Distribution of CYP2D6 and CYP2C19 gene polymorphisms in Han and Uygur populations with breast cancer in Xinjiang, China

Muzhapaer Abudukeremu; Aisikaer Ayoufu; Adila Tuerhong; Xuelaiti Paizula; Jiang-Hua Ou

doi:10.1515/biol-2022-0728

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Distribution of CYP2D6 and CYP2C19 gene polymorphisms in Han and Uygur populations with breast cancer in Xinjiang, China

Muzhapaer Abudukeremu , Aisikaer Ayoufu , Adila Tuerhong , Xuelaiti Paizula und Jiang-Hua Ou

Veröffentlicht/Copyright: 20. April 2024

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Abstract

The aim of this study was to investigate the frequency distribution of the cytochrome P450 (CYP450) enzymes, CYP2D6 and CYP2C19, and the form of tamoxifen metabolisation in premenopausal patients with breast cancer in the Han and Uygur ethnic groups of Xinjiang to guide rational clinical drug use. A total of 125 Han patients and 121 Uygur patients with premenopausal hormone-receptor-positive breast cancer treated at the Xinjiang Uygur Autonomous Region Cancer Hospital between 1 June 2011 and 1 December 2013 were selected. The common mutation sites in CYP450 were analysed using TaqMan® minor groove binder technology. Genetic testing was performed to determine other metabolic types of tamoxifen, and the genotypes and metabolic types were compared using a Chi-squared test. Between the Han and Uygur groups, there were significant differences in the frequencies of the CYP2D6 (*10/*10) and CYP2C19 (*1/*1) genotypes, with P-values of 0.002 and 0.015, respectively. Genotypes of CYP2D6 (*1/*1), CYP2D6 (*1/*5), CYP2D6 (*5/*5), CYP2D6 (*5/*10) and CYP2C19 (*3/*3) were expressed in the two patient groups, and the difference was not statistically significant (P > 0.05). In the Han patients, the proportions of extensive, intermediate and poor metabolisers of tamoxifen were 72, 24 and 4%, respectively, whereas those in the Uygur patients were 76.9, 17.4 and 5.7%, respectively, with no significant difference (P > 0.05). In conclusion, There were partial differences in the CYP2D6 and CYP2C19 gene polymorphisms of CYP450 between the Han and Uygur patients with premenopausal breast cancer, but there was no significant difference between the CYP2D6 and CYP2C19 phenotypes. Further research is needed to determine the relationship between the enzyme genetic differences of CYP450 and the pharmacokinetics and efficacy of tamoxifen. Although there were some differences in genotypes, these did not result in differences in the predicted tamoxifen metabolisation phenotype between the Han and Uygur patients with breast cancer. Therefore, the doses should be adjusted according to the individual genotype data.

Graphical abstract

Keywords: cytochrome P450 enzymes; tamoxifen; drug metabolism; oestrogen receptor; CYP2D6 ; CYP2C19 ; gene polymorphism

1 Introduction

The Chinese population is known for its rich genetic diversity, with significant inter-/intra-ethnic variation in the frequency distribution of germline variants. Understanding this variation is critical for accurately characterising disease risk and developing tailored medical treatments [1]. The results of Wang et al.’s research demonstrated that ERCC1/XPF genetic polymorphisms in the Uygur population predispose individuals to breast cancer [2]. Cytochrome P450 (CYP450) enzymes play an important role in the metabolic process of organisms [3]. Among them, CYP2D is located on chromosome 22 and comprises CYP2D6, CYP2D7P and CYP2D8P, which mainly encode and express enzymatically active proteins involved in metabolic processes (CYP2D7P and CYP2D8P do not code for expressed proteins).

