. One subject withdrew due to a treatment-emergent adverse event. Eleven subjects were administered drugs on fasting and 12 were administered drugs after a high-fat diet. On high-fat diet/fasting, the least square geometric mean (LSGM) ratios of flumatinib, M1, M3, and their 90% confidence interval (CI) were as follows: for flumatinib, Cmax, AUC0-t and AUC0-∞ were 281.65% (225.80-351.31%), 167.43% (143.92-194.79%), and 166.87% (143.47-194.09%); for M1, Cmax, AUC0-t, and AUC0-∞ were 188.59% (145.29-244.79), 163.94% (149.11-180.24%), and 164.48% (150.36-179.94%); for M3, Cmax, AUC0-t, and AUC0-∞ were 63.47% (54.02-74.57%), 85.23% (74.72-97.22%), and 96.73% (86.63-108.02%). CONCLUSION Among the subjects, oral administration of 400 mg of flumatinib was safe and well tolerated. High-fat diet significantly increases the exposure to flumatinib, therefore, fasting may be recommended. CLINICAL TRIAL REGISTRATION The study was registered at chictr.org Identifier: ChiCTR-IIR-17013179.
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Expression of PBRM1 as a prognostic predictor in metastatic renal cell carcinoma patients treated with tyrosine kinase inhibitor.
Cai, W, Wang, Z, Cai, B, Yuan, Y, Kong, W, Zhang, J, Chen, Y, Liu, Q, Huang, Y, Huang, J, et al
International journal of clinical oncology. 2020;(2):338-346
Abstract
OBJECTIVE PBRM1, located on 3p21, functions as a tumor suppressor and somatic mutation of PBRM1 is frequent in clear cell renal cell carcinoma (ccRCC). This study aims to determine the influence of PBRM1 expression on the prognosis of patients with mRCC receiving tyrosine kinase inhibitor (TKI) treatment. METHODS We identified 116 mRCC patients who were administered sunitinib or sorafenib as first-line therapy, between January 2006 and December 2016 at our institution. PBRM1 expression was assessed by immunohistochemistry. The Kaplan-Meier method was used to estimate the progression-free survival (PFS) and overall survival (OS), log-rank test was used to compare the survival outcomes between patients with low and high PBRM1 expression levels, and the Cox proportional hazard regression model was used to estimate the prognostic value. Prognostic accuracy was determined using Harrell concordance index, and nomograms were built to evaluate the prognosis of mRCC. RESULTS Patients with low PBRM1 expression had significantly shorter median PFS (9 vs 26 months, P < 0.001) and OS (21 vs 44 months, P < 0.001) than those with high expression. Multivariate analysis showed that PBRM1 expression was an independent predictor of PFS (HR 1.975, P = 0.013) and OS (HR 2.282, P = 0.007). The model built by the addition of PBRM1 improved the C-index of PFS and OS to 0.72 and 0.82, respectively. CONCLUSIONS The expression of PBRM1 could be a significant prognostic factor for mRCC patients treated with targeted therapy, and it increases the prognostic accuracy of the established prognostic model.
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Treatment of Aggressive Thyroid Cancer.
Huang, J, Harris, EJ, Lorch, JH
Surgical pathology clinics. 2019;(4):943-950
Abstract
Although thyroid cancer generally has a good prognosis, there is a subset of patients for whom standard care (ie, treatment limited to surgery or surgery plus radioactive iodine) is either not appropriate because of the aggressive nature of their disease or not sufficient because of disease progression through standard treatment. Most of these tumors are in 3 groups: radioactive iodine-refractory differentiated thyroid carcinoma including poorly differentiated thyroid carcinoma anaplastic thyroid carcinoma, and progressive medullary thyroid carcinoma. Major classes of treatments in clinical development for these aggressive thyroid tumors include tyrosine kinase inhibitors, mammalian target of rapamycin inhibitors, and mitogen-activated protein kinase kinase inhibitors.