Original Research ARTICLE
Tolerance, Variability and Pharmacokinetics of Albumin-Bound Paclitaxel in Chinese Breast Cancer Patients
- 1The First Hospital of Jilin University, Changchun, China
- 2Phase I Clinical Research Center, The First Hospital of Jilin University, Changchun, China
Objective: The aim of this study was to explore the tolerance, variability, and pharmacokinetics (PK) of albumin-bound paclitaxel (QL, HR, ZDTQ) among Chinese breast cancer patients.
Methods: Three randomized, open-label, two-period crossover bioequivalence studies were conducted with albumin-bound paclitaxel. Each subject received a single dose of 260 mg/m2 albumin-bound paclitaxel [sponsor 1 (QL, light food), sponsor 2 (HR, fasting), sponsor 3 (ZDTQ, light food); test] or Abraxane® (reference) and was monitored for 72 h. Serum concentrations of total paclitaxel and unbound paclitaxel were measured using liquid chromatography/mass spectrometry (LC/MS), and appropriate pharmacokinetic parameters were determined by non-compartmental methods. Safety assessments included adverse events, hematology and biochemistry tests.
Results: The bioequivalence analyses of the QL, HR, and ZDTQ products included 24, 23, and 24 patients, respectively. The mean t1/2 was 20.61–27.31 h for total paclitaxel. Food intake did not affect the pharmacokinetics of paclitaxel. From the comparison of total paclitaxel and unbound paclitaxel, the 90% confidence intervals (CIs) for the ratios of Cmax, AUC0−t, and AUC0−∞ were within 80.00–125.00%. The intra-subject variability ranged from 6.4–11% to 9.85–15.87% for total paclitaxel and unbound paclitaxel, respectively. Almost all subjects in the test and Abraxane® (reference) groups experienced mild or moderate adverse events. No fatal AEs or study drug injection site reactions related to these drugs were observed.
Conclusion: Albumin-bound paclitaxel (QL, HR or ZDTQ; test products) showed bioequivalence to Abraxane® (reference) with lower intra-subject variability, which was less than 16% in all cases, and was well-tolerated in Chinese breast cancer patients. Twenty-two patients are enough for an albumin-bound paclitaxel bioequivalence study.
World over, breast cancer is the most common type of malignancy among women and the second most frequent cause of cancer-related death in women1 (Dörfel et al., 2018; Locatelli et al., 2018). The standard therapy for patients with early breast cancer includes surgery, radiotherapy and adjuvant systemic therapy, such as anti-microtubule agents and aromatase inhibitors (Dörfel et al., 2018). However, as breast cancer is a highly heterogeneous condition, the selection of adjuvant systemic therapy depends on stage, histology and on molecular subtypes of the tumor (Dörfel et al., 2018; Locatelli et al., 2018). Current adjuvant systemic therapy options include chemotherapy, endocrine therapy for hormone receptor (HR)-positive tumors, and targeted biological agents such as trastuzumab for human epidermal growth factor receptor (HER2)-positive tumors (Dörfel et al., 2018).
Paclitaxel is an anti-microtubule agent that inhibits cell division by promoting the assembly and stabilization of microtubules (Slingerland et al., 2013). It is active against a broad spectrum of malignancies, such as non-small cell lung cancer and breast cancer (Slingerland et al., 2013; Blair and Deeks, 2015). As paclitaxel is extremely insoluble; it is solubilized in polyethoxylated castor oil for injectable preparation. However, serious and even fatal episodes of hypersensitivity with an incidence of approximately 20% have been reported with this oil (Donehower et al., 1987; Singla et al., 2002; Joerger, 2012). The introduction of premedication with corticosteroids, diphenhydramine, and H2 antagonists, has fortunately reduced this incidence to 2–4% (Alves et al., 2018). Still, such infusion-related hypersensitivity reactions remain a serious matter. Moreover, solubilization in polyethoxylated castor oil enhances the nonlinear pharmacokinetic (PK) activity of increasing doses of paclitaxel (Sparreboom et al., 1999; Joerger, 2012; Slingerland et al., 2013). Along with, the unbound paclitaxel is also associated with clinical toxicities, such as myelosuppression and peripheral neuropathy (Blair and Deeks, 2015).
