Abstract
11C-erlotinib is a PET tracer to distinguish responders from nonresponders to epidermal growth factor receptor–targeted tyrosine kinase inhibitors and may also be of interest to predict distribution of erlotinib to tissues targeted for treatment. The aim of this study was to investigate if the known interaction of erlotinib with the multidrug efflux transporters breast cancer resistance protein (humans, ABCG2; rodents, Abcg2) and P-glycoprotein (humans, ABCB1; rodents, Abcb1a/b) affects tissue distribution and excretion of 11C-erlotinib and has an influence on the ability of 11C-erlotinib PET to predict erlotinib tissue distribution at therapeutic doses. Methods: Wild-type and Abcb1a/b or Abcg2 knockout mice underwent 11C-erlotinib PET/MR scans, with or without the coinjection of a pharmacologic dose of erlotinib (10 mg/kg) or after pretreatment with the ABCB1/ABCG2 inhibitor elacridar (10 mg/kg). Integration plot analysis was used to determine organ uptake (CLuptake) and biliary excretion (CLbile) clearances of radioactivity. Results: 11C-erlotinib distribution to the brain was restricted by Abcb1a/b and Abcg2, and CLuptake into the brain was only significantly increased when both Abcb1a/b and Abcg2 were absent (wild-type mice, 0.017 ± 0.004 mL/min/g of tissue; Abcb1a/b(−/−)Abcg2(−/−) mice, 0.079 ± 0.013 mL/min/g of tissue; P < 0.001). The pretreatment of wild-type mice with elacridar increased CLuptake into the brain to levels comparable to Abcb1a/b(−/−)Abcg2(−/−) mice (0.090 ± 0.007 mL/min/g of tissue, P < 0.001). The absence of Abcb1a/b and Abcg2 led to a 2.6-fold decrease in CLbile (wild-type mice, 0.025 ± 0.005 mL/min/g of tissue; Abcb1a/b(−/−)Abcg2(−/−) mice, 0.0095 ± 0.001 mL/min/g of tissue; P < 0.001). There were pronounced differences in distribution of 11C-erlotinib to the brain, liver, kidney, and lung and hepatobiliary excretion into intestine between animals injected with a microdose and pharmacologic dose of erlotinib. Conclusion: ABCG2, ABCB1, and possibly other transporters influence in vivo disposition of 11C-erlotinib and thereby affect its distribution to normal and potentially also tumor tissue. Saturable transport of erlotinib leads to nonlinear pharmacokinetics, possibly compromising the prediction of erlotinib tissue distribution at therapeutic doses from PET with a microdose of 11C-erlotinib. The inhibition of ABCB1 and ABCG2 is a promising approach to enhance brain distribution of erlotinib to increase its efficacy in the treatment of brain tumors.
Erlotinib is a reversible tyrosine kinase inhibitor (TKI) of the epidermal growth factor receptor (EGFR) that has been approved for treatment of advanced, metastatic non–small cell lung cancer (NSCLC) and advanced, unresectable, or metastatic pancreatic cancer. Approximately 10% of NSCLC patients in the Western population harbor an activating mutation in their EGFR genes (e.g., the exon 19 deletion delE746-A750 or the exon 21 point mutation L858R) resulting in higher response rates to treatment with erlotinib or gefitinib, another EGFR-inhibiting TKI, as compared with patients with wild-type EGFR (1). 11C-erlotinib has been proposed as a PET tracer to distinguish erlotinib-sensitive from erlotinib-resistant NSCLC patients (2,3). In preclinical PET studies, higher uptake of 11C-erlotinib was found in tumor xenografts with activating EGFR mutations (e.g., delE746-A750, L858R) than in tumor xenografts expressing wild-type EGFR or EGFR with secondary resistance causing mutations (exon 20 missense mutation T790 M) (2,4–6). It has been hypothesized that the binding affinity of 11C-erlotinib is higher to EGFR with activating mutations than to wild-type EGFR, resulting in a higher PET signal (3). In NSCLC patients, it was shown that the distribution volume of 11C-erlotinib was significantly higher in tumors with an exon 19 deletion than in tumors with wild-type EGFR (3). Apart from visualizing the EGFR mutational status of tumors, 11C-erlotinib PET may also be of interest to predict the distribution of erlotinib to different body tissues targeted for erlotinib treatment (e.g., lung, brain, liver).
