Abstract
Epertinib (S-222611) is a potent, reversible, and selective tyrosine kinase inhibitor of epidermal growth factor receptor (EGFR), human EGFR2 (HER2), and human EGFR4. We developed experimental brain metastasis models by intraventricular injection (intraventricular injection mouse model; IVM) of HER2-positive breast cancer (MDA-MB-361-luc-BR2/BR3) or T790M-EGFR-positive lung cancer (NCI-H1975-luc) cells. After a single oral administration, epertinib and lapatinib concentrations in brain metastatic regions were analyzed by quantitative imaging mass spectrometry. In the NCI-H1975 lung cancer IVM, the concentration of epertinib in brain metastasis was comparable to that of lapatinib. However, in the MDA-MB-361 breast cancer IVM, the concentration of epertinib in brain metastasis was >10 times higher than that of lapatinib. Furthermore, the epertinib tumor-to-normal brain ratio was ~4 times higher than that of lapatinib. Blood-tumor barrier (BTB) permeability was assessed in each brain metastatic region. In the lung cancer model, fluorescently labeled dextran was more highly detected in brain metastatic regions than in brain parenchyma. However, in breast cancer models, dextran fluorescence intensity in brain metastatic regions and brain parenchyma were comparable, suggesting that the BTB remained largely intact. Epertinib would be promised as a therapeutic agent for HER2-positive breast cancer with brain metastasis.
Introduction
Breast cancer is a heterogeneous disease with treatment options varying with biological markers. Individual patient prognosis depends on the status of biological markers in the primary tumor including the estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), and Ki671,2. HER2 is amplified in 25–30% of human breast cancers and is associated with enhanced tumor aggressiveness and reduced patient survival3,4. Recently, the rate of brain metastasis of breast cancer has increased, occurring in ≥15% of patients. In some patient sub-populations, with tumors defined as HER2-positive or “triple-negative” (ER and PR negative, HER2 negative), the rate of brain metastasis exceeds 35%5–7. Patients with HER2-positive and triple-negative breast cancer are at increased risk of developing brain metastasis6,8. Longer survival of patients with metastatic breast cancer and improved imaging techniques are associated with the increased incidence of reported brain metastasis. Patients who develop brain metastases tend to have poor prognosis with short overall survival. Additionally, brain metastasis is a major cause of morbidity, and is associated with progressive neurological deficits resulting in reduced quality of life5–8. Current therapies for patients with breast cancer brain metastasis include surgical resection, whole-brain radiation therapy, stereotactic radiosurgery, chemotherapy, and targeted therapy9. However, the therapeutic benefits of these therapies are limited and unmet medical needs remain. The development of brain metastasis is complex and, requires invasion of primary breast cancer cells into surrounding tissues and vessels, traffic through the circulatory system, colonization, and growth in the brain parenchyma. Furthermore, many available therapies are unable to cross the blood-tumor barrier (BTB)10.
Lapatinib, a small molecule EGFR and HER2 dual kinase inhibitor, was the first agent approved by the FDA for the treatment of advanced or metastatic breast cancer11. Lapatinib has been extensively tested in the treatment of breast cancer patients with brain metastases and clinical information, including clinical pharmacokinetic (PK)/pharmacodynamics (PD) studies12. Additionally, it is possible to evaluate lapatinib uptake in experimental brain metastases models. Using clinically relevant doses of lapatinib, it is possible to compare the distribution in clinical and non-clinical studies. The FDA has approved the clinical use of lapatinib in combination with capecitabine (Xeloda®). However, to accurately evaluate the single drug distribution, we selected a single administration of lapatinib as the reference experimental setting.
Epertinib (S-222611) is an oral, reversible EGFR, HER2, and HER4 tyrosine kinase inhibitor (TKI) with antitumor activity in animal models expressing these proteins13. In phase I trials, epertinib has been well tolerated with efficacy against HER2-positive tumors, including breast cancer metastasized to brain14–17. In phase I/II trials, the progression free survival of patients treated with epertinib is longer than that reported in other studies of TKIs for which a similar target population was enrolled. Furthermore, treatment with epertinib, in combination with trastuzumab, showed a tumor response in seven of 21 patients previously treated with lapatinib in combination with capecitabine or ado-trastuzumab emtansine18. In all the participants in a clinical trial, two of 45 patients with brain metastases as the target lesion showed tumor reduction (partial response). To understand the mode of action of epertinib in patients with intact BTBs, we developed experimental brain metastasis models in mice by serial in vivo passage (intraventricular injection mouse model; IVM). Mechanistic understanding of pharmacological and toxicological events in vivo can fundamentally improve the chances of a candidate compound succeeding in a clinical trial. Many analytical tools aim to examine the in vivo distribution of a drug, and its metabolites, in target tissues. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) with electrospray ionization is widely used in drug distribution studies19,20. However, LC/MS/MS cannot provide spatial information on drug distribution within an organ because the analyte is extracted for quantification from homogenized tissue samples.
Matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI-IMS) was developed to directly visualize the distribution of small (drugs, lipids, and endogenous metabolites) and large molecules (peptides and proteins) in tissue sections without radiolabeling21–23. The MALDI-IMS method has been developed for quantification of small molecule drugs in the past few years24–26. Quantitative MALDI-IMS has been applied to gain an understanding of the molecule-based distribution of pharmacological agents in heterogeneous tissues with complex structures27,28. To understand the efficacy and safety of drug candidates, it is important to know both the specific distribution and concentration of a compound within the target regions.
Here, we aimed to enhance the clinical predictability of epertinib by evaluating its distribution and efficacy in the treatment of brain metastasis of HER2-positive breast cancer. We used HER2-positive breast cancer, or T790M-EGFR expressing lung cancer IVMs. Additionally, we employed quantitative MALDI-IMS to analyze the distribution and concentration of epertinib in brain metastasis and compared the results with those of competitive agent. Our results show that MALDI-IMS can be utilized in practical applications in drug discovery research.
