Int J App Pharm, Vol 14, Issue 2, 2022, 116-124Original Article

A NEW RELATED SUBSTANCES METHOD DEVELOPMENT AND VALIDATION OF TWO ANTI-CANCER DRUGS BY USING EFFECTIVE LIQUID CHROMATOGRAPHIC METHOD

T N V S S SATYADEV*, CHINTALAPUDI RAMAKRISHNAa

*Department of Chemistry, P B Siddhartha College of Arts and Science, Vijayawada, A. P., aDepartment of Chemistry, RVR and JC College of Engineering, Guntur, A. P.
Email: satyadev2satya@gmail.com

Received: 12 Nov 2021, Revised and Accepted: 06 Jan 2022


ABSTRACT

Objective: The present study was aimed at developing and successively validating novel, simple, responsive and stable RP-HPLC method for the measurement of active pharmaceutical ingredients of mitomycin and fluorouracil and their related substances.

Methods: Using the impurity-spiked solution, the chromatographic approach was optimized. The chromatographic method used Luna C18 column of dimensions 150x4.6 mn, 3.5 μm, using gradient elution with a mobile phase of acetonitrile and 0.1 percent orthophosphoric acid. A flow rate of 1 ml/min and a detector wavelength of 260 nm using the PDA detector was provided in the instrumental settings. Recovery, specificity, linearity, accuracy, robustness, ruggedness was determined as a part of method validation and the results were found to be within the acceptable range.

Results: According to the ICH guidelines, the developed approach was validated. The calibration charts plotted were linear with a regression coefficient of R2>0.999.

Conclusion: The method developed was found to be applicable to routine analysis and to be used for the measurement of active pharmaceutical ingredients (i. e, Mitomycin and Fluorouracil and its related impurities). Since there is no HPLC method reported in the literature for the estimation of Mitomycin, Fluorouracil and its related impurities; there is a need to develop quantitative methods under different conditions to achieve improvement in specificity, selectivity etc.

Keywords: Mitomycin, Fluorouracil, RP-HPLC, Development, Validation


INTRODUCTION

Mitocycins are a class of aziridine-containing natural products isolated from Streptomyces caespitosus or Streptomyces Lavendulae [1, 2]. They include Mitomycin A, Mitomycin-based B, and Mitomycin C. If the Mitomycin appears alone, it commonly refers to Mitomycin C. Mitomycin C [3] is used to treat various diseases associated with the development and distribution of cells. In the bacterium legionella pneumophila [4-6], mitomycin C induces competence for transformation [7] natural transformation is a process of DNA transfer [8, 9] between cells and is regarded as a form of bacterial sexual interaction. In the fruit fly drosophila melanogaster [10, 11] exposure to mitomycin C improves recombination during meiosis [12, 13] a crucial stage of the reproductive cycle [14]. In the plant Arabidopsis thaliana [15, 16] mutant strains defective in genes required for recombination during meiosis and mitosis [17, 18] are hypersensitive to killing by mitomycin C [19]. Mitomycin C has been shown to have activity against stationary phase persisters caused by borealis burgdorferi, a factor in lyme disease [20, 21]. Mitomycin C is used to alleviate symptoms of cancer of the pancreas and stomach and is under clinically tested for its potential to treat gastrointestinal strictures [22], wound healings from glaucoma surgery [23] corneal exciter laser surgery [24] and endoscopic dacryocystorhinostomy [25].

The drug Fluorouracil (5-FU) is used to treat cancer [26], marketed among others, under the brand name adrucil. Via injection into a vein for colon cancer, it is used [27], esophageal cancer [28], stomach cancer, pancreatic cancer [29], breast cancer [30] and cervical cancer [31]. As a cream, it is used for actinic keratosis [32], basal cell carcinoma [33] and skin warts [34]. Many persons experience side effects when injected. Common side effects include inflammation of the mouth, loss of appetite, low blood cell counts, hair loss and inflammation of the skin. When used as a cream irritation, it usually takes place at the application's site. In pregnancy, use of either type can injure the infant. Fluorouracil is in the antimetabolite [35] and pyramiding analogue families of medications. How it functions is not entirely clear but believed to involve blocking the action of thymidylate synthase [36] and therefore preventing the development of DNA. The safest and most powerful medicines needed in a health system it is on the list of global health organizations [37], fluorouracil has been given systematically for anal, breast, colorectal, esophageal and stomach, pancreatic and skin cancers (especially head and neck cancers). It has also been given topically (on the skin) for actinic Kerasotes, scalp cancers and Bowen’s disease [38] and as eye drops for the treatment of ocular surface summons neoplasia. Other applications include eye injections into a previously formed trabeculectomy [39] bleb to prevent heeling and induce tissue scarring while facilitating sufficient aqueous humour flow to decrease intraocular pressure [40].

MATERIALS AND METHODS

Chemicals

Acetonitrile, HPLC-grade orthophosphoric acid, water were purchased from Merck India Ltd, Mumbai, India. APIs of Mitomycin, Fluorouracil and their impurities as reference standards were procured from Spectrum solution for pharmacy research Pvt, Ltd, Hyderabad.

