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IJCRR - 10(13), July, 2018

Pages: 05-10

Date of Publication: 10-Jul-2018


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Validated RP-HPLC Method for Quantification of Paclitaxel in Human Plasma \? Eliminates Negative Influence of Cremophor El

Author: Hindu Kalluru, Vinodhini C., Satish Srinivas K., Surulivel Rajan M., Chitra K., Mangathayaru K.

Category: Healthcare

Abstract:Background: Literature reports innumerable methods for quantification of paclitaxel in biological matrices. Most of these involve complicated extraction procedures like solid phase extraction, separate procedure for elimination of interference of Cremophor El, advanced and expensive instruments.
Objectives: The objective of the present research work is to develop and validate a simple, rapid, sensitive, economic and reproducible reverse phase \? high performance liquid chromatography method for the estimation of paclitaxel concentration in human plasma that eliminates negative influence of Cremophor El on recovery of paclitaxel.
Methods: Chromatographic separation of paclitaxel was carried out using C18 column (150 × 4.6 mm i.d., 4\?m particle size, Waters, Australia) with 60% acetonitrile, 40% of 10mM ammonium acetate buffer solution and 0.1% formic acid as a mobile phase at a flow rate of 1.0mL/min at ambient temperature. Validation was performed as per ICH Q2 guidelines.
Results: In this system the retention time was 3min. The detection limit was 5ng/mL and limit of quantification with reproducibility was 15ng/mL. Plasma samples were extracted using single solvent (tertiary \? Butyl Methyl Ether) liquid- liquid extraction with a recovery of 96-99%. Robustness of the method was established with variation in flow rate, detection wave length and mobile phase composition. Stability of paclitaxel during the study period was studied and found to be stable.
Conclusion: The developed method is easy to perform, quick, reproducible with good recovery without negative influence of Cremophor El and applicable to quantify paclitaxel in regular clinical practice for individualization of the therapies.

Keywords: Paclitaxel, Cremophor El, Single solvent extraction, Bioanalytical

Full Text:

Paclitaxel is a very effective antineoplastic agent used in the treatment of ovarian, breast, cervix and non-small cell lung cancers (1). Paclitaxel was the first taxane derivative isolated from the bark of Taxusbrevifoliain the year 1971 (2) and being marketed from 1993 (3). It is a complex, hydrophobic molecule administered in a solution of Cremophor-EL (Cr El) and dehydrated alcohol in the ratio of 1:1.

Neutropenia, myelosuppression, gastrointestinal ailments, alopecia are the common adverse effects of paclitaxel treatment. Peripheral neuropathy is the major adverse effect of paclitaxel and increases with increasing cumulative dosage (2). Moreover, Cr El is widely known to cause severe hypersensitivity reactions requiring premedication (4).

It is well recognized that there is inter and intraindividual variability in pharmacokinetic characteristics of paclitaxel. Currently body surface area (BSA) is used in the dosing of paclitaxel, leading to significant interindividual differences in plasma concentrations and risk of severe and treatment limiting adverse effects (5, 6). Quantification of paclitaxel in the blood or plasma samples is necessary to establish pharmacokinetic parameters that can assess inter and intraindividual variability, thereby making necessary dose adjustments to improve therapeutic efficacy and minimizing the adverse effects (7). It is also reported that Cr El has a negative impact on the reproducibility of bioanalysis of paclitaxel due to entrapment of paclitaxel in the micelles of Cr El (8), and various methods are used to nullify the effect of Cr El on quantification of paclitaxel (9).

Therefore, it is necessary to develop a rapid, simple, sensitive, economic and reproducible method to quantify plasma concentrations of paclitaxel in regular clinical practice to promote individualization of treatments.

Till date several methods have been reported for the quantification of paclitaxel in biological matrices using various techniques like high performance liquid chromatography (HPLC), liquid chromatography-tandem mass spectroscopy (LC-MS), micellarelectrokinetic chromatography (MEKC), capillary electrophoresis, immune assays etc (10-12). Most of these methods require tedious, complicated extraction procedures like solid phase extraction (SPE), advanced and expensive instruments like LC-MS which are not available in many hospitals, diagnostic and research labs.    

We herewith report on our development of a rapid, simplified, economic and sensitive method of paclitaxel quantification in human plasma by liquid-liquid extraction for application in clinical sample analysis. 

