Literature DB >> 25977884

Lapatinib access into normal brain and brain metastases in patients with Her-2 overexpressing breast cancer.

Azeem Saleem1, Graham E Searle2, Laura M Kenny3, Mickael Huiban2, Kasia Kozlowski3, Adam D Waldman4, Laura Woodley5, Carlo Palmieri6, Charles Lowdell7, Tomomi Kaneko8, Philip S Murphy9, Mike R Lau9, Eric O Aboagye3, Raoul C Coombes3.   

Abstract

BACKGROUND: Brain metastases are common in human epidermal growth factor receptor (Her)-2-positive breast cancer. Drug access to brain metastases and normal brain is key to management of cranial disease. In this study, positron emission tomography (PET) scanning after administration of radiolabelled lapatinib was used to obtain direct evidence of cranial drug access.
METHODS: Patients with Her-2+ metastatic breast cancer either with at least one 1-cm diameter brain metastasis or without brain metastases underwent dynamic carbon-11 radiolabelled lapatinib ([(11)C]lapatinib)-PET. Less than 20 μg of [(11)C]lapatinib was administered before and after 8 days of oral lapatinib (1,500 mg once daily). Radial arterial blood sampling was performed throughout the 90-min scan. The contribution of blood volume activity to the tissue signal was excluded to calculate lapatinib uptake in normal brain and metastases. Partitioning of radioactivity between plasma and tissue (V T) was calculated and the tissue concentration of lapatinib derived. Plasma lapatinib levels were measured and adverse events noted.
RESULTS: Six patients (three with brain metastases) were recruited. About 80% plasma radioactivity corresponded to intact [(11)C]lapatinib after 60 min. PET signal in the brain corresponded to circulating radioactivity levels, with no [(11)C]lapatinib uptake observed in normal brain tissue. In contrast, radioactivity uptake in cranial metastases was significantly higher (p = 0.002) than that could be accounted by circulating radioactivity levels, consistent with [(11)C]lapatinib uptake in brain metastases. There was no difference in lapatinib uptake between the baseline and day 8 scans, suggesting no effect of increased drug access by inhibition of the drug efflux proteins by therapeutic doses of lapatinib.
CONCLUSIONS: Increased lapatinib uptake was observed in brain metastases but not in normal brain. TRIAL REGISTRATION: ClinicalTrials.gov: NCT01290354.

Entities:  

Keywords:  Blood-brain barrier; Her-2-positive breast cancer; Lapatinib bio-distribution in brain metastases; PET imaging

Year:  2015        PMID: 25977884      PMCID: PMC4424224          DOI: 10.1186/s13550-015-0103-5

Source DB:  PubMed          Journal:  EJNMMI Res        ISSN: 2191-219X            Impact factor:   3.138


Background

Overexpression of human epidermal growth factor receptor (Her)-2 in breast cancer is considered an independent factor for development of brain metastases [1] with up to 37% of patients with Her-2-positive disease relapsing intracranially despite control of extra-cranial metastatic disease [2]. Possible reasons for the increased incidence of brain metastases include the aggressive nature of Her-2-positive disease, increased ability of Her-2 cells to survive and/or home to the brain and inability of drugs to pass an intact blood-brain barrier (BBB) [2,3]. It has been hypothesised that in contrast to the large monoclonal antibodies, the small molecule lapatinib (Tykerb/Tyverb; GlaxoSmithKline, Brentford, UK; molecular weight: 581.07), an oral dual epidermal growth factor receptor and Her-2 inhibitor, may cross the BBB. In addition, since lapatinib is a P-glycoprotein (Pgp) and breast cancer resistance protein (BCRP) substrate, therapeutic doses of lapatinib may inhibit drug efflux by blocking Pgp/BCRP [4], thereby enhancing its access into the brain through an intact BBB. In order to evaluate lapatinib access into normal brain and brain metastases, a positron emission tomography (PET) study was performed with carbon-11 radiolabelled lapatinib ([11C]lapatinib) in patients with Her-2-positive breast cancer. Further, in order to test our hypothesis that therapeutic doses of lapatinib increase brain access into the brain and brain metastases, by blockage of the drug efflux pump, paired [11C]lapatinib-PET imaging in patients before and after therapeutic doses of lapatinib was performed. A schematic representation of our study hypothesis is shown in Figure 1.
Figure 1

Study hypothesis. It was hypothesised that brain penetration in normal brain would increase with therapeutic serum concentrations of lapatinib due to the effect of lapatinib on drug efflux pumps. Higher brain penetration in metastases compared with normal brain was also hypothesised due to the disruption of the BBB in cranial metastases. 11C, carbon-11 radiolabelled; BBB, blood-brain barrier; PET, positron emission tomography.