Erlotinib undergoes extensive metabolism in humans and is mainly excreted via the hepatobiliary pathway (7). Erlotinib is a substrate (8) and inhibitor (9) of the adenosine triphosphate-binding cassette (ABC) transporters breast cancer resistance protein (humans, ABCG2; rodents, Abcg2) and P-glycoprotein (humans, ABCB1; rodents, Abcb1a/b), resulting in a low extent of brain distribution due to ABCG2- and ABCB1-mediated efflux transport at the blood–brain barrier (BBB) (8,10,11). Apart from the BBB, ABCB1 and ABCG2 are also expressed in excretory organs, such as liver and kidney, in which they mediate excretion of drugs and their metabolites into bile and urine, respectively (12). For the future diagnostic use of 11C-erlotinib as a PET tracer in tumor patients it is important to understand the influence of ABCB1 and ABCG2 on organ distribution and excretion of 11C-erlotinib as patients may undergo 11C-erlotinib PET scans both without and with concomitant treatment with therapeutic doses of erlotinib, possibly leading to partial saturation of ABCB1 and ABCG2 causing changes in tissue distribution. Moreover, ABCG2 and ABCB1 may be overexpressed in multidrug-resistant tumors and thereby influence tumor distribution of 11C-erlotinib (13).
In the present study, we performed small-animal PET/MR experiments with 11C-erlotinib without and with the coinjection of a pharmacologic dose of erlotinib in wild-type and Abcb1a/b or Abcg2 knockout mice to assess the influence of these transporters on 11C-erlotinib organ distribution and excretion. We hypothesized that partial transporter saturation at therapeutic doses may lead to nonlinear pharmacokinetics of 11C-erlotinib and failure of a PET microdose to predict the organ distribution of a therapeutic dose.
MATERIALS AND METHODS
Chemicals
Elacridar hydrochloride (Syncom BV) was freshly dissolved before each administration in propylene glycol/dimethyl sulfoxide/physiologic saline (40/30/30, v/v/v) and injected intravenously at a volume of 2 mL/kg of body weight. Erlotinib hydrochloride (Apollo Scientific Ltd.) was freshly dissolved before each administration in 10% (v/v) aqueous ethanol solution and injected intravenously at a volume of 4 mL/kg of body weight.
Animals
Female wild-type, Abcb1a/b(−/−), Abcg2(−/−), and Abcb1a/b(−/−)Abcg2(−/−) mice with a FVB genetic background were obtained from Charles River and Taconic Biosciences Inc. At the time of experiment, animals were 10–15 wk old and weighed 25 ± 2 g. All animal experiments were approved by the national authorities (Amt der Niederösterreichischen Landesregierung) and all study procedures were performed in accordance with the European Communities Council Directive of September 22, 2010 (2010/63/EU).
Radiotracer Synthesis
11C-erlotinib was synthesized as described before (3) with a radiochemical purity more than 98% and a specific activity of 47.9 ± 64.1 GBq/μmol (n = 29). 11C-erlotinib was formulated in 0.1 mM hydrochloric acid in physiologic saline at an approximate concentration of 370 MBq/mL for intravenous injection into animals.
Experimental Design
Groups of wild-type, Abcb1a/b(−/−), Abcg2(−/−), and Abcb1a/b(−/−)Abcg2(−/−) mice (n = 4 per group) underwent 90-min dynamic 11C-erlotinib PET scans. One group of wild-type mice (n = 6) underwent 90-min dynamic 11C-erlotinib PET scans at 20 min after intravenous pretreatment with the dual ABCB1/ABCG2 inhibitor elacridar (10 mg/kg). Additional groups of wild-type and Abcb1a/b(−/−)Abcg2(−/−) mice (n = 4 per group) underwent 90-min dynamic 11C-erlotinib PET scans, in which a pharmacologic dose of unlabeled erlotinib (10 mg/kg) was coinjected with 11C-erlotinib. The choice of pharmacologic dose was based on previous work by Petrulli et al. (5).