METHODS

Instruments and Reagents

The HPLC system - LC- 2010 (Shimadzu Corporation, Kyoto, Japan) liquid chromatographic quaternary auto sampler pump model equipped with UV-Visible detector, Class VP software. C18 HPLC column with 150×4.6mm (i.d) with particle size of 4µm (Waters, Australia),  universal guard column with 20×3.9mm i.d and UV detector (Shimadzu), Ultra sonicator (PCI analytics, Vertex enterprises, India), Milli Q water system, Micro centrifuge and vortex shaker.

Paclitaxel (>99% purity) was purchased from Sigma-Aldrich, India. Paclitaxel formulation (Taxeleon 30mg/5mL) was kindly gifted by Neon Laboratories, Mumbai. Acetonitrile, t-butyl methyl ether (t-BME), methanol of HPLC grade, ammonium acetate and formic acid of analytical grade were used. Deionized water purified from Milli-Q water system was used throughout the study. Drug free plasma was obtained from healthy volunteers in our laboratory.

Preparation of stock solution

Stock solution of paclitaxel was prepared by dissolving 10mg of paclitaxel in 10mL of acetonitrile. This stock solution was further diluted for the preparation of working standard solutions with diluent (Acetonitrile and water in 1:1 ratio) to get the concentration range of 6ng/mL to 6µg/mL.

Blood sampling

This method development is a part of pharmacokinetic drug interaction study in cancer patients and has been approved by Institutional ethics committee of our institution (IEC No: IEC-NI/16/Mar/51/16). Blood samples from six cancer patients receiving 260mg of Paclitaxel were collected after procuring signed written informed consent. All the blood samples were collected in heparinized vacutainers. Plasma samples were separated from the whole blood by centrifuging at 3000 rpm for 10min and were stored in refrigerator at -80°C until analysis.

Sample Pretreatment

About 500µL of patient plasma was extracted with 1mL of t-BME twice and vortexed for 1 min. After centrifugation at 2000 rpm for 10 min, the organic layer was transferred into a 10 mL beaker. The t-BME extract was evaporated to dryness, residue was reconstituted with 1mL of diluent and filtered through 0.22 µ pore size nylon membrane filters, about 20 µL of the sample was applied to HPLC analysis as per the proposed chromatographic conditions (13).

HPLC Conditions

Chromatographic separation of paclitaxel was performed using C18 column (150×4.6mm i.d., 4µm particle size, Waters, Australia) with 60% acetonitrile, 40% 10mM ammonium acetate buffer solution and 0.1% formic acid as mobile phase ata flow rate of 1.0 mL/min at ambient temperature. The detection wavelength was 230 nm. Detector output integration was carried using Class VP software to determine peak areas.

Validation

The validation was performed as per ICH Q2(R1) guidelines (14). Calibration curves of paclitaxel were developed using drug free plasma samples spiked with known concentration of paclitaxel standard. The detection limits were calculated from the calibration curve. Intra and inter-day method precision, accuracy, recovery, stability and robustness were assessed using spiked plasma samples with 6-60000 ng/mL paclitaxel standard solution. The recovery was calculated as the difference in the peak area between standard and that spiked to plasma sample.

Statistical methods:

The data was statistically treated using Microsoft excel 2010. Statistical methods like relative standard deviation, percentage and coefficient of determination (r2) were used.

RESULTS

Linearity and detection limits

The limit of detection was found to be 5 ng/mL and limit of quantification that can be reliably and reproducibly measured is 15 ng/mL. Linearity of detector response was assessed for extracted plasma standards over the range of 6-6000 ng/mL with an r2 value of 0.9998 (Table I). For 0.5 mL aliquots of plasma samples, linearity was satisfactory between 6 and 6000 ng/mL.

Precision

Assay precision was found to be satisfactory in the concentration range of 6-6000 ng/mL. The intraday and interday precision was assessed using six replicates of three concentrations 60, 600, 6000 ng/mL and the relative standard deviation was found to be < 0.7% for intraday and < 3% for interday precision (Table II).

Formulation Assay

Accuracy of the method was established by quantification of paclitaxel in the pharmaceutical dosage form (Taxeleon 30 mg/5mL, Neon laboratories) in the concentration range of 6-60000 ng/mL. The results shows that the peak shape is symmetrical with a good baseline and there was strong correlation between the standard solutions and pharmaceutical dosage form solutions with respect to retention time and peak area. The assay performance data are presented in Table II.

