Abstract
Brain metastases are a common cause of death in stage IV metastatic melanoma. Dabrafenib is a BRAF (gene encoding serine/threonine-protein kinase B-Raf) inhibitor that has been developed to selectively target the valine 600 to glutamic acid substitution (BRAFV600E), which is commonly found in metastatic melanoma. Clinical trials with dabrafenib have shown encouraging results; however, the central nervous system distribution of dabrafenib remains unknown. Thus, the objective of the current study was to evaluate the brain distribution of dabrafenib in mice, and to see whether active efflux by P-glycoprotein (P-gp) and breast cancer resistance protein (BCRP) restricts its delivery across the blood-brain barrier (BBB). In vitro accumulation studies conducted in Madin-Darby canine kidney II cells indicate that dabrafenib is an avid substrate for both P-gp and BCRP. Directional flux studies revealed greater transport in the basolateral to apical direction with corrected efflux ratios greater than 2 for both P-gp and Bcrp1 transfected cell lines. In vivo, the ratio of area under the concentration-time curve (AUC)brain to AUCplasma (Kp) of dabrafenib after an i.v. dose (2.5 mg/kg) was 0.023, which increased by 18-fold in Mdr1 a/b−/−Bcrp1−/− mice to 0.42. Dabrafenib plasma exposure was ∼2-fold greater in Mdr1 a/b−/−Bcrp1−/− mice as compared with wild-type with an oral dose (25 mg/kg); however, the brain distribution was increased by ~10-fold with a resulting Kp of 0.25. Further, compared with vemurafenib, another BRAFV600E inhibitor, dabrafenib showed greater brain penetration with a similar dose. In conclusion, the dabrafenib brain distribution is limited in an intact BBB model, and the data presented herein may have clinical implications in the prevention and treatment of melanoma brain metastases.
Introduction
Melanoma is the most aggressive form of skin cancer, as it accounts for more than 80% of deaths due to skin cancer. The incidence of melanoma has greatly increased over the past decade (Siegel et al., 2011). Extensive data in the literature point to the key role of the mitogen-activated protein kinase (MAPK) pathway in melanoma pathogenesis. The MAPK pathway is involved in regulation of melanoma cell proliferation, growth, and survival. The downstream effectors of this signaling cascade include RAS-RAF-MEK-ERK (McCubrey et al., 2008). BRAF is a commonly mutated protein in melanoma, with ~80% carrying a V600E (BRAFV600E) mutation (Davies et al., 2002). Thus, targeting this pathway represents an attractive therapeutic approach for melanoma.
Until recently, treatment options for melanoma were limited, with no improvement in overall survival rates (Tsao et al., 2004; Garbe et al., 2011). However, in recent years, there has been a tremendous improvement in the treatment of melanoma. Targeting BRAFV600E has proved to be a major advancement in the field of melanoma treatment (Flaherty et al., 2012; Sosman et al., 2012). For example, the recently U.S. Food and Drug Administration (FDA)–approved drug vemurafenib, a BRAFV600E inhibitor, showed remarkable efficacy against peripheral metastases (Chapman et al., 2011). However, brain metastases are prevalent in stage IV metastatic melanoma. This situation is alarming because ~50–75% of melanomas metastasize to the brain (Fife et al., 2004), and among those patients who have brain metastases, ~90% succumb to death (Skibber et al., 1996). The efficacy of vemurafenib in brain metastases of melanoma is under clinical investigation. Recent preclinical studies have indicated that vemurafenib distribution is restricted at the blood-brain barrier (BBB) (Durmus et al., 2012; Mittapalli et al., 2012).
Dabrafenib (GSK2118436A; Fig. 1) targets both BRAFV600E and BRAFV600K. Dabrafenib showed very encouraging results in a phase 1 dose-escalation study (Falchook et al., 2012; Hauschild et al., 2012). The safety and clinical response of dabrafenib against peripheral metastases is comparable with that of vemurafenib, with an objective response of ~56% (Gibney and Sondak, 2012; Hauschild et al., 2012). Further, ~90% (9 out of 10 patients) of the patients with melanoma brain metastases had a reduction in tumor size (Falchook et al., 2012). However, important questions remain about the effective delivery to all sites of brain metastases, especially to the micrometastases which are situated beyond an intact BBB. In a recent study, using a preclinical model of brain metastases from breast cancer, it was shown that the blood-tumor barrier remains a significant impediment to chemotherapeutic drugs (Lockman et al., 2010). However, to date, there are no data available in terms of drug delivery to brain metastases of melanoma. Further, it was shown that treatment of peripheral disease with targeted therapy increases the incidence of brain metastases (Rochet et al., 2012). A phase 2 clinical trial evaluating the efficacy of dabrafenib in brain metastases of melanoma is underway (Long et al., 2012; http//www.clinicaltrials.gov identifier: NCT01266967). With this perspective, it is imperative to study the brain distribution of dabrafenib to provide a rationale to support clinical trials.
A critical challenge in treating brain metastases, or any neurologic disorder, is the delivery of drugs to the central nervous system (CNS). The BBB, an interface between blood and the brain, helps maintain homeostasis of the CNS, and protects the brain from harmful toxins, metals, and infectious agents (Deeken and Loscher, 2007). Together with capillary endothelial cells and tight junctions, it acts as a physical barrier (Hawkins and Davis, 2005). Further, with the expression of active efflux transporters such as P-glycoprotein (P-gp) and breast cancer resistance protein (BCRP), it acts as a functional barrier (Schinkel and Jonker, 2003). Several anticancer agents have been shown to be substrates for both P-gp and BCRP, and as such, the brain distribution of these molecules is limited because of active efflux at the BBB (de Vries et al., 2007; Polli et al., 2009; Agarwal et al., 2010, 2011; Mittapalli et al., 2012).