Study hypothesis. It was hypothesised that brain penetration in normal brain would increase with therapeutic serum concentrations of lapatinib due to the effect of lapatinib on drug efflux pumps. Higher brain penetration in metastases compared with normal brain was also hypothesised due to the disruption of the BBB in cranial metastases. 11C, carbon-11 radiolabelled; BBB, blood-brain barrier; PET, positron emission tomography.

Methods

Study design

An open-label study was performed in patients with Her-2-positive breast cancer with no brain metastases (cohort 1) and with at least a single brain metastases ≥1 cm (cohort 2) as confirmed by MRI. Other inclusion criteria included female patients aged at least 18 years with histologically or cytologically confirmed advanced or metastatic breast cancer with overexpression of Her-2, Eastern Cooperative Oncology Group (ECOG) performance status of 0–2, stable condition as judged by the investigator and adequate hepatic and renal function. An Allen’s test to check the adequacy of collateral circulation of the hand was also performed at screening as radial arterial cannulation was performed on the day of the scan. The protocol stipulated that patients were not allowed to receive concurrent treatment with an investigational medicinal product or anti-cytotoxic therapy whilst on the imaging part of the study apart from the use of anastrozole. Patients were required a washout period of 4 weeks and 30 days after previous radiotherapy or chemotherapy, respectively. Up to 1.5 mg of dexamethasone was allowed whilst patients were on the imaging part of the study. Two PET-computed tomography (CT) scans were performed after administration of a microdose (<20 μg) of [11C]lapatinib, (i) at baseline (day 1) in lapatinib-naïve patients and (ii) after 7 days of 1,500 mg of oral lapatinib daily, starting on day 1 after completion of the day 1 PET scan. The day 8 PET scan started at 3 h post-dosing of oral lapatinib to coincide with the known maximal plasma lapatinib level (C max). Approval was obtained from the West London Research Ethics Committee (10/H0707/93) to conduct this PET imaging study in this patient group with metastatic disease during the ‘window’ prior to starting lapatinib-based therapy. Approval was also obtained from the UK Administration of Radioactive Substances Advisory Committee. The study was registered with the European Union Clinical Trials database (EudraCT 2009-009884-76), National Institute of Health database (NCT01290354) and the National Cancer Research Network study portfolio (NCRN262).

Patients

Demographics and disease characteristics of the eight patients recruited to the study are detailed in Table 1. Six patients (three with and three without brain metastases) underwent both baseline and day 8 [11C]lapatinib-PET scans, except one who was unable to have the baseline scan due to radiochemistry failure (tumour receptor status and injected radioactivity and mass for patients scanned are summarised in Tables 2 and 3, respectively). In another subject, the baseline scan was not assessable due to tissue extravasation of the radiotracer. All three patients with brain metastases had completed prior cranial radiotherapy about 5, 11 and 70 weeks prior to the baseline PET scan (Table 3). Optional extra-cranial static PET scans were obtained for six PET sessions, approximately 95 to 100 min after [11C]lapatinib injection to evaluate the uptake of [11C]lapatinib in sites of extra-cranial metastases and normal tissue within the field of view of the optional scan. Two of the eight patients recruited were unable to undergo [11C]lapatinib-PET scans due to inability to reschedule scans after radiochemistry failure and due to regulatory issues. As it was unethical to delay start of their therapy to accommodate the [11C]lapatinib-PET scans, both the subjects started their lapatinib therapy on time, as planned.
Table 1

Patient demographics and disease characteristics of all patients recruited

Demographic characteristics Value
Age in years, mean (range)55.9 (42 to 79)
Race, n (%)
  White4 (50)
  African heritage2 (25)
  Asian - Japanese/East Asian/Southeast Asian heritage1 (13)
  Asian - Central/South Asian heritage1 (13)
Baseline ECOG performance status, n (%)
  06 (77)
  22 (25)
Time since diagnosis (years), median (range)4.5 (1 to 9)

Of the eight patients recruited, only six patients underwent PET. ECOG, Eastern Cooperative Oncology Group; PET, positron emission tomography.