Different modifications of drug formulations, e.g., liposomal and albumin-bound, have been studied for their ability to improve delivery of therapeutic doses, drug stability, and drug safety (Du et al., 2018). Albumin-bound paclitaxel contains protein-bound particles of paclitaxel for injectable suspension, which, by avoiding the use of polyethoxylated castor oil also eliminates the need for corticosteroid pretreatment2. Additionally, an improved safety profile with albumin-bound paclitaxel may facilitate the administration of higher doses2 (Du et al., 2018).
With the end of the patent protection period for an innovator's product, generic preparations are introduced into the market repeatedly. Thus, it has become necessary to establish the bioequivalence (BE) between two drug products with the same active moiety. Usually, determination of BE relies on comparisons of the rate and extent of absorption of a product under study (test, T) with those of an innovator's product (reference, R) (Karalis et al., 2012).
The study drugs are paclitaxel albumin protein-bound particles available as an injectable suspension (FDA, 2015). However, the production process is different, such as albumin packaging of paclitaxel process by different sponsors. The US FDA Draft Guidance on paclitaxel recommends estimation of serum unbound and total paclitaxel for BE evaluation (FDA, 2015).
As the intra-subject variability for paclitaxel among the Chinese population is unknown, we first analyzed the PK characteristics of unbound paclitaxel and total paclitaxel in Chinese breast cancer patients. Second, the present study compared the BE (rate and extent of absorption and elimination) of two 260 mg/m2 albumin-bound paclitaxel (test and reference) formulations as provided by the two study sponsors. Third, we analyzed the effects of sample size and intra-subject variability on the BE of unbound and total paclitaxel. Lastly, the tolerability profiles of different formulations of albumin-bound paclitaxel were assessed.
Materials and Methods
Patients and Study Design
Three prospective BE studies with albumin-bound paclitaxel (injectable suspension) were conducted, with drugs provided by three different sponsors, i.e., QL (n = 25), HR (n = 25), or ZDTQ (n = 24), and the reference product, Abraxane®. These single-center, randomized two-period crossover, BE studies, were performed between March 2016 and March 2018, according to the US FDA guidance draft on Paclitaxel. The tolerability and PK of the test products (albumin-bound Paclitaxel, QL, HR, and ZDTQ) and Abraxane® (reference) were compared in patients with breast cancer in these three studies respectively. The inclusion criteria were: (1) age > 18 years; (2) histologic diagnosis of advanced breast cancer for which there is no curative therapy and treatment with single-agent paclitaxel has been considered appropriate by the treating physician; (3) Eastern Cooperative Oncology Group (ECOG) performance status of 0/1; (4) life expectancy of >12 weeks; and (5) complete recovery from acute toxicities of prior treatment. Subjects were excluded if they did not have adequate hematologic, kidney, and liver function (hemoglobin ≥ 90g/L [not having blood transfusion within 14 days], absolute neutrophil count ≥1.5 × 109/L, blood platelet count ≥100 × 109/L, total bilirubin < 1 upper limit normal [ULN], alanine aminotransferase [ALT], and aspartate aminotransferase [AST] < 2.5 × ULN [if liver metastasis, then ALT and AST ≤ 5 × ULN], creatinine ≤ 1.5 × ULN), or had received radiotherapy, chemotherapy, immunotherapy, or endocrine therapy within 4 weeks prior to the use of the study drug and residual effects were still present.
This study was carried out in accordance with the recommendations of the Good Clinical Practice and the Declaration of Helsinki. The protocol was approved by the Ethics Committee of the First Hospital of Jilin University, Changchun, Jilin, China. All subjects gave written informed consent in accordance with the Declaration of Helsinki.