Recovery

Recovery of paclitaxel was estimated by using spiked plasma samples of 500 µL with standard solutions of known concentrations, extraction of plasma samples as per the sample pretreatment procedure, analyzing and comparison of peak areas of paclitaxel standard and extracted plasma samples. Recovery of paclitaxel measured in triplicates at three concentrations (60 ng, 600 ng and 6 µg/mL) was in the range of 96-99% (Table II).

Selectivity and Specificity

Chromatograms of blank plasma, paclitaxel standard in diluent, paclitaxel extracted from patient plasma are illustrated in the Fig 1.  The results of extraction from plasma and standard reveal a symmetrical peak shape and good baseline resolution of paclitaxel. Interference due to plasma matrix components was not observed during the analysis. Using this system, the retention time for paclitaxel was 3 min and the runtime for total analysis of each run was efficiently maintained for 5 min.

It is also observed that there is no interference of endogenous peaks, peak shape and retention time being the same for paclitaxel standard in diluent, paclitaxel formulation and extracted plasma samples.

Stability of paclitaxel

The stability of paclitaxel standard solution and extracted plasma were assessed for 6h to determine the optimum requirements for processing and storage during the analysis (Table III). We found that paclitaxel was quite stable in room temperature and at 4°C for the assay duration.

Robustness

Three chromatographic conditions (Detection wavelength, Flow rate and composition of mobile phase) were altered deliberately at a range of ± 2% and under each condition samples were analyzed to estimate the paclitaxel content. The results reveal that the values were in the acceptance limits of 98-102% with %RSD (Relative Standard Deviation)of less than 2% (Table IV).

Effect of Cremophor El on paclitaxel analysis

It is reported that the bioanalysis of paclitaxel reproducibility is negatively affected by Cr El (9). However, no such effects were observed in our study. This may be due to liquid-liquid extraction with t-BME, that nullifies the ion suppression effects caused by Cr El (15).

DISCUSSION

The limit of detection and limit of quantification of the current developed method is sensitive enough to carry out the clinical studies/pharmacokinetic studies of paclitaxel for 24 h. These are equal to the methods using sophisticated solid phase extraction (10). The value of regression coefficientr2=0.9998 confirmed the linear relationship between the concentration of the drug and area of the peak. This method is precise enough to perform continuous and regular quantification of paclitaxel in human plasma. The minimal variation in %RSD for interday and intraday precision indicates the complete harmony among repeated injection, repeated analysis, intraday and interday study.

The strong correlation between the standard solutions and pharmaceutical dosage form with respect to retention time and peak area establishes the accuracy of the method. The proposed method of analysis was highly selective and specific as peaks of the analyte in spiked plasma and patient plasma were well resolved. Separation of peaks was confirmed by using blank plasma, plasma spiked with analyte and patient plasma containing analyte along with other drugs. The recovery of paclitaxel was efficient and equal to the costly SPE techniques which were used in other methods (10).

The minor deliberate changes made in various experimental parameters did not significantly affect the peak area, recovery of the analyte indicating the robustness of the developed method. The stability of paclitaxel in various conditions has been well studied. In this method stability of paclitaxel in standard solutions and extracted from plasma was assessed for 5 h both at room temp (bench-top) and under refrigeration at 4°C to establish the stability of the analyte during the process of analysis. The %RSD values shows that there were no considerable changes in their concentration after 5 h indicating that samples are stable during analysis.

The extraction solvent used in this method t-BME can eliminate the negative influences caused by the Cr El that are reported in other methods (9). This method was a part of pharmacokinetic drug interaction study of paclitaxel in breast cancer patients. It was successfully applied for quantification of paclitaxel in human plasma and pharmaceutical dosage form. The method is sensitive enough to quantify paclitaxel in the samples upto 24 h of intravenous administration.  

CONCLUSION

The current developed RP-HPLC method for quantification of paclitaxel in human plasma is rapid, economic, sensitive and reproducible without negative influence of Cr El. Limit of quantification of this method was 15 ng/mL, making it applicable for clinical pharmacokinetic studies of paclitaxel. A number of methods have been described earlier for quantification of paclitaxel in various biological matrices using various techniques including HPLC. The later involve longer run times, usage of costly SPE procedures and methods to reduce the influence of CrEl. The method described here is equally sensitive yet simpler, using single solvent extraction procedure and having a short retention time of 3 min.

