Skip to main content
Asian Pacific Journal of Cancer Prevention : APJCP logoLink to Asian Pacific Journal of Cancer Prevention : APJCP
. 2020 Sep;21(9):2667–2672. doi: 10.31557/APJCP.2020.21.9.2667

Association of ApaI and TaqI polymorphisms in VDR Gene with Breast Cancer

Amir Hassan Matini 1, Negar Jafarian-Dehkordi 1,*, Banafshe Bahmani 1, Mehran Sharifi 2, Danial Jahantigh 3, Tahereh Mazoochi 1,*
PMCID: PMC7779446  PMID: 32986367

Abstract

Background:

Vitamin D inhibits cell proliferation via the vitamin D receptor (VDR), which may affect breast cancer risk. This study aimed to investigate the association of ApaI and TaqI polymorphisms of the VDR gene with breast cancer risk which followed by stratified analysis.

Materials and methods:

A case-control study was conducted on 150 breast cancer patients and 150 healthy controls. VDR ApaI and TaqI genotyping were performed by PCR-RFLP. Some demographic and pathologic features of patients were extracted from their archived files and then were analyzed by genotypes distributions.

Results:

For ApaI polymorphism, our data showed a significant difference between the patient and healthy groups for mutant allele carriers compared with those with AA genotype. Besides, statistical analysis showed that there was a significant association between the C allele and the increased risk of breast cancer. For TaqI polymorphism, statistical analysis revealed that there was a significant association between CC genotype and increased risk of breast cancer. Also, there was a significant association between the C allele and the increased risk of breast cancer. In a preliminary study, stratified analysis based on the size of tumor and lymph node metastasis revealed no significant association between two ApaI and TaqI variations and these parameters.

Conclusions:

Based on our results, the VDR ApaI and TaqI variations could be considered as genetic risk factors for breast cancer. However, further studies with a larger sample size are required to obtain more accurate outcomes, especially in stratified analysis.

Key Words: Breast cancer, vitamin D receptor, genetic polymorphism, ApaI, TaqI

Introduction

Breast cancer is the major cause of death in women worldwide. It is responsible for 16% of all and 22% of invasive female cancers. This cancer is diagnosed as the most frequent cancer among Iranian women (Parkin et al., 2003; Taghavi et al., 2012). Variations in some genes which involved in growth, differentiation, and apoptosis, may influence breast cancer susceptibility (Vogelstein and Kinzler, 2004). Although a specific gene responsible for the familial breast cancer is not discovered yet mutations in some suppressor genes such as BRCA1, BRCA2, ATM, PTEN, TP53, BRIP1, PALB2, NBS1, RAD50, MSH2, MLH, and CHEK2 are occurred in about half of the familial breast cancer (Walsh and King, 2007).

Apoptotic and anti-proliferative impacts of vitamin D against different malignancies such as breast cancer have been previously studied (Crew, 2013). Many studies investigated the effects of vitamin D on breast cancer and confirmed the protective role of vitamin D in this disease (Stoica et al., 1999; Jensen et al., 2001; Crew, 2013). The effects of vitamin D, 1α, 25-dihydroxyvitamin D3 (1,25(OH)2D3), are through the vitamin D receptor (VDR) which expressed in most cell types, enclosing breast tissues (Townsend et al., 2005). The active form of vitamin D regulates growth, differentiation, and apoptosis that is mediated by the vitamin D receptor (VDR) (Evans, 1988). VDR is a member of the nuclear receptor family of steroid hormones that acts as a transcriptional regulatory factor in most tissues (Jurutka et al., 2001). Also, it is reported that vitamin D receptors can play an important role in the pathogenesis of breast cancer (Shen and Brown, 2003; Swami et al., 2003). Genetic variants in the VDR gene may decrease the levels of VDR expression and increase the risk of breast tumors (Lopes et al., 2010).

VDR gene is located in chromosome 12 (12q13.11) which comprised 11 exons with some common single nucleotide polymorphisms such as ApaI and TaqI. The ApaI variable site (rs7975232; g.48238837C>A) is located in intron 8 of the VDR gene and the TaqI (rs731236; g.48238757A>G) variation is also located in the same intron. We focused on the distribution of VDR ApaI and TaqI single nucleotide polymorphisms (SNPs) in Isfahan province breast cancer patients compared to a healthy population.

