Skip to main content
Journal of Medical Biochemistry logoLink to Journal of Medical Biochemistry
. 2019 May 11;38(3):368–375. doi: 10.2478/jomb-2018-0043

Association of Serum Paraoxonase 1 Activities, Polymorphisms and Oxidative Stress in Breast Cancer Patients with Type 2 Diabetes Mellitus

Veza aktivnosti serumske paraoksonaze 1, polimorfizma i oksidativnog stresa kod pacijentkinja sa rakom dojke i dijabetesom tip 2

Fatma Ceyla Eraldemir 1,*, Nihal Üren 2, Tuğba Kum 1, Burcu Erbay 3, Deniz Şahin 4, Emel Ergül 2, Esra Acar 1, Doğa Özsoy 1, Mustafa Çekmen 5, Hale Kır 1, Zafer Utkan 3
PMCID: PMC6534952  PMID: 31156348

Summary

Background

The aim of the study was to investigate the association of paraoxonase 1 (PON1) polymorphism, PON1/arylesterase (ARE) activity and oxidative stress index (OSI) in breast cancer (BC) patients with type 2 diabetes (DM).

Methods

Our study group consisted of 30 healthy women (HV group) and 66 female BC patients. The BC patients were divided into two groups: those with (n=37) and without DM (n=29) (BDM and NBDM group). Genotyping of PON1 Q192R and L55M polymorphisms were done by polymerase chain reaction (PCR) – restriction fragment length polymorphism (RFLP) method. Serum PON1/ARE enzyme activities, total oxidant status (TOS) and total antioxidant status (TAS) were analysed by spectrophotometric method. The ratio of TOS to TAS was accepted as the oxidative stress index (OSI).

Results

PON1 Q192R genotype frequency distribution was significantly different in the BDM group compared to the NBDM group (p=0.021). When alleles distribution was examined, R and L alleles were significantly lower, Q and M alleles were significantly higher in the BDM group than in the NBDM group (p<0.001). TOS and OSI were statistically higher in BC patients than HV group (p<0.001).

Conclusions

Our results suggest that PON1 gene Q and M alleles may be the risk factors predisposing formation of BC due to increased oxidant damage seen in DM. However, these statements require further confirmation with screening PON1 polymorphism in a greater number of patients with DM, and also wide range follow-up studies are necessary for the same purpose.

Keywords: diabetes mellitus type 2, paraoxonase 1, single nucleotide polymorphism, oxidative stress, breast cancer

Introduction

Breast cancer (BC) has become a worldwide public health problem. In Turkey, BC is the most common tumour between women in all age groups as mentioned in Turkey unified database 2013. In 2010, the American Diabetes Association (ADA) and the American Cancer Society (ACS) had a common opinion that diabetic patients have an increased risk of BC (1).

Progression of type 2 diabetes (DM) may have a critical role in the initiation and progression of carcinogenesis (2). The mechanisms underlying the relationship between DM and BC may be based on oxidative stress. Oxidative stress may cause cell transformation process raising the risk of cancer development (3).

Paraoxonase 1 (PON1) and arylesterase (ARE) are high-density lipoprotein (HDL)-bound enzyme system of antioxidants which protect LDL and HDL from oxidation. Lipid peroxides and hydrogen peroxide are neutralised by PON1 (4). PON1 activity is decreased in diabetic patients (4, 5).

Polymorphism in PON1 gene leads to amino acid differences in position 192 of PON1 enzyme (4). Additionally, PON1 enzyme has got ARE enzyme activity and that part of the enzyme is non-polymorphic. It has been reported that ARE activity is a marker of the actual protein concentration, independent of changes in PON1 activity (6, 7).

Loss of the protective effect of PON1 may play an important role in increasing susceptibility to genomic damage and modulate progression of BC causing releasing of some inflammation factors, oxidants and exogenous carcinogens. In addition, there are studies reporting that the activity of PON1 is decreased in DM patients (6, 8).

Our aim was to investigate the relationship between PON1 polymorphism, PON1/ARE activity and oxidative stress in patients with DM and BC. Oxidative stress index was used to determine whether PON1 polymorphism could be used as a preliminary diagnostic marker for BC susceptibility of diabetic patients.