A previous study [4] revealed that poor CYP2D6 metabolisers are likely to experience an impaired response to tamoxifen, and ultrarapid CYP2D6 metabolisers are at risk of an exaggerated response with pronounced adverse effects. During drug metabolism, CYP2D6 not only exhibits stereoselectivity for drugs but also ethnic and individual differences. The main reason for this difference pertains to CYP2D6 genetic polymorphism. Different gene alleles can cause variations in the number and activity of enzymes, meaning drug metabolism presents individual differences [5]. Polymorphism of the CYP2D gene can also affect an individual’s adverse reactions to certain drugs. For example, adverse reactions to certain antidepressants and painkillers are related to the polymorphism of the CYP2D6 gene. By detecting CYP2D gene polymorphisms, whether an individual will experience adverse reactions can be predicted and drug doses can be adjusted or alternative treatment plans selected accordingly. Similarly, by studying CYP2D6 gene polymorphisms, an individual’s metabolism rate of certain drugs can be predicted and personalised treatment plans subsequently developed [6].

Tamoxifen, an oestrogen-receptor modulator, plays a key role in the adjuvant and palliative treatment of breast cancer. It is clinically significant in reducing the mortality of patients with oestrogen-dependent breast cancer and improving their quality of life [7]. The difference in the expression of drug-metabolising enzymes is a determinant of individual efficacy and side effects, and the genetic difference in CYP450 enzymes significantly impacts the effect of antitumor drugs [8].

Clinically, approximately 50% of patients with hormone-dependent breast cancer benefit from tamoxifen [9]; this difference in efficacy may relate to ethnic and individual differences in CYP2D6 genes and CYP2C19 genotypes [6,7]. Studies have demonstrated that the CYP2D6*10/*10 genotype is associated with the curative effect of tamoxifen in breast cancer [10]. A meta-analysis revealed that the concentration of endoxifen was significantly higher in patients with CYP2D6*10 (the C/C genotype) than in patients with CYP2D6*10 (the CT/TT genotype) [11]. However, studies have identified no correlation between the CYP2D6*10 genotype and the survival rate of patients with breast cancer receiving tamoxifen therapy [12]. It is reported that the deletion of CYP2D6*5 can lead to the loss of the entire CYP2D6 metabolic function.

Based on their functions, CYP2D6 enzymes can be divided into four phenotypes: ultrarapid, extensive, intermediate and poor metabolisers [13]. Clinical studies have revealed differences in the efficacy of tamoxifen that may relate to ethnic and individual differences in the CYP2D6 gene and CYP2C19 (rs3758581) genotype [6,7]. Moreover, Wei et al. confirmed that CYP2C19 polymorphisms do not significantly impact tamoxifen metabolism or breast cancer relapse [14].

In summary, studying the polymorphism of the CYP2D gene can support personalised drug treatment and help us better understand human genetics and biology.

We hypothesised that the polymorphisms of the CYP2D6 and CYP2C19 genes can affect the efficiency of tamoxifen in the treatment of patients with breast cancer. Thus, the genotypes and metabolic types of two different ethnic groups were determined to explore the ethnic differences between CYP2D6 and CYP2C19 genetic polymorphisms in CYP450 to improve the gene pool of various ethnic groups and provide an important basis for personalised medicine.

2 Materials and methods

2.1 Basic patient information

A total of 125 Han and 121 Uygur premenopausal patients with breast cancer admitted to the Department of Breast Surgery at the Xinjiang Uygur Autonomous Region Cancer Hospital between 1 June 2011 and 1 December 2013 were selected as the research participants. All patients were confirmed by immunohistochemistry as hormone-receptor positive (oestrogen receptor+ and [or] progesterone receptor+), with a pathological diagnosis of invasive breast cancer. The patients’ ages ranged from 31 to 53 years, with a median age of 42. Based on the American Joint Committee on Cancer’s seventh edition of the tumour-node-metastasis Classification of Malignant Tumours clinical staging criteria for breast cancer, there were 138 cases of Stage I cancer and 108 cases of Stage II cancer [15].

Table 1 presents the patients’ basic information. All patients had taken or were about to take tamoxifen. The patients’ body mass indexes were within the normal range, and their blood pressure, routine blood and urine tests, liver and kidney functions and electrocardiograms were all normal. There was no statistical difference in the above indicators between the two patient groups, and they were comparable. None of the patients had a history of taking psychiatric drugs or other drugs that can affect the metabolisation of tamoxifen, and all patients were informed that the aim of this investigation is to explore the relationship between CYP2D6 and CYP2C19 gene polymorphisms and the form of tamoxifen metabolisation in premenopausal patients with breast cancer in the Han and Uygur ethnic groups of Xinjiang before the test.