Results
Pharmacokinetics of epertinib and lapatinib in mice
In order to support the effects of epertinib and lapatinib on brain metastasis from a perspective of pharmacokinetics, plasma and brain concentrations of epertinib and lapatinib are shown in Table 1. The pharmacokinetic parameters observed after single oral administrations of epertinib hydrochloride or lapatinib ditosylate monohydrate (20 mg/kg as epertinib or lapatinib) in mice implanted intracranially with MDA-MB-361 are shown in Table 1. The chemical structures of epertinib, epertinib-d 9, lapatinib, and lapatinib-d 7 are shown in Fig. 1. Tmax values of both epertinib and lapatinib in brain were achieved 4 h after oral administration. Four hours after oral administration, the brain concentration of epertinib was approximately twice that of lapatinib. The plasma exposure (AUC0–24 h) after a single oral administration of 50 mg/kg epertinib (9.98 µg·h/mL) or lapatinib (34.1 µg·h/mL) in nude mice was equivalent to that of epertinib (9.17 µg·h/mL) and lapatinib (27.3 µg·h/mL) in human at the effective doses of 800 mg/day or 1250 mg/day, respectively17.
Table 1.
Time (h) | Epertinib | Lapatinib | ||
---|---|---|---|---|
Plasma | Brain | Plasma | Brain | |
(ng/mL) | (ng/g) | (ng/mL) | (ng/g) | |
0.5 | 99.8 | 10.2 | 984.5 | 11.8 |
1 | 112.9 | 12.8 | 762.8 | 15.7 |
2 | 145.0 | 23.0 | 413.4 | 10.0 |
4 | 114.8 | 36.3 | 461.1 | 17.0 |
8 | 54.7 | 23.8 | 99.6 | 5.8 |
24 | 2.1 | 1.7 | 5.4 | 0.4 |
Cmax (ng/mL or ng/g) | 145 | 36 | 985 | 17 |
Tmax (h) | 2.0 | 4.0 | 0.5 | 4.0 |
AUC0–24 h (ng·h/mL or ng·h/g) | 1261 | 409 | 4107 | 144 |
Concentration data represents the mean of five mice except for 24 h data of lapatinib. (n = 4 for the 24 h data of lapatinib).
Distribution of epertinib and lapatinib in brain metastases of the breast cancer IVM
Based on the pharmacokinetic studies of epertinib and lapatinib in mouse and human, we performed a single oral dosing of 50 mg/kg epertinib or lapatinib in the IVMs (epertinib: BR2 and BR3 euthanized 4 h post dose administration: n = 3, BR3 euthanized 8 h post dose administration: n = 3, lapatinib: BR2 and BR3 euthanized 4 h post-dose administration: n = 3, BR3 euthanized 8 h post-dose administration: n = 2). Prior to IMS analysis, H&E staining was performed on serial sections to identify the position of tumors in the brain sections, and multiple small tumors (criteria: number of tumors > 2) were observed in the brains of the models. Epertinib and lapatinib distribution in tumors was visualized by IMS using the brain sections of the IVMs, and is clearly illustrated in magnified displays overlaying the ion and H&E staining images (Fig. 2). At 4 and 8 h after drug administration, epertinib signal was clearly detected by IMS in BR3 tumors (Fig. 2A and B) and in BR2 IVM tumors 4 h after administration (Supplementary Fig. S2A). However, lapatinib signal was quite low in tumors of both IVMs (Fig. 2C and D, and Supplementary Fig. S2B). BTB integrity in the IVM was assessed by measuring the fluorescence intensity of Texas-Red® dextran in the metastatic regions or brain parenchyma. Metastatic regions were defined as cancer cell clusters with DAPI staining in the same brain section (Fig. 2E and Supplementary Fig. S2C). Fluorescence intensity in the tumor and brain parenchymal regions was comparable, but lower than that observed in the choroid plexus (Fig. 2F and Supplementary Fig. S2D). The BTB remained largely intact in brain metastases of the IVM with breast cancer.
HER2 IHC was performed using serial sections to analyze the levels of HER2 expression in individual metastatic regions. HER2 expression was observed in all brain metastases of the IVM with breast cancer, and HER2 expression levels varied little among brain metastases (Fig. 2G and Supplementary Fig. S2E).
Quantitative analysis of epertinib and lapatinib
To determine the concentrations of epertinib and lapatinib in tumors of brain sections by IMS, the standard solutions used for calibration curves were directly spotted near the brain sections, on the same glass slides. Calculations were performed after normalization to the signal of epertinib-d 9 or lapatinib-d 7 signal as the internal standards to minimize ion suppression among the regions of the brain sections and between the tissue surface and glass slides31,32. In order to confirm the robustness of the IMS measurement, each brain section was determined between the calibration curves, resulting that the slopes of the calibration curves were almost the same and the correlation coefficients were over 0.99 (Supplementary Fig. S4). Four hours after administration, the tumor concentration of epertinib was over 10 times higher than that of lapatinib, and the tumor-to-normal brain ratio of epertinib was approximately four times higher than that of lapatinib in both IVMs (Fig. 3A and B). Eight hours after administration, the tumor concentration of epertinib in the IVM was maintained, and the tumor-to-brain ratio of epertinib was significantly higher than that of lapatinib (Fig. 3C and D). The plasma concentration of epertinib 4 h (1.44 ± 0.05 µg/mL and 1.30 ± 0.12 µg/mL for BR2 and BR3, respectively) and 8 h (0.92 ± 0.30 µg/mL for BR3) after drug administration in the IVM was measured by LC-MS/MS. Similarly, the plasma concentration of lapatinib 4 h (6.69 ± 1.31 µg/mL and 2.14 ± 0.22 µg/mL for BR2 and BR3, respectively) and 8 h (0.63 µg/mL for BR3) after drug administration was determined by LC-MS/MS. The plasma concentrations of both compounds in the IVM were lower at 8 h after administration than at 4 h after administration.
The average dextran fluorescence intensity observed in brain metastases (n = 20) and in normal brain regions (n = 18) was comparable. In brain sections (n = 18), the average dextran fluorescence intensity in metastatic regions was 7.8-fold less than the average intensity observed in the choroid plexus (Fig. 3E). HER2 IHC revealed only a 1.7-fold difference between brain metastatic regions (n = 19), indicative of low heterogeneity of HER2 expression in the brain metastases of the IVM with breast cancer (Fig. 3F).