A screening visit was scheduled within 14 days prior to administration of the study drug. Then the eligible subjects were admitted to the clinical research unit 1 day before dosing. Following an overnight fast of at least 8-h, subjects were randomized to receive a single intravenous dose of 260 mg/m2 (infusion 30 ± 3 min) of albumin-bound paclitaxel (test product; QL, HR, or ZDTQ) or Abraxane® (reference product, from the US market) in a 1:1 ratio according to a computer-generated randomization schedule for each study in the first period (Figures 1, 2). Then the same dosing method for the reference or test formulation was followed in second period, or vice versa. Each drug had a unique batch number. The washout period was of 3 weeks. Subjects were administered the drug at the same time on first day of first period and day 22 of second period (Figure 1). Albumin-bound paclitaxel by sponsor 1 (QL) and sponsor 3 (ZDTQ) was administered after breakfast (light food), whereas the HR product (sponsor 2) was administered after 8 h of fasting. Patients were carefully monitored, particularly during the infusion. Subjects were discharged after 72 h of drug administration. Blood samples for the primary PK analysis were collected prior to treatment and at specified time points during the 72-h follow-up. Subjects were followed up for safety assessment at 7 ± 1 and 21 ± 1 days.
Figure 1. Flow chart of the BE studies. Each subject will had test product (QL, HR, or ZDTQ) and reference product (Abraxane®) at each study.
Figure 2. The subject number of the each analysis set. TR, D1 dosing T formulation and D22 dosing R formulation; RT, D1 dosing R formulation and D22 dosing T formulation.
Estimation of Sample Size
According to the current US FDA guidelines, to achieve an 80–90% power (1-β) in BE studies at the 5% nominal level (α = 5%), the geometric mean ratio (GMR) is usually set to be 95–105% (Karalis et al., 2012). The coefficient of variation (CV) is evaluated as the intra-subject variability (intra-cv). The intra-cv for paclitaxel is assumed to be 20–21.3%2. According to the initial estimation by R software, sample size should be of 21 patients. Based on the above sample size estimation result and considering a loss to follow-up of 10% and the opinion of sponsor and investigator, the final needed sample size was considered to be 24 (Table 1) (Zhang et al., 2018a,b).
Blood samples (5 ml each time) for PK evaluation were collected into heparin anticoagulant-containing tubes within 0.2 h of initiation of albumin-bound paclitaxel infusion (pre-dose), 0.25 h after the start of infusion, immediately after stopping the infusion, and 0.75, 1, 1.5, 2, 4, 6, 8, 12, 24, 48, and 72 h after the start of infusion. Blood samples were centrifuged at 3,000 rpm for approximately 10 min at 2–8°C in a refrigerated centrifuge. The serum was stored at −70°C until analysis. The serum concentrations of total paclitaxel and unbound paclitaxel were analyzed using a validated, sensitive and specific liquid chromatography tandem mass spectrometry (LC-MS/MS) method at the Shanghai Drug Metabolism Research Center for QL and HR, and Covance for ZDTQ.
The lower limits of quantification (LLOQ) for un-bound paclitaxel and total paclitaxel were 0.2 ng/mL and 5.0 ng/mL, respectively, and the upper limits of quantification (ULOQ) for unbound paclitaxel and total paclitaxel were 2,000 ng/mL and 15,000 ng/mL, respectively for QL and HR.
The LLOQ for un-bound paclitaxel and total paclitaxel were 2 ng/mL and 10.0 ng/mL, respectively, and the ULOQ for unbound paclitaxel and total paclitaxel were 2,000 ng/mL and 10,000 ng/mL, respectively for ZDTQ. The validated concentration ranges were between the LLOQ and ULOQ.
The LC-MS/MS method and rapid equilibrium method have been validated for the determination of paclitaxel concentration in human raw serum and equilibrium serum samples (Ronghao and Jun, 2015). In each analysis batch, the quantity of quality control samples accounted for more than 5% of the unknown samples in the analysis batch. In all quality control samples, the ratio of relative deviation within 15% is more than at least 67% of all quality control samples, and the ratio of relative deviation within 15% is more than at least 50% of each concentration of quality control samples. All analysis batch quality control met the above criteria (Supplement Table 1).