Table 1

Basic information of patients

Ethnic	Han ethnic	Uygur ethnic
Patients number	125	121
Median age, years	40	43
Breast cancer Stage I	72	66
Breast cancer Stage II	53	55
Lymph node positive, %	38	42
Tumor size >2 cm, %	34	39
BMI, median (IQR), kg/m²	26 (22–29)	27 (22–29)
Postmenopausal, %	100	100
Centrally assessed tumour features
ER absent, %	2	1
ER absent, %	5	7

BMI: body mass index; IQR: the interquartile range; ER: estrogen.

This study was approved by the Medical Ethics Committee of the Xinjiang Uygur Autonomous Region Cancer Hospital, and all the participants provided signed informed consent.

Informed consent: Informed consent has been obtained from all individuals included in this study.
Ethical approval: The research related to human use has been complied with all the relevant national regulations, institutional policies and in accordance with the tenets of the Helsinki Declaration, and has been approved by the Ethics Committee of Affiliated Tumor Hospital, Xinjiang Medical University.

2.2 Reagents and materials

Tiangen Biochemical Technology (Beijing, China) provided a blood genomic deoxyribonucleic acid (DNA) extraction kit. A TaqMan^® original magnification probe (TaqMan^® Single Nucleotide Polymorphism Genotyping Assays, Thermo Fisher Scientific, Waltham, MA, USA; 4362691) and a TaqMan^® Genotyping Master Mix were purchased from Applied Biosystems. A GeneAmp™ polymerase chain reaction system (PCR System 9700; Applied Biosystems, Foster City, CA, USA) and a 7900HT Fast Real-Time PCR System with supporting software (version 2.3; Applied Biosystems) from Applied Biosystems were also used to complete the experiment.

3 Experimental method

Blood genomic DNA extraction was performed in accordance with the instructions for the Tiangen blood genomic DNA extraction kit, and the purity of the samples was qualified using PCR. All amplification reaction systems were 50 μL and included the following: Taq DNA polymerase (1.25 U); magnesium chloride (100 μmol/L); deoxyadenosine triphosphate, deoxycytidine triphosphate, deoxyguanosine triphosphate and deoxythymidine triphosphate (10 μmol/L); and genomic DNA (4 μL). The upstream and downstream primers were 20 μmol/L each. Pre-denaturation was conducted at 94°C for 5 min followed by denaturation at 94°C for 45 s (the annealing temperatures were 55 and 58°C for CYP2C19*2 and CYP2C19*3, respectively, and 60°C for CYP2D6*10). There was an extension at 72°C for 1 min, with 35 cycles, followed by a final extension at 72°C for 7 min. The test was repeated three times.

Following this, a probe was added to the reaction system. The following reagents were used: Master Mix (3.1 μL), 10× probe (0.16 μL), double-distilled water (1.94 μL) and the DNA sample to be tested (1.2 μL) (if it was a standard, 1 μL was added), up to a total of 6.4 μL. The liquid was added to the sample, and the sample was then mixed in a vortex for 5 s. The test was repeated five times.

Finally, the corresponding gene loci were read, and the metabolic type was determined using the 7900HT system software (version 2.3). The genotype of CYP2C19 and CYP2D6 was also confirmed using a gene microarray and was divided into three metabolic groups: weak, intermediate and strong. The metabolic phenotype of CYP2D6 was divided into four types: ultrarapid metabolisers, extensive metabolisers, intermediate metabolisers and poor metabolisers [10]. The sample size was determined using a sample calculation formula known as Andrew Fisher’s formula. The confidence level was 80%, and the Z score was 1.44.

3.1 Statistical methods

The experimental data were analysed using SPSS 17.0 software (International Business Machine, Armonk, NY, USA) and were described by rate or composition ratio (%). The Chi-squared (χ ²) test and Bonferroni correction were used to compare the differences in the distribution of genes and metabolic types between the Han and Uygur patients, with a test level set at α = 0.05.