In our previous study, we demonstrated that the brain distribution of vemurafenib is severely restricted at the BBB due to active efflux by both P-gp and BCRP (Mittapalli et al., 2012). Given the highly encouraging clinical results with dabrafenib, the aim of the present study was to evaluate the brain distribution of dabrafenib in mice, with the hope that these preclinical data would help in further improvement of a durable response in melanoma brain metastases patients. Using both in vitro transport studies and in vivo pharmacokinetic studies, we show that dabrafenib is a substrate for both P-gp and Bcrp, and as such, its brain distribution is limited in an intact BBB model. The data presented in this paper have clinical implications in the prevention or treatment of melanoma brain metastases because of concerns that subtherapeutic concentrations in the brain or at sites of micrometastases with an intact BBB would result in limited antitumor activity.
Materials and Methods
Chemicals
Dabrafenib (GSK2118436A) was purchased from ChemieTek (Indianapolis, IN). [3H]-Vinblastine and [3H]-mitoxantrone were purchased from Moravek Biochemicals (La Brea, CA). [3H]-Prazosin was purchased from PerkinElmer Life and Analytical Sciences (Waltham, MA). [14C]-Inulin was purchased from American Radiolabeled Chemicals, Inc. (St. Louis, MO). Ko143 [(3S,6S,12aS)-1,2,3,4,6,7,12,12a-octahydro-9-methoxy-6-(2-methylpropyl)-1,4-dioxopyrazino(1',2':1,6) pyrido(3,4-b)indole-3-propanoic acid 1,1-dimethylethyl ester] was purchased from Tocris Bioscience (Ellisville, MO). Zosuquidar [LY335979, (R)-4-([1aR, 6R,10bS]-1,2-difluoro-1,1a,6,10b-tetrahydrodibenzo-[a,e] cyclopropa [c]cycloheptan-6-yl)-([5-quinoloyloxy] methyl)-1-piperazine ethanol, trihydrochloride] was provided Eli Lilly and Co. (Indianapolis, IN). All other chemicals used were of high-performance liquid chromatography or reagent grade and were obtained from Sigma-Aldrich (St. Louis, MO).
In Vitro Studies
Polarized Madin-Darby canine kidney II (MDCKII) cells were used for all in vitro studies. MDCKII–wild-type (WT) and Bcrp1-transfected (MDCKII-Bcrp1) cells were a gift from Dr. Alfred Schinkel (The Netherlands Cancer Institute, Amsterdam, The Netherlands). MDCKII-WT and gene encoding the human P-glycoprotein (MDR1)-transfected (MDCKII-MDR1) cell lines were provided by Dr. Piet Borst (The Netherlands Cancer Institute). Cells were cultured in Dulbecco’s modified Eagle’s medium supplemented with 10% (v/v) fetal bovine serum and antibiotics (penicillin, 100 U/ml; streptomycin, 100 µg/ml; and amphotericin B, 250 ng/ml). Cells were grown in 25 ml of tissue culture–treated flasks before seeding for the experiments, and were maintained at 37°C in a humidified incubator with 5% CO2. The growth media for MDCKII-MDR1 additionally contained 80 ng/ml of colchicine to maintain positive selection pressure of P-gp expression.
In Vitro Cellular Accumulation.
Cellular accumulation studies were performed in 12-well polystyrene plates with a seeding density of 2 × 105 cells per well, and the medium was changed every other day until confluent monolayers were formed. The cells were washed two times with warm cell assay buffer (122 mM NaCl, 25 mM NaHCO3, 10 mM glucose, 10 mM HEPES, 3 mM KCl, 2.5 mM MgSO4, 1.8 mM CaCl2, and 0.4 mM K2HPO4) on the day of the experiment and preincubated with cell assay buffer for 30 minutes. The cell assay buffer was aspirated after the preincubation period, and the experiment was initiated by adding 1 ml of 2 µM dabrafenib to each well and further incubated for 60 minutes in an orbital shaker (60 rpm) that was maintained at 37°C. At the end of the 60-minute accumulation, the experiment was ended by aspirating the dabrafenib solution followed by washing twice with ice-cold phosphate-buffered saline (PBS). Cell lysis was accomplished by adding 0.5 ml of 1% Triton-X100 (Sigma-Aldrich). When the inhibitor was present, it was included in both preincubation and the accumulation steps. The concentration of dabrafenib in solubilized cell fractions was analyzed using liquid chromatography–tandem mass spectrometry (LC-MS/MS) as described later, and was normalized to the protein content.
Bcrp and P-gp Inhibition Studies.
Inhibition studies were performed using prototypical probe substrates, [3H]-prazosin, or [3H]-mitoxantrone for Bcrp and [3H]-vinblastine for P-gp. The intracellular accumulation of these probe substrates was evaluated in the presence of varying concentrations of dabrafenib ranging from 0.1 to 50 µM. Briefly, the cells were preincubated with increasing concentrations of dabrafenib for 30 minutes. After preincubation, the cells were incubated with radiolabeled probe substrate along with increasing concentrations of dabrafenib for 60 minutes. At the end of the incubation period, the radiolabeled probe substrate was aspirated; cell lysis was accomplished using 1% Triton-X100. The radioactivity in solubilized cell fractions was determined by liquid scintillation counting (LS-6500; Beckman Coulter, Fullerton, CA). The radioactivity in cell fractions was normalized to protein concentrations in each well. The increase in cellular accumulation of probe substrate as compared with control (no treatment with dabrafenib) was measured and reported as a function of dabrafenib concentration.