PET/MR Imaging
Animals were preanesthetized in an induction chamber using isoflurane (2.5%–3.5% in oxygen) and placed on a heated animal bed (38°C), and the lateral tail vein was cannulated. Anesthesia and warming were maintained for the whole imaging period. Anatomic MR imaging was performed on a 1-T benchtop MR imaging system (ICON; Bruker BioSpin GmbH) using a modified 3-dimensional T1-weighted gradient echo sequence (T1-fast low angle shot). After MR imaging, the animal bed was transferred into the gantry of a microPET scanner (Focus 220; Siemens Medical Solutions) and a 10-min transmission scan using a 57Co point source was recorded. Subsequently, 11C-erlotinib (27 ± 8 MBq, 2 ± 1 nmol, 0.10 mL, n = 29) was administered as an intravenous bolus over 1 min, and a 90-min dynamic PET scan (energy window, 250–750 keV; timing window, 6 ns) was initiated at the start of radiotracer injection.
Postimaging Procedures
At the end of PET, a terminal blood sample was withdrawn under isoflurane anesthesia from the retroorbital sinus vein and animals were sacrificed by cervical dislocation. Aliquots of blood and plasma were measured for radioactivity in a γ counter (Wizard 1470; Perkin-Elmer). The measured radioactivity data were corrected for radioactive decay and expressed as standardized uptake value (SUV = (radioactivity per g/injected radioactivity) × body weight).
PET Data Analysis
Dynamic emission PET data were sorted into 25 frames, which incrementally increased in time length from 5 s to 20 min. Images were reconstructed using Fourier rebinning of the 3-dimensional sinograms, followed by filtered backprojection with a ramp filter resulting in a voxel size of 0.4 × 0.4 × 0.796 mm3. The standard data-correction protocol (normalization, injection decay correction, and attenuation correction) was applied to the data. Whole brain, right lung, left ventricle of the heart, left kidney, liver, gallbladder, intestine, and urinary bladder were manually outlined on coregistered PET/MR images using the image analysis software AMIDE, and time–activity curves, expressed as SUV, were derived. It was assumed that the sum of radioactivity in the gallbladder and the intestine represented radioactivity in the bile excreted from the liver. From the time–activity curves, the area under the curve from time 0 to 90 min (AUC) was calculated using Prism 5.0 software (GraphPad Software).
Integration Plot Analysis
A previously described graphical analysis approach (integration plot) (14,15) was used to estimate cerebral, hepatic, renal, and pulmonary uptake clearances (CLuptake,brain, CLuptake,liver, CLuptake,kidney, and CLuptake,lung, respectively) and biliary excretion clearance (CLbile) of 11C-erlotinib. Details are given in the supplemental materials (available at http://jnm.snmjournals.org).
Analysis of Metabolites and Plasma Protein Binding
Radiolabeled metabolites of 11C-erlotinib were measured at 25 min after injection with radio–thin-layer chromatography in wild-type mice, pretreated either with vehicle or with elacridar (10 mg/kg), and in Abcb1a/b(−/−)Abcg2(−/−) mice as described in the supplemental materials. The plasma protein binding of 11C-erlotinib was determined as described in the supplemental materials.
Statistical Analysis
Differences between groups were analyzed by 1-way ANOVA followed by a Bonferroni multiple-comparison test using Prism 5.0 software. The level of statistical significance was set to a P value of less than 0.05. All values are given as mean ± SD.
RESULTS
Effect of Abcb1a/b or Abcg2 Knockout on 11C-Erlotinib Disposition
We obtained 11C-erlotinib PET/MR scans in wild-type, Abcb1a/b(−/−), Abcg2(−/−), and Abcb1a/b(−/−)Abcg2(−/−) mice. Distribution of 11C-erlotinib to the brain was low in wild-type mice and significantly higher in Abcb1a/b(−/−)Abcg2(−/−) mice (brain AUC, wild-type: 18.5 ± 1.3, Abcb1a/b(−/−)Abcg2(−/−): 51.0 ± 8.1, P < 0.001) (Figs. 1 and 2A). In mice lacking only Abcb1a/b or Abcg2, brain AUCs were only moderately and not significantly increased as compared with wild-type mice (Abcb1a/b(−/−), 24.7 ± 0.7; Abcg2(−/−), 25.9 ± 0.7). To quantitatively evaluate brain distribution of 11C-erlotinib, we used a graphical analysis approach (integration plot) to estimate the rate constants for transfer of radioactivity from blood into brain (cerebral uptake clearance, CLuptake,brain). CLuptake,brain corresponds to K1 from kinetic modeling of PET data, which has been shown in previous work to be a sensitive parameter of efflux transporter function at the BBB (15,16). To determine the radioactivity concentrations in blood, we generated an image-derived blood curve by placing a region of interest into the left ventricle of the heart. Radioactivity concentrations measured with PET in the heart showed good correlation (r = 0.942, P < 0.0001) with blood radioactivity concentrations measured at the end of PET in a γ counter (Supplemental Fig. 1). In Supplemental Figure 2, representative integration plots are shown. In Supplemental Table 1, uptake and excretion clearances in different organs of all studied mouse groups are given.