Table 2

Tumour receptor status of patients imaged in the study

Subject number HER-2 status (IHC) Oestrogen receptor (ER) status Progesterone receptor (PR) status
13+ER negativePR negative
33+ER negativePR positive
43+ER positivePR negative
72+ER positivePR negative
93+ER positivePR positive
103+ER negativePR negative

IHC, immunohistochemistry.

Table 3

Patient injected radioactivity and mass of [ C]lapatinib

Subject number Brain metastases Time lapse after previous cranial RT (weeks) Scan day Injected activity (MBq) Radiotracer mass (μg)
1NoNABaseline441.16
Day 81484.45
3NoNABaseline694.47
Day 82885.21
4Yes70Baseline1042.26
Day 82293.77
7Yes5Baseline34912.39
Day 81676.85
9NoNABaseline222a 6.73
Day 81395.50
10Yes11Baseline-b -
Day 81144.65

aData not included in analysis due to tissue extravasation of radiotracer injection. bSubject was unable to have baseline scan due to radiochemistry failure. MBq, megabecquerel; NA, not applicable as patients did not have brain metastases.

Patient demographics and disease characteristics of all patients recruited Of the eight patients recruited, only six patients underwent PET. ECOG, Eastern Cooperative Oncology Group; PET, positron emission tomography. Tumour receptor status of patients imaged in the study IHC, immunohistochemistry. Patient injected radioactivity and mass of [ C]lapatinib aData not included in analysis due to tissue extravasation of radiotracer injection. bSubject was unable to have baseline scan due to radiochemistry failure. MBq, megabecquerel; NA, not applicable as patients did not have brain metastases.

Radiochemistry

[11C]Lapatinib was prepared in a two-pot four-step synthesis, with intermediate preparation of [11C]-3-fluorobenzyl iodide (Figure 2). Cyclotron-derived [11C]CO2 was first reacted with 3-fluorophenylmagnesium bromide in tetrahydrofuran. The resulting acid was reduced with lithium aluminium hydride, followed by iodination reaction in the presence of hydriodic acid. The obtained [11C]-3-fluorobenzyl iodide was intermediately purified by solid-phase extraction, before being reacted with the lapatinib precursor in dimethylformamide in the presence of caesium carbonate. Purification of [11C]lapatinib was achieved by reverse-phase high-performance liquid chromatography (HPLC). The fraction containing the product was formulated into 20% ethanolic saline by solid-phase extraction, followed by filtration through a 0.2-μm Pall Tuffryn® membrane (Pall Corporation, Port Washington, NY, USA). Quality control methods for clinical batches of [11C]lapatinib were developed in accordance with the European Pharmacopoeia guidelines.
Figure 2

Fully automated and good manufacturing process-compatible synthesis developed to label lapatinib with radiolabelled carbon-11 in the benzylic position. [11C]Lapatinib was prepared in a two-pot four-step synthesis, with intermediate preparation of [11C]-3-fluorobenzyl iodide that was reacted in the last step with the lapatinib precursor. 11C, carbon-11.

Fully automated and good manufacturing process-compatible synthesis developed to label lapatinib with radiolabelled carbon-11 in the benzylic position. [11C]Lapatinib was prepared in a two-pot four-step synthesis, with intermediate preparation of [11C]-3-fluorobenzyl iodide that was reacted in the last step with the lapatinib precursor. 11C, carbon-11.

PET scanning procedure and blood sampling

Following a low-dose CT scan for attenuation correction, dynamic PET scans lasting 90 min were performed on a Siemens HiRez 6 PET-CT scanner (Siemens, Munich, Germany) after intravenous administration of [11C]lapatinib. PET data were reconstructed using filtered back projection with corrections for attenuation, scatter, randoms and dead time, into 26 frames of the following duration: 8 × 15 s, 3 × 60 s, 5 × 120 s, 5 × 300 s and 5 × 600 s. Continuous (5 mL/min for 15 min) and discrete (from 5 to 90 min after injection) sampling of radial arterial blood was performed throughout the PET scan for radioactivity and radioactive metabolite analyses. Whole-blood and plasma radioactivity measurements were performed on a PerkinElmer 1470 Wizard well counter (PerkinElmer, Waltham, MA, USA). An Agilent 1200 HPLC analytical system (Agilent Technologies, Inc., Santa Clara, CA, USA) was used to determine the fraction of radioactivity corresponding to the intact parent compound. Additional hourly blood samples from 1 to 6 h after oral lapatinib dosing were assessed on the day 8 scan. Radiation dosage to patients in the study from exposure to the radiopharmaceutical and the attenuation CT scan of the head was 6.5 mSv, equivalent to approximately 3 years of background radiation exposure in the UK. An optional extra-cranial static PET for 10 min was performed in some of the patients.