Total levels of free and protein-bound paclitaxel were later quantified. Paclitaxel-D5 served as the internal standard. The analytical column was a Eclipse Plus C18 column (100 × 4.6 mm, 3.5 μm, Agilent), and the formula used for calculation of unbound paclitaxel was as follows:
The inter-run assay accuracy, expressed as percent relative error for quality control samples [BIAS(%)]. The assay precision, expressed as the inter-run CV of the measured concentrations of quality control samples [relative standard deviation, RSD(%)].
All analysis batch quality control met the above criteria (Supplement table 1).
Tolerability and Safety Assessments
Medical history, physical examination, electrocardiography (ECG), and laboratory test (hematology, biochemistry, and urinalysis, etc.) results were obtained at the time of screening (2–14 days before the first dose of study drug) and at 7 ± 1 and 21 ± 1 days for all subjects in each test period. Vital signs were recorded immediately before the first dose and after administration of the drug. Adverse events were recorded daily from the day of administration of the first dose through the end of the study. The National Cancer Institute Common Toxicity Criteria for Adverse Events version 4.03 was used to describe and grade all toxicities and adverse events (AEs).
The serum concentrations vs. time data were analyzed with non-compartmental methods using WinNonlin Professional, Version 6.4 (Pharsight Corporation, NC, USA). The PK analysis used actual sample collection times. Samples below the LLOQ were set to zero before Tmax and not detectable after Tmax for the PK analysis. The PK parameters for paclitaxel included Cmax, area under the curve (AUC)0−t, AUC0−∞, Tmax, and T1/2. Descriptive statistics were calculated for PK parameters, demographics, and safety variables and these were analyzed by t-test or analysis of variance (ANOVA). ANOVA also was used to compare the AUC and Cmax, with factors fitted for the effect of sequence, subject within sequence, period, and treatment. The comparisons are presented in terms of the geometric least square means and the 90% confidence interval (CI). BE was established if the 90% CI of the treatment ratio was within the equivalence range of 0.8–1.25. Tmax and T1/2 were analyzed with a Wilcoxon rank test. All statistical tests were performed using SAS 9.1 Statistical Package, and P < 0.05 was considered statistically significant.
Subject Screening, Recruitment, and Compliance
A total of 120 Patients with breast cancer were initially screened for these studies. Of these, 74 patients with breast cancer (n = 25, 25, 24) were enrolled and received the assigned study drug from sponsor 1-3 (HR, QL, ZDTQ) respectively; these patients also constituted the safety analysis set for each sponsor and 71 patients constituted the BE analysis set (Figure 2). The demographics and baseline characteristics of patients treated by the three sponsors were comparable (Table 2). Most of the study subjects were Han Chinese. The mean age of the study subjects was 48.8–52 years old.
Albumin-Bound Paclitaxel Serum Concentration–Time Profiles
The total paclitaxel and unbound paclitaxel serum concentrations increased rapidly in all study subjects and reached Cmax at 0.5 h after the start of infusion. The serum concentrations showed a decline in a biphasic manner, which initially decreased rapidly after the end of infusion and then demonstrated a slight decrease until the lower limit of quantification. The study drugs exhibited a similar mean serum concentration–time profile in the R and T formulations in studies 1, 2, and 3 (Figures 3, 4).
Figure 3. Mean serum concentration–time profiles in the study. (A) Sponsor 1 (QL) total paclitaxel; (B) Sponsor 1 (QL) unbound paclitaxel; (C) Sponsor 1 (HR) total paclitaxel; (D) Sponsor 1 (HR) unbound paclitaxel; (E) Sponsor 3 (ZDTQ) total paclitaxel; (F) Sponsor 3 (ZDTQ) unbound paclitaxel.