CLuptake,brain was significantly higher in Abcb1a/b(−/−)Abcg2(−/−) than in wild-type mice (Supplemental Fig. 2A) but not significantly increased in Abcb1a/b(−/−) and Abcg2(−/−) mice (Fig. 2C). The absence of Abcg2 had a pronounced effect on biliary excretion of radioactivity from the liver into the intestine (Figs. 3 and 4C). Both in Abcg2(−/−) and in Abcb1a/b(−/−)Abcg2(−/−) mice, biliary excretion clearances (CLbile) were significantly reduced as compared with wild-type mice (Supplemental Fig. 2B; Fig. 5C), resulting in prolonged liver retention of radioactivity (Fig. 3). Abcg2(−/−) and Abcb1a/b(−/−)Abcg2(−/−) mice showed in contrast to all other mouse groups urinary excretion of radioactivity (Figs. 3 and 4D). In the lungs, no significant differences in 11C-erlotinib distribution were observed between wild-type and transporter knockout mice (Supplemental Fig. 3).
Differences in 11C-Erlotinib Disposition After Administration of Microdose and Pharmacologic Dose
We acquired 11C-erlotinib PET/MR scans in wild-type and Abcb1a/b(−/−)Abcg2(−/−) mice receiving either a microdose or a pharmacologic dose (10 mg/kg) of erlotinib. 11C-erlotinib distribution was visually different for the 2 dose groups (Fig. 3). Blood radioactivity concentrations were significantly higher (P < 0.001) for the pharmacologic dose than for the microdose (heart AUC, wild-type microdose: 91.0 ± 2.4, pharmacologic dose: 135.8 ± 13.3; Abcb1a/b(−/−)Abcg2(−/−) microdose: 105.6 ± 19.2, pharmacologic dose: 149.6 ± 7.2). In the brain, AUCs and CLuptake,brain were significantly higher in animals receiving the pharmacologic dose (Fig. 2C), both in wild-type mice (4.5-fold increase in CLuptake,brain) and in Abcb1a/b(−/−)Abcg2(−/−) mice (1.5-fold increase in CLuptake,brain).
In the liver and kidneys, CLuptake was significantly lower for the pharmacologic dose than for the microdose, both in wild-type mice and in Abcb1a/b(−/−)Abcg2(−/−) mice (Figs. 5A and 5B). In the liver of wild-type but not Abcb1a/b(−/−)Abcg2(−/−) mice, CLbile was significantly lower for the pharmacologic dose than for the microdose (Figs. 4C and 5C). In Abcb1a/b(−/−)Abcg2(−/−) but not in wild-type mice, radioactivity excreted into urine was significantly lower in animals injected with a pharmacologic dose than with a microdose (urinary bladder AUC, wild-type microdose: 260 ± 65, pharmacologic dose: 407 ± 258; Abcb1a/b(−/−)Abcg2(−/−) microdose: 1,888 ± 370, pharmacologic dose: 41 ± 9, P < 0.001). In the lungs, CLuptake was significantly increased in animals receiving the pharmacologic dose, both in wild-type and in Abcb1a/b(−/−)Abcg2(−/−) mice (Supplemental Fig. 3).
Effect of Elacridar on 11C-Erlotinib Disposition
We assessed the effect of the dual ABCB1/ABCG2 inhibitor elacridar on tissue distribution of 11C-erlotinib in wild-type mice, which underwent 11C-erlotinib PET scans after intravenous pretreatment with elacridar (10 mg/kg). Elacridar administration resulted in a significant increase in brain AUCs (45.2 ± 3.3 vs. 18.5 ± 1.3, P < 0.001) and CLuptake,brain, to levels similar to those in Abcb1a/b(−/−)Abcg2(−/−) mice (Figs. 2A and 2C). In the other studied organs, elacridar pretreatment exerted no significant effect on 11C-erlotinib distribution (Fig. 5) except for the lung (Supplemental Fig. 3), in which CLuptake,lung was significantly increased in elacridar-treated as compared with untreated mice.