4 Results

4.1 Genotype frequencies of CYP2D6 and CYP2C19

Table 2 summarises the genotype frequencies of CYP2D6 and CYP2C19 in the Han and Uygur premenopausal patients with hormone-receptor-positive breast cancer. It was clear that the differences between the two groups of patients in the genotype frequencies of CYP2D6 (*10/*10) and CYP2C19 (*1/*1) were statistically significant. Furthermore, the frequency distribution of genotypes at each locus was consistent with the Hardy–Weinberg equilibrium test (P > 0.05); therefore, it can be assumed that the control samples selected for this study were representative of the same population (Table 2). Table 3 presents the allele frequencies of CYP2D6 and CYP2C19.

Table 2

Frequency of CYP2D6 and CYP2C19 genotyping in the two patient groups

		Han ethnic group (n = 125)		Uygur ethnic group (n = 121)		χ ² value	P value
Gene		Actual frequency in patients	Observed frequency	Actual frequency in patients	Observed frequency	χ ² value	P value
CYP2D6						1.758	0.415
	1/1	24	0.19	30	0.25	1.123	0.289
	1/5	0	0	0	0	—	—
	5/5	0	0	0	0	—	—
	1/10	60	0.48	72	0.6	3.272	0.07
	10/10	41	0.33	19	0.16	9.746	0.002
	5/10	0	0	0	0	—	—
CYP2C19						0.001	0.999
	1/1	42	0.34	24	0.2	5.935	0.015
	1/2	48	0.38	60	0.5	3.124	0.077
	2/2	18	0.14	27	0.22	2.576	0.108
	1/3	6	0.05	6	0.05	0.003	0.954
	3/3	0	0	0	0	—	—
	2/3	11	0.09	4	0.03	3.241	0.072

Table 3

Allele frequencies of CYP2D6 and CYP2C19 in the two groups

Gene	Allelic genes	Allele frequency		P value
Gene	Allelic genes	Han ethnic group (n = 125)	Uygur ethnic group (n = 121)	P value
CYP2D6	*1	0.432	0.545	0.009
	*5	0.000	0.000	—
	*10	0.568	0.455	0.012
CYP2C19	*1	0.552	0.471	0.073
	*2	0.380	0.488	0.016
	*3	0.068	0.041	0.194

4.2 Comparison of metabolic types in the two groups of Han and Uygur patients

As detailed in Table 4, both groups had a higher proportion of patients with a fast metabolism type and a lower proportion with a slow metabolism type. There was no significant difference in metabolic type between the two groups (χ ² = 1.906, P > 0.05).

Table 4

Comparison of metabolic types between the two groups

Metabolic type	Han ethnic group (%)	Uygur ethnic group (%)	Total (%)
Fast metabolic type (CYP2D6*4)	90 (72.0)	93 (76.9)	183 (74.4)
Intermediate metabolic type (CYP2D610/10)	30 (24.0)	21 (17.4)	51 (20.7)
Slow metabolic type (CYP2C192/2, 2/3 and 3/3)	5 (4.0)	7 (5.7)	12 (4.9)
Note: χ ² = 1.906, P = 0.386

5 Discussion

The results of the present study indicate that no CYP2D6*5 allele was identified in the 125 Han patients and 121 Uygur patients with positive premenopausal hormone receptors. This indicates that, to a certain extent, the frequency of this base is low in the Han and Uygur populations of Xinjiang. However, whether its deletion will lead to changes in the metabolic function of the entire CYP2D6 gene requires clarification via joint research in multiple regions. According to previous reports, the inactive allele, CYP2D6*4, is responsible for 70–90% of the slow metabolic phenotype, with a high incidence of 20–25% in the white population and only <1% in the Asian population [16]. Studies have revealed differences in the frequency of slow and intermediate metabolic alleles among different ethnic groups. Two types of poor metabolisers, those carrying two slow-metabolising alleles, are found in 6–10% of European populations, which is higher than the incidence in East Asian populations (<1%) [17].