Patient monitoring

Fourteen days after the second PET scan, patients were reverted to standard hospital treatment by their oncologist which in most instances was lapatinib and capecitabine. Adverse events (AEs) were noted starting from the baseline scan to 14 days after the second scan; after this, AEs were not actively sought but noted on patient self-reporting.

Data analysis

Tumour and normal brain regions of interest manually drawn using Analyze® software were applied to dynamic PET images to obtain time versus radioactivity curves (TACs), which were corrected for radioactive decay and normalised for injected radioactivity and patient’s body weight. Tissue uptake (standardised uptake value) and exposure (area under the TAC (AUC)) were calculated. Novel methods were developed to exclude the effects of blood volume signal from images. As the blood volume fraction in metastases cannot be assumed, kinetic modelling was performed to fit the blood volume fraction. This modelling was performed on a voxel-by-voxel basis to remove any assumptions about region boundaries and does not assume homogeneity of blood volume. The fraction of PET signal enabled dissection of the total signal into blood and non-blood components and permitted visual evaluation of metastases in the PET image. Kinetic tissue modelling was performed using in-house MIAKAT™ software implemented using Matlab R2008b (The MathWorks Inc., Natick, MA, USA) to obtain PET volume of distribution (V T) [5]. Statistical t-tests were performed to evaluate differences in tissue exposure.

Results

PET scanning

The scanning procedure was well tolerated by all patients. Apart from some soreness and self-resolving mild local swelling, there were no local consequences in the patient who experienced extravasation of the radiotracer. There were no other acute side effects related to the administration of [11C]lapatinib. The most common AEs observed after completion of the imaging part of the study were diarrhoea (88%), vomiting (50%) and nausea (38%), in keeping with the AE profile of oral lapatinib. The overall recruitment of patients to the study lasted 17 months.

Radiochemistry productions

There were 4/15 (27%) radiochemistry production run failures, mostly equipment-related, due to the complexity of the fully automated process. The mean (standard deviation (SD)) radiochemical yield generated for quality control was 1,286 (572) MBq, with the high variability due to sensitivity of most of the reagents used and the complexity of the synthesis. Although the radioactivity released for injection was 492 (201) MBq, the sticky nature of the [11C]lapatinib solution leading to its adherence to the injection syringe and line resulted in lower administered activity (170 (93) MBq; SD (Table 3)). The mean radiochemical purity was 100%, and the mean (SD) mass and specific activity of [11C]lapatinib was 5.22 (2.92) μg and 66 (24) GBq/μmol, respectively.

Blood data

Radioactivity data

Arterial blood data obtained from all scans revealed a mean radioactivity in plasma of 83% at 60 min which corresponded to [11C]lapatinib with minimal variability allowing generation of population [11C]lapatinib fraction. Individually measured blood and plasma data were used with the population parent fraction curve to generate the required plasma parent input function.

Plasma lapatinib on day 8

Pharmacokinetic parameters were variable, spanning a fourfold range of values, consistent with previous published data [6]. The maximum observed concentrations (C max) were 911 to 4,121 (mean 2,592) ng/mL and varied 1.4 to 14.7-fold over the pre-dose concentration (range 136 to 4,121 ng/mL; mean 445 ng/mL). Lag times in absorption ranged from 0 to 4 h post-dose. The absorption phase appeared to be complete by 6 h (T max) in all but two patients (patients 3 and 7); in these two patients, actual C max may be higher and T max later than the observed values.