Directional Flux Studies.
The bidirectional transport assays were performed in 12-well Transwell plates (polyester membrane, 0.4-µM pore size, 1.12-cm2 growth surface area; Corning Inc., Corning, NY). The cells were seeded at a density of 2 × 105 cells per well, and the medium was changed every other day until confluent monolayers were formed. The monolayer tightness was assessed by measurement of transepithelial electrical resistance. In parallel, the cell monolayer integrity was evaluated by analyzing the leakage of [14C]-inulin using the same passage cells seeded on the same day and at the same density.
On the day of the experiment, the cell monolayers were washed with prewarmed cell assay buffer and preincubated for 30 minutes, after which the experiment was initiated by adding 5 µM dabrafenib solution in cell assay buffer to the donor compartment. Samples (100 µl) were collected from the receiver compartment at 60, 120, and 180 minutes and replaced immediately with drug-free cell assay buffer. In addition, at the beginning of the experiment, 100 µl of sample was collected from the donor compartment and replaced with 100 µl of drug solution. The Transwell assay plates were incubated in an orbital shaker (60 rpm) maintained at 37°C for the duration of the experiment, except for the brief sampling times. In the inhibition experiments, either 0.2 µM Ko143 (selective Bcrp inhibitor) or 1 µM zosuquidar (selective P-gp inhibitor) was added to both apical (A) and basolateral (B) compartments. Dabrafenib concentration was measured by LC-MS/MS. The apparent permeability (Papp), in the A-to-B and B-to-A directions, was calculated as follows: Papp = (dQ/dt) (1/A × C0), where dQ/dt is the slope obtained from the initial linear range from the amount transported versus time graph, A is the area of the Transwell membrane, and C0 is the initial donor concentration. The efflux ratio and the corrected efflux ratio were calculated as follows: efflux ratio = [Papp (B → A) / Papp (A → B)] and corrected efflux ratio = (efflux ratio in transfected cells) / (efflux ratio in wild-type cells), where A→B represents permeability in the apical to basolateral direction and B→A represents permeability in the basolateral to apical direction.
Equilibrium Dialysis Experiments.
Unbound fractions in mouse plasma and brain homogenates were determined using equilibrium dialysis cassettes (Fisher Scientific, Waltham, MA; Acrylic, 1 ml) as described by Kalvass et al. (2007). For initial pilot studies, commercial mouse plasma (Valley Biomedical, Winchester, VA) and pooled brain homogenates from wild-type and knockout mice were used to determine the time to reach equilibrium (Supplemental Fig. 3). Once the time to reach equilibrium was determined, the free fraction experiments were performed in plasma and brains isolated freshly from either wild-type or Mdr1a/b−/−Bcrp1−/− mice. Spectra/por dialysis membranes (molecular weight cutoff: 12\x{2013}14 kDa; Spectrum Laboratories, Inc., Rancho Dominguez, CA) were equilibrated in high-performance liquid chromatography water for 30 minutes followed by 30 minutes in extracellular fluid buffer (pH 7.4). Three volumes of ECF buffer was added to the brain tissue and homogenized to attain a uniform homogenate. Dabrafenib was added to plasma and brain homogenate to achieve a final concentration of 2 µM; 1 ml (n = 3) was loaded into the equilibrium dialysis cassette and dialyzed against an equal volume of ECF buffer (pH 7.4) in an orbital shaker (200 rpm) maintained at 37°C. Equilibrium was achieved in ~6 hours in both plasma and brain homogenates (Supplemental Fig. 3). At the end of the experiment, matrix (plasma or brain homogenate) and buffer samples were removed from the dialysis cassette, and the concentrations of dabrafenib were measured using LC-MS/MS.
In Vivo Studies
All of the in vivo studies were performed in Friend leukemia virus strain B (FVB; wild-type) and Mdr1a/b−/−Bcrp1−/− (triple knockout) mice of either sex from an FVB genetic background (Taconic Farms, Germantown, NY). All animals were 8–10 weeks old at the time of the experiment. Animals were maintained in a 12-hour light/dark cycle with unlimited access to food and water. All studies were carried out in accordance with the guidelines set by the Principles of Laboratory Animal Care (National Institutes of Health, Bethesda, MD) and approved by the Institutional Animal Care and Use Committee of the University of Minnesota.
Plasma and Brain Pharmacokinetics of Dabrafenib after Intravenous and Oral Administration.
All dosing formulations of dabrafenib were prepared on the day of the experiment. Dabrafenib dosing formulations were prepared either as a solution in a vehicle containing dimethylsulfoxide, propylene glycol, and water (40:40:20; for i.v. dosing studies) or as a stable suspension in 1% carboxymethyl cellulose (for oral dosing studies).
In the first study, an i.v. dose of 2.5 mg/kg was administered to FVB wild-type and Mdr1a/b−/−Bcrp1−/− mice via the tail vein. Blood and brain samples were collected 5, 15, 30, 60, and 120 minutes postdose (n = 4 at each time point). Animals were euthanized using a CO2 chamber at the desired time point. Blood was collected by cardiac puncture, and plasma was harvested. The whole brain was removed from the skull and washed with ice-cold PBS; superficial meninges were removed by blotting with tissue paper. Plasma and brain specimens were stored at −80°C until further analysis.
In another study, 25 mg/kg of dabrafenib was administered to FVB wild-type and Mdr1a/b−/−Bcrp1−/− mice via oral gavage. Blood and brain samples were harvested at 15, 30, 60, 120, and 240 minutes postdose (n = 4 at each time point) as described previously. Brain concentrations were corrected for residual drug in brain vasculature assuming a vascular volume of 1.4% in mouse brain (Dai et al., 2003).