However, the frequency of the intermediate metabolic allele, CYP2D6*10, among the East Asian population is significantly higher than among the European population (0.38 in Japan, 0.45 in South Korea, 0.56 in China and <0.02 in Europe) [18]. Moreover, the incidence of poor metabolisers is not high. According to reports, white Europeans (e.g., in Switzerland and Spain) have the highest incidence rate (7%), whereas African American (1.8%) and Chinese (1%) populations have the lowest. In addition, the literature reveals that the incidence of the CYP2D6*10 allele is 40.8% in the Japanese population and 5% in the white population [19]. In Chinese people, CYP2D6*10 is the most commonly mutated allele of CYP2D6 [20]. The results of this study suggest that CYP2D6 and CYP2C19 genotypes need to be tested in patients with breast cancer to allow physicians to tailor the treatment according to these genotypes, thereby reducing mortality rates and personalising the treatment of patients with breast cancer.

In the present study, the allele frequencies of CYP2D6*10 in the Han and Uygur patients were 0.568 and 0.455, respectively (P = 0.012), which is consistent with results reported both at home and abroad. The mutation of this gene has led to a decrease in enzyme activity. Among the Xinjiang Uygur patients with hormone-receptor-positive breast cancer, the frequency of the CYP2D6 intermediate metaboliser (*10/*10) was 16%, which was significantly lower than the frequency of 33% in the Han patients (P < 0.05).

The polymorphisms of CYP2C19 are different in China and other regions in Asia [18]. The two major mutations of CYP2C19 in the Chinese population are CYP2C19*2 and CYP2C19*3. Extensive metabolisers (*1/*1) and poor metabolisers (*2/*2, *2/*3 and *3/*3) are two phenotypes of CYP2C19 polymorphisms in this population. In Xinjiang, the CYP2C19 genotypes of the Han and Uygur populations have significant differences in ethnic distribution. Among the Uygur population, the CYP2C19 genotypes are significantly more metabolised (CYP2C19*1/*1) than in the Han population. Poor metabolisers (CYP2C19*2/*2, *2/*3 and *3/*3) are also significantly less widespread in the Uygur population than in the Han population [21].

The present study demonstrated that the allele frequencies of CYP2C19*2 in the Han and Uygur patients were 0.38 and 0.488, respectively, whereas the allele frequencies of CYP2C19*3 were 0.068 and 0.041, respectively, and neither CYP2C19*2 nor CYP2C19*3 exhibited racial differences. Bae et al. revealed that the genetic polymorphisms of CYP2D6 significantly affect metoclopramide pharmacokinetics [22]. In the two groups, more patients (74.4%) belonged to the fast metabolism type. Among these patients, extensive, intermediate and poor metabolisers accounted for 68.2, 17.1 and 7.3%, respectively, and there was no significant racial difference between the two groups of metabolisers. Treatment with tamoxifen was ineffective for the patients with poor metabolisers; in such cases, it may be reasonable to increase the drug dose or perform ovarian castration [23].

This study has a number of limitations. First, the size of the Uygur group was small, meaning the conclusions, especially those for the Uygur population, need to be verified using a larger sample size. Additionally, the conclusions should be interpreted with caution since the population was exclusively from Xinjiang, and generalisability to other populations was not established. Finally, the relationship between patients’ CYP2D6 and CYP2C19 genotypes, metabolic types and the long-term efficacy of tamoxifen requires further investigation to provide important information for personalised treatment, improve the safety and efficacy of treatment with tamoxifen and increase the survival rate of patients on a theoretical basis [24]. In future follow-up experiments, we will further expand the research scope and continue to verify the conclusions of this article.

Recent research has shed light on the complex patterns of germline variant frequency in the Chinese population [25]. Notably, significant variation has been observed both between different ethnic groups and within individual ethnic groups. These findings highlight the importance of considering population-specific genetic factors in precision medicine [26].

The present study found no significant racial differences in terms of CYP2D6*5, CYP2C19*1, CYP2C19*3 and tamoxifen metabolism types among Han and Uygur premenopausal patients with breast cancer in Xinjiang. The frequency of the CYP2D6*10 allele was low in the Uygur patients. However, further research on the relationship between this gene and its metabolic type is needed to guide the rational clinical use of tamoxifen.