Imaging data

Semi-quantitative tissue uptake

Mean TAC for normal brain from the day 8 scans plotted with individual TACs for brain metastases (Figure 3A) and with mean whole blood and plasma [11C]lapatinib TAC (Figure 3B) illustrates the high variability of uptake in metastases compared with normal brain. No difference in within-tissue exposure (AUC) was observed between days 1 and 8 in normal brain and metastases. However, tissue exposure was significantly higher in metastases compared with normal brain (p = 0.002 (Figure 3C,D and Table 4)).
Figure 3

Radioactivity versus time curves and tissue exposure. Time-activity curves (TACs) for individual metastases for all the subjects from the day 8 PET scan (A) show variability in uptake between and within patients. Mean TAC is also shown for comparison (green) and shows minimal variability. In (B), mean TACs for normal brain (green) is plotted for comparison with mean whole blood (red) and plasma (plasma) TACs. Uptake has been corrected for injected activity and normalised for body weight and quantified in the Y-axis as standardised uptake value (SUV; g/mL). Tissue exposure (area under the TAC SUV (min.g/mL) for normal brain (C) and metastases (D) shows variability in uptake in metastases. However, there is minimal variability in uptake within metastases on day 1 (red bars) compared to day 8 (green bars). Minimal variability in lapatinib uptake is seen in normal brain between subjects. AUC, area under the curve concentration; contrib, contribution; min, minutes; Sub, subject; SUV, standardised uptake value; TAC, time-averaged concentration.

Table 4

Tissue exposure (AUC) for the duration of the PET scan

Normal brain AUC (min.g/mL) Tumour metastases AUC (min.g/mL)
Sub 1 - BL319.6318Sub 4 met - BL708.198
Sub 1 - D 8328.7575Sub 4 met - D 8623.23
Sub 3 - BL304.0247Sub 7 met 1 - BL518.227
Sub 3 - D 8301.1074Sub 7 met 1 - D 8665.909
Sub 4 - BL203.6962Sub 7 met 2 - BL2,584.31
Sub 4 - D 8198.8753Sub 7 met 2 - D 82,757.86
Sub 7 - BL289.1109Sub 10 met 1 - D 82,731.19
Sub 7 - D 8272.9378Sub 10 met 2 - D 81,577.81
Sub 9 - D 8233.2629Sub 10 met 3 - D 82,289.3
Sub 10 - D 8252.7335Sub 10 met 4 - D 81,647.02

AUC, area under the curve concentration; BL, baseline; D, day; met, metastases; min, minutes; PET, positron emission tomography; Sub, subject.

Radioactivity versus time curves and tissue exposure. Time-activity curves (TACs) for individual metastases for all the subjects from the day 8 PET scan (A) show variability in uptake between and within patients. Mean TAC is also shown for comparison (green) and shows minimal variability. In (B), mean TACs for normal brain (green) is plotted for comparison with mean whole blood (red) and plasma (plasma) TACs. Uptake has been corrected for injected activity and normalised for body weight and quantified in the Y-axis as standardised uptake value (SUV; g/mL). Tissue exposure (area under the TAC SUV (min.g/mL) for normal brain (C) and metastases (D) shows variability in uptake in metastases. However, there is minimal variability in uptake within metastases on day 1 (red bars) compared to day 8 (green bars). Minimal variability in lapatinib uptake is seen in normal brain between subjects. AUC, area under the curve concentration; contrib, contribution; min, minutes; Sub, subject; SUV, standardised uptake value; TAC, time-averaged concentration. Tissue exposure (AUC) for the duration of the PET scan AUC, area under the curve concentration; BL, baseline; D, day; met, metastases; min, minutes; PET, positron emission tomography; Sub, subject.

Quantification of uptake with model-independent methods

To verify if [11C]lapatinib crossed an intact BBB, the contribution of blood volume to the PET was corrected by scaling the tissue TACs assuming a 5% cerebral blood volume [7] and compared with arterial TACs. In contrast to normal brain TACs which were identical to blood TACs (Figure 4A), uptake in metastases was higher than that accounted by blood volume only (Figure 4B), confirming that the PET signal in normal brain was due to the blood volume and not due to access of [11C]lapatinib in to the brain tissue.
Figure 4

Blood volume contribution to activity to intracerebral uptake. Mean radioactivity versus time curves for (A) normal brain and (B) brain metastases and scaled-down blood radioactivity versus time curves to illustrate cerebral blood volumes of 5%. Sub, subject; SUV, standardised uptake value; min, minutes.