Instrumentation

Waters alliance liquid chromatography (model 2695) monitored with empower 2.0 data handling system and fitted with a Luna C18 (150x4.6 mm, 3.5 µ) and a detector of photodiode array (model 2998) was used for this study.

Preparation of buffer

1 ml of orthophosphoric acid is dissolved in 1 lt of HPLC grade water and filter through 0.45 µ filter paper.

Chromatographic conditions

The HPLC analysis was performed on a reverse phase HPLC system with gradient elution mode using a mobile phase of acetonitrile and 0.1% OPA and Luna column C18 (150x4.6 mm, 3.5 μ) column with a flow rate of 1 ml/min.

A B C

D E F

Fig. 1: Chemical structures of (A) Mitomycin (B) Mitomycin impurity-A (C) Mitomycin impurity-B (D) Fluorouracil (E) Fluorouracil Impurity-A and (F) Fluorouracil impurity-B

Table 1: Gradient programmed

Time (min) Acetonitrile Buffer
0 30 70
5 50 50
10 80 20
12 30 70
18 30 70

Till today there are no HPLC methods reported in the literature, So, it has more interested to develop a novel and reliable HPLC strategy for the establishment of Mitomycin, Fluorouracil and their related impurities.

Diluents

Mobile phase was used as a diluent.

Preparation of regular stock solution

Accurately weighed and transfer 100 mg of Mitomycin, 50 mg of Fluorouracil working standards into a 100 ml clean dry volumetric flask and diluent was added and sonicated to dissolve it completely and made volume up to the mark with the same solvent. 1 ml of the above solution was taken into 10 ml volumetric flask and made up to the mark with diluents.

Impurities stock solutions

Accurately weighed and transferred5 mg of impurity-A and impurity-B of mitomycin and impurity-A and impurity-B of Fluorouracil working standards into a 100 ml clean dry volumetric flask and diluent was added and sonicated to dissolve completely and made volume up to the mark with the same solvent. 1 ml of the above solution was taken into 10 ml volumetric flask and volume was made up to the mark with diluents.

Preparation of the standard solution

Pipetted 5 ml of the above standard stock solution and 5 ml of impurities stock solution into a 50 ml volumetric flask and diluted up to the mark with diluent.

Validation procedure

The analytical parameters [41-45] such as system suitability, precision, specificity, accuracy, linearity, robustness, LOD, LOQ, forced degradation and stability were validated according to ICH Q2 (R1) guidelines [46].

System suitability

System suitability parameters have been calculated to check the performance of the system. The parameters can be measured and found to be within the limit, including USP plate count, USP tailing, and percent RSD.

Specificity

The capacity to test the analyte unequivocally in the presence of other elements, such as impurities, Excitements that might be assumed in order to be present in the sample solution and norm solution, is specificity. It was tested by analyzing the blank sample and the samples spiked with fluorouracil and mitomycin.

Accuracy

Accuracy is the closeness to the true value of the test results produced by the process. The recovery trials were tested at three separate concentration levels. A minimum of three injections were given at each stage, measuring the amount of the drug present, the percentage of recovery and the associated standard deviation.

Precision

The degree of agreement among individual test results is the precision of analytical process. It was analyzed through multiple sampling analysis of a homogeneous sample in terms of repeatability, intraday and inter-day variations, the accuracy of the current system was evaluated. The sample was analysed at various time intervals on the same day as well as on different days.

Linearity

The linearity of the analytical approach is its capacity to generate outcomes within a definite scope. Peak area was directly proportional to the analytes concentration in the sample for the evaluation of the linearity spectrum; six series of standard solutions were chosen. Using the peak area versus the concentration of standard solution, the calibration curve was plotted and the regression equations were measured. The system of least squares was used to measure the slope, coefficient and intercept of correlation.

LOD and LOQ

LOD is the smallest analyte quantity in the sample that sample that can be identified, LOQ is the smallest analyte quantity in the sample which can be calculated with reasonable precision and accuracy. On the basis of calibration curves, LOD and LOQ were separately computed. LOD and LOQ were determined according to ICH guidelines as 3.3s/n and 10 s/n, respectively, where s/n indicates the ratio of signal to noise.

Robustness

The robustness of an analytical procedure is a measure of its ability to remain unaffected by small but deliberate changes in method parameters of the system and provide an indication of its reliability during regular use. The robustness analysis was carried out by injecting the standard solution into the HPLC system and adjusting the flow rate (±0.2 ml/min), organic step (±percent) of chromatographic conditions. By evaluating the affect of the changed parameters, the separation factor, retention time and peak asymmetry were determined.

Forced degradation

Stress degradation should be no interference between the peaks obtained for a chromatogram of preparations. According to ICH guidelines, stress degradation studies were conducted. The peaks of degradation should be well apart from each other and the resolution between the peaks should be at least 2.0 and the peak purity of the principal peaks shall pass. Forced degradation experiments were conducted to obtain the degradation of about 20 percent by various types of stress conditions.

RESULTS AND DISCUSSION

The main analytical challenge during development of a new method was to separate active pharma ingredients from their impurities. In order to provide a good performance the chromatographic conditions were optimized.