LC-MS/MS Analysis.
The concentrations of dabrafenib from all in vitro and in vivo studies were determined using a specific and sensitive LC-MS/MS assay. Brain samples were thawed to room temperature and homogenized with 3 volumes of 5% bovine serum albumin in PBS. An aliquot of sample (cell lysate, cell assay buffer, plasma, or brain homogenate) was spiked with 10 ng of internal standard [AG1478; (4-[3-chloroanilino]-6,7-dimethoxyquinazoline)], and liquid-liquid extraction was performed by addition of 10 volumes of ethyl acetate. After extraction, the supernatant organic layer was transferred to a microcentrifuge tube and dried under a gentle stream of nitrogen. The dried sample was reconstituted in 100 µl of mobile phase, vortex mixed, centrifuged, and transferred to auto sampler vials, and a 5-µl sample was injected onto a Zorbax Eclipse XDB-C18 column (4.6 × 50 mm, 1.8-µm particle size; Agilent Technologies, Santa Clara, CA). The aqueous mobile phase (A) was 20 mM ammonium formate with 0.1% formic acid, and the organic mobile phase (B) was acetonitrile. The gradient was as follows: 50% B for the first 3 minutes, increased to 90% B from 3 to 3.5 minutes, maintained at 90% B for 3 minutes, and decreased to 50% B within 0.5 minutes. The total run time was 11 minutes with a flow rate of 0.35 ml/min. The ionization was conducted in positive mode, and the m/z transitions were 520.122 → 307.007 and 316.068 → 299.993 for dabrafenib and AG1478, respectively. The retention time of dabrafenib was 6.8 minutes and that of AG1478 was 2.8 minutes. The assay was sensitive and linear over a range of 2 ng/ml to 2 µg/ml, with the coefficient of variation being less than 20% over the entire range.
Pharmacokinetic Calculations.
Pharmacokinetic parameters and metrics from the concentration-time data in plasma and brain were obtained by noncompartmental analysis performed using Phoenix WinNonlin 6.2 (Pharsight, Mountain View, CA). The area under the concentration-time profiles for plasma (AUCplasma) and brain (AUCbrain) were calculated using the linear trapezoidal method. The sparse sampling module in WinNonlin 6.2 was used to estimate the standard error around the mean of the AUCs (Bailer, 1988; Nedelman et al., 1995).
Statistical Analysis.
Data in all experiments represent the mean ± S.D. unless otherwise indicated. One-way analysis of variance, followed by Bonferroni’s multiple comparisons test, was used to compare multiple groups. Comparisons between two groups were made using an unpaired t test. A significance level of P < 0.05 was used for all experiments. (GraphPad Prism 5.01 software; GraphPad, San Diego, CA).
Results
In Vitro Accumulation of Dabrafenib in MDCKII-Bcrp1 and MDCKII-MDR1 Cells.
The cellular accumulation of dabrafenib in MDCKII-wild-type, Bcrp1-transfected, and MDR1-transfected cell lines is summarized in Fig. 2. [3H]-Prazosin and [3H]-vinblastine were used as positive controls for Bcrp and MDR1, respectively, and as expected, the cellular accumulation of these probe substrates was significantly lower as compared with wild-type controls (WT: 100 ± 8; Bcrp1: 16.7 ± 1.4; MDR1: 11.6 ± 3.1), confirming significant transporter activity in these transfected cell lines. We chose a concentration of 2 µM for dabrafenib accumulation studies, as the pilot studies revealed that no saturation of transporters occurs up to 75 µM of dabrafenib (Supplemental Fig. 1). Dabrafenib accumulation was significantly lower in Bcrp1 cells (Fig. 2A; Bcrp: 11.3 ± 1.4; WT: 100 ± 10; P < 0.001) when compared with corresponding wild-type controls. The addition of 0.2 µM Ko143, a specific Bcrp1 inhibitor, increased dabrafenib accumulation, such that it was not significantly different from the wild-type controls. Likewise, dabrafenib accumulation in MDR1-transfected cell lines (Fig. 2B) was ~65% lower when compared with wild-type controls, and the difference was abolished when 1 µM LY335979 was used. These data indicate that dabrafenib is a substrate for both P-gp and Bcrp1, and inhibition of these efflux transporters enhances the cellular delivery of dabrafenib.
Competition Assays Using Prototypical Probe Substrates.
The effect of increasing concentrations of dabrafenib on the cellular accumulation of prototypical probe substrates (prazosin or mitoxantrone for Bcrp, vinblastine for P-gp) was assessed in MDCKII–wild-type, Bcrp1-transfected, and MDR1-transfected cell lines. Increasing concentrations of dabrafenib did not increase the accumulation of [3H]-prazosin in Bcrp cells or the respective wild-type control cells (Fig. 3A). Similarly, increasing dabrafenib concentrations did not increase the accumulation of [3H]-vinblastine until 25 µM was reached; however, at 50 µM dabrafenib, vinblastine accumulation increased ~1.5- and 2.5-fold in wild-type and MDR1 cells, respectively (Fig. 3B). Furthermore, dabrafenib did not change the cellular accumulation of mitoxantrone in Bcrp1 cells (Supplemental Fig. 2).
Directional Transport Studies.