Quantitative distribution analysis of epertinib and lapatinib in brain metastases of the lung cancer IVM
The concentrations of epertinib and lapatinib in brain metastasis of the IVM with lung cancer were analyzed by IMS. The staining was performed on serial sections to identify the positions of tumors in the brain sections, and indicated that the tumor size in brain of the IVM with lung cancer was larger than that observed in the IVM with breast cancer. This difference was attributed to the faster growth of NCI-H1975-luc cells (in vivo doubling time was 26 h and 176 h for NCI-H1975-luc and BR3, respectively). This is clearly illustrated in ion images showing the overlay of the epertinib or lapatinib ion and staining images. Four hours after administration of 100 mg/kg epertinib or lapatinib, the signal intensity of both compounds in tumors of the IVM with lung cancer were detected by IMS (Fig. 4A and B). Quantitative IMS analysis revealed that the tumor concentration of epertinib in the brain of the IVM with lung cancer was equivalent to that of lapatinib in the same tissues (Fig. 4C). In the IVM with lung cancer, the plasma concentrations of epertinib and lapatinib were 2.76 ± 0.66 µg/mL and 9.36 ± 1.78 µg/mL, respectively, 4 h after administration. The study on dextran incorporation showed that the average fluorescence intensity in brain metastasis (n = 29) was 2.3-fold higher than the average intensity in normal brain regions (n = 3), indicating that the BTB was disrupted in the lung cancer model. Tissue drug uptake in the IVM with lung cancer occurred irrespective of the physicochemical properties of the drug due to the disruption of the BTB.
Co-localization analysis of epertinib and the heme B blood marker in brain of IVMs with breast cancer
The tumor concentration of epertinib varied several-fold within brain sections and between individuals. Analysis of the correlation between the tumor epertinib concentration and the tumor volume (µm3) (tumor volume = tumor area × section thickness) revealed a weak correlation (r2 = 0.02, number of metastases: n = 42) (Fig. 5A). Next, we assessed the co-localization of epertinib and the heme B, blood marker, in the brain of the IVMs with breast cancer using IMS33,34. In most brain sections of the IVM with breast cancer, the ion intensity and pixel area of heme B around the tumors increased with increasing tumor concentrations of epertinib (Fig. 5B: tumor 3 > tumor 1 ≈ tumor 2 and 5 C: tumor 2 > tumor 1). In the BR3 IVM sectioned brain, harvested 8 h after epertinib administration, only tumors 3 and 4 showed no correlation between tumor epertinib concentration and ion intensity and pixel area of heme B (Fig. 5D: tumor 5 > tumor 1 > tumor 2, tumor 3 > tumor 4). The HER2 expression level observed in tumor 3 was notably higher than that observed in tumor 4 (Fig. 5E).
Antitumor activities of epertinib in the experimental brain metastasis of HER2-positive breast cancer
We evaluated the inhibitory activity of epertinib on the in vitro growth of the parental cell line, MDA-MB-361. The epertinib IC50 value for the MDA-MB-361 cell line was 26.5 nmol/L, remarkably lower than the concentration (5.2 µmol/L) of epertinib measured in brain metastases of the IVM with breast cancer. To compare the growth inhibitory activity of epertinib on the parental and metastatic (BR2) cell lines, we evaluated the antitumor activity of epertinib in both cell lines. Epertinib showed antitumor activity in the mammary fat pad implantation model using both cell lines and the ED50 values were comparable (24.1 mg/kg and 26.5 mg/kg for MDA-MB-361 and BR2, respectively, Fig. 6A and B). To confirm the antitumor activity of epertinib in the IVM, we examined the effect of epertinib on the IVM transplanted BR2. Once daily oral administration of 50 mg/kg epertinib significantly reduced the brain tumor volume, indicating that epertinib could have potent antitumor activity in brain metastasis even in the presence of an intact BTB (Fig. 6C and D).
Discussion
We used quantitative IMS to analyze and compare the distribution of epertinib and lapatinib in brain metastasis. IMS can simultaneously detect diverse molecules and obtain spatial distribution information capable of distinguishing between a drug and its metabolites in tissue sections21,35. Historically, drug metabolism and pharmacokinetic studies have used radiolabels to perform autoradiography and obtain information about tissue distribution. Previously, plasma concentrations of radioactivity and epertinib were determined after a single oral administration of [14C]-epertinib hydrochloride at a dose of 5 mg/kg (as epertinib) in rats (Supplementary Fig. S3). The plasma concentration of radioactivity decreased from a maximum (Cmax) of 93.4 ± 16.0 ng eq./mL at 4.00 ± 1.63 h after dosing. The area under the blood concentration-time curve (AUC)0–48 h and AUCinf values were 1720 ± 290 and 1870 ± 330 ng eq.·h/mL, respectively. The mean plasma concentrations of epertinib declined from a Cmax of 14.1 ± 3.6 ng/mL at 5.00 ± 1.15 h after dosing. The AUC0–12 h and AUCinf values were 126 ± 18 and 392 ± 316 ng·h/mL, respectively. The plasma epertinib/radioactivity concentration ratio ranged from 10.9% to 16.2% through the measurable points, and the AUCinf ratio was ~20.8 ± 15.0%. These results suggested that [14C]-epertinib was rapidly metabolized after oral administration and the majority of radioactivity in plasma was attributed to epertinib metabolites. The plasma concentration-time profiles of total unchanged lapatinib and radioactivity were measured in healthy volunteers after a single oral administration of 250 mg of [14C]-lapatinib36. The mean plasma concentration of lapatinib and total radioactivity at Cmax were 330 ng/mL and 720 ng eq./mL, respectively. In this study, autoradiography could not be used to analyze the distribution of epertinib and lapatinib in brain metastasis of the IVM because of the confounding effects of epertinib and lapatinib metabolites produced in vivo.