Method optimization

To optimize the chromatographic conditions, different ratios of phosphate buffer and the acetonitrile in the mobile phase with isocratic and gradient mode was tested. However the mobile phase composition was modified at each trial to enhance the resolution and also to achieve acceptable retention times. Finally 0.1% OPA buffer and acetonitrile with gradient elution was selected because it results in a greater response of active pharmacy ingredient and their impurities. During the optimization of the method various stationary phases such as C8, C18 phenyl and amino columns were tested [47]. From these trials the peak shapes were relatively good with a column of Luna C18 150x4.6 mm, 3.5 µ with a PDA detector. The mobile phase flow rate has been done at 260 nm in order to obtain enough sensitivity. By using the above conditions, we get retention times of mitomycin and fluorouracil were about 2.984 and 10.383 min with a tailing factor of 1.05 and 1.03. The retention times of mitomycin impurity-A and impurity-B were impurities of 3.717, 4.770 min and the fluorouracil impurity-A and impurity-B were 5.800, 10.941 min, respectively. The number of theoretical plates for mitomycin and fluorouracil were 3102, 48107, which indicate the column’s successful output the % RSD for six replicate injections was around 0.94% the proposed approach suggests that it is extremely precise. According to ICH guidelines, the method established was validated.

Method validation

The optimized RP-HPLC validated method [48] according to ICH guidelines in terms of system suitability, linearity, consistency, precision and robustness.

System suitability

Device suitability parameters have been assessed, such as USP plate count, USP tailing and percent RSD.

Table 2: Results of system suitability

Suitability parameter Acceptance criteria Mitomycin Fluorouracil
Mean Std dev Mean Std dev
USP Plate count NLT 2000 3451 30.956 47555 385.738
USP Tailing NMT 2.0 1.04 0.010 1.04 0.005
USP Resolution NMT 2.0 - - 13.35 0.193

(n=6)

Fig. 2: Chromatogram of system suitability

Specificity

According to the test method placebo, sample and standard solutions were analyzed individually to examine the interference. The below fig. shows that the active ingredients were well separated from blank and their excipients and there was no interference of placebo with the principal peak. Hence the method is specific.

Linearity

The area of the linearity peak versus different concentrations has been evaluated for mitomycin, fluorouracil and their related substances. The test solutions are prepared for related substance method from impurity stock solution at various concentration levels. The spectrum of linearity has been found to be 10-150µg/ml of mitomycin, 5-75 µg/ml fluorouracil and 0.5-7.5 μg/ml each impurity of mitomycin and fluorouracil. Under optimum chromatographic conditions, we get linear relations between the peak areas and the peak regions corresponding pitch concentrations. The correlation coefficients for all the components were under the limit.

Fig. 3: Chromatogram of blank

Table 3: Linearity results of mitomycin, fluorouracil and their impurities

A

Linearity Mitomycin Imp-A Imp-B
Conc. (µg/ml) Area Conc. (µg/ml) Area Conc. (µg/ml) Area
Linearity-1 10 995452 0.5 30930 0.5 50986
Linearity-2 25 2647909 1.25 71994 1.25 155072
Linearity-3 50 5498961 2.5 146548 2.5 328439
Linearity-4 100 10336275 5 272860 5 621459
Linearity-5 125 12236122 6.25 342684 6.25 766171
Linearity-6 150 14985674 7.5 405764 7.5 921159
Slope 99103.67 53892.42 123150.03
Intercept 158957.55 4464.89 1547.91
CC 0.99912 0.99972 0.99964

B

Linearity Fluorouracil Imp-A Imp-B
Conc. (µg/ml) Area Conc. (µg/ml) Area Conc. (µg/ml) Area
Linearity-1 5 703856 0.5 140060 0.5 92975
Linearity-2 12.5 1677472 1.25 372964 1.25 226087
Linearity-3 25 3521197 2.5 779597 2.5 458160
Linearity-4 50 6555366 5 1524653 5 868924
Linearity-5 62.5 8097411 6.25 1877405 6.25 1095114
Linearity-6 75 9515457 7.5 2240095 7.5 1315810
Slope 127263.01 300307.34 174264.37
Intercept 114323.82 3957.87 6998.51
CC 0.99945 0.99984 0.99988

Table 3: Results of accuracy

S. No % Level Mitomycin Fluorouracil
% Recovery Std dev % Recovery Std dev
1 50 100.1 0.208 99.9 0.252
2 100 100.1 0.101 100.2 0.265
3 150 100.0 0.201 99.9 0.153

(n=3)

Accuracy

Accuracy was conducted in triplicate by analyzing active pharma ingredient sample solution spiked with known amounts of all the impurities at three kinds of concentration levels of 50, 100 and 150% of each at a specified limit. For all impurities, percentage recoveries were measured and found to be within the limit.