Materials and Methods

A total of 66 patients with BC who underwent surgery and 30 healthy volunteers (HV group) with no family history of BC were enrolled to participate in this study. The patients were divided into two groups: Those with and without DM (BDM and NBDM group). Participants were chosen from those who were referred to General Surgery Departments of our hospital between June 2014 to December 2015. Patients with renal or liver failure were excluded from the study. The patients with a family history of BC and those who underwent chemotherapy or radiotherapy were not included in this study. The study was approved by the Local Ethics Committee (2014/166 KOU KAEK). Informed consents were obtained from all participants in the study.

Fasting venous blood was drawn into blood tubes with clot activator and serum was separated from the cells by centrifugation at 1500 g for 10 min, and the serum samples were stored at –80 °C until PON1 and ARE activities, total oxidant status (TOS) and total antioxidant status (TAS) analyses. Fasting glucose (mmol/L), low-density lipoprotein-cholesterol (LDL-C) (mmol/L), high-density lipoprotein-cholesterol (HDL-C) (mmol/L), triglyceride (TG) (mmol/L) were analysed immediately spectrophotometrically by Abbott Archıtect c8000 clinical chemistry analyser.

PON1 and ARE activities, TOS and TAS were measured using commercially available kits according to manufacturer instructions (Relassay, Gaziantep, Turkey). The ratio of TOS to TAS was accepted as the oxidative stress index (OSI). For calculation, the resulting unit of TAS was converted to μmol/L, and the OSI value was calculated according to the following formula: OSI (arbitrary unit) = TOS (μmol H2O2 equivalent/L)/TAS (μmol Trolox equivalent/L) (9, 10, 11).

Blood tubes with potassium ethylene diamine tetraacetic acid (EDTA) is used for HbA1c and genotyping analysis. HbA1c was analysed immediately with high-performance liquid chromatography (HPLC) by Adams A1c HA-8160 (BIODPC).

Genomic DNA extraction was done from blood lymphocytes with a conventional salting-out method (12). Genotypes were analysed by using the PCR-RFLP method and the primer set used for PON1 55 rs854560 amplification was F: 5’-GAAGAGTGATGTATA GCCCCAG-3’ as forward and R: 5’-TTTAATCCAGA GCTAATGAAAGCC-3’ as reverse based on Irene et al. with some modifications (Table I) (13).

Table I.

The primary sequences for amplifying each SNP for PON1 polymorphisms.

SNP Reference SNP ID Forward primer Reverse primer Annealing Tm (°C) Restriction enzyme Digest Tm (°C)
L55M rs854560 PON1

55

5’GAAGAGTGATGTATAGCCCCAG3’

5’TTTAATCCAGAGCTAATGAAAGCC3’

59 Hsp92II 37
Q 192R rs662 PON1

192

5’TATTGTTGCTGTGGGACCTGAG3’

5’CACGCTAAACCCAAATACATCTC3’
58 BspPI 55

Note: PON1: paraoxonase 1, SNP: single nucleotide polymorphism

Genotypes were analysed using the PCR-RFLP method and the primer set used for PON1 192 rs662 amplification was F:5’ TATTGTTGCTGTGGGACC TGAG-3’ as forward and R: 5’-CACGCTAAACCCAA ATACATCTC-3’ as reverse based on Irene et al. (13) with some modifications (Table I).

Statistical evaluation was performed with IBM SPSS 20.0 (SPSS Inc. Chicago, IL, USA). The normal distribution fitness test was assessed using the Kolmogorov-Smirnov Test. The differences between the groups were determined by parametric one-way analysis of variance (ANOVA) test Tukey’s Multiple Comparison Test for numerical variables with normal distribution and by nonparametric Kruskal-Wallis test and Dunn’s Multiple Comparison post-hoc test for variables without normal distribution. Chi-squared test was carried out to compare the entire sample. The mean ± standard deviation was used for variables with normal distribution. The median (25th–75th percentile) was used for variables without normal distribution. The values of the data, with a significance level of p<0.05.