Metabolism and Plasma Protein Binding of 11C-Erlotinib
Radiolabeled metabolites of 11C-erlotinib were assessed with radio–thin-layer chromatography in plasma, brain, liver, bile, and urine of vehicle-treated and elacridar-treated wild-type mice, and Abcb1a/b(−/−)Abcg2(−/−) mice (Supplemental Table 2). In plasma and brain, most radioactivity was in the form of unmetabolized 11C-erlotinib. In liver and bile, approximately one third to one half of radioactivity was in the form of unmetabolized 11C-erlotinib, whereas almost no unmetabolized 11C-erlotinib was detected in urine (Supplemental Table 2). No significant differences were observed between the 3 studied mouse groups in percentage of unchanged 11C-erlotinib in different organs and liquids. The percentage of 11C-erlotinib that was not bound to plasma proteins was low (<1%) and independent of the presence or absence of elacridar or unlabeled erlotinib (Supplemental Table 3).
DISCUSSION
Among several different radiolabeled reversible and irreversible TKIs tested for PET imaging of receptor tyrosine kinases, 11C-erlotinib has emerged as a promising candidate tracer to distinguish responders from nonresponders to treatment with EGFR-targeted TKIs (e.g., gefitinib, erlotinib) (17). Preclinical as well as clinical data indicate that 11C-erlotinib binds specifically to EGFR with activating mutations (e.g., delE746-A750, L858R), whereas it lacks specific binding to wild-type EGFR (2–6). Preclinical studies have shown that specific binding of 11C-erlotinib to mutated EGFR is reduced when pharmacologic doses of erlotinib are coadministered, presumably due to saturation of EGFR-specific binding sites (5,6). Consequently, 11C-erlotinib PET imaging in patients undergoing TKI treatment may prohibit the visualization of EGFR-specific binding in tumors. In addition to binding to mutated EGFR, the known interaction of erlotinib with ABC and solute carrier (SLC) transporters (8,9,18) may exert an influence on the distribution of 11C-erlotinib to tumoral and nontumoral tissue. These transporters are widely expressed all over the body, such as at blood–tissue barriers (e.g., BBB or blood–testis barrier) and in excretory organs (liver, kidney, intestine), and may also become overexpressed in multidrug-resistant tumors in which they restrict intracellular distribution of anticancer agents (12,13). The transport of drugs by ABC and SLC transporters is of concern because this may lead to interindividual variability in drug pharmacokinetics due to genetic polymorphisms or to transporter-mediated drug–drug interactions potentially causing adverse reactions (12). Moreover, dose-dependent partial saturation of drug transporters may lead to nonlinear pharmacokinetics of transporter substrates, which may result in differences in organ distribution between a microdose and therapeutic dose.
In the present study, we assessed the effect of ABCG2 and ABCB1 on whole-body distribution and excretion of 11C-erlotinib and investigated whether PET imaging with a microdose of 11C-erlotinib is capable of predicting the organ distribution of a therapeutic erlotinib dose. We addressed these questions by performing small-animal PET/MR experiments with 11C-erlotinib without and with coinjection of a pharmacologic dose of unlabeled erlotinib (10 mg/kg) in wild-type and Abcb1a/b or Abcg2 knockout mice. Previous work has shown that Abcb1a/b(−/−), Abcg2(−/−), and Abcb1a/b(−/−)Abcg2(−/−) mice lack compensatory alterations in expression levels of other ABC and SLC transporters and are useful tools to study the effects of ABCB1 and ABCG2 on drug disposition (19). A potential limitation of using mice is their small blood volume, which prohibits arterial blood sampling, which is needed for quantitative analysis of PET data. We overcame this problem by generating an image-derived blood curve from the left ventricle of the heart. The use of a previously described graphical analysis approach (integration plot) (Supplemental Fig. 2) (14,15) allowed us to estimate the rate constants for transfer of radioactivity from blood into different organs (brain, liver, kidney, lungs) (CLuptake) as well as for transfer of radioactivity from liver into the intestine (CLbile) to quantitatively evaluate the effects of Abcb1a/b and Abcg2 on 11C-erlotinib disposition (Figs. 2C and 5; Supplemental Table 1).