Precision

The precision [49] of an analytical technique is the degree of closeness of a series of measurements derived from multiple homogeneous mixture samplings. The exactness of the process of related substances was performed by injection of six individual injection determinations of mitomycin (100 ppm) and fluorouracil (50 ppm) spiked with that of each of 5% of imp-A and imp-B of mitomycin and imp-A and imp-B of fluorouracil. The % RSD was determined for each impurity and the results have shown that the technique is precise under the specified experimental conditions.

A B

C D

E F

Fig. 4: Calibration plots of (A) Mitomycin (B) Mitymycin imp-A (C) Mitomycin imp-B (D) Fluorouracil (E) Fluorouracil Imp-A (F) Fluorouracil imp-B

Table 4: Intraday precision results of mitomycin and fluorouracil

Sample number % of related substances
Mitomycin Fluorouracil
Spiked impurities Total impurities

% Purity

(100-total imp)

Spiked impurities Total impurities

% Purity

(100-total imp)

1 5.15 0.69 99.31 5.06 0.55 99.45
2 5.16 0.62 99.38 5.07 0.57 99.43
3 5.14 0.67 99.33 5.09 0.51 99.49
4 5.13 0.63 99.37 5.01 0.54 99.46
5 5.18 0.61 99.39 5.03 0.52 99.48
6 5.17 0.65 99.35 5.04 0.59 99.41
Average 5.16 0.65 99.36 5.05 0.55 99.45
Std Dev 0.019 0.031 0.031 0.029 0.030 0.030
% RSD 0.36 4.78 0.03 0.57 5.51 0.03

(n=6)

Fig. 5: Chromatogram of sample

Intermediate precision

Six replicates of the sample solution were analyzed on various analysts and different instruments were tested on separate days. The peak areas used to measure mean percent RSD values were measured. The following table gives the results.

LOD and LOQ

By steadily injecting the lower ones, LOD and LOQ of the compounds were carried out. The periodic solution concentrations of the LOD concentrations of Mitomycin and its impurities were 3.03, 0.15, 0.15 and their values for s/n are 8, 4, 4; Fluorouracil and its impurities were 1.52, 0.15, 0.15 and their s/n values were 6, 4, 4. The LOQ concentrations of Mitomycin and its impurities were 10, 0.5, 0.5 and their s/n values were 27, 22, 22; Fluorouracil and its impurities were 5, 0.5, 0.5 and their s/n values were 25, 23, 22, respectively. This method is validated as per the ICH guidelines [50-53].

Robustness

The conditions of the experiment were designed to test the robustness of the established system intentionally altered [54], such as flow rate, mobile phase in organic percentage in all these varied conditions [55, 56]. The resolution between active pharma ingredients from impurities was not significantly affected and there was no significant influence on the time of retention, plate count and tailing factor. Hence this method was robust.

Table 5: Inter-day outcomes of accuracy of mitomycin and fluorouracil

Sample number % Related substances
Mitomycin Fluorouracil
Spiked impurities Total impurities

% Purity

(100-total imp)

Spiked impurities Total impurities

% Purity

(100-total imp)

1 5.06 0.71 99.29 5.13 0.69 99.31
2 5.07 0.75 99.25 5.17 0.67 99.33
3 5.08 0.73 99.27 5.19 0.68 99.32
4 5.03 0.74 99.26 5.15 0.64 99.34
5 5.04 0.72 99.28 5.16 0.63 99.37
6 5.06 0.74 99.26 5.14 0.68 99.32
Average 5.06 0.73 99.27 5.16 0.67 99.33
Std Dev 0.019 0.015 0.015 0.022 0.024 0.021
% RSD 0.37 2.01 0.01 0.42 3.65 0.02

(n=6)

A B

Fig. 6: Chromatogram of (A) LOD and (B) LOQ

Table 6: Robustness data of mitomycin and fluorouracil

Parameter name % RSD
Mitomycin Fluorouracil
Flow minus (0.8 ml/min) 0.64 0.72
Flow plus (1.2 ml/min) 0.38 0.68
Organic minus (-10%) 0.59 0.29
Organic plus (+10%) 0.52 0.64

RSD-Relative standard deviation; All the values are presented as mean±SD (n=3)

Degradation studies

Mitomycin and Fluorouracil sample was subjected into various forced degradation conditions [57-59] to effect partial degradation of the drug. Studies of forced degradation have carried out to find out that the method [60] is suitable for products of degradation [61-63]. In addition, the studies provide details about the conditions during which the drug is unstable in order that the measures are often taken during formulation to avoid potential instabilities [64, 65].

Acid degradation

1 ml of sample stock solution was taken into 10 ml volumetric flask and 1 ml of 1N HCl was added and left it for 15 min. After 15 min ml of 1N NaOH was added and volume was made up to the mark with diluents.

Alkali degradation

In 1 ml of sample stock solution (10 ml volumetric flask), 1 ml of 1N NaOH was added and leaft it for 15 min. After 15 min 1 ml of 1N HCl was added and made up to the mark with diluents.

Peroxide degradation

In 1 ml of sample stock solution in a 10 ml volumetric flask, 0.3 ml of 30% hydrogen peroxide was added and leaft it for 15 min. After 15 min, volume was made up to the mark with diluents.