Mobile phase composition, sample extraction using t-BME and the use of C18 (15× 4.6 cm i.d, 4 µm particle size) column have attributed to the sensitivity, precision, reproducibility and shorter retention time of the method, which makes it a very practical method to use.

ACKNOWLEDGEMENTS

Our sincere thanks toNeon laboratories, Mumbai for gifting paclitaxel formulation (Taxeleon 30mg/5mL).

FUNDING

Our sincere thanks to the management, Sri Ramachandra University for supporting the research work in the form of GATE Young Faculty Research Grant for the year 2016-17 (Grant no – 54/Dean/2016)

 

 

References:

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(2)     Jordan MA, Wilson L. Microtubules and Actin Filaments: Dynamic Targets for Cancer Chemotherapy. Current Opinion in Cell Biology 1998; 123–130.

(3)      Jordan MA, Wilson L. Microtubules as a Target for Anticancer Drugs. Nature Reviews Cancer 2004; 4 (4): 253–265.

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(5)      Steed H, Sawyer MB. Pharmacology, Pharmacokinetics and Pharmacogenomics of Paclitaxel. Pharmacogenomics2007; 8 (7): 803–815.

(6)      Gerritsen-van Schieveen P, Royer B. Level of Evidence for Therapeutic Drug Monitoring of Taxanes. Fundamentals and Clinical Pharmacology2011; 25 (4): 414–424.

(7)      Krens SD, McLeod HL, Hertz DL. Pharmacogenetics, Enzyme Probes and Therapeutic Drug Monitoring as Potential Tools for Individualizing Taxane Therapy. Pharmacogenomics 2013; 14 (5): 555–574.

(8)      Sparreboom A, Zuylen L Van, Brouwer E, Loos WJ, Bruijn P De, Gelderblom H et al. Cremophor EL-Mediated Alteration of Paclitaxel Distribution in Human Blood?: Clinical Pharmacokinetic Implications.Cancer Research 1999; 1454–1457.

(9)      Andersen A, Warren DJ, Brunsvig PF, Aamdal S, Kristensen GB, Olsen H. High Sensitivity Assays for Docetaxel and Paclitaxel in Plasma Using Solid-Phase Extraction and High-Performance Liquid Chromatography with UV Detection. BMC Clinical Pharmacology 2006; 6 (1): 2.

(10)HendrikxJJMA, Rosing H, SchinkelAH, Schellens JHM, Beijnen JH. Quantification of Taxanes in Biological Matrices: A Review of Bioanalytical Assays and Recommendations for Development of New Assays. Bioanalysis 2014; 6 (7): 993–1010.

(11)    Palmas RA, Monteiro J, Fresco P. Analytical Methods for Taxanes Quantification in Diluted Formulations and Biological Samples and Their Applications in Clinical Practice. International Journal of Pharmacy and  Pharmaceutical Sciences 2014; 6 (6): 17–23.

(12)    Khan I, Iqbal Z, Khan A, Hassan M, Nasir F, Raza A et al. A simple, rapid and sensitive RP-HPLC-UV method for the simultaneous determination of sorafenib and paclitaxel in plasma and pharmaceutical dosage forms: Application to pharmacokinetic study. J Chromatogr B Analyt Technol Biomed Life Sci., 2016;DOI: 10.1016/j.jchromb.2016.08.029.

(13) Yonemoto H, Ogino S, Nakashima MN, Wada M, Nakashima K. Determination of Paclitaxel in Human and Rat Blood Samples after Administration of Low Dose Paclitaxel by HPLC-UV Detection. Biomedical Chromatography 2007; 21: 310-317.

(14)https://www.gmp-compliance.org/guidelines/gmp-guideline/ich-q2r1-validation-of-analytical-procedures-text-and-methodology (Last accessed: October 28, 2017)

(15) Bhaskar V. Identification and Reduction of Matrix Effects Caused by Cremophor EL in Bioanalysis Using Liquid Chromatography/Tandem Mass Spectrometry.  Analytical and Bioanalytical Techniques 2013; 4 (3): 167.

Announcements

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One article from every issue is selected for the ‘Best Article Award’. Authors of selected ‘Best Article’ are rewarded with a certificate. IJCRR Editorial Board members select one ‘Best Article’ from the published issue based on originality, novelty, social usefulness of the work. The corresponding author of selected ‘Best Article Award’ is communicated and information of award is displayed on IJCRR’s website. Drop a mail to editor@ijcrr.com for more details.