We were able to confirm earlier data that brain distribution of erlotinib is restricted by Abcb1a/b and Abcg2 (8,10,11). It has now been documented for many dual ABCB1/ABCG2 substrates that these 2 transporters are capable of mutually compensating their function when 1 transporter is knocked out or inhibited (20,21). This phenomenon causes only small increases in brain distribution of ABCB1/ABCG2 substrates when only 1 transporter is absent and disproportionally large increases when both transporters are absent, as was the case for 11C-erlotinib (Fig. 2C). Importantly, we could show that radioactivity in the brain after injection of 11C-erlotinib is mainly in the form of unmetabolized 11C-erlotinib (Supplemental Table 2) thus making 11C-erlotinib PET suitable to assess the effect of ABCB1 and ABCG2 on 11C-erlotinib brain distribution. It is now known that most currently available TKIs (e.g., sorafenib, gefitinib, sunitinib) are dual ABCB1/ABCG2 substrates resulting in low brain distribution (20,21). This is of concern as poor BBB penetration may render these drugs ineffective in the treatment of primary or secondary brain tumors (e.g., gliomas, NSCLC brain metastases) (11,22). Pharmacologic inhibition of ABCB1 and ABCG2 has been suggested as a promising approach to enhance brain distribution of TKIs and thereby increase their efficacy to treat brain tumors (20,22). However, a limitation in realizing this therapeutic concept is the current lack of clinically usable, marketed dual ABCB1/ABCG2 inhibitors. The most potent dual ABCB1/ABCG2 inhibitor known to date is elacridar, which has shown great promise in enhancing brain distribution of dual ABCB1/ABCG2 substrates in preclinical studies (20–22). We found that 10 mg of elacridar per kilogram given intravenously 20 min before 11C-erlotinib injection can increase brain distribution of 11C-erlotinib to an extent similar to that in Abcb1a/b(−/−)Abcg2(−/−) mice, indicating complete inhibition of Abcb1a/b and Abcg2 at the BBB (Figs. 1, 2A, and 2C). An oral formulation of elacridar has been used in clinical studies in cancer patients to increase oral bioavailability of concomitantly administered anticancer drugs (e.g., topotecan) by inhibition of ABCG2 and ABCB1 in the intestine (23). However, as the oral bioavailability of elacridar is low, resulting in low plasma concentrations, future use of elacridar as an inhibitor of ABCB1 and ABCG2 at the human BBB will most likely require an intravenous formulation of the drug (22).
Intriguingly, we could show that the coinjection of a pharmacologic dose of erlotinib results in increases in CLuptake,brain of 11C-erlotinib similar to those in elacridar-treated animals (Fig. 2C). This increase suggests that erlotinib may be of potential use as a clinically available inhibitor of ABCB1 and ABCG2 to enhance brain distribution of other dual ABCB1/ABCG2 substrates (24). After a comparably high initial brain uptake, washout of radioactivity was faster from the brains of erlotinib-coinjected wild-type mice than from Abcb1a/b(−/−)Abcg2(−/−) mice (Figs. 2A and 2B), which indicated that the Abcb1a/b/Abcg2 inhibitory effect of erlotinib is reversible. For future use of erlotinib as an ABCB1/ABCG2 inhibitor in human PET studies, it may therefore be preferable to administer erlotinib as a continuous intravenous infusion that is maintained for the duration of the PET scan, as we have done in a previous PET study with the ABCB1 inhibitor tariquidar (16). Importantly, we could demonstrate that brain distribution of 11C-erlotinib was nonlinear between a microdose and a pharmacologic dose—that is, for the pharmacologic dose brain exposure (Fig. 2B) and CLuptake,brain (Fig. 2C) were significantly higher.
We also found an influence of Abcg2 and Abcb1 on the distribution of 11C-erlotinib to peripheral organs. Our data clearly indicated that 11C-erlotinib or its radiolabeled metabolites undergo hepatobiliary excretion into the intestine mediated by Abcg2 and Abcb1a/b (Fig. 4C). The absence of both Abcg2 and Abcb1a/b caused a 2.6-fold reduction in CLbile (Fig. 5C), suggesting that 11C-erlotinib PET may be useful to study the functional activity of Abcg2 and Abcb1a/b in the liver. Interestingly, coadministration of a pharmacologic dose of erlotinib caused a 5-fold reduction in CLbile in wild-type mice (Fig. 5C), indicating that the influence of Abcg2 and Abcb1a/b on hepatobiliary excretion of erlotinib may be more important when a microdose is administered. However, the determination of CLbile was based on the assumption that excretion of radioactivity into the intestine occurs exclusively via bile and not by direct secretion from blood. To confirm this assumption, it would be necessary to examine bile duct–cannulated mice, which is technically challenging and which was not done in the present study.