This study aimed to investigate the association of the mentioned polymorphisms with breast cancer risk in combination with demographic and pathologic features.

Materials and Methods

Subjects and blood samples collection

A case-control study was conducted to investigate the association of ApaI and TaqI polymorphisms in the VDR gene with breast cancer risk. The 300 samples consisting of 150 patients with breast cancer as a case group and 150 healthy women as a control group were included in this study. All subjects were selected from women who referred to Hospitals in Isfahan province (Isfahan, Iran). Women with breast cancer were assessed based on the clinical examinations as well as pathological and mammographic examinations. Also, the breast cancer patients had not been exposed to chemotherapy and/or radiotherapy. The women included in the control group were healthy individuals referring to the same hospital for routine tests and they had no history of breast cancer. Finally, blood samples were collected into sterile tubes containing anticoagulant EDTA sodium salt. Written informed consent obtained from all subjects. The study approved by the Medical Ethics Committee of Kashan University of Medical Sciences.

DNA extraction, PCR-RFLP, and DNA sequencing

The genomic DNA extracted from the collected blood samples by a commercial kit according to the manufacturer’s procedure. Genotypes of VDR-ApaI and -TaqI were detected by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. The sense and antisense primers for amplifying the fragment containing both ApaI and TaqI polymorphisms were designed by Oligo7 software (DBA Oligo, Inc., USA). The PCR combination was consist of the following reagents: 10μl of 2X Taq PCR Premix, 0.2 µM each of forward and reverse primers, and 30 ng of extracted DNA up to a total volume of 20 µl. All PCR reagents were purchased from CinnaGen Company (CinnaGen, Tehran, Iran). PCR was done in a Peqlab thermal cycler (peqSTAR, Germany) with a program that was shown in table 1. To detection of VDR-ApaI and -TaqI variations, the PCR products were respectively treated by ApaI (Fermentas GmbH, Leon-Rot, Germany) and TaqI (Fermentas GmbH, Leon-Rot, Germany) restriction endonucleases based on the manufacturer’s protocol. To confirm the PCR-RFLP results, 5% of PCR products with different genotypes were sequenced by Bioneer Company (Bioneer, South Korea). The sequence data were analyzed by the Chromas software ver. 2.4.4.

Table 1.

The Sequence of Primers and PCR Program

SNP name Primer name 5' to 3' oligonucleotide PCR program
ApaI Apa-F 5'- GGACAGAGCATGGACAGGGAGC 94°C (5′), 94°C (40″), 61°C (40″), 72°C (40″),
35 cycles, 72°C (5′)
TaqI Taq-R 5'- GGGCGTTAGCTTCATGCTGCAC

After the PCR procedure, a fragment with 489-bp length containing two ApaI and TaqI SNPs was amplified. This fragment was treated individually once with ApaI and once with TaqI restriction enzymes. Regarding the ApaI polymorphism, the results showed that the 489-bp fragment in some samples was digested into two 220- and 269-bp fragments, and in some samples, it was digested into three 489-, 269- and 220-bp fragments. In some samples, however, only one band containing the 489-bp fragment was observed because there was no restriction site for ApaI in these fragments. Samples showing only one band on agarose gel have the AA genotype. Samples with two bands had the CC genotype and samples with three bands had the AC genotype (Figure 1). About the TaqI polymorphism, the results indicated that the 489-bp fragment in some samples was digested into two 296- and 193-bp fragments, and in some samples, it was digested into three 489-, 296- and 193-bp fragments. In some cases, however, only one band containing the 489 bp fragment was observed because there was no restriction site for TaqI in these samples. Samples showing only one band on agarose gel have TT genotype. Samples with two bands had CC genotype and samples with three bands had TC genotype (Figure 1). Data from DNA direct sequencing indicated that the fragment sequence was bona fide at ApaI and TaqI positions.

Figure 1.