The directional transport of dabrafenib was assessed using monolayers of MDCKII–wild-type, Bcrp1-transfected, and MDR1-transfected lines grown on Transwell permeable membranes. Confluent monolayers were formed in 3–4 days with intact tight junctions. Paracellular leakage was assessed by measuring the transport of [14C]-inulin across the cell monolayers, and the inulin transported in 60 minutes was found to be less than 1%. The directional permeability of dabrafenib was very similar between the A-to-B and B-to-A directions in the wild-type cells (11.5 ± 1.4 versus 14.1 ± 1.4 × 10−6 cm/s, respectively; Table 1). However in the Bcrp1-transfected cell line, the apparent permeability of dabrafenib in the B-to-A direction was significantly higher than the permeability in the A-to-B direction (A-to-B: 1.3 ± 0.3; B-to-A: 27.3 ± 4.1; P < 0.05; Table 1) with an efflux ratio of 21. Treatment with Ko143 significantly (P < 0.05) reduced the Bcrp1-mediated efflux of dabrafenib in the B-to-A direction and increased the A-to-B permeability with a resulting efflux ratio of 0.7. The corrected efflux ratio was found to be ~18 for Bcrp1-mediated transport. Similarly, in MDR1 cells, the B-to-A permeability was significantly higher compared with A-to-B permeability, with an efflux ratio of 11. Addition of LY335979, a specific P-gp inhibitor, abolished the difference in directional permeabilities with a resulting efflux ratio of 1 (Table 2). The corrected efflux ratio was ~4. These results conclusively indicate that dabrafenib is an avid substrate for both Bcrp1 and P-gp.
TABLE 1.
Cell Line | Papp
|
ER | CFR | |
---|---|---|---|---|
A-to-B | B-to-A | |||
cm/s ×10−6 | cm/s ×10−6 | |||
MDCKII-WT | 11.5 ± 1.4 | 14.1 ± 1.4 | 1.2 | — |
MDCKII-WT + 0.2 μM Ko143 | 16.4 ± 0.9 | 15.3 ± 2.6 | 0.9 | |
MDCKII-Bcrp1 | 1.3 ± 0.3a | 27.3 ± 4.1a | 21.0 | 17.5 |
MDCKII-Bcrp1 + 0.2 μM Ko143 | 13.2 ± 2.1b | 9.6 ± 0.33b | 0.7 |
A, apical; B, basolateral; Bcrp1, breast cancer resistance protein 1; CFR, corrected efflux ratio; ER, efflux ratio; MDCKII, Madin-Darby canine kidney II; Papp, apparent permeability of dabrafenib; WT, wild type.
Significantly different compared with respective wild-type control cells.
Significantly different compared with untreated Bcrp1 control cells.
TABLE 2.
Cell Line | Papp
|
ER | CFR | |
---|---|---|---|---|
A-to-B | B-to-A | |||
cm/s ×10−6 | cm/s ×10−6 | |||
MDCKII-WT | 2.6 ± 1.0 | 7.7 ± 1.6 | 3.0 | — |
MDCKII-WT + 1 μM LY335979 | 5.5 ± 0.4 | 5.2 ± 0.7 | 0.90 | |
MDCKII-MDR1 | 0.7 ± 0.3a | 7.9 ± 1.9 | 11.4 | 3.8 |
MDCKII-MDR1 + 1 μM LY335979 | 4.9 ± 0.52b | 5.2 ± 1.4 | 1.1 |
A, apical; B, basolateral; CFR, corrected efflux ratio; ER, efflux ratio; MDCKII, Madin-Darby canine kidney II; Papp, apparent permeability of dabrafenib; WT, wild type.
Significantly different compared with respective wild-type control cells.
Significantly different compared with untreated MDR1 control cells.
Plasma Protein and Brain Tissue Binding.
Since it is the unbound drug concentration that results in pharmacological action, we determined the free fraction (fu) in plasma and brain tissue homogenates. Dabrafenib is highly bound to plasma proteins as well as brain tissue. No significant difference was observed in free fraction in plasma and brain tissue homogenate when compared between wild-type and Mdr1a/b−/−Bcrp1−/− mice genotypes (wild-type: fu, plasma = 0.004 ± 0.001, fu,brain homogenate = 0.02 ± 0.003; Mdr1a/b−/−Bcrp1−/−: fu, plasma = 0.006 ± 0.004, (fu,brain homogenate = 0.02 ± 0.005).
Brain Distribution of Dabrafenib in FVB Wild-Type and Mdr1a/b−/−Bcrp1−/− Mice.
The brain and plasma dabrafenib concentration time profiles after an i.v. dose of 2.5 mg/kg in FVB wild-type mice are summarized in Fig. 4. The brain concentrations of dabrafenib were significantly lower than the corresponding plasma concentrations at all measured time points. The pharmacokinetic parameters are summarized in Table 3. The brain-to-plasma partitioning (Kp; AUCbrain / AUCplasma) was found to be 0.023, indicating the limited distribution of dabrafenib to the brain. We also investigated the brain distribution of dabrafenib in Mdr1a/b−/−Bcrp1−/− mice after a 2.5-mg/kg i.v. dose of dabrafenib. The plasma concentrations were no different between wild-type and Mdr1a/b−/−Bcrp1−/− mice (Fig. 5A); however, the brain concentrations of dabrafenib in Mdr1a/b−/−Bcrp1−/− mice (Fig. 5B) were significantly higher than the corresponding brain concentrations observed in wild-type mice. The Kp in Mdr1a/b−/−Bcrp1−/− mice increased to ~0.4, which was 18-fold greater than what was observed in wild-type mice, indicating the influence of P-gp, Bcrp, or both on the brain distribution of dabrafenib.
TABLE 3.