Blood volume contribution to activity to intracerebral uptake. Mean radioactivity versus time curves for (A) normal brain and (B) brain metastases and scaled-down blood radioactivity versus time curves to illustrate cerebral blood volumes of 5%. Sub, subject; SUV, standardised uptake value; min, minutes. However, since the blood volume in metastases may be higher and not 5% as in normal brain, a blood volume fraction model was fitted to dynamic data, which permitted dissection of the PET image data into fitted non-blood and blood components and allowed visual assessment (Figure 5). These images show that the uptake of radioactivity in the brain metastases (highlighted in blue circle) is higher than that contributed from a model-fitted blood volume, suggesting that the observed uptake of [11C]lapatinib in brain metastases cannot be attributed to blood volume alone.
Figure 5

Image data for patient 10. The image data show radioactivity distribution in normal brain and cerebral metastases (enclosed in blue circle) (top panel) and are separated into non-blood (middle upper panel), blood (middle lower panel) and corresponding contrast-enhanced MRI images (bottom panel). Since the blood volume in metastases may not be 5%, a blood volume fraction model was fitted to dynamic data on a voxel-by-voxel basis. The uptake of radioactivity in the brain metastases was higher than that contributed from a model-fitted blood volume. MRI, magnetic resonance imaging; SUV, standardised uptake value.

Image data for patient 10. The image data show radioactivity distribution in normal brain and cerebral metastases (enclosed in blue circle) (top panel) and are separated into non-blood (middle upper panel), blood (middle lower panel) and corresponding contrast-enhanced MRI images (bottom panel). Since the blood volume in metastases may not be 5%, a blood volume fraction model was fitted to dynamic data on a voxel-by-voxel basis. The uptake of radioactivity in the brain metastases was higher than that contributed from a model-fitted blood volume. MRI, magnetic resonance imaging; SUV, standardised uptake value.

Kinetic modelling of tissue data

As normal brain tissue signal was adequately described as a simple blood volume component, no further modelling was required. Metastases TACs were noisy and thus described adequately by several models, with the most appropriate being a one-tissue compartment model for reversible binding, with PET V T estimates ranging from 0.16 to 1.03 with no significant differences in V T or K 1 (the other model parameter) between baseline and day 8 scans. Therefore, assuming equilibrium conditions, lapatinib concentrations in metastases between 300 and 2,000 ng/mL (0.52 to 3.44 μM) were estimated by multiplying the PET V T by the plasma lapatinib concentration on day 8.

[11C]lapatinib uptake in other tissues

[11C]Lapatinib uptake was observed in tissues such as muscle and bone (Figure 5) that were within the FoV of the cranial PET scans. However, due to the short half-life of carbon-11 (20 min), the in vivo radioactivity was reduced to <4% of the administered activity by the time (approximately 100 min) the optional extra-cranial scans were completed. This, combined with biological washout, meant that the images contained relatively high noise compared with the signal. Uptake was observed in extra-cranial tumours, although the signal quality was insufficient to support quantitative analysis. Higher uptake on visual inspection was primarily observed in the liver and gallbladder when they were in the scanner’s field of view.