Figure 1

Detection of Genotypes of ApaI and TaqI Polymorphisms by PCR-RFLP. A) The pattern of agarose gel indicated genotypes CC (lane 1), AC (lane 2), and AA (lane 3). B) The pattern of agarose gel indicated genotypes CC (lane 1), TC (lane 2), and TT (lane 3)

Statistical analysis

All of the statistical analyses were done by SPSS version 20 (SSPS Inc., USA). Quantitative variables were analyzed by an independent t-test. Hardy-Weinberg equilibrium (HWE) was checked by the chi-square test for both case and control groups. Differences in allele and genotype frequencies distribution and between control and case groups were evaluated by utilizing a chi-square test. Odds ratio (OR) and 95% confidence interval (CI) were estimated to evaluate the association of different alleles and genotypes with breast cancer and its subgroups (Talebi et al., 2018).

Results

Association of VDR-ApaI and -TaqI polymorphisms with breast cancer risk

This study included a total of 150 healthy women and 150 age-matched breast cancer subjects, that there were no significant differences in body mass index (BMI), and menopause status between two studied groups. Our data showed that the distribution of VDR genotypes for both SNPs was met Hardy-Weinberg equilibrium (HWE) in both the case and control groups.

For ApaI polymorphism, alleles with adenine nucleotide were more abundant than other allele. The frequency distribution of AC genotype in the healthy and diseased groups was 40.00% and 48.67%, respectively, while this ratio for CC mutant genotype was 12.00% and 16.00%, respectively. Statistical analysis showed that there was a significant association between AC genotype and increased risk of breast cancer (Table 2). Statistical analysis showed a significant difference between the patient and healthy groups for mutant allele carriers compared with those with AA genotype. The frequency of the C allele was higher among patients than the control group and statistical analysis showed that there was a significant association between the C allele and the increased risk of breast cancer (Table 2).

Table 2.

Association between VDR-ApaI Polymorphism and Breast Cancer Risk

SNP ID Genotype/ Allele No. and Percentage χ2 OR (95% CI) P-value
Control (n= 150) Case (n= 150)
ApaI
(rs7975232)
AA 72 (48.00%) 53 (35.33%) - - -
AC 60 (40.00%) 73 (48.67%) 4.02 1.65 (1.0101 to 2.7045) 0.046*
CC 18 (12.00%) 24 (16.00%) 2.75 1.81 (0.8935 to 3.6718) 0.099
AC+CC 78 (52.00%)) 97 (64.67%) 4.95 1.69 (1.0629 to 2.6851) 0.027*
A 204 (68.00%) 179 (59.67%) - - -
C 96 (32.00%)) 121 (40.33%) 4.51 1.44 (1.0278 to 2.0076) 0.034*
TaqI
(rs731236)
TT 79 (52.67%) 61 (40.67%) - - -
TC 59 (39.33%) 68 (45.33%) 2.65 1.49 (0.9209 to 2.4193) 0.104
CC 12 (8.00%) 21 (14.00%) 4.31 2.27 (1.0348 to 4.9639) 0.041*
TC+CC 71 (47.33%) 89 (59.33%) 4.34 1.62 (1.0279 to 2.5640) 0.038*
T 217 (72.33%) 190 (63.33%) - - -
C 83 (27.67%) 110 (36.67%) 5.57 1.51 (1.0279 to 2.5640) 0.019*

*Significant difference between patient and control group; OR, odds ratio; CI, confidence interval

For TaqI polymorphism, alleles with thymine nucleotide were more abundant than other allele. The frequency distribution of TC genotype in healthy and patient groups was 39.33% and 45.33%, respectively, while this ratio for CC mutant genotype was 8.00% and 14.00%, respectively. Statistical analysis revealed that there was a significant association between CC genotype and increased risk of breast cancer (Table 2). Statistical analysis showed a significant difference between the patient and healthy groups in the carriers of the C allele compared with those with the TT genotype. The frequency of the C allele was higher among patients than the control group and statistical analysis showed that there was a significant association between the C allele and the increased risk of breast cancer (Table 2).