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A Study by Sudha Ramachandra & Vinay Chavan entitled "Enhanced-Hybrid-Age Layered Population Structure (E-Hybrid-ALPS): A Genetic Algorithm with Adaptive Crossover for Molecular Docking Studies of Drug Discovery Process" is awarded Best article for Vol 12 issue 15
A Study by Varsha M. Shindhe et al. entitled "A Study on Effect of Smokeless Tobacco on Pulmonary Function Tests in Class IV Workers of USM-KLE (Universiti Sains Malaysia-Karnataka Lingayat Education Society) International Medical Programme, Belagavi" is awarded Best article of Vol 12 issue 14, July 2020
A study by Amruta Choudhary et al. entitled "Family Planning Knowledge, Attitude and Practice Among Women of Reproductive Age from Rural Area of Central India" is awarded Best Article for special issue "Modern Therapeutics Applications"
A study by Raunak Das entitled "Study of Cardiovascular Dysfunctions in Interstitial Lung Diseas epatients by Correlating the Levels of Serum NT PRO BNP and Microalbuminuria (Biomarkers of Cardiovascular Dysfunction) with Echocardiographic, Bronchoscopic and HighResolution Computed Tomography Findings of These ILD Patients" is awarded Best Article of Vol 12 issue 13 
A Study by Kannamani Ramasamy et al. entitled "COVID-19 Situation at Chennai City – Forecasting for the Better Pandemic Management" is awarded best article for  Vol 12 issue 12
A Study by Muhammet Lutfi SELCUK and Fatma entitled "Distinction of Gray and White Matter for Some Histological Staining Methods in New Zealand Rabbit's Brain" is awarded best article for  Vol 12 issue 11
A Study by Anamul Haq et al. entitled "Etiology of Abnormal Uterine Bleeding in Adolescents – Emphasis Upon Polycystic Ovarian Syndrome" is awarded best article for  Vol 12 issue 10
A Study by entitled "Estimation of Reference Interval of Serum Progesterone During Three Trimesters of Normal Pregnancy in a Tertiary Care Hospital of Kolkata" is awarded best article for  Vol 12 issue 09
A Study by Ilona Gracie De Souza & Pavan Kumar G. entitled "Effect of Releasing Myofascial Chain in Patients with Patellofemoral Pain Syndrome - A Randomized Clinical Trial" is awarded best article for  Vol 12 issue 08
A Study by Virendra Atam et. al. entitled "Clinical Profile and Short - Term Mortality Predictors in Acute Stroke with Emphasis on Stress Hyperglycemia and THRIVE Score : An Observational Study" is awarded best article for  Vol 12 issue 07
A Study by K. Krupashree et. al. entitled "Protective Effects of Picrorhizakurroa Against Fumonisin B1 Induced Hepatotoxicity in Mice" is awarded best article for issue Vol 10 issue 20
A study by Mithun K.P. et al "Larvicidal Activity of Crude Solanum Nigrum Leaf and Berries Extract Against Dengue Vector-Aedesaegypti" is awarded Best Article for Vol 10 issue 14 of IJCRR
A study by Asha Menon "Women in Child Care and Early Education: Truly Nontraditional Work" is awarded Best Article for Vol 10 issue 13
A study by Deep J. M. "Prevalence of Molar-Incisor Hypomineralization in 7-13 Years Old Children of Biratnagar, Nepal: A Cross Sectional Study" is awarded Best Article for Vol 10 issue 11 of IJCRR
A review by Chitra et al to analyse relation between Obesity and Type 2 diabetes is awarded 'Best Article' for Vol 10 issue 10 by IJCRR. 
A study by Karanpreet et al "Pregnancy Induced Hypertension: A Study on Its Multisystem Involvement" is given Best Paper Award for Vol 10 issue 09

List of Awardees

A Study by Ese Anibor et al. "Evaluation of Temporomandibular Joint Disorders Among Delta State University Students in Abraka, Nigeria" from Vol 13 issue 16 received Emerging Researcher Award


A Study by Alkhansa Mahmoud et al. entitled "mRNA Expression of Somatostatin Receptors (1-5) in MCF7 and MDA-MB231 Breast Cancer Cells" from Vol 13 issue 06 received Emerging Researcher Award


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International Journal of Current Research and Review (IJCRR) provides platform for researchers to publish and discuss their original research and review work. IJCRR can not be held responsible for views, opinions and written statements of researchers published in this journal

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