IMS allows the analysis of the distribution and concentration of drugs in small and complicated structures, such as brain metastases of the IVM. We previously developed a novel quantitative IMS method for small molecule drugs, making it possible to normalize ion suppression of a drug in some tissues using internal standards such as stable isotope labeling and structural analogs32. The quantitative capability of MALDI-IMS has recently been recognized and used in several studies applying quantitative IMS to drug discovery research37,38. The concentrations of epertinib in brain metastasis of both IVMs were comparable. Reproducibility of epertinib pharmacodynamics in the IVM using different cancer cell lines, combined with the results of the IMS study, indicates that epertinib can migrate to brain tumors resulting from breast cancer metastasis. In the IVM with lung cancer, the migration of epertinib to brain metastasis was rarely different from that of lapatinib. However, the migration of epertinib to brain metastases was significantly higher than that of lapatnib in the IVM with breast cancer. Dextran fluorescence was more intense in brain metastases than in parenchyma in the IVM with lung cancer. In the breast cancer IVM, the fluorescence intensity of dextran in brain metastasis and parenchyma were comparable. These results indicate that the BTB remained largely intact in the breast cancer model but was disrupted in the lung cancer model. Maintenance of BTB integrity in the breast cancer model was confirmed by the tumor-to-normal brain ratio of lapatinib. These findings indicate that the migration of epertinib into brain tumors caused by breast cancer metastasis is superior to that of lapatinib.
We developed the experimental brain metastasis of HER2-positive breast cancer MDA-MB-361 by serial in vivo passages. MDA-MB-361 has been originally established from brain metastasis site of breast cancer patient, and known as highly expressed endogenous HER239. BTB heterogeneity has been shown in the exogenous HER2 overexpressing MDA-MB-231-BR-HER2 experimental brain metastasis model, and lapatinib distribution varied among brain metastases, correlating with altered BTB permeability40. Brain tumor sizes in our IVM were smaller and BTB permeability was largely unchanged, indicating that our system behaves similarly to the early phase of brain metastasis. Most anti-cancer drugs have limitations in drug delivery, caused by ATP-binding cassette (ABC) efflux transporters, P-glycoprotein (P-gp) and breast cancer resistance protein (BCRP), expressed at the BTB41. We examined the permeability and efflux ratio of epertinib across Caco-2 cell monolayers and found that epertinib is not a substrate of P-gp and BCRP (Supplementary Table S1). However, lapatinib, neratinib, and afatinib TKIs are P-gp and BCRP substrates42–44, as is tucatinib (ONT-380), a HER2-selective inhibitor of small molecules45.
The protein binding of epertinib in mouse, rat, dog, and human plasma have been studied. The binding ratios of epertinib at concentrations of 0.1, 1, and 10 µg/mL were ≥99.8%, 99.4%, 99.6%, and 99.5% in mouse, rat, dog, and human plasma, respectively, indicating that no difference in the binding of epertinib to plasma in the species analyzed. Lapatinib has a high binding affinity (>99.9%) to albumin and α-1 acid glycoprotein46. The epertinib concentration in brain metastases of the IVM with breast cancer is significantly higher than that of lapatnib. P-gp and BCRP, expressed at BTB, negatively impact the migration of TKIs to sites of brain metastasis. Epertinib has a high migration rate to brain metastases in the IVM, even though the free fraction in mouse plasma is low.
Co-localization of epertinib and heme B, suggests that tumor concentration of epertinib relates to blood volume around tumors and tumor HER2 expression levels. IMS enables us to analyze the tissue localization of drugs and endogenous molecules, and is useful in PK/PD and mechanistic efficacy and toxicity analyses of drugs38,47. Epertinib was reported to bind to an inactive conformation of enzyme and showed a slower off-rate of dissociation from EGFR and HER2 than lapatinib13. Comparison of the effects of EGFR and HER2 phosphorylation between 6 and 24 h after a single administration of epertinib revealed that the inhibitory activity of epertinib persisted at 24 h, while that of lapatinib had largely disappeared13. The sustained kinase inhibitory activity of epertinib may contribute to the superior antitumor activity observed in vivo.
Lapatinib has response rates in the brain range from 2.6 to 6% in heavily pre-treated patients48,49. However, when added to capecitabine, response rates increase to 20 to 33%48,49. Comparison of single agent lapatinib and epertinib concentrations in brain metastases of mice revealed that epertinib was detected at significantly higher concentrations than lapatinib. Additionally, epertinib, administered as a single agent showed antitumor activity against brain metastases in the presence of an intact BTB. Single agent epertinib showed sufficient antitumor efficacy against brain metastases, and it is assumed that combination with other chemotherapy, or HER2 targeting agents would increase potency. Recently, our colleague has reported a phase I/II combination study data for epertinib18. The objective response rate (ORR) when epertinib was administered in heavily pretreated HER2-positive metastatic breast cancer patients in combination with trastuzumab or in combination with trastuzumab and capecitabine was 67% and 56%, respectively. Compared to historical data for combination studies with trastzumab and lapatinib (ORR: 10.3%) or tucatinib (ONT-380) (ORR: 26%), epertinib showed better ORR45,50. Quantitative IMS showed that epertinib was transported into brain metastases in HER2-positive breast cancer. Epertinib would be the best TKI for use in patients with early stage HER2-positive breast cancer with brain metastasis. Furthermore, administration of epertinib with an antibody unable to penetrate into the central nervous system, increases the efficacy of epertinib in patients. It is hoped that, in future studies, epertinib efficacy will be demonstrated for many patients with HER2-positive breast cancer who are suffering with brain metastasis.
Methods
Chemicals and reagents
Epertinib hydrochloride, deuterated epertinib (epertinib-d 9), and lapatinib ditosylate monohydrate were synthesized at Shionogi & Co., Ltd. (Osaka, Japan). Lapatinib- d 7 dihydrochloride was purchased from Toronto Research Chemicals Inc. (Toronto, ON, Canada). High-performance LC-grade methanol, acetonitrile, and isopropanol were purchased from Kanto Chemicals Co., Inc. (Tokyo, Japan). 2,5-Dihydroxybenzoic acid (DHB) was obtained from Sigma-Aldrich (St. Louis, MO, USA). Trifluoroacetic acid (TFA) was obtained from Wako Pure Chemical Industries, Ltd. (Osaka, Japan). Ammonium hydrogen carbonate was purchased from Nacalai Tesque Inc. (Kyoto, Japan). Water was purified with a Milli-Q gradient-A10 purification system (Millipore, Bedford, MA, USA). Texas-Red® dextran (molecular weight: 3 kDa) was purchased from Molecular Probes, Inc. (Eugene, OR, USA). Beetle luciferin, potassium salt was obtained from Promega Corporation (Madison, WI, USA). HercepTestTM was purchased from Agilent Technologies (Santa Clara, CA, USA).