Stratified analysis

The genotypes distribution for ApaI and TaqI polymorphisms were evaluated for tumor size and lymph node metastasis (Table 3). With regard to ApaI polymorphism, we observed that there are no significant associations between this polymorphism and tumor size of breast cancer in three genetic models (AC vs. AA: OR: 0.71, 95%CI= 0.34-1.50, p= 0.373; CC vs. AA: OR= 0.55, 95%CI= 0.19-1.62, p= 0.277; AC+CC vs. AA= OR= 0.67, 95%CI= 0.33-1.36, p= 0.267). In addition, we did not find any significant association between ApaI polymorphism and lymph node metastasis of breast cancer in three mentioned genetic models. As shown in Table 4, similar results were observed for the TaqI polymorphism. Our data revealed that this polymorphism could not affect the tumor size and lymph node metastasis. Genotypes distribution showed that TC, CC, and TC+CC are not associated with the tumor size of breast cancer. The same results were observed for lymph node metastasis in three genetic models (TC vs. TT: OR= 0.985, 95%CI= 0.49-2.00, p= 0.967; CC vs. TT: OR= 0.59, 95%CI= 0.22-1.60, p= 0.300; TC+CC vs. TT: OR= 0.87, 95%CI= 0.45-1.69, p= 0.682).

Table 3.

The Association Analysis between VDR-ApaI Variation and Two Clinical Characteristics of Breast Cancer

Characteristics Genotype distributions
AA AC CC AC+CC
Tumor size (cm)
≥2/<2 20/33 22/51 6/15 28/69
OR (95% CI) 1.0 (reference) 0.71 (0.34-1.50) 0.55 (0.19-1.62) 0.67 (0.33-1.36)
P-value 0.373 0.277 0.267
Lymph node metastasis
Yes/No 29/24 42/31 17/7 59/38
OR (95% CI) 1.0 (reference) 1.12 (0.55-2.29) 2.01 (0.72-5.65) 1.28 (0.65-2.53)
P-value 0.753 0.185 0.468

Cm, centimeter, OR, odds ratio, CI, confidence interval

Table 4.

The Association Analysis between VDR-TaqI Variation and Two Clinical Characteristics of Breast Cancer

Characteristics Genotype distributions
TT TC CC TC+CC
Tumor size (cm)
≥2/<2 15/46 23/45 10/11 33/56
OR (95% CI) 1.0 (reference) 1.57 (0.73-3.38) 0.93 (0.36-2.40) 0.60 (0.33-1.09)
P-value 0.252 0.88 0.095
Lymph node metastasis
Yes/No 37/24 41/27 11-Oct 51/38
OR (95% CI) 1.0 (reference) 0.985 (0.49-2.00) 0.59 (0.22-1.60) 0.87 (0.45-1.69)
P-value 0.967 0.3 0.682

Cm, centimeter, OR, odds ratio, CI, confidence interval

Discussion

The role of genetic and environmental risk factors on the development of breast cancer susceptibility was investigated widely (Mavaddat et al., 2010; Nickels et al., 2013). In breast cancer, the genetic, environmental, behavioral, and the combined effects of risk factors are involved (Nickels et al., 2013). Research has shown that vitamin D has a protective effect against breast cancer and its deficiency may be a risk factor for the onset and progression of breast cancer (Jurutka et al., 2001). It has been revealed that vitamin D could affect cell proliferation and differentiation in cancers (Colston et al., 1981).

In the current study, we investigated the association of ApaI and TaqI polymorphisms in the VDR gene with breast cancer in a case-control study and a stratified analysis. In the case of ApaI polymorphism, there was a significant association between AC genotype and increased risk of breast cancer. Our results showed a significant difference between the patient and healthy groups for C allele carriers compared to those with AA genotype. The frequency of the C allele was higher in the patient group than the control group and the statistical analysis showed that there was a significant association between C allele and increased risk of breast cancer. In addition, TaqI polymorphism was associated with breast cancer risk in some genetic models. But, the stratified analysis based on tumor size and lymph node metastasis revealed no significant associations for both studied SNPs.