Figure 4. LOG10 Mean serum concentration–time profiles in the study. (A) Sponsor 1 (QL) total paclitaxel; (B) Sponsor 1 (QL) unbound paclitaxel; (C) Sponsor 1 (HR) total paclitaxel; (D) Sponsor 1 (HR) unbound paclitaxel; (E) Sponsor 3 (ZDTQ) total paclitaxel; (F) Sponsor 3 (ZDTQ) unbound paclitaxel.
Pharmacokinetic Parameters of Albumin-Bound Paclitaxel in Studies 1–3
AUC0−t accounted for >90% of the AUC0−∞ in all subjects, which indicated that the plasma concentration vs. time profiles were well characterized. The mean t1/2 were 20.61–27.31 and 20.3–26.74 h, and the intra-cv values ranged from 6.4 to 11% and 9.85 to 15.87% for total paclitaxel and unbound paclitaxel, respectively (except the t1/2 of 2.53–3 h of unbound paclitaxel of ZDTQ). The Inter-cv values were small, and almost all of these were less than 30%. There were no differences in PK parameters of total paclitaxel among the Sponsor 1 (QL), Sponsor 2 (HR), and Sponsor 3 (ZDTQ) products, which indicate that food did not affect the PK of paclitaxel. However, the unbound paclitaxel exposure was higher and the elimination rate lower with the Sponsor 1 (QL) and Sponsor 3 (ZDTQ) product than with the Sponsor 2 (HR) product (Table 3, Figure 5). The t1/2 of ZDTQ is obviously shorter than those of QL and HR (Table 3, Figure 5).
Figure 5. Total LOG10 Mean serum concentration–time profiles in the study. (A) total paclitaxel; (B) unbound paclitaxel.
Bioavailability and Bioequivalence Analysis
The relative bioavailability of the test products as compared with the reference formulation was 92.16–106.44% for unbound paclitaxel and 93.21–100.8% for total paclitaxel. Both the assessments met the 80–125% BE range recommended by the US FDA (Table 4).
Re-Estimation of Sample Size
We re-estimated the sample size for the three studies based on their BE analysis results (α = 0.05, power = 0.8, GMR, and intra-cv) and the original hypothesis. The re-estimated sample size was 6–20, which is less than our enrollment size (Table 4) (Zhang et al., 2018a,b).
For QL product, 25 subjects were included in the safety evaluation. The incidence of AEs was 100% with the QL product and reference product. The incidence of AEs of grade II or higher severity was 32.0% (5/25) vs. 41.6% (10/24) in the QL and reference groups, respectively.
For HR product, 25 subjects were included in the safety evaluation. The incidence of AEs was 100% with the HR product and 91.7% with the reference product. The incidence of AEs of grade II or higher severity was 32.0% (8/25) vs. 37.5% (9/24) in the HR and reference groups, respectively.
For ZDTQ product, 24 subjects were included in the safety evaluation. The incidence of AEs was 100% with the ZDTQ product and the reference product. The incidence of AEs of grade II or higher severity was 83.0% (20/24) vs. 87.5% (21/24) in the HR and reference groups, respectively.
There was one SAE (cataract) with ZDTQ; which was found to be unrelated to the drug. No fatal AEs or study drug injection site reactions of the drugs were observed. The test and reference groups had a similar incidence and pattern of AEs. There were no reports of unexpected AEs. The common hematologic adverse reactions included: neutropenia, leucopenia, thrombocytopenia, and anemia. The common non-hematologic adverse reactions included: increased ALT, AST, and fasting serum glucose levels; hyperesthesia; skin rashes; itching; fever; fatigue; nausea; diarrhea; and vomiting. In these studies, 24 (32.4%) and 23 (31%) subjects had concomitant medication use for co-existing diseases and administration of colony-stimulating factors was the most common group. There was no use of metabolic inducers or inhibitors, such as cyclosporine, phenobarbital, and ketoconazole, among the patients.