Cells
The cell lines employed in this study were: NCI-H1975-luc (luciferase expressing lung cancer), MDA-MB-361 (breast cancer), MDA-MB-361-luc-BR2: BR2, and MDA-MB-361-luc-BR3: BR3 (luciferase expressing breast cancer with brain metastases). NCI-H1975 and MDA-MB-361 were purchased from American Type Culture Collection. Cell lines were propagated after resuscitation and cryopreserved within one month. NCI-H1975-luc, BR2, and BR3 were established by transfection of firefly luciferase expression vector into each cell type and subsequent cloning. For each study, cells were resuscitated and passaged for less than five months before use. The authenticity of luciferase expressing breast cancer cell lines was confirmed using short tandem repeat profiling (National Institute of Biomedical Innovation). NCI-H1975-luc was maintained in Dulbecco’s Modified Eagle’s Medium (DMEM) supplemented with 10% fetal bovine serum (FBS), 100 units/mL penicillin, 100 units/mL streptomycin, and 500 µg/mL G418. MDA-MB-361, BR2, and BR3 were maintained in DMEM with 20% FBS, 100 U/mL penicillin, 100 U/mL streptomycin, and 500 µg/mL G418.
Animal experiments
All experimental protocols were approved by the Institutional Animal Care and Use Committee of Shionogi & Co., Ltd (Osaka, Japan) and performed in accordance with the Guidelines for Animal Experiments of Shionogi & Co., Ltd, which meet the ethical standards required by the law and the guidelines about the experimental animals in Japan. Nude mice (BALB/cAJcl-nu/nu, CLEA Japan) were used for in vivo studies. All mice were female and six to nine weeks old at the time of implantation. In pharmacokinetic studies, plasma and brain concentrations of epertinib or lapatinib were measured after a single oral administration of epertinib hydrochloride or lapatinib ditosylate monohydrate at a dose of 20 mg/kg (as epertinib or lapatinib) in nude mice implanted intracranially with MDA-MB-361 cells. In the MALDI-IMS study, epertinib hydrochloride (50 mg/kg or 100 mg/kg as epertinib) or lapatinib ditosylate monohydrate (50 mg/kg or 100 mg/kg as lapatinib) suspended in 0.5% methylcellulose was orally administrated to all mouse models. Mice were euthanized by isoflurane anesthesia and exsanguinated via the inferior vena cava 4 or 8 h after oral administration. Plasma was separated by centrifugation at 3,000 rpm for 15 min at 4 °C and stored at −80 °C until analysis. After blood sampling, brain tissues were immediately excised, frozen on dry ice, and stored at −80 °C prior to sectioning.
Intraventricular and Intracranial implant mice models
In the experimental brain metastasis of breast cancer or lung cancer (IVM), a cell suspension containing 2.0 × 106 cells (BR2), 1.7 × 106 cells (BR3), or 4.0 × 105 cells (NCI-H1975-luc) was implanted into the left ventricle of anaesthetized mice (Supplementary Fig. S1). In the intracranial implantation mice model, the cell suspension containing 3.1 × 105 cells was implanted into the craniotomy region (2 mm to the left of the bregma and 1 mm anterior to the coronal suture). For measurement of bioluminescence, 0.2 mL of 10 mg/mL luciferin solution was injected intravenously into anesthetized mice via the tail vein and the photons emitted from tumor measured by IVIS Imaging System 200 (Caliper Life Sciences).
Sample preparation for MALDI-IMS
Frozen brain tissues were cut into 10-µm sections using a cryostat (Leica CM3050 S; Leica Microsystems Inc., Wetzlar, Germany) at −20 °C. Sections were thaw-mounted onto glass microscope slides (Superfrost; Thermo Fisher Scientific Inc.) and stored at −80 °C until use. Epertinib hydrochloride, epertinib-d 9 hydrochloride, and lapatinib ditosylate monohydrate were weighed and dissolved in methanol to prepare stock solutions (1 mmol/L). A stock solution of 0.1 mmol/L lapatinib- d 7 dihydrochloride in methanol was prepared. For epertinib IMS analysis, a stock solution was diluted stepwise with 50% methanol to prepare standard solutions for calibration at concentrations from 15 to 15,000 nmol/L. A stock solution of lapatinib was serially diluted with supernatant in which blank rat plasma was mixed with an equal volume of methanol and centrifuged at 14,000 rpm for 3 min at 4 °C to prepare standard solutions at concentrations from 5 to 5,000 nmol/L. Sections were vacuum desiccated for 15 min at room temperature, and optical images were acquired by a scanner (Scanjet G4050; Hewlett-Packard Co., Palo Alto, CA, USA). Standard solutions were spotted onto the glass microscope slides at 1 µL. Epertinib-d 9 (1 mmol/L) or lapatinib- d 7 (0.1 mmol/L) were used as internal standards for epertinib or lapatinib, respectively. The matrix solution (30 mg/mL DHB dissolved in 1:1, v/v methanol-water containing 0.2% TFA) with the solution of epertinib-d 9 (final concentration: 1 µmol/L) or lapatinib- d 7 (final concentration: 0.1 µmol/L) was spray-coated all-over the glass slides using an ImagePrepTM automated device with vibrational vaporization technology (Bruker Daltonics Inc., Billerica, MA, USA).
MALDI-IMS analysis
Matrix-coated sections were analyzed using a linear ion trap mass spectrometer with a MALDI source (MALDI LTQ XL, Thermo Fisher Scientific Inc.) and a nitrogen laser (337 nm; 60 Hz). Laser energy and raster step size were set at 30 µJ and 100 µm, respectively. All compounds were detected in positive-ion mode using the product ion scans of their [M + H]+ ions. The collision energy was 60% and 70% of the maximum available energy required for the complete fragmentation of the precursor ion derived from Met-Arg-Phe-Ala peptide for epertinib/epertinib-d 9 and lapatinib/lapatinib-d 7, respectively29. The signal intensities of epertinib (m/z 560 → 461), epertinib-d 9 (m/z 569 → 466), lapatinib (m/z 581 → 365), and lapatinib-d 7 (m/z 588 → 365) within each region of interest were averaged. Heme B was detected by MS3 (m/z 616 → 557 → 498) as a blood biomarker30.