Similar studies have been conducted in recent years that have reported different results. For example, Ahmed et al., (2019) investigated the association of this polymorphism with the risk of breast cancer in the Ethiopian female population, whose results showed that the ApaI polymorphism was not associated with breast cancer in any genetic model. But, subgroup analysis showed that the CC genotype is correlated with a high concentration of 25 (OH) D3 in plasma in the tamoxifen receiving group (Ahmed et al., 2019). However, El-Shorbagy et al., (2017) reported that the ApaI polymorphism in the VDR gene is a genetic risk factor for breast cancer in the Egyptian female population (El-Shorbagy et al., 2017). Concerning the TaqI polymorphism, similarly, Ahmed et al., (2019) reported that this genetic variant was not associated with breast cancer risk (Ahmed et al., 2019) But, El-Shorbagy et al., (2017) reported that this polymorphism was associated with risk of breast cancer. Different results from different studies indicate that the association of VDR gene polymorphisms with breast cancer risk may be affected by some factors including race, diet, lifestyle, and environmental factors.

Previous studies have shown that vitamin D plays an important role against several cancers including breast cancer. The vitamin D3 receptor (VDR) as a nuclear receptor complexed with its ligand 1-α, 25-dihydroxycholecalciferol (1, 25(OH) 2 D3) could modulate gene expression. The VDR expressed in the mammary gland, normally. It functions against the estrogen-driven proliferation and maintains differentiation, and it may participate in negative-growth regulation of mammary epithelial cells. VDR gene SNPs could be studied as an important factor, because the variants of VDR gene may affect receptor function (Welsh et al., 2003). Therefore, it can be concluded that VDR polymorphisms may influence vitamin D metabolism and 25(OH) D levels (Tiosano et al., 2001). There are convincing data of the VDR gene in different studies, but to obtain sufficient information regarding the use of vitamin D supplements to prevent or treat breast cancer, is needed more research.

Assessing the molecular effects of genetic polymorphisms on the structure and function of mRNA and protein in vitro and in vivo is time-consuming and costly (Zamani-Badi et al., 2018; Zamani-Badi et al., 2019). But computational methods using bioinformatics tools can be a useful way for molecular analysis especially to evaluate the effects of genetic polymorphisms (Karimian et al., 2015; Noureddini et al., 2018; Tameh et al., 2018; Mobasseri et al., 2019; Karimian et al., 2020). In silico analysis is a useful tool to evaluate the effects of SNPs on protein and mRNA structure (Salimi et al., 2017; Bafrani et al., 2019). Therefore, this tool would be an appropriate approach to study the effects of TaqI and ApaI on the VDR gene function.

In conclusion, our case-control study shows that TaqI and ApaI polymorphisms of the VDR gene are associated with breast cancer risk. Therefore, these genetic variants can be risk factors for breast cancer. Besides, these polymorphisms can be considered as potential biomarkers for screening women susceptible to breast cancer. However, there are several limitations to the present study that should be considered. The VDR gene interacts with many other genes, so gene-gene interactions, as well as gene-environment interactions, may affect the effects of studied genetic variations. In our study, the absence of baseline data such as sunlight exposure, skin color, and family history may affect the accuracy of the association of TaqI and ApaI polymorphisms in the VDR gene with breast cancer risk. To obtain more accurate information, further studies on a larger sample size in combination with different environmental and genetic factors are needed.

Acknowledgements

The authors are thankful to the clinic staff for employing the control and case participants.

Source of funding

This project was financially supported by a definite grant from KAUMS (#97062).

Conflict of interest

The authors declare no conflict of interests.