Reduction degradation

1 ml of sample stock solution was transferred into 10 ml volumetric flask and 1 ml of 30% sodium bisulphate solution was added and left it for 15 min. After 15 min, volume was made up to the mark with diluents.

Thermal degradation

Take 1 ml of sample stock solution into 10 ml volumetric flask make up to the mark with diluents. After that keep the sample solution in an oven for 6 hr at 105 °C.

Degradation of hydrolysis

1 ml of sample stock solution was taken into 10 ml volumetric flask and 1 ml of HPLC grade water was added and left for 15 min. After 15 min, volume was made up to the mark with diluents.

Table 8: Forced degradation results of mitomycin and fluorouracil

Degradation condition Mitomycin Fluorouracil
% Assay % Deg % Assay % Deg
Acid degradation 86.8 13.2 85.2 14.8
Alkali degradation 86.3 13.7 84.4 15.6
Peroxide degradation 85.2 14.8 84.7 15.2
Reduction degradation 87.1 12.9 85.9 14.1
Thermal degradation 87.7 12.3 87.5 12.5
Hydrolysis degradation 88.4 11.6 87.1 12.9

CONCLUSION

We present in this article simple, selective, validated and well-defined stability that shows gradient RP-HPLC methodology for the quantitative determination of Mitomycin and Fluorouracil as well as their chromatographic impurities was well established. All the products of degradation formed during the stress conditions and the related impurities of active pharma ingredients are well separated and peaks were well resolved from each other and separate with an appropriate retention time, indicating that the proposed method to be fast, simple, feasible and affordable in RS condition. Therefore the developed method during stability tests, it can be used for routine analysis of production samples and to verify the quality of drug samples during stability studies.

ACKNOWLEDGEMENT

The author is thankful to the management of P B Siddhartha College of Arts and Science for their encouragement and Shree Icon Pharmaceutical Laboratories, Vijayawada for providing laboratory equipment.

FUNDING

Nil

AUTHORS CONTRIBUTIONS

All the authors have contributed equally.

CONFLICTS OF INTERESTS

Declared none

REFERENCES

  1. Clokie Martha RJ, Kropinski Andrew M. (Andrew Maitland Boleslaw) bacteriophages. Methods Protoc; 2009.

  2. Danshiitsoodol N, de Pinho CA, Matoba Y, Kumagai T, Sugiyama M. The mitomycin C (MMC)-binding protein from MMC-producing microorganisms protects from the lethal effect of bleomycin: crystallographic analysis to elucidate the binding mode of the antibiotic to the protein. J Mol Biol. 2006;360(2):398-408. doi: 10.1016/j.jmb.2006.05.017, PMID 16756991.

  3. Addison K, Braden JH, Cupp JE, emmert D, Hall LA, Hall T, Hess B, Kohn D, Kruse MT, McLendon K, McQueary J, Musa D, Olenik KL, Quinsey CA, Reynolds R, Servais C, Watters A, Wiedemann LA, Wilkins M, Wills M, Vogt NE. Update: guidelines for defining the legal health record for disclosure purposes. J AHIMA. 2005;76(8):64A-G. PMID 16245584.

  4. Greub G, Raoult D. Morphology of legionella pneumophila according to their location within Hartmanella vermiformis. Res Microbiol. 2003;154(9):619-21. doi: 10.1016/ j.resmic.2003.08.003, PMID 14596898.

  5. Burstein D, Amaro F, Zusman T, Lifshitz Z, Cohen O, Gilbert JA, Pupko T, Shuman HA, Segal G. Genomic analysis of 38 legionella species identifies large and diverse effector repertoires. Nat Genet. 2016;48(2):167-75. doi: 10.1038/ng.3481, PMID 26752266.

  6. Ashley B, Abu KY. Evolution of the arsenal of legionella pneumophila effectors to modulate protest. Hosts mBio. 2018;9:1313.

  7. Charpentier X, Kay E, Schneider D, Shuman HA. Antibiotics and UV radiation induce competence for natural transformation in legionella pneumophila. J Bacteriol. 2011;193(5):1114-21. doi: 10.1128/JB.01146-10, PMID 21169481.

  8. Lederberg J. The transformation of genetics by DNA: an anniversary celebration of Avery, MacLeod and McCarty (1944). Genetics. 1994;136(2):423-6. doi: 10.1093/genetics/136.2.423. PMID 8150273.

  9. Cohen SN, Chang AC, Hsu L. Nonchromosomal antibiotic resistance in bacteria: genetic transformation of Escherichia coli by R-factor DNA. Proc Natl Acad Sci U S A. 1972;69(8):2110-4. doi: 10.1073/pnas.69.8.2110, PMID 4559594.

  10. Houot B, Svetec N, Godoy Herrera R, Ferveur JF. Effect of laboratory acclimation on the variation of reproduction-related characters in drosophila melanogaster. J Exp Biol. 2010;213(13):2322-31. doi: 10.1242/jeb.041566, PMID 20543131.

  11. Troha K, Nagy P, Pivovar A, Lazzaro BP, Hartley PS, Buchon N. Nephrocytes remove microbiota-derived peptidoglycan from the systemic circulation to maintain immune homeostasis. Immunity. 2019;51(4):625-37.e3. doi: 10.1016/ j.immuni.2019.08.020, PMID 31564469.