Results

Demographical and laboratory parameters of BC patients and HV group are presented in Table II. TOS and OSI values were found to be higher and statistically significant in BC patients than HV group (p<0.001). When PON1 and ARE activities were compared, there was no statistically significant difference between BC patients and HV group (p>0.05), but PON1 activity was found to be lower in BC patients than HV group.

Table II.

Demographical and laboratory parameters of BC patients and HV group.

Feature BC Patients (n = 66) HV group (n = 30) p
Age (years) 50.48 ± 9.91 47.67 ± 12.38 0.236
PON1 activity (U/L) 142.90 ± 86.98 161.00 ± 99.19 0.464
ARE activity (U/L) 227.80 ± 55.16 232.10 ± 43.97 0.709
TOS (μmol H2O2 equivalent/L) 58.28 (39.06–63.22) 5.53 ± 1.74 <0.001*
TAS (Trolox equivalent/L) 0.95 ± 0.30 1.05 ± 0.17 0.117
OSI (Arbitrary Unit) 62.01 ± 33.25 5.97 ± 5.33 <0.001

Note: the differences between the groups were determined by parametric one-way analysis of variance (ANOVA) test Tukey’s Multiple Comparison test for numerical variables with normal distribution (Mean ± Standard Deviation) and by nonparametric Kruskal-Wallis test and Dunn’s Multiple Comparison post-hoc test for variables without normal distribution (median (25th–75th percentile)).

BC: breast cancer; HV: healthy volunteers, *: statistical significance of p<0.001

Demographical and laboratory parameters of BDM and NBDM are presented in Table III. Although no statistical significance was observed (p>0.05), it was seen that serum PON1 activity was lower in BDM than NBDM group. Genotyping and allelic distribution of PON1 L55M polymorphism between BDM and NBDM groups are given in Table IV. According to the results of our study, there was no statistically significant difference in terms of PON1 L55M polymorphism between BDM and NBDM groups. However, allelic frequencies were found to be significantly higher in the M allele of BDM group than NBDM group, and also significant decrease was found in the L allele frequencies (p<0.001). Geno type and allelic distribution of PON1 Q192R polymorphism between BDM and NBDM is given in Table V. The difference of PON1 Q192R poly morphism genotypes was found to be statistically significant between BDM and NBDM (p=0.021). In BDM group, QQ genotype rate was significantly higher (48.6%) than NBDM (27.6%). QR was found to be lower in BDM (48.6%) than NBDM (55.2%). The rate of RR was found to be lower in BDM (2.7%) than NBDM (17.2%). While Q allele frequency was statistically higher in BDM group than NBDM group, but R allele frequency was statistically lower (p<0.001).

Table III.

Demographical and laboratory parameters of BDM and NBDM Groups.

Feature NBDM (n = 29) BDM (n = 37) p
Age (years) 47.93 ± 11.29 52.49 ± 8.28 0.063
PON1 activity (U/L) 162.50 ± 93.99 132.90 ± 86.31 0.189
ARE activity (U/L) 235.80 ± 48.77 221.60 ± 59.60 0.303
TOS (μmol H2O2 equivalent/L) 50.60 ± 16.66 60.23 (52.12–63.01) 0.299
TAS (Trolox equivalent/L) 0.91 ± 0.27 1.00 ± 0.32 0.210
OSI (Arbitrary Unit) 60.87 ± 33.65 62.90 ± 33.38 0.807
HbA1c (%) 5.35 ± 0.33 6.10 (5.90–6.55) <0.001*
Fasting glucose (mmol/L) 5.94 ± 0.53 7.10 (6.83 ± 7.85) <0.001*
LDL-C (mmol/L) 3.28 ± 1.04 3.43 ± 0.85 0.513
HDL-C (mmol/L) 1.27 ± 0.31 1.14± 0.33 0.126
TG (mmol/L) 1.49 ± 0.66 1.85 ± 0.70 0.041**

Note: BDM: breast cancer patients with type 2 diabetes mellitus, NBDM: breast cancer patients without type 2 diabetes mellitus, PON1: paraoxonase 1, ARE: arylesterase TOS: total oxidant status, TAS: total antioxidant status OSI: oxidative stress index LDL-C: low density lipoprotein- cholesterol, HDL-C: high density lipoprotein-cholesterol, TG: triglycerides, the differences between the groups were determined by parametric one-way analysis of variance (ANOVA) test Tukey’s Multiple Comparison test for numerical variables with normal distribution (Mean ± Standard Deviation) and by nonparametric Kruskal-Wallis test and Dunn’s Multiple Comparison post-hoc test for variables without normal distribution (median (25th–75th percentile)), *: statistically significant of p<0.001, **: statistically significant of p<0.05.