References

  1. Ahmed JH, Makonnen E, Fotoohi A, et al. Vitamin D status and association of VDR genetic polymorphism to risk of breast cancer in Ethiopia. Nutrients. 2019;11:289. doi: 10.3390/nu11020289. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Bafrani HH, Ahmadi M, Jahantigh D, et al. Association analysis of the common varieties of IL17A and IL17F genes with the risk of knee osteoarthritis. J Cell Biochem. 2019;120:18020–30. doi: 10.1002/jcb.29105. [DOI] [PubMed] [Google Scholar]
  3. Colston K, Colston MJ, Feldman D. 1,25-dihydroxyvitamin D3 and malignant melanoma: the presence of receptors and inhibition of cell growth in culture. Endocrinology. 1981;108:1083–6. doi: 10.1210/endo-108-3-1083. [DOI] [PubMed] [Google Scholar]
  4. Crew KD. Vitamin d: are we ready to supplement for breast cancer prevention and treatment? ISRN Oncol. 2013;2013:483687. doi: 10.1155/2013/483687. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. El-Shorbagy HM, Mahmoud NH, Sabet S. Association of vitamin D receptor gene polymorphisms with breast cancer risk in an Egyptian population. Tumor Biol. 2017;39:1010428317727738. doi: 10.1177/1010428317727738. [DOI] [PubMed] [Google Scholar]
  6. Evans RM. The steroid and thyroid hormone receptor superfamily. Science. 1988;240:889–95. doi: 10.1126/science.3283939. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Jensen SS, Madsen MW, Lukas J, et al. Inhibitory effects of 1α, 25-dihydroxyvitamin D3 on the G1–S phase-controlling machinery. Mol Endocrinol. 2001;15:1370–80. doi: 10.1210/mend.15.8.0673. [DOI] [PubMed] [Google Scholar]
  8. Jurutka PW, Whitfield GK, Hsieh J-C, et al. Molecular nature of the vitamin D receptor and its role in regulation of gene expression. Rev Endocr Metab Disord. 2001;2:203–16. doi: 10.1023/a:1010062929140. [DOI] [PubMed] [Google Scholar]
  9. Karimian M, Momeni A, Farmohammadi A, et al. Common gene polymorphism in ATP-binding cassette transporter A1 and coronary artery disease: A genetic association study and a structural analysis. J Cell Biochem. 2020;121:3345–57. doi: 10.1002/jcb.29606. [DOI] [PubMed] [Google Scholar]
  10. Karimian M, Nikzad H, Azami-Tameh A, et al. SPO11-C631T gene polymorphism: association with male infertility and an in silico-analysis. J Family Reprod Health. 2015;9:155. [PMC free article] [PubMed] [Google Scholar]
  11. Lopes N, Sousa B, Martins D, et al. Alterations in Vitamin D signalling and metabolic pathways in breast cancer progression: a study of VDR, CYP27B1 and CYP24A1 expression in benign and malignant breast lesions Vitamin D pathways unbalanced in breast lesions. BMC Cancer. 2010;10:483. doi: 10.1186/1471-2407-10-483. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Mavaddat N, Antoniou AC, Easton DF, et al. Genetic susceptibility to breast cancer. Mol Oncol. 2010;4:174–91. doi: 10.1016/j.molonc.2010.04.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Mobasseri N, Nikzad H, Karimian M. Protective effect of oestrogen receptor α-PvuII transition against idiopathic male infertility: a case-control study and meta-analysis. Reprod Biomed Online. 2019;38:588–98. doi: 10.1016/j.rbmo.2019.01.008. [DOI] [PubMed] [Google Scholar]
  14. Nickels S, Truong T, Hein R, et al. Evidence of gene–environment interactions between common breast cancer susceptibility loci and established environmental risk factors. PLoS Genet. 2013;9:e1003284. doi: 10.1371/journal.pgen.1003284. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Noureddini M, Mobasseri N, Karimian M, et al. Arg399Gln substitution in XRCC1 as a prognostic and predictive biomarker for prostate cancer: Evidence from 8662 subjects and a structural analysis. J Gene Med. 2018;20:e3053. doi: 10.1002/jgm.3053. [DOI] [PubMed] [Google Scholar]