Wild Type |
Mdr1a/b−/−Bcrp1−/− Mice |
|||
---|---|---|---|---|
Plasma | Brain | Plasma | Brain | |
Terminal rate constant (min−1) | 0.03 | 0.036 | 0.024 | 0.026 |
Half-life (min) | 23.7 | 19.1 | 28.3 | 26.6 |
Clearance (ml/min/kg) | 24.2 | 28.4 | ||
Volume of distribution (l/kg) | 0.83 | 1.2 | ||
AUC0 → t last (µg · min /ml)a | 120.9 ± 15.8 | 2.8 ± 0.4 | 101.4 ± 8.7 | 42.1 ± 3.4b |
Kp | 0.023 | 0.42 | ||
Kp ratioc | 18.3 |
AUC, area under the concentration-time curve; FVB, Friend leukemia virus strain B; Kp, AUCbrain/AUCplasma.
Area under the curve from time zero to 2 hours postdose.
P < 0.05 compared with wild-type AUCbrain.
Kp ratio = (Kp in Mdr1a/b−/−Bcrp1−/− mice) / (Kp in wild-type mice).
Dabrafenib is administered to patients orally (Falchook et al., 2012), and we sought to determine the brain and plasma pharmacokinetics after an oral dose. Hence, in a separate study, we investigated the brain distribution of dabrafenib after an oral dose of 25 mg/kg in wild-type and Mdr1a/b−/−Bcrp1−/− mice, and the results are summarized in Fig. 6 and Table 4. The AUCplasma in Mdr1a/b−/−Bcrp1−/− mice (31 ± 5 µg × min/ml) was ~2-fold higher compared with the wild-type mice (16 ± 3 µg × min/ml). This indicates that P-gp and Bcrp may have some influence on the oral absorption or systemic clearance of dabrafenib at a 25 mg/kg dose. Dabrafenib brain concentrations were significantly enhanced in Mdr1a/b−/−Bcrp1−/− mice compared with those in wild-type mice. The AUCbrain in wild-type mice was 0.69 µg × min/ml, which increased approximately 10-fold in Mdr1a/b−/−Bcrp1−/− to 7.6 µg × min/ml. The Kp in wild-type mice was 0.044, which increased 6-fold in Mdr1a/b−/−Bcrp1−/− mice to 0.25. The aggregate of these data suggests that the brain distribution of dabrafenib is significantly limited at the BBB due to active efflux by both P-gp and BCRP after either intravenous or oral administration.
TABLE 4.
Mouse Genotype | Tissue | Cmax | AUClasta | Kp | Kp Ratiob |
---|---|---|---|---|---|
µg/ml | µg × min/ml | ||||
Wild-type | Plasma | 0.143 ± 0.014 | 15.8 ± 3.0 | 0.044 | 5.7 |
Wild-type | Brain | 0.007 ± 0.001 | 0.69 ± 0.22 | ||
Mdr1a/b−/−Bcrp1−/− | Plasma | 0.324 ± 0.085 | 31.1 ± 5.1c | 0.25 | |
Mdr1a/b−/−Bcrp1−/− | Brain | 0.098 ± 0.022 | 7.6 ± 1.3d |
AUC, area under the curve; FVB, Friend leukemia virus strain B; Kp, AUCbrain/AUCplasma.
Area under the curve from time zero to 4 hours postdose.
Kp in Mdr1a/b−/−Bcrp1−/− mice/Kp in wild-type mice.
P = 0.0414 compared with wild-type plasma.
P = 0.002 compared with wild-type brain.
Comparison of Brain Distribution of Dabrafenib with Vemurafenib.
We compared the brain distribution of dabrafenib after a single oral dose with our previously published results for vemurafenib (Mittapalli et al., 2012), and the data are shown in Fig. 7. The plasma concentrations, for both dabrafenib and vemurafenib, were higher in the Mdr1a/b−/−Bcrp1−/− mice compared with wild-type mice (Fig. 7A). It should be noted that the plasma concentrations of dabrafenib were not significantly different as compared with vemurafenib in either type of mice. Since the total brain distribution of vemurafenib was approximately equal to the brain vascular volume, for comparison purposes, the data shown in this particular case were not corrected for vascular content for either dabrafenib or vemurafenib. The brain concentrations of dabrafenib were significantly higher compared with vemurafenib brain concentrations in both wild-type and Mdr1a/b−/−Bcrp1−/− mice (Fig. 7B). The brain-to-plasma concentration ratio for dabrafenib is ~10, ∼4-fold greater compared with the vemurafenib brain-to-plasma ratio in wild-type and Mdr1a/b−/−Bcrp1−/− mice, respectively [wild-type: 0.1 ± 0.03 (dabrafenib) and 0.008 ± 0.001 (vemurafenib); Mdr1a/b−/−Bcrp1−/−: 0.3 ± 0.04 (dabrafenib) and 0.07 ± 0.02 (vemurafenib)]. The aggregate of these data indicates that dabrafenib has greater brain penetration than vemurafenib.