  12. Brunet S, Verlhac MH. Positioning to get out of meiosis: the asymmetry of division. Hum Reprod Update. 2011;17(1):68-75. doi: 10.1093/humupd/dmq044, PMID 20833637.

  13. Brar GA, Yassour M, Friedman N, Regev A, Ingolia NT, Weissman JS. High-resolution view of the yeast meiotic program revealed by ribosome profiling. Science. 2012;335(6068):552-7. doi: 10.1126/science.1215110, PMID 22194413.

  14. Schewe MJ, Suzuki DT, Erasmus U. The genetic effects of mitomycin C in drosophila melanogaster. II. Induced meiotic recombination. Mutat Res. 1971;12(3):269-79. doi: 10.1016/0027-5107(71)90015-7, PMID 5563942.

  15. Durvasula A, Fulgione A, Gutaker RM, Alacakaptan SI, Flood PJ, Neto C, Tsuchimatsu T, Burbano HA, Pico FX, Alonso-Blanco C, Hancock AM. African genomes illuminate the early history and transition to selfing in Arabidopsis thaliana. Proc Natl Acad Sci USA. 2017;114(20):5213-8. doi: 10.1073/pnas.1616736114, PMID 28473417.

  16. Fulgione A, Hancock AM. Archaic lineages broaden our view on the history of arabidopsis thaliana. New Phytol. 2018;219(4):1194-8. doi: 10.1111/nph.15244, PMID 29862511.

  17. Kalatova B, Jesenska R, Hlinka D, Dudas M. Tripolar mitosis in human cells and embryos: occurrence, pathophysiology and medical implications. Acta Histochem. 2015;117(1):111-25. doi: 10.1016/j.acthis.2014.11.009, PMID 25554607.

  18. Wilkins AS, Holliday R. The evolution of meiosis from mitosis. Genetics. 2009;181(1):3-12. doi: 10.1534/genetics. 108.099762, PMID 19139151.

  19. Bleuyard JY, Gallego ME, Savigny F, White CI. Differing requirements for the Arabidopsis Rad51 paralogs in meiosis and DNA repair. Plant J. 2005;41(4):533-45. doi: 10.1111/j.1365-313X.2004.02318.x, PMID 15686518.

  20. Feng J, Shi W, Zhang S, Zhang Y. Identification of new compounds with high activity against stationary phase Borrelia burgdorferi from the NCI compound collection. Emerg Microbes Infect. 2015;4:e31. doi: 10.1038/emi.2015.31, PMID 26954881.

  21. Bijaya S, Brown Autumn V, Matluck Nicole E, Hu Linden T, Lewis K. Borrelia burgdorferi, the causative agent of lyme disease, foms drug-tolerant persister cells. Antimicrob Agents Chemother. 2015;59:00864-15.

  22. Rustagi T, Aslanian HR, Laine L. Treatment of refractory gastrointestinal strictures with mitomycin c: a systematic review. J Clin Gastroenterol. 2015;49(10):837-47. doi: 10.1097/MCG.0000000000000295, PMID 25626632.

  23. Abourne E, Clarke JC, Schlottmann PG, Evans JR. Mitomycin C versus5-fluorouracil for wound healing in glaucoma surgery. Cochrane Database Syst Rev. 2015;11:CD006259.

  24. Majmudar PA, Forstot SL, Dennis RF, Nirankari VS, Damiano RE, Brenart R, Epstein RJ, Damiano Richard E. Topical mitomycin-C for subepithelial fibrosis after refractive corneal surgery. Ophthalmology. 2000;107(1):89-94. doi: 10.1016/s0161-6420(99)00019-6, PMID 10647725.

  25. Cheng SM, Feng YF, Xu L, Li Y, Huang JH. Efficacy of mitomycin C in endoscopic dacryocystorhinostomy: a systematic review and meta-analysis. PLOS ONE. 2013;8(5):e62737. doi: 10.1371/journal.pone.0062737, PMID 23675423.

  26. Dimitriadis GK, Angelousi A, Weickert MO, Randeva HS, Kaltsas G, Grossman A. Paraneoplastic endocrine syndromes. Endocr Relat Cancer. 2017;24(6):R173-90. doi: 10.1530/ERC-17-0036, PMID 28341725.

  27. Emilsson L, Holme Ø, Bretthauer M, Cook NR, Buring JE, Løberg M, Adami HO, Sesso HD, Gaziano MJ, Kalager M. Systematic review with meta-analysis: the comparative effectiveness of aspirin vs. screening for colorectal cancer prevention. Aliment Pharmacol Ther. 2017;45(2):193-204. doi: 10.1111/apt.13857, PMID 27859394.

  28. Sultan R, Haider Z, Chawla TU. Diagnostic accuracy of CT scan in staging resectable esophageal cancer. J Pak Med Assoc. 2016;66(1):90-2. PMID 26712189.