LC/MS/MS analysis
To measure the concentration of epertinib or lapatinib in plasma samples, 500 µL of acetonitrile was added to 10 µL of the samples. The mixture was stirred for 10 min and centrifuged at 5,000 rpm for 5 min at 10 °C, and 1 µL of the supernatant was injected into the LC-MS/MS system. An ultra-HPLC system (Nexera LC-20A, Shimadzu Corp., Kyoto, Japan) with a triple quadrupole mass spectrometer (API 5000TM, AB Sciex, Forester City, CA, USA) was used for LC/MS/MS analysis. The LC-MS/MS system was controlled by Analyst 1.4.2 (AB Sciex) software. Chromatographic separation was performed using a Cadenza CD-C18 HT column (50 × 2.0 mm i.d., 3 µm; Imtakt Corp., Kyoto, Japan). The mobile phase, consisting of (A) 10 mmol/L ammonium hydrogen carbonate for epertinib analysis or 10 mmol/L ammonium formate for lapatinib analysis and (B) acetonitrile, was pumped at a flow rate of 0.75 mL/min. Epertinib or lapatinib were eluted with a (B) 30-95% or 50-95% linear gradient, respectively. Selective reaction monitoring (SRM) transitions were m/z 561 → 338 at the collision energy of 40 eV and m/z 581 → 365 at the collision energy of 50 eV of epertinib and lapatinib, respectively. Using Analyst software, the concentration of epertinib or lapatinib was calculated from a calibration curve generated by analyzing a series of plasma samples from blank rats containing known quantities of epertinib or lapatinib.
BTB permeability
For fluorescence analysis of BTB permeability in IVM, 0.2 mL of 10 mg/mL Texas- Red® dextran solution was injected intravenously into each anesthetized mouse via the tail vein 5 min before euthanasia (Supplementary Fig. S1). Brain sections adjacent to those used for histological analyses were examined for fluorescence to capture images of Texas-Red® fluorescence intensity (BZ-X700, Keyence). After image capture, using a fluorescence microscope, sections were fixed with 4% paraformaldehyde for 10 min and permeabilized with 0.3% Triton-X 100 for 10 min. To identify the position of the tumor in the brain section, sections were stained with 4′,6-diamidino-2-phenylindole, dihydrochloride (DAPI, ProLong® Gold Antifade Mountant with DAPI, ThermoFisher Scientifc). Analysis of BTB permeability was performed by measuring Texas-Red® fluorescence intensity within each region of brain metastases and for areas of normal brain and choroid plexus.
Histological analysis
The sections adjacent to those used for MALDI-IMS studies were fixed in 10% neutral buffered formalin for 10 min and stained with hematoxylin and eosin (H&E) or giemsa. Stained sections were examined microscopically to identify the localization and distribution of tumors in the brain sections. HER2 immunohistochemistry (IHC) was performed as described in the HercepTestTM instructions.
Data analysis
Spectral data were acquired using Xcalibur 2.0.7 software (Thermo Fisher Scientific Inc.) and the localization and concentration of all compounds in the brain sections were analyzed using Quantinetix 1.7.10 software (ImaBiotech, Loos, France). The fluorescence intensity of Texas-Red® dextran and immunostaining intensity of HER2 were analyzed using a BZ-X analyzer (Keyence). Statistical analyses were performed using SAS software (version 9.4).
Electronic supplementary material
Acknowledgements
The authors would like to appreciate Mitsunobu Matsumoto and Dr. Wataru Nogami (Oncology and Immunology, Drug Discovery and Disease Research Laboratories, Shionogi & Co., Ltd.) for establishing of the IVM with lung cancer. We also thank Dr. Akinori Arimura, Hiroaki Miyano, and Tsukasa Onodera (Global Development, Shionogi & Co., Ltd.) for their helpful discussions and supports.
Author Contributions
Y.T. and M.H. contributed to the conception and overall experimental design and wrote the manuscript. Y.T. designed the animal experiments and performed imaging mass spectrometry. M.H. and S.S. developed the intraventricular injection mouse model and performed the animal experiments and BTB permeability. M.T performed the staining. K.N. and H.T. contributed on editing of the manuscript.
Competing Interests
The authors declare that they have no competing interests.
Footnotes
Electronic supplementary material
Supplementary information accompanies this paper at 10.1038/s41598-017-18702-2.