In these BE studies, all formulations of albumin-bound paclitaxel (QL, HR, and ZDTQ) were found to be bioequivalent to the reference formulation (Abraxane®) (Slingerland et al., 2013). The most frequently reported AEs were neutropenia, leucopenia, and thrombocytopenia (Slingerland et al., 2013). Following intravenous administration of the study drug (test or reference), paclitaxel serum concentrations declined in a biphasic manner, with the initial rapid decline representing distribution to the peripheral compartment and the slower second phase representing drug elimination3 (Slingerland et al., 2013). The terminal half-life of total paclitaxel was about 20.61–27.31 h, which is consistent with the reference product (Abraxane®) label2. The large volume of distribution (>1,000 L) of paclitaxel indicates extensive extravascular distribution and/or tissue binding of paclitaxel (Petrelli et al., 2010; Ronghao and Jun, 2015; Hyman et al., 2018; Xiang et al., 2018)3. There was higher exposure and lower elimination rate of unbound paclitaxel QL and ZDTQ as compared to HR product.
There are three plausible explanations. First, systematic errors and large standard deviations might have led to this difference. The exposure reported by Sponsor 2 (HR) was lower, regardless of the test and reference formulation. The unbound paclitaxel concentration was obtained with the following formula:
The rapid equilibrium method may have deviation, which might have contributed to the higher unbound paclitaxel concentration when the total paclitaxel concentration was similar. The second reason could be the small difference in binding or wrapping rates. For example, when the binding or wrapping rates of paclitaxel with albumin are 98.0 and 96.5%, which are within the acceptable range, and the total paclitaxel concentration is 12,000 ng/mL; the unbound paclitaxel concentrations will be 240 ng/mL (12,000 × 98.0%) and 420 ng/mL (12,000 × 96.5%), respectively. The third reason could be differences in the metabolism of paclitaxel. Paclitaxel is metabolized into 6α-hydroxypaclitaxel by cytochrome2C8, and to two minor metabolites, 3-p-hydroxypaclitaxel, and 6α, 3′-p-dihydroxypaclitaxel, by cytochrome 3A4. In vitro, the metabolism of paclitaxel to 6α-hydroxypaclitaxel is inhibited by various agents (e.g., verapamil, ketoconazole, vincristine, etc.)2; however, none of the patients was taking any such concomitant drug in these studies. Thus, we speculate that a gene polymorphism of CYP could have affected the metabolic capability, which leads to higher clearance and ultimately lower exposure of unbound paclitaxel (Hendrikx et al., 2013; Frederiks et al., 2015; Xie et al., 2015).
As ZDTQ had higher LLOQ, the lower concentration of unbound paclitaxel was not checked 12 h after dosing. The terminal elimination half-life is the time taken by the drug to decrease its plasma concentration to half. The length can reflect the drug elimination rate in vivo. If the terminal concentration is very low (the LLOQ is low), the drug elimination terminal slope is small and the half-life is long; if the terminal concentration is high (the LLOQ is high), the drug elimination terminal slope is large and the half-life is short4. Then the t1/2 of ZDTQ is obviously shorter than those of QL and HR. It can be found at Supplement Figure 1. The two figures of time-concentration PK curve have been drawn from the same subject. We used 0–12 h time-concentration (Supplement Figure 1A) and 0–72 h time-concentration (Supplement Figure 1B) to calculate the t1/2. Then we can see the different t1/2 (4.7 vs. 21 h).
Food intake did not affect the PK of paclitaxel, which is supported by the similar exposures of total paclitaxel. The US FDA guidance document suggests that if a patient's health status prevents fasting, the clinic trial site may provide a light diet during the study, when all procedures are need to completed under same condition in the bioequivalence study (Davit et al., 2008; Srinivas, 2009).