Discussion
Brain metastases are a common cause of death from stage IV metastatic melanoma (Skibber et al., 1996; Davies et al., 2011). Until 2011, the only FDA-approved therapies for metastatic melanoma were dacarbazine and interleukin-2, which showed response rates of only 10–20% (Comis, 1976; Atkins et al., 1999; Garbe et al., 2011). However, therapies for metastatic melanoma have been changed dramatically with the development of highly selective inhibitors of BRAFV600E, the most commonly found mutation in melanoma patients. The first of these selective BRAFV600E inhibitors, vemurafenib, was approved by the U.S. FDA in 2011, and showed remarkable efficacy in clinical trials (Chapman et al., 2011). A second BRAFV600E inhibitor, dabrafenib, showed similar results when compared with vemurafenib, with fewer adverse effects in clinical trials (Falchook et al., 2012; Hauschild et al., 2012). Further, dabrafenib showed remarkable efficacy in reducing tumor size in the brains of patients with brain metastases (Falchook et al., 2012). However, a durable response depends on effective delivery of therapies to all sites of metastases in the brain, especially to the micrometastases (less than 1 mm in diameter) that have an intact BBB (Gibney and Sondak, 2012) with functional efflux transporters. Furthermore, in a recent study, Rochet et al. (2012) reported that treatment of melanoma patients with vemurafenib resulted in development of metastatic disease in the brain. From these data, it appears that the brain remains at least in part a pharmacological sanctuary site due to the continued presence of an intact BBB where some metastatic sites reside. The efficacy of dabrafenib in brain metastases of melanoma is under investigation in a phase 2 clinical trial. With this perspective, it is critical to determine the mechanisms that limit the brain distribution of dabrafenib. In the current study, using both in vitro and in vivo models, we demonstrate that dabrafenib is a dual substrate for BCRP and P-gp, and its brain distribution is limited due to active efflux at the BBB. Furthermore, our data indicate that dabrafenib has greater brain distribution when compared with vemurafenib, and as such, dabrafenib might have some advantages for treating patients with melanoma brain metastases. To the best of our knowledge, this is the first report to show the brain distribution of dabrafenib and its interactions with Bcrp and P-gp.
The experiments performed in transfected MDCKII cells that overexpress either murine Bcrp or human P-gp revealed that dabrafenib is a dual substrate for both Bcrp and P-gp (Fig. 2; Tables 1 and 2). Interestingly, inhibition studies conducted using prototypical probe substrates (prazosin and mitoxantrone for Bcrp, and vinblastine for P-gp) showed no increase in probe substrate accumulation with increasing concentrations of dabrafenib up to a concentration of 50 and 25 µM in Bcrp1 and MDR1 cells, respectively. In both wild-type and MDR1 cells, using vinblastine as a probe substrate, dabrafenib showed a significant increase in accumulation at 50 µM. However, it should be noted that this concentration is not pharmacologically relevant, as the clinically observed concentrations of dabrafenib (150 mg/kg twice daily) are ~2 µM (Falchook et al., 2012).
Specific Bcrp (Ko143) and P-gp (LY335979) inhibitors were able to increase cellular accumulation of dabrafenib (Fig. 2), as well as the probe substrates (Fig. 3), in both Bcrp1 and MDR1 cells, respectively, indicating that Ko143 and LY335979 bind to multiple binding sites on the transporter proteins. The fact that dabrafenib is a substrate for both Bcrp and P-gp, but does not inhibit these transporter proteins for some prototypical probe substrates, may indicate that dabrafenib binds to a different site on the transporter protein as compared with the probe substrates tested. It is noteworthy to recognize how screening assays using specific binding-site probe substrates can be misleading. In our previous studies, we have shown that differences exist in the inhibition of BCRP depending on both the inhibitor used and the substrate under evaluation (Giri et al., 2009).
With this knowledge from in vitro data, we next investigated the in vivo brain distribution of dabrafenib in mice. After an i.v. dose, the brain concentrations of dabrafenib in FVB wild-type mice were significantly lower than the corresponding plasma concentrations (Fig. 4), with a Kp of 0.023. However, the brain distribution of dabrafenib was significantly improved when the same dose was administered in Mdr1a/b−/−Bcrp1−/− mice, with a resulting Kp of 0.42 (Table 3). It is worth noting that the unbound brain-to-plasma partition ratios [(Kp,uu) ratio of unbound drug in brain to unbound drug in plasma] in wild-type and Mdr1a/b−/−Bcrp1−/− mice were ~0.1 and ~1.7, respectively. These data indicate that dabrafenib brain distribution is limited in an intact BBB model through the action of efflux transporter–mediated clearance.
Since the clinical use of dabrafenib involves chronic multiple oral dosing, we next determined the brain distribution of dabrafenib after oral administration. The AUCplasma in Mdr1a/b−/−Bcrp1−/− mice is ~2-fold higher (Fig. 6A; Table 4) compared with wild-type mice after oral administration. As the systemic clearance is no different between the genotypes after an i.v. dose (see Fig. 5; Table 3), the observed higher plasma exposure in Mdr1a/b−/−Bcrp1−/− mice after the oral dose indicates that BCRP and P-gp may have some influence on oral absorption of dabrafenib at a 25-mg/kg dose. This phenomenon was observed with other drugs that are dual substrates of BCRP and P-gp, such as dasatinib (Lagas et al., 2009) and vemurafenib (Durmus et al., 2012). However, the AUCbrain in Mdr1a/b−/−Bcrp1−/− mice is ∼12 fold higher when compared to wild-type mice resulting in a Kp ratio of ∼6. Taken together, all of these data indicate that dabrafenib brain distribution is limited in an intact BBB model. In this regard, use of pharmacological inhibitors such as elacridar, a dual P-gp and Bcrp inhibitor, may have significant value in improving the CNS distribution of dabrafenib.
Since both dabrafenib and vemurafenib are showing remarkable results in clinical trials, it is appropriate to compare these two molecules in terms of their brain distribution. In our previous study, we have shown that both BCRP and P-gp have a significant impact on the brain distribution of vemurafenib (Mittapalli et al., 2012), which was further supported by a recently published report by another group (Durmus et al., 2012). Compared with vemurafenib (Mittapalli et al., 2012), the B/P ratio of dabrafenib is significantly higher in both wild-type and Mdr1a/b−/−Bcrp1−/− mice (Fig. 7). Although the B/P ratio in this case was measured only at one time point, we also observed a greater AUCbrain to AUCplasma ratio of dabrafenib in wild-type mice after a similar i.v. dose as compared with vemurafenib (Table 5). Given the in vitro potency of dabrafenib, which is at least 40 times higher than vemurafenib against BRAFV600E [vemurafenib IC50: 31 nM (Bollag et al., 2010); dabrafenib IC50: 0.8 nM (Laquerre et al., 2009)], and greater brain penetration than vemurafenib, dabrafenib might be beneficial in treating melanoma brain metastases; however, this prediction warrants further preclinical and clinical investigation.