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Simpson PT, Reis-Filho JS, Gale T, Lakhani SR. Molecular evolution of breast cancer. J. Pathol. 2005;205:248–254. doi: 10.1002/path.1691. [DOI] [PubMed] [Google Scholar]
- 2.Inwald EC, et al. Ki-67 is a prognostic parameter in breast cancer patients: results of a large population-based cohort of a cancer registry. Breast Cancer Res. Treat. 2013;139:539–552. doi: 10.1007/s10549-013-2560-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Slamon DJ, et al. Human breast cancer: correlation of relapse and survival with amplification of the HER-2/neu oncogene. Science. 1987;235:177–182. doi: 10.1126/science.3798106. [DOI] [PubMed] [Google Scholar]
- 4.Borg A, et al. HER-2/neu amplification predicts poor survival in node-positive breast cancer. Cancer Res. 1990;50:4332–4337. [PubMed] [Google Scholar]
- 5.Lin NU, Winer EP. Brain Metastases: The HER2 Paradigm. Clin. Cancer Res. 2007;13:1648–1655. doi: 10.1158/1078-0432.CCR-06-2478. [DOI] [PubMed] [Google Scholar]
- 6.Pestalozzi BC, et al. Identifying breast cancer patients at risk for central nervous system (CNS) metastases in trials of the international breast cancer study group (IBCSG) Ann. Oncol. 2006;17:935–944. doi: 10.1093/annonc/mdl064. [DOI] [PubMed] [Google Scholar]
- 7.Shmueli E, Wigler N, Inbar M. Central nervous system progression among patients with metastatic breast cancer responding to trastuzumab treatment. Eur. J. Cancer. 2004;40:379–382. doi: 10.1016/j.ejca.2003.09.018. [DOI] [PubMed] [Google Scholar]
- 8.Lin NU, et al. Sites of distant recurrence and clinical outcomes in patients with metastatic triple-negative breast cancer: high incidence of central nervous system metastases. Cancer. 2008;113:2638–2645. doi: 10.1002/cncr.23930. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Gil-Gil MJ, et al. Breast cancer brain metastases: a review of the literature and a current multidisciplinary management guideline. Clin. Transl. Oncol. 2014;16:436–446. doi: 10.1007/s12094-013-1110-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Seoane J, De Mattos-Arruda L. Brain metastasis: new opportunities to tackle therapeutic resistance. Mol. Oncol. 2014;8:1120–1131. doi: 10.1016/j.molonc.2014.05.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Mukherjee A, Dhadda AS, Shehata M, Chan S. Lapatinib: a tyrosine kinase inhibitor with a clinical role in breast cancer. Expert Opin. Pharmacother. 2007;8:2189–204. doi: 10.1517/14656566.8.13.2189. [DOI] [PubMed] [Google Scholar]
- 12.Burris HA, 3rd, et al. Phase I safety, pharmacokinetics, and clinical activity study of lapatinib (GW572016), a reversible dual inhibitor of epidermal growth factor receptor tyrosine kinases, in heavily pretreated patients with metastatic carcinomas. J. Clin. Oncol. 2005;23:5305–5313. doi: 10.1200/JCO.2005.16.584. [DOI] [PubMed] [Google Scholar]
- 13.Tanaka H, et al. Preclinical antitumor activity of S-222611, an oral reversible tyrosine kinase inhibitor of epidermal growth factor receptor and human epidermal growth factor receptor 2. Cancer Sci. 2014;105:1040–1048. doi: 10.1111/cas.12449. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Baird RD, et al. A phase I study of S-222611, an oral reversible dual inhibitor of EGFR and HER2, in patients with solid tumors. J. Clin. Oncol. 2012;30:3100. doi: 10.1200/JCO.2011.40.3907. [DOI] [PubMed] [Google Scholar]
- 15.Baird R. D. et al. A phase I study of S-222611, an oral reversible dual inhibitor of EGFR and HER2, in patients with solid tumors. Cancer Res. 73 suppl. P4-12-24 (2013). [DOI] [PubMed]
- 16.Deva S, et al. Phase I expansion of S-222611, a reversible inhibitor of EGFR and HER2, in advanced solid tumors, including patients with brain metastases. J. Clin. Oncol. 2015;33:2511. [Google Scholar]
- 17.Spicer J, et al. Phase 1 dose-escalation study of S-222611, an oral reversible dual tyrosine kinase inhibitor of EGFR and HER2, in patients with solid tumours. Eur. J. Cancer. 2015;51:137–145. doi: 10.1016/j.ejca.2014.11.003. [DOI] [PubMed] [Google Scholar]
- 18.Rafii S. et al. A phase I/II study of S-222611, a reversible EGFR and HER2 inhibitor, combined with trastuzumab +/− chemotherapy in patients with HER2-positive metastatic breast cancer. SABCS-2016 abstr. P4-21-08 (2016).
- 19.Szafarz M, Kryczyk A, Lazewska D, Kiec-Kononowicz K, Wyska E. Pharmacokinetics and tissue distribution of the new non-imidazole histamine H3 receptor antagonist 1-[3-(4-tert-butylphenoxy) propyl] piperidine in rats. Xenobiotica. 2015;45:912–920. doi: 10.3109/00498254.2015.1025117. [DOI] [PubMed] [Google Scholar]
- 20.Wang Q, et al. Pharmacokinetics and brain uptake of HIV-1 replication inhibitor DB213 in Sprague-Dawley rats. J. Pharm. Biomed. Anal. 2016;125:41–47. doi: 10.1016/j.jpba.2016.03.025. [DOI] [PubMed] [Google Scholar]
- 21.Castellino S, Groseclose MR, Wagner D. MALDI imaging mass spectrometry: bridging biology and chemistry in drug development. Bioanalysis. 2011;3:2427–2441. doi: 10.4155/bio.11.232. [DOI] [PubMed] [Google Scholar]
- 22.Norris JL, Caprioli RM. Analysis of tissue specimens by matrix-assisted laser desorption/ionization imaging mass spectrometry in biological and clinical research. Chem. Rev. 2013;113:2309–2342. doi: 10.1021/cr3004295. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Ye H, et al. Top-down proteomics with mass spectrometry imaging: a pilot study towards discovery of biomarkers for neurodevelopmental disorders. PLoS One. 2014;9:e92831. doi: 10.1371/journal.pone.0092831. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Takai N, Tanaka Y, Inazawa K, Saji H. Quantitative analysis of pharmaceutical drug distribution in multiple organs by imaging mass spectrometry. Rapid Commun. Mass Spectrom. 2012;26:1549–1556. doi: 10.1002/rcm.6256. [DOI] [PubMed] [Google Scholar]
- 25.Takai N, Tanaka Y, Watanabe A, Saji H. Quantitative imaging of a therapeutic peptide in biological tissue sections by MALDI MS. Bioanalysis. 2013;5:603–612. doi: 10.4155/bio.13.13. [DOI] [PubMed] [Google Scholar]
- 26.Rzagalinski I, Volmer DA. Quantification of low molecular weight compounds by MALDI imaging mass spectrometry – A tutorial review. Biochim. Biophys. Acta. 2016;1865:726–739. doi: 10.1016/j.bbapap.2016.12.011. [DOI] [PubMed] [Google Scholar]