Funding information: The study was funded by the Detection and clinical study of P450 2D6 polymorphism in menopausal breast cancer between Han and Uygur: 2011211B53.
Author contributions: Muzhapaer Abudukeremu conceived of the study, collected the data and wrote the article. Adila Tuerhong participated in its design and coordination, performed the experiment. Xuelaiti Paizula performed the statistical analysis and Aisikaer Ayoufu supervised the design and implementation of the experiment and wrote the article. Jiang-Hua Ou provided the with the sample and collected data.
Conflict of interest: Authors state no conflict of interest.
Data availability statement: The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

[1] Brito LF, Kijas JW, Ventura RV. Genetic diversity and signatures of selection in various goat breeds revealed by genome-wide SNP markers. BMC Genomics. 2017;18:1–20.10.1186/s12864-017-3610-0Suche in Google Scholar PubMed PubMed Central

[2] Wang L, Wu Z, Zou C. Genetic diversity and signatures of selection in the mito-gynogenetic olive flounder Paralichthys olivaceus revealed by genome-wide SNP markers. Aquaculture. 2022;553:738062.10.1016/j.aquaculture.2022.738062Suche in Google Scholar

[3] Niwa T, Yasuda S, Yamamoto Y, Murakami M, Ishii R. Contribution of the human cytochrome P450 2C subfamily to the metabolism of and the interactions with endogenous compounds including steroid hormones. Pharmazie. 2021 Dec;76(12):611–3.Suche in Google Scholar

[4] Li H, Zhou L, Ma J, Zhu Y, Fan J, Li N, et al. Distribution and susceptibility of ERCC1/XPF gene polymorphisms in Han and Uygur women with breast cancer in Xinjiang, China. Cancer Med. 2020 Dec;9(24):9571–80.10.1002/cam4.3547Suche in Google Scholar PubMed PubMed Central

[5] He W, Eriksson M, Eliasson E, Grassmann F, Bäcklund M, Gabrielson M, et al. CYP2D6 genotype predicts tamoxifen discontinuation and drug response: a secondary analysis of the KARISMA trial. Ann Oncol. 2021 Oct;32(10):1286–93.10.1016/j.annonc.2021.07.005Suche in Google Scholar PubMed

[6] van der Lee M, Allard WG, Vossen RHAM. Toward predicting CYP2D6-mediated variable drug response from CYP2D6 gene sequencing data. Sci Transl Med. 2021 Jul;13(603):eabf3637.10.1126/scitranslmed.abf3637Suche in Google Scholar PubMed

[7] Zanger UM, Schwab M. Cytochrome P450 enzymes in drug metabolism: regulation of gene expression, enzyme activities, and impact of genetic variation. Pharmacol Ther. 2013 Apr;138(1):103–41.10.1016/j.pharmthera.2012.12.007Suche in Google Scholar PubMed

[8] Yetkin D, Balli E, Ayaz F. Antiproliferative activity of tamoxifen, vitamin D3 and their concomitant treatment. EXCLI J. 2021 Sep;20:1394–406.Suche in Google Scholar

[9] Song Y, Fang L, Han JM, Cao YY. Research progress on the effect of CYP450 gene polymorphism on antitumor drugs. J Pharmacoepidemiol. 2014;23(04):48–53.Suche in Google Scholar

[10] Ahern TP, Hertz DL, Damkier P, Ejlertsen B, Hamilton-Dutoit SJ, Rae JM, et al. Cytochrome P-450 2D6 (CYP2D6) genotype and breast cancer recurrence in tamoxifen-treated patients: evaluating the importance of loss of heterozygosity. Am J Epidemiol. 2017 Jan;185(2):75–85.10.1093/aje/kww178Suche in Google Scholar PubMed PubMed Central

[11] Cronin-Fenton DP, Damkier P. Tamoxifen and CYP2D6: a controversy in pharmacogenetics. Adv Pharmacol. 2018;83:65–91.10.1016/bs.apha.2018.03.001Suche in Google Scholar PubMed

[12] Chen H, Cai HM, Feng DH, Zhao GR. Effects of CYP2C9 and CYP2C19 gene polymorphisms on drug metabolism and research progress of individualized medicine. China Drug App Monit. 2014;11(04):240–4.Suche in Google Scholar

[13] Bai Y, Wu HW, Zhang YH. Effects of CYP2D6*10 polymorphism on tamoxifen pharmacokinetics in patients with breast cancer in Asia: a meta-analysis. Cancer Chemother Pharmacol. 2019;83(1):71–9.10.1007/s00280-018-3703-8Suche in Google Scholar PubMed