TABLE 5.
Dabrafenib |
Vemurafeniba |
|||
---|---|---|---|---|
Plasma | Brain | Plasma | Brain | |
Terminal rate constant (min−1) | 0.031 | 0.036 | 0.0051 | 0.0047 |
Half-life (min) | 23.7 | 19.1 | 136 | 148 |
Clearance (ml/min/kg) | 24.2 | 1.6 | ||
Volume of distribution (l/kg) | 0.83 | 0.316 | ||
AUC0 → t last (min · µg/ml) | 120.9 ± 15.8 | 2.8 ± 0.4 | 1663 ± 140 | 6.5 ± 0.9 |
Kp | 0.023 | 0.004 |
AUC, area under the concentration-time curve; FVB, Friend leukemia virus strain B; Kp, AUCbrain/AUCplasma.
From previously published data (Mittapalli et al., 2012).
Currently, the duration of response with single-agent therapy has been limited because the development of resistance is inevitable, as reported in the case of vemurafenib (Johannessen et al., 2010; Nazarian et al., 2010; Villanueva et al., 2010). Further, studies have shown that mutations in upstream signaling proteins such as RAS or compensatory signaling from other growth factor receptors such as PI3K/mTOR drive the reactivation of the MAPK signaling pathway and build up the resistance to BRAF therapy (Flaherty et al., 2012). Thus, understanding the key molecular aberrations associated with resistance will be crucial in designing the rational combinations using two or more drugs to simultaneously block multiple pathways, such as the clinical trial evaluating the combination of dabrafenib with the MEK inhibitor trametinib (NCT01072175). Also, the evaluation of combinations of immune therapies such as ipilimumab (Margolin et al., 2012) and rational choices of molecularly targeted agents would be valuable in overcoming the low response rates of immune therapy and short durations of response associated with targeted therapies.
The development of BRAFV600E inhibitors has been a major breakthrough for the treatment of melanoma patients. However, challenges still remain in delivering these targeted therapies to melanoma micrometastases in the brain that could be growing behind an intact BBB. Given the success rate so far with both dabrafenib and vemurafenib, it will be essential to determine both the resistance mechanisms and CNS delivery issues that need to be addressed to achieve a durable response. Multiple drugs/cocktails need to be evaluated for rational combinations (e.g., a BRAF inhibitor and/or MEK inhibitor and/or PI3K/mTOR inhibitor) to decrease resistance in peripheral or systemic disease. At the same time, there is also a critical need to examine the CNS delivery of combinations to see if one agent influences the brain delivery of another, or if one or more drug(s) in the combination does not reach the brain, leading to heightened resistance. The successful and durable treatment of melanoma requires that the brain does not become a pharmacological sanctuary site for melanoma metastases.
Supplementary Material
Acknowledgments
The authors thank Jim Fisher, Clinical Pharmacology Analytical Services Laboratory, University of Minnesota, for help and support in the development of the dabrafenib LC-MS/MS assay.
Abbreviations
- A
apical
- AG1478
4-(3-chloroanilino)-6,7-dimethoxyquinazoline
- AUC
area under the concentration-time curve
- B
basolateral
- BBB
blood-brain barrier
- BCRP
breast cancer resistance protein
- Bcrp1
gene encoding the murine breast cancer resistance protein
- B/P
brain to plasma
- BRAF
gene encoding serine/threonine-protein kinase B-Raf
- CNS
central nervous system
- ERK, extracellular signal-regulated kinase; FDA
Food and Drug Administration
- fu
free fraction
- fu,brain
unbound fraction in brain homogenate
- fu,plasma
unbound fraction in plasma
- FVB
Friend leukemia virus strain B
- Ko143
(3S,6S,12aS)-1,2,3,4,6,7,12,12a-octahydro-9-methoxy-6-(2-methylpropyl)-1,4-dioxopyrazino(1',2':1,6) pyrido(3,4-b)indole-3-propanoic acid 1,1-dimethylethyl ester
- Kp
ratio of AUCbrain to AUCplasma
- Kp,uu, ratio of unbound drug in brain to unbound drug in plasma; LC-MS/MS
liquid chromatography–-tandem mass spectrometry
- LY335979 (zosuquidar)
(R)-4-[(1aR,6R,10bS)-1,2-difluoro-1,1a,6,10b-tetrahydrodibenzo-(a,e)cyclopropa(c)cycloheptan-6-yl]-α-[(5-quinoloyloxy) methyl]-1-piperazine ethanol, trihydrochloride
- MAPK
mitogen-activated protein kinase
- MDCKII
Madin-Darby canine kidney II
- MDR1
gene encoding the human P-glycoprotein
- Mdr1
gene encoding the murine P-glycoprotein
- MEK, methyl ethyl ketone; Papp
apparent permeability
- PBS
phosphate-buffered saline
- P-gp
p-glycoprotein
- WT
wild type
Authorship Contributions
Participated in research design: Mittapalli, Vaidhyanathan, Dudek, Elmquist.
Conducted experiments: Mittapalli, Vaidhyanathan.
Performed data analysis: Mittapalli, Elmquist.
Wrote or contributed to the writing of the manuscript: Mittapalli, Dudek, Elmquist.
Footnotes
This work was supported in part by the National Institutes of Health National Cancer Institute [Grant CA138437].
This article has supplemental material available at jpet.aspetjournals.org.
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