- 27.Torok S, et al. Localization of sunitinib, its metabolites and its target receptors in tumour-bearing mice: a MALDI-MS imaging study. Br. J. Pharmacol. 2015;172:1148–1163. doi: 10.1111/bph.12990. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Buck A, et al. Distribution and quantification of irinotecan and its active metabolite SN-38 in colon cancer murine model systems using MALDI MSI. Anal. Bioanal. Chem. 2015;407:2107–2116. doi: 10.1007/s00216-014-8237-2. [DOI] [PubMed] [Google Scholar]
- 29.Lopez LL, Tiller PR, Senko MW, Schwartz JC. Automated strategies for obtaining standardized collisionally induced dissociation spectra on a benchtop ion trap mass spectrometer. Rapid Commun Mass Spectrom. 1999;13:663–668. doi: 10.1002/(SICI)1097-0231(19990430)13:8<663::AID-RCM538>3.0.CO;2-H. [DOI] [Google Scholar]
- 30.Shimma S, Setou M. Mass microscopy to reveal distinct localization of heme B (m/z 616) in colon cancer liver metastasis. J. Mass Spectrom. Soc. Jpn. 2007;55:145–148. doi: 10.5702/massspec.55.145. [DOI] [Google Scholar]
- 31.Källback P, Shariatgorji M, Nilsson A, Andrén PE. Novel mass spectrometry imaging software assisting labeled normalization and quantitation of drugs and neuropeptides directly in tissue sections. J. Proteomics. 2012;75:4941–4951. doi: 10.1016/j.jprot.2012.07.034. [DOI] [PubMed] [Google Scholar]
- 32.Takai N, Tanaka Y, Saji H. Quantication of small molecule drugs in biological tissue sections by imaging mass spectrometry using surrogate tissue-based calibration standards. Mass Spectrom. 2014;3:A0025. doi: 10.5702/massspectrometry.A0025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Römpp A, Guenther S, Takats Z, Spengler B. Mass spectrometry imaging with high resolution in mass and space (HR2 MSI) for reliable investigation of drug compound distributions on the cellular level. Anal. Bioanal. Chem. 2011;401:65–73. doi: 10.1007/s00216-011-4990-7. [DOI] [PubMed] [Google Scholar]
- 34.Swales JG, et al. Mass spectrometry imaging of cassette-dosed drugs for higher throughput pharmacokinetic and biodistribution analysis. Anal. Chem. 2014;86:8473–8480. doi: 10.1021/ac502217r. [DOI] [PubMed] [Google Scholar]
- 35.Castellino S, et al. Central nervous system disposition and metabolism of fosdevirine (GSK2248761), a non-nucleoside reverse transcriptase inhibitor: an LC-MS and matrix-assisted laser desorption/ionization imaging MS investigation into central nervous system toxicity. Chem. Res. Toxicol. 2013;26:241–251. doi: 10.1021/tx3004196. [DOI] [PubMed] [Google Scholar]
- 36.Castellino S, et al. Human metabolism of lapatinib, a dual kinase inhibitor: implications for hepatotoxicity. Drug Metab. Dispos. 2012;40:139–150. doi: 10.1124/dmd.111.040949. [DOI] [PubMed] [Google Scholar]
- 37.Sun N, et al. Pharmacokinetic and pharmacometabolomic study of pirfenidone in normal mouse tissues using high mass resolution MALDI-FTICR-mass spectrometry imaging. Histochem. Cell Biol. 2016;145:201–211. doi: 10.1007/s00418-015-1382-7. [DOI] [PubMed] [Google Scholar]
- 38.Groseclose MR, Laffan SB, Frazier KS, Hughes-Earle A, Castellino S. Imaging MS in toxicology: an investigation of juvenile rat nephrotoxicity associated with dabrafenib administration. J. Am. Soc. Mass Spectrom. 2015;26:887–898. doi: 10.1007/s13361-015-1103-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Cailleau R, Olivé M, Cruciger QV. Long-term human breast carcinoma cell lines of metastatic origin: Preliminary characterization. In Vitro. 1978;14:911–915. doi: 10.1007/BF02616120. [DOI] [PubMed] [Google Scholar]
- 40.Taskar KS, et al. Lapatinib distribution in HER2 overexpressing experimental brain metastases of breast cancer. Pharm. Res. 2012;29:770–781. doi: 10.1007/s11095-011-0601-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Agarwal S, Hartz AMS, Elmquist WF, Bauer B. Breast Cancer Resistance Protein and p-glycoprotein in brain cancer: two gatekeepers team up. Curr. Pharm. Des. 2011;17:2793–2802. doi: 10.2174/138161211797440186. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Polli JW, et al. 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. Drug Metab. Dispos. 2009;37:439–442. doi: 10.1124/dmd.108.024646. [DOI] [PubMed] [Google Scholar]
- 43.Zhao X, et al. Neratinib reverses ATP-binding cassette B1-mediated chemotherapeutic drug resistance in vitro, in vivo, and ex vivo. Mol. Pharmacol. 2012;82:47–58. doi: 10.1124/mol.111.076299. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Wang S, et al. Afatinib reverses multidrug resistance in ovarian cancer via dually inhibiting ATP binding cassette subfamily B member 1. Oncotarget. 2015;6:26142–26160. doi: 10.18632/oncotarget.4536. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Ferrario C. et al. ONT-380 in the treatment of HER2 + breast cancer central nervous system (CNS) metastases (mets). J. Clin. Oncol. 33 suppl.; abstr. 612 (2015).
- 46.Zhang J, et al. Are capecitabine and the active metabolite 5-FU CNS penetrable to treat breast cancer brain metastasis? Drug Metab. Dispos. 2015;43:411–417. doi: 10.1124/dmd.114.061820. [DOI] [PubMed] [Google Scholar]
- 47.Römpp A, Karst U. Current trends in mass spectrometry imaging. Anal. Bioanal. Chem. 2015;407:2023–2025. doi: 10.1007/s00216-015-8479-7. [DOI] [PubMed] [Google Scholar]
- 48.Lin NU, et al. Multicenter phase II study of lapatinib in patients with brain metastases from HER2-positive breast cancer. Clin. Cancer Res. 2009;15:1452–1459. doi: 10.1158/1078-0432.CCR-08-1080. [DOI] [PubMed] [Google Scholar]
- 49.Ro J, et al. Clinical outcomes of HER2-positive metastatic breast cancer patients with brain metastasis treated with lapatinib and capecitabine: an open-label expanded access study in Korea. BMC Cancer. 2012;12:322. doi: 10.1186/1471-2407-12-322. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Blackwell KL, et al. Overall survival benefit with lapatinib in combination with trastuzumab for patients with human epidermal growth factor receptor 2-positive metastatic breast cancer: final results from the EGF104900 study. J. Clin. Oncol. 2012;30:2585–2592. doi: 10.1200/JCO.2011.35.6725. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.