The intra-subject variability was small as compared with earlier observations among breast cancer patients, i.e., 6.4–15.9 vs. 21.3% for total paclitaxel and unbound paclitaxel, respectively, which further suggests that paclitaxel is a low variable drug (Karalis et al., 2008). Due to the intravenous administration, paclitaxel entered into blood circulation and gastrointestinal absorption was bypassed. The physiological factors can significantly vary not only between subjects but also within the same subject, e.g., luminal/mucosal enzymes, regional pH, biliary or pancreatic secretions, gastric emptying, intestinal motility, and circadian rhythm etc, (Karalis et al., 2008). These factors can contribute to high intra-subject variability of the drug (Shah et al., 1991; Karalis et al., 2008). Then, we re-estimated the sample size of both the studies. We found that these studies did not need a large sample size. In future, we recommend that 22 subjects may be enough, considering the intra-cv measurement (6.4–15.87%) (Shah et al., 1991).
Paclitaxel is known to cause myelosuppression, peripheral neuropathy, myalgia/arthralgia, cardiovascular events, alopecia, and gastrointestinal toxicity (Henderson and Bhatia, 2007; Conlin et al., 2010; Slingerland et al., 2013; Lluch et al., 2014; Li et al., 2015). The severity of neutropenia correlates with the dose of paclitaxel and can be dose-limiting2. Dose intensification is not possible in cases of such acute toxicities, and dose reduction may have be necessary to improve a patient's condition, with the possibility of reducing treatment effectiveness. Therefore, albumin-bound paclitaxel was developed with a goal of improving the safety profile of paclitaxel treatment by eliminating the potentially toxic component polyethoxylated castor oil while maintaining or enhancing treatment efficacy (Slingerland et al., 2013). However, if the unbound paclitaxel concentration is associated with these toxicities, it is considered as an indicator to evaluate the technology of the production process (Vishnu and Roy, 2010; Guarneri et al., 2012; Palumbo et al., 2015). When the concentration of unbound paclitaxel is low, it indicates that the paclitaxel is covered by albumin successfully. The incidences of AEs and those of grade II or higher severity were comparable between the test formulation and reference formulation, and both the products were well tolerated by the patients. This shows that the imitation formulation is successful.
These randomized, two-period, crossover, clinical BE studies show that albumin-bound paclitaxel products (QL, HR, and ZDTQ) are bioequivalent to Abraxane® (reference) with a lower intra-cv and similar safety profiles of among Chinese breast cancer patients.
These studies were conducted in accordance with Good Clinical Practice and the Declaration of Helsinki. An independent Ethics Committee (of The First Hospital of Jilin University, Changchun, Jilin, China) approved the protocol before the start of the study. All patients provided informed consent before the start of any study-related procedure.
XL, QL, HZ, and YD designed the experiment. LG, XL, QL, HZ, MW, XZ and ChL performed the clinic trials. HZ and CuL analyzed the data. QL, HZ and YD wrote and edited the paper, and drew the figures.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
This work was supported by the National Science Foundation of China (grant numbers: 81602897, 81300313, 30872174, 2017ZX09304004, and 2017ZX09101001-002-041).
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphar.2018.01372/full#supplementary-material
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Keywords: cancer, albumin-bound, paclitaxel, bioequivalence, variability
Citation: Li Q, Zhang H, Zhu X, Liu C, Wu M, Li C, Li X, Gao L and Ding Y (2018) Tolerance, Variability and Pharmacokinetics of Albumin-Bound Paclitaxel in Chinese Breast Cancer Patients. Front. Pharmacol. 9:1372. doi: 10.3389/fphar.2018.01372
Received: 12 August 2018; Accepted: 08 November 2018;
Published: 29 November 2018.
Edited by:Carmen Alvarez-Lorenzo, Universidade de Santiago de Compostela, Spain
Reviewed by:Marcello Locatelli, Università degli Studi G. d'Annunzio Chieti e Pescara, Italy
Ayesha N. Shajahan-Haq, Georgetown University, United States
Copyright © 2018 Li, Zhang, Zhu, Liu, Wu, Li, Li, Gao and Ding. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Yanhua Ding, email@example.com