[14] Wei Y, Xu Z. Correlation study between CYP2D6*10 genotype and survival rate of breast cancer patients receiving tamoxifen. Anhui Med. 2014;18(05):951–4.Suche in Google Scholar

[15] Chen Y, Zhou D, Tang W. Physiologically based pharmacokinetic modeling to evaluate the systemic exposure of gefitinib in CYP2D6 ultrarapid metabolizers and extensive metabolizers. J Clin Pharmacol. 2018 Apr;58(4):485–93.10.1002/jcph.1036Suche in Google Scholar PubMed

[16] Sanchez-Spitman AB, Swen JJ, Dezentjé VO. Effect of CYP2C19 genotypes on tamoxifen metabolism and early-breast cancer relapse. Sci Rep. 2021 Jan;11(1):415.10.1038/s41598-020-79972-xSuche in Google Scholar PubMed PubMed Central

[17] Sinn HP, Helmchen B, Wittekind CH. TNM classification of breast cancer: changes and comments on the 7th edition. Pathologe. 2010;31(5):361–6.10.1007/s00292-010-1307-0Suche in Google Scholar PubMed

[18] Xu TX, Yang XY, Zhao K, Zhang XC, You XF. Progress on research for genetic polymorphism of drug metabolic enzyme cytochrome P450 2D6. Chin J Antibiotics. 2009;34(7):385–91.Suche in Google Scholar

[19] Coate L, Cuffe S, Horgan A, Hung RJ, Christiani D, Liu G. Germline genetic variation, cancer outcome, and pharmacogenetics. J Clin Oncol. 2010 Sep;28(26):4029–37.10.1200/JCO.2009.27.2336Suche in Google Scholar PubMed

[20] Hoskins JM, Carey LA, McLeod HL. CYP2D6 and tamoxifen: DNA matters in breast cancer. Nat Rev Cancer. 2009 Aug;9(8):576–86.10.1038/nrc2683Suche in Google Scholar PubMed

[21] Ozawa S, Soyama A, Saeki M, Fukushima-Uesaka H, Itoda M, Koyano S, et al. Ethnic differences in genetic polymorphisms of CYP2D6, CYP2C19, CYP3As and MDR1/ABCB1. Drug Metab Pharmacokinet. 2004 Apr;19(2):83–95.10.2133/dmpk.19.83Suche in Google Scholar PubMed

[22] Bae JW, Oh KY, Yoon SJ, Shin HB, Jung EH, Cho CK, et al. Effects of CYP2D6 genetic polymorphism on the pharmacokinetics of metoclopramide. Arch Pharm Res. 2020 Nov;43(11):1207–13.10.1007/s12272-020-01293-4Suche in Google Scholar PubMed

[23] Zhang AL, Yang LP, Hu X. Combined analysis of the incidence of CYP2C19 alleles in healthy Asian population. Chin J Evid-Based Med. 2013;13(12):1431–9.Suche in Google Scholar

[24] Yu M, Xie X, Ma YT, Yang YN, Li XM, Li XM, et al. Investigation on the distribution of CYP2C19 gene polymorphisms in Xinjiang Han and Uygur populations. J Xinjiang Med Univ. 2014;37(04):423–6.Suche in Google Scholar

[25] Holý P, Hlaváč V, Ostašov P. Germline and somatic genetic variability of oxysterol-related genes in breast cancer patients with early disease of the luminal subtype. Biochimie. 2022;199:158–69.10.1016/j.biochi.2022.04.015Suche in Google Scholar PubMed

[26] Dong TW, Wang S, Yang J, Zhang ZG. Advances in CYP2D6 gene polymorphism and pharmacogenomics research. J Cardiovas Rehabil Med. 2014;23(3):343–6.Suche in Google Scholar

Received: 2022-12-01

Revised: 2023-08-18

Accepted: 2023-08-24

Published Online: 2024-04-20

This work is licensed under the Creative Commons Attribution 4.0 International License.

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https://doi.org/10.1515/biol-2022-0728

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cytochrome P450 enzymes; tamoxifen; drug metabolism; oestrogen receptor; CYP2D6; CYP2C19; gene polymorphism

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