  29. Stoita A, Penman ID, Williams DB. Review of screening for pancreatic cancer in high-risk individuals. World J Gastroenterol. 2011;17(19):2365-71. doi: 10.3748/wjg.v17.i19.2365, PMID 21633635.

  30. Burstein HJ, Temin S, Anderson H, Buchholz TA, Davidson NE, Gelmon KE, Giordano SH, Hudis CA, Rowden D, Solky AJ, Stearns V, Winer EP, Griggs JJ. Adjuvant endocrine therapy for women with hormone receptor-positive breast cancer: American society of clinical oncology clinical practice guideline focused update. J Clin Oncol. 2014;32(21):2255-69. doi: 10.1200/JCO.2013.54.2258, PMID 24868023.

  31. Luhn P, Walker J, Schiffman M, Zuna RE, Dunn ST, Gold MA, Smith K, Mathews C, Allen RA, Zhang R, Wang S, Wentzensen N. The role of co-factors in the progression from human papillomavirus infection to cervical cancer. Gynecol Oncol. 2013;128(2):265-70. doi: 10.1016/j.ygyno.2012.11.003, PMID 23146688.

  32. Askew DA, Mickan SM, Soyer HP, Wilkinson D. Effectiveness of 5-fluorouracil treatment for actinic keratosis-a systematic review of randomized controlled trials. Int J Dermatol. 2009;48(5):453-63. doi: 10.1111/j.1365-4632.2009.04045.x, PMID 19416373.

  33. Fusco N, Lopez G, Gianelli U. Basal cell carcinoma and seborrheic keratosis: when opposites attract. Int J Surg Pathol. 2015;23(6):464. doi: 10.1177/1066896915593802, PMID 26135529.

  34. Moore AY. Clinical applications for topical 5-fluorouracil in the treatment of dermatological disorders. J Dermatolog Treat. 2009;20(6):328-35. doi: 10.3109/09546630902789326, PMID 19954388.

  35. Peters GJ, van der wilt CL, van Moorsel CJ, Kroep JR, Bergman AM, Ackland SP. Basis for effective combination cancer chemotherapy with antimetabolites. Pharmacol Ther. 2000;87(2-3):227-53. doi: 10.1016/s0163-7258(00)00086-3, PMID 11008002.

  36. Peters GJ, Backus HH, Freemantle S, van Triest B, Codacci Pisanelli G, van der Wilt CL, Smid K, Lunec J, Calvert AH, Marsh S, McLeod HL, Bloemena E, Meijer S, Jansen G, van Groeningen CJ, Pinedo HM. Induction of thymidylate synthase as a 5-fluorouracil resistance mechanism. Biochim Biophys Acta. 2002;1587(2-3):194-205. doi: 10.1016/s0925-4439(02)00082-0, PMID 12084461.

  37. World Health Organization. World Health Organization model list of essential medicines. 21st list. Geneva: World Health Organization; 2019.

  38. Bethune G, Campbell J, Rocker A, Bell D, Rendon R, Merrimen J. Clinical and pathologic factors of prognostic significance in penile squamous cell carcinoma in a North American population. Urology. 2012;79(5):1092-7. doi: 10.1016/ j.urology.2011.12.048, PMID 22386252.

  39. Marey HM, Mandour SS, Ellakwa AF. Subscleral trabeculectomy with mitomycin-C versus ologen for treatment of glaucoma. J Ocul Pharmacol Ther. 2013;29(3):330-4. doi: 10.1089/jop.2012.0120, PMID 23113645.

  40. Aptel F, Weinreb RN, Chiquet C, Mansouri K. 24-h monitoring devices and nyctohemeral rhythms of intraocular pressure. Prog Retin Eye Res. 2016;55:108-48. doi: 10.1016/j.preteyeres.2016.07.002, PMID 27477112.

  41. Shalini K, Ilango K. Development, evaluation and RP-HPLC method for simultaneous estimation of quercetin, ellagic acid and kaempferol in a polyherbal formulation. Int J Appl Pharm. 2021;13:183-92.

  42. Girija KS, Kasimala BB, Anna VR. A new high-performance liquid chromatography method for the separation and simultaneous quantification of eptifibatide and its impurities in pharmaceutical injection formulation. Int J App Pharm. 2021;13:165-72. doi: 10.22159/ijap.2021v13i2.39895.

  43. V L N Balaji Gupta VLN. T, Venkateswara Rao B, Kishore Bbabu B. RP-HPLC (stability indicating) based assay method for the simultaneous estimation of Doravirine, tenofovir disoproxil fumarate and lamivudine. Int J Appl Pharm. 2021;13:153-9.

  44. Murali Krishnam Raju P, Venkata Narayana B, Shyamala P, Srinivasu K, Raju HSN D. A validated RP-HPLC method for impurity profiling of Sodium nitroprusside in injection dosage form. Int J Appl Pharm. 2021;13:160-9.

  45. Sanathoiba Singha L, Srinivasa Rao T. Development and validation of an RP-HPLC method for the determination of ulipristal acetate in pharmaceutical dosage form. Asian J Pharm Clin Res. 2021;14:83-9.