  16. Parkin D, Ferlay J, Hamdi-Cherif M, et al. Cancer in Africa. Epidemiol Prev. 2003;4:268–76. [Google Scholar]
  17. Salimi S, Keshavarzi F, Mohammadpour-Gharehbagh A, et al. Polymorphisms of the folate metabolizing enzymes: Association with SLE susceptibility and in silico analysis. Gene. 2017;637:161–72. doi: 10.1016/j.gene.2017.09.037. [DOI] [PubMed] [Google Scholar]
  18. Shen Q, Brown PH. Novel agents for the prevention of breast cancer: targeting transcription factors and signal transduction pathways. J Mammary Gland Biol Neoplasia. 2003;8:45–73. doi: 10.1023/a:1025783221557. [DOI] [PubMed] [Google Scholar]
  19. Stoica A, Saceda M, Fakhro A, et al. Regulation of estrogen receptor-alpha gene expression by 1, 25-dihydroxyvitamin D in MCF-7 cells. J Cell Biochem. 1999;75:640–51. [PubMed] [Google Scholar]
  20. Swami S, Raghavachari N, Muller UR, et al. Vitamin D growth inhibition of breast cancer cells: gene expression patterns assessed by cDNA microarray. Breast Cancer Res Treat. 2003;80:49–62. doi: 10.1023/A:1024487118457. [DOI] [PubMed] [Google Scholar]
  21. Taghavi A, Fazeli Z, Vahedi M, et al. Increased trend of breast cancer mortality in Iran. Asian Pac J Cancer Prev. 2012;13:367–70. doi: 10.7314/apjcp.2012.13.1.367. [DOI] [PubMed] [Google Scholar]
  22. Talebi E, Karimian M, Nikzad H. Association of sperm mitochondrial DNA deletions with male infertility in an Iranian population. Mitochondrial DNA Part A. 2018;29:615–23. doi: 10.1080/24701394.2017.1331347. [DOI] [PubMed] [Google Scholar]
  23. Tameh AA, Karimian M, Zare-Dehghanani Z, et al. Role of steroid therapy after ischemic stroke by N-methyl-d-aspartate receptor gene regulation. J Stroke Cerebrovasc Dis. 2018;27:3066–75. doi: 10.1016/j.jstrokecerebrovasdis.2018.06.041. [DOI] [PubMed] [Google Scholar]
  24. Tiosano D, Weisman Y, Hochberg Z. The role of the vitamin D receptor in regulating vitamin D metabolism: a study of vitamin D-dependent rickets, type II. J Clin Endocrinol Metab. 2001;86:1908–12. doi: 10.1210/jcem.86.5.7448. [DOI] [PubMed] [Google Scholar]
  25. Townsend K, Banwell CM, Guy M, et al. Autocrine metabolism of vitamin D in normal and malignant breast tissue. Clin Cancer Res. 2005;11:3579–86. doi: 10.1158/1078-0432.CCR-04-2359. [DOI] [PubMed] [Google Scholar]
  26. Vogelstein B, Kinzler KW. Cancer genes and the pathways they control. Nat Med. 2004;10:789–99. doi: 10.1038/nm1087. [DOI] [PubMed] [Google Scholar]
  27. Walsh T, King MC. Ten genes for inherited breast cancer. Cancer Cell. 2007;11:103–5. doi: 10.1016/j.ccr.2007.01.010. [DOI] [PubMed] [Google Scholar]
  28. Welsh J, Wietzke JA, Zinser GM, et al. Vitamin D-3 receptor as a target for breast cancer prevention. J Nutr. 2003;133:2425–33. doi: 10.1093/jn/133.7.2425S. [DOI] [PubMed] [Google Scholar]
  29. Zamani-Badi T, Karimian M, Azami-Tameh A, et al. Association of C3953T transition in interleukin 1β gene with idiopathic male infertility in an Iranian population. Hum Fertil. 2019;22:111–7. doi: 10.1080/14647273.2017.1384857. [DOI] [PubMed] [Google Scholar]
  30. Zamani-Badi T, Nikzad H, Karimian M. IL-1RA VNTR and IL-1α 4845G> T polymorphisms and risk of idiopathic male infertility in Iranian men: A case–control study and an in silico analysis. Andrologia. 2018;50:e13081. doi: 10.1111/and.13081. [DOI] [PubMed] [Google Scholar]

Articles from Asian Pacific Journal of Cancer Prevention : APJCP are provided here courtesy of West Asia Organization for Cancer Prevention

RESOURCES