Discussion and conclusions

In this study, we have clearly demonstrated that there is uptake of lapatinib in brain metastases that cannot be attributed to blood volume effects alone. The extent of uptake was highly variable between the metastases, consistent with preclinical rodent studies [8] and clinical data from Morikawa et al. which showed a 60-fold variability of lapatinib uptake (1 to 63 μM) in resected brain metastases of four patients after oral lapatinib [9]. Although the sevenfold variability (300 to 2,000 ng/mL; 0.5 to 3.4 μM) in metastatic uptake observed in our study was lower, which may be due to some imprecision in our estimation due to low biological uptake and small volume of the metastases sampled, adequate fitting of kinetic models was obtained. Nevertheless, lapatinib concentrations in brain metastases in our study were comparable to those obtained by Morikawa et al. [10] and within the range of the half maximal inhibitory concentration (IC50) for breast cancer cell lines (0.025 to 5 μM) [4]. However, the variable lapatinib uptake in metastases demonstrates the challenge posed by tumour heterogeneity [9], a barrier for optimisation of therapy as demonstrated by the modest single-agent clinical activity [11]. In contrast to Morikawa et al., we were also able to evaluate lapatinib uptake in normal brain and observed a consistent lack of lapatinib uptake in normal brain, in patients with and without brain metastases. The radioactivity observed in normal brain was due to brain vasculature activity and not due to brain tissue uptake. Our hypothesis that therapeutic levels of lapatinib [4] may increase lapatinib brain uptake by acting as a substrate for drug efflux proteins was disproved in normal brain and metastases. This would imply that the utility of lapatinib as prophylactic therapy that aimed to exploit the study hypothesis is likely to be futile. However, from the study design, it is not possible (nor did we aim) to investigate lapatinib access into normal brain in combination with other cytotoxic agents or agents that target the BBB [12,13]. Since the uptake of [11C]lapatinib coincides with regions of enhanced signal on gadolinium magnetic resonance relative to areas of no uptake, we have established that lapatinib uptake in brain metastases is mainly a result of local BBB impairment in the metastases. This confirms the preclinical data which similarly demonstrated that uptake in brain metastases correlated with altered BBB permeability and that uptake in normal brain was very minimal even at higher doses of lapatinib suggesting that higher doses of lapatinib were unable to block the drug efflux mechanisms, as anticipated [8,14]. We observed bone uptake that may be consistent with Her-2 expression in haematopoietic cells [15]. Despite the poor image quality of extra-cranial PET, increased uptake in the liver and gallbladder was consistent with the known hepatic metabolism of lapatinib. Management of cranial disease remains a challenge in patients with Her-2-positive breast cancer and is an unmet need [2]. Although lapatinib and capecitabine in combination demonstrated activity in patients with previously untreated Her-2-positive brain metastases [12], the CEREBEL study was unable to demonstrate the lack of superiority for lapatinib over trastuzumab in the prevention of brain metastases [16]. Therefore, this study if it had been performed earlier would possibly have informed an alternative design of the CEREBEL study. This also highlights the importance of planning and conducting such small but important translational imaging studies early in the rational development of drugs. Despite the value demonstrated, such studies require considerable radiochemistry development to quality clinical standards, are technically and logistically challenging and are restricted to specialised centres. However, the highly sensitive and quantitative nature of PET provided conclusive answers with six patients to facilitate decision-making in the clinical development of a drug asset. Significantly, if such answers are provided early, this may result in cost-saving and rational drug development.

Key message

Patients with Her-2-positive breast cancer have higher incidence of brain metastases. PET scans were done after administration of carbon-11 radiolabelled lapatinib to investigate intracranial lapatinib access. Lapatinib uptake was observed in brain metastasis, but not in normal brain, suggesting that lapatinib may have a role in the treatment of brain metastases but not in its prevention.
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4.  Lapatinib distribution in HER2 overexpressing experimental brain metastases of breast cancer.

Authors:  Kunal S Taskar; Vinay Rudraraju; Rajendar K Mittapalli; Ramakrishna Samala; Helen R Thorsheim; Julie Lockman; Brunilde Gril; Emily Hua; Diane Palmieri; Joseph W Polli; Stephen Castellino; Stephen D Rubin; Paul R Lockman; Patricia S Steeg; Quentin R Smith
Journal:  Pharm Res       Date:  2011-10-20       Impact factor: 4.200

5.  Association of c-erbB-2 protein over-expression with high rate of cell proliferation, increased risk of visceral metastasis and poor long-term survival in breast cancer.

Authors:  O P Kallioniemi; K Holli; T Visakorpi; T Koivula; H H Helin; J J Isola
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6.  Central nervous system metastases in patients with HER2-positive metastatic breast cancer: incidence, treatment, and survival in patients from registHER.

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Journal:  Clin Cancer Res       Date:  2011-07-15       Impact factor: 12.531

7.  Metastatic behavior of breast cancer subtypes.

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8.  An unexpected synergist role of P-glycoprotein and breast cancer resistance protein on the central nervous system penetration of the tyrosine kinase inhibitor lapatinib (N-{3-chloro-4-[(3-fluorobenzyl)oxy]phenyl}-6-[5-({[2-(methylsulfonyl)ethyl]amino}methyl)-2-furyl]-4-quinazolinamine; GW572016).

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Journal:  Drug Metab Dispos       Date:  2008-12-04       Impact factor: 3.922

9.  Multicenter phase II study of lapatinib in patients with brain metastases from HER2-positive breast cancer.

Authors:  Nancy U Lin; Véronique Diéras; Devchand Paul; Dominique Lossignol; Christos Christodoulou; Hans-Joachim Stemmler; Henri Roché; Minetta C Liu; Richard Greil; Eva Ciruelos; Sibylle Loibl; Stefania Gori; Andrew Wardley; Denise Yardley; Adam Brufsky; Joanne L Blum; Stephen D Rubin; Bernie Dharan; Klaudia Steplewski; Denise Zembryki; Cristina Oliva; Debasish Roychowdhury; Paolo Paoletti; Eric P Winer
Journal:  Clin Cancer Res       Date:  2009-02-15       Impact factor: 12.531

10.  Capecitabine and lapatinib uptake in surgically resected brain metastases from metastatic breast cancer patients: a prospective study.