  46. Eluru A, Surendra Babu K. A study of method development, validation and forced degradation for simultaneous quantification of povidone-iodine and ornidazole in bulk and pharmaceutical dosage form by using RP-HPLC. IJPSR. 2021;12:1217-22.

  47. Malathi S, Arunadevi N. Development and validation of stability-indicating simultaneous estimation of metformin and alogliptin in tablets by high-performance thin-layer chromatography. Int J Pharm Pharm Sci. 2020;12:68-73.

  48. Palani Shanmugasundaram, Kamarapu SK, Shanmugasundaram P, Kamarapu SK. RP-HPLC method for the simultaneous estimation and validation of amlodipine besylate and atenolol in bulk and tablet dosage form in biorelevant dissolution medium (Fassif). Res J Pharm Technol. 2017;10(10):3379-85. doi: 10.5958/0974-360X.2017.00601.1.

  49. Malathi S, Devakumar D. Development and validation of rp-HPLC method for the estimation of escitalopram oxalate and flupentixol dihydrochloride in combined dosage form and plasma. Int J Pharm Pharm Sci. 2021;13:61-6.

  50. International Conference on Harmonization (ICH). Harmonized tripartite guideline validation of analytical procedures: text and methodology Q2. Vol. R1. Geneva: IFPMA. Switzerland; 2005.

  51. Malak Y, Al-Bathish AA, Gazy MK El-Jamal. Rp-HPLC and chemometric methods for the determination of two anti-diabetic mixtures; metformin hydrochloride-canagliflozin and metformin hydrochloride-gliclazide in their pharmaceutical formulation. Int J Pharm Pharm Sci. 2020;12:83-94.

  52. Senthil Rajan D, Muruganathan G, Shivkumar K, Ganesh T. Development and validation of hplc method for simultaneous quantification of vasicine, glycyrrhizin and piperine in poly herbal cough syrup. Int J Curr Pharm Res. 2020;12:15-9.

  53. Ravichandran V, Shalini S, Sundaram KM, Rajak H. Validation of analytical methods-strategies and importance. Int J Pharm Pharm Sci. 2010;2:18-22.

  54. Gadhvi MP, Bhandari A, Suhagia BN, Desai UH. Development and validation of RP-HPLC method for simultaneous estimation of atazanavir and ritonavir in their combined tablet dosage form. Res J Pharm Technol. 2013;6:200-3.

  55. Gunturu Raviteja, Kantipudi Rambabu. A study of development and validation of a method for simultaneous estimation of cidofovir and famciclovir using RP-HPLC. IJRPS 2020;11(4):7878-84. doi: 10.26452/ijrps.v11i4.4673.

  56. Vijayakumari M, reddy Ch B. Stability indicating validated hplc method for the determination of zanubrutinib in bulk and pharmaceutical dosage form. Asian J Pharm Clin Res. 2020;13:159-62.

  57. Mohinish Sahai M, N Devanna N. Validated stability-indicating HPLC approach for quantifying tricholine citrate and cyproheptadine simultaneously in syrup forms. Int J App Pharm. 2021;13:207-13. doi: 10.22159/ijap.2021v13i3.40871.

  58. kumar AS, Manidipa Debnath, Seshagiri Rao JVLN, Gowri Sankar D. Development and validation of a sensitive RP-HPLC method for simultaneous estimation of rosuvastatin and fenofibrate in tablet dosage form by using PDA detector in gradient mode. Res J Pharm Tech 2016;9:549-54.

  59. Raziq A. Syed Umer Jan. Relative comparison of stability and degradation of methylcobalamine tablets of different brands at different storage settings. Int J Appl Pharm. 2021;13:171-5.

  60. Shivani CP, Maheshwari DG. Development and validation of UV spectrometric and HPLC method for estimation of escitalopram oxalate and flupentixol dihydrochloride in combined dosage form. AJPTI. 2016;4:59-70.

  61. Rajakumari R, Sreenivasa Rao S. Stress degradation studies and development of a validated RP-HPLC method for determination of tiagabine in presence of its degradation products. Int J Pharm Pharm Sci. 2016;8:230-6.

  62. Charu Pandya P, Sadhana Rajput J. Development and validation of stability-indicating method RP-HPLC method of acotiamide. Int J Pharm Pharm Sci. 2018;10:1-8.

  63. Gomathy S, Narenderan ST, Meyyanathan SN, Gowramma B. Development and validation of HPLC method for the simultaneous estimation of apigenin and luteolin in commercial formulation. Crit Rev. 2020;7:4785-90.

  64. Athavia BA, Dedania ZR, Dedania RR, Swamy SMV, Prajapati CB. Stability indicating HPLC method for determination of vilazodone hydrochloride. Int J Curr Pharm Sci 2017;9(4):20975. doi: 10.22159/ijcpr.2017v9i4.20975.

  65. Swati K, Abhishek P, Sushank S, Bothiraja C, Atmaram P. High-performance liquid chromatography for the simultaneous estimation of cefoperazone and sulbactam in rat plasma and its importance in therapeutic drug monitoring. Int J Pharm Pharm Sci. 2020;12:92-7.