In the absence of Abcg2 (i.e., in Abcg2(−/−) and Abcb1a/b(−/−)Abcg2(−/−) mice), a shift from hepatobiliary to renal excretion of 11C-erlotinib was observed, which otherwise showed negligible excretion into urine (Figs. 3 and 4D). This suggested that transporters other than Abcg2 and Abcb1a/b accounted for urinary excretion of radioactivity. As radio–thin-layer chromatography analysis showed that most radioactivity in urine was in the form of radiolabeled metabolites (Supplemental Table 2) it appears likely that not 11C-erlotinib itself but one or several radiolabeled metabolites underwent active transport at the brush border membrane of kidney proximal tubule cells, with multidrug resistance–associated proteins 4 and 2 (Abcc4 and Abcc2) as the most likely candidate transporters.
Both in the liver and in the kidneys, CLuptake was significantly lower for the pharmacologic dose than for the microdose (Figs. 4A, 4B, 5A, and 5B). This suggests partial saturation of basolateral uptake transporters in hepatocytes and kidney cells, such as organic anion transporting polypeptides (e.g., OATP2B1, SLCO2B1) and organic anion transporter 3 (SLC22A7). This assumption is in line with previous findings that TKIs including erlotinib are competitive inhibitors of these SLC transporters (18). Partial saturation of uptake transporters most likely also accounted for the significantly higher blood AUCs for the pharmacologic dose than the microdose. An increase in systemic exposure of drugs on inhibition of basolateral uptake transporters in hepatocytes has been observed for several different drugs (25).
Lung tissue can be considered as a target tissue for treatment of NSCLC with erlotinib. It is known that several different ABC and SLC transporters are expressed in lung tissue (e.g., multidrug resistance–associated protein 1 [ABCC1] and ABCG2), where they control pulmonary absorption of inhaled drugs as well as transport of drugs from epithelial cells to the circulating blood (26). We found no influence of Abcb1a/b and Abcg2 on the distribution of 11C-erlotinib to the lung (Supplemental Fig. 3). However, the coinjection of a pharmacologic dose caused significant increases in CLuptake,lung, pointing to partial saturation of other unknown efflux transporters. Interestingly, elacridar led also to an increase in CLuptake,lung, but it is not known by which mechanism.
Our findings are clinically relevant in that they suggest that future therapy guidance with 11C-erlotinib in tumor patients needs to take into account the influence of drug transporters on 11C-erlotinib disposition. Concomitant treatment of tumor patients with therapeutic doses of erlotinib or other TKIs may lead to partial saturation of drug transporters, which could cause changes in 11C-erlotinib PET signal in the tumor, which may be unrelated to treatment response or the mutational status of EGFR. However, because a standard oral therapeutic dose of erlotinib used in the clinic (150 mg) is lower than the presently used pharmacologic dose in mice, it appears likely that less pronounced effects on drug transporters will be observed in humans.
CONCLUSION
ABCG2, ABCB1, and possibly other transporters influence the in vivo disposition of 11C-erlotinib and thereby affect its distribution to normal and potentially also tumor tissue. Saturable transport of erlotinib leads to nonlinear pharmacokinetics, which needs to be considered when attempting to predict the organ distribution of erlotinib in tumor patients using PET scans with a microdose of 11C-erlotinib. Inhibition of ABCB1 and ABCG2 is a promising approach to enhance brain distribution of erlotinib to increase its efficacy in the treatment of brain tumors.
DISCLOSURE
The costs of publication of this article were defrayed in part by the payment of page charges. Therefore, and solely to indicate this fact, this article is hereby marked “advertisement” in accordance with 18 USC section 1734. This study was supported by the Lower Austria Corporation for Research and Education (NFB) (grant LS12-006) and by the Austrian Science Fund (FWF) (grant F 3513-B20). No other potential conflict of interest relevant to this article was reported.
Acknowledgments
We thank Maria Zsebedics and Mathilde Löbsch for help in conducting the experiments and Stefan Oberndorfer (Universitätsklinikum St. Pölten) and Walter Berger and Maria Sibilia (both Medical University of Vienna) for helpful discussions.
Footnotes
Published online Sep. 10, 2015.
- © 2015 by the Society of Nuclear Medicine and Molecular Imaging, Inc.
REFERENCES
- Received for publication May 27, 2015.
- Accepted for publication August 31, 2015.