Authors:  Aki Morikawa; David M Peereboom; Helen R Thorsheim; Ramakrishna Samala; Rajiv Balyan; Conleth G Murphy; Paul R Lockman; Ahkeem Simmons; Robert J Weil; Viviane Tabar; Patricia S Steeg; Quentin R Smith; Andrew D Seidman
Journal:  Neuro Oncol       Date:  2014-07-11       Impact factor: 12.300

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  30 in total

Review 1.  (11)C[double bond, length as m-dash]O bonds made easily for positron emission tomography radiopharmaceuticals.

Authors:  Benjamin H Rotstein; Steven H Liang; Michael S Placzek; Jacob M Hooker; Antony D Gee; Frédéric Dollé; Alan A Wilson; Neil Vasdev
Journal:  Chem Soc Rev       Date:  2016-08-22       Impact factor: 54.564

Review 2.  Phase 0/microdosing approaches: time for mainstream application in drug development?

Authors:  Tal Burt; Graeme Young; Wooin Lee; Hiroyuki Kusuhara; Oliver Langer; Malcolm Rowland; Yuichi Sugiyama
Journal:  Nat Rev Drug Discov       Date:  2020-09-08       Impact factor: 84.694

3.  Drug Resistance in HER2-Positive Breast Cancer Brain Metastases: Blame the Barrier or the Brain?

Authors:  Sheheryar Kabraji; Jing Ni; Nancy U Lin; Shaozhen Xie; Eric P Winer; Jean J Zhao
Journal:  Clin Cancer Res       Date:  2018-02-06       Impact factor: 12.531

Review 4.  The blood-brain barrier and blood-tumour barrier in brain tumours and metastases.

Authors:  Costas D Arvanitis; Gino B Ferraro; Rakesh K Jain
Journal:  Nat Rev Cancer       Date:  2019-10-10       Impact factor: 60.716

Review 5.  Systemic therapy of brain metastases: non-small cell lung cancer, breast cancer, and melanoma.

Authors:  Marc C Chamberlain; Christina S Baik; Vijayakrishna K Gadi; Shailender Bhatia; Laura Q M Chow
Journal:  Neuro Oncol       Date:  2017-01       Impact factor: 12.300

6.  Brain exposure of the ATM inhibitor AZD1390 in humans-a positron emission tomography study.

Authors:  Aurelija Jucaite; Per Stenkrona; Zsolt Cselényi; Serena De Vita; Nuria Buil-Bruna; Katarina Varnäs; Alicia Savage; Andrea Varrone; Peter Johnström; Magnus Schou; Chris Davison; Andy Sykes; Venkatesh Pilla Reddy; Matthias Hoch; Ana Vazquez-Romero; Mohammad Mahdi Moein; Christer Halldin; Melinda S Merchant; Martin Pass; Lars Farde
Journal:  Neuro Oncol       Date:  2021-04-12       Impact factor: 12.300

7.  Characteristics and Outcomes of Patients With Breast Cancer With Leptomeningeal Metastasis.

Authors:  Aki Morikawa; Lilly Jordan; Raquel Rozner; Sujata Patil; Adrienne Boire; Elena Pentsova; Andrew D Seidman
Journal:  Clin Breast Cancer       Date:  2016-07-25       Impact factor: 3.225

8.  Total Radiosynthesis: Thinking outside "the box".

Authors:  Steven H Liang; Neil Vasdev
Journal:  Aust J Chem       Date:  2015-08-28       Impact factor: 1.321

Review 9.  Restriction of drug transport by the tumor environment.

Authors:  Rajender Nandigama; Berin Upcin; Bertal H Aktas; Süleyman Ergün; Erik Henke
Journal:  Histochem Cell Biol       Date:  2018-10-25       Impact factor: 4.304

Review 10.  Targeted Therapies for the Treatment of Brain Metastases in Solid Tumors.

Authors:  Jan-Paul Bohn; Georg Pall; Guenther Stockhammer; Michael Steurer
Journal:  Target Oncol       Date:  2016-06       Impact factor: 4.493

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