Table IV.

Genotyping and allelic distribution of PON1 L 55 M polymorphism between BDM and NBDM Groups.

PON 1 L55M Polymorphisms Genotype Frequency Allele Frequency
n % n=132 n %
NBDM (n=29) LL 13 44.8 % L 41 70.6%
LM 15 51.7 % M 17 29.4%
MM 1 3.4 %
BDM (n=37) LL 12 32.4 % L 46 62.2%
LM 22 59.5 % M 28 37.8%
MM 3 8.1 %
p 0.243 <0.001

*Note: PON1: paraoxonase 1, BDM: breast cancer patients with type 2 diabetes mellitus, NBDM: breast cancer patients without type 2 diabetes mellitus, chi-squared test was used, *: statistical significance of p<0.001.

Table V.

Genotyping and allelic distribution of PON1 Q192R polymorphism between BDM and NBDM groups.

PON 1 Q192R Polymorphisms Genotype Frequency Allele n=132 Frequency
n % n %
NBDM (n=29) QQ 8 27.6% Q 32 55.2%
QR 16 55.2% R 26 44.8%
RR 5 17.2%
BDM (n=37) QQ 18 48.6% Q 54 72.9%
QR 18 48.6% R 20 27.1%
RR 1 2.7%
p 0.021** <0.001

*Note: PON1: paraoxonase 1, BDM: breast cancer patients with type 2 diabetes mellitus, NBDM: breast cancer patients without type 2 diabetes mellitus, chi-squared test was used, *: statistical significance of p<0.001, **: statistical significance of p<0.05.

Comparison of PON1, ARE activities is given in Figure 1 and comparison of TAS, TOS, OSI measurements is given in Figure 2 for all participants. PON1 activities of each genotype in BC patients are shown in Figure 1. When compared according to the PON1 Q192R polymorphism, there was no statistically significant difference between the PON1 enzyme activities of BC patients (p>0.05), but the lowest PON1 enzyme activity was observed in patients with the QQ genotype (mean ± standard deviation; QQ:120.0 ± 80.2; QR: 157.0 ± 84.2; RR: 191.4 ± 57.5). In the PON1 L55M polymorphism, there was no statistically significant difference between the PON1 enzyme activities of BC patients (p>0.05), while the lowest PON1 enzyme activity was observed in patients with MM genotype (median (25th–75th percentile); LL:113.5(83.47–166.50); LM:152.10 (76.84–216.70); MM:84.11). In total, the lowest PON1 enzyme activity was found in individuals with MM genotype and only 4 of 66 BC patients had MM genotype. ARE activities of each genotype in BC patients are shown in Figure 2. When compared according to the PON1 Q192R and PON1 L55M polymorphisms, there was no statistically significant difference between the ARE enzyme activities of BC patients (p>0.05).

Figure 1.

Figure 1

Comparison of paraoxonase 1 (PON1) activity in breast cancer (BC) patients with different genotypes.

Figure 2.

Figure 2

Comparison of arylesterase (ARE) activity in breast cancer (BC) patients with different genotypes.

Discussion

Epidemiologic evidence suggests that cancer incidence is associated with DM (1). This association was higher for female BC (14). Many epidemiological studies have found a positive association between DM and BC (15, 16).

In this study, we examined especially the association between Q192R and L55M polymorphisms of PON1, enzyme activities (PON1 and ARE) and oxidative stress in BDM. These patients were investigated for any difference in their polymorphism, enzyme activity (PON1 and ARE) and oxidative stress from NBDM. At the same time, we wanted to discuss the polymorphism that could lead to BC development in patients with DM (17, 18).

According to the results of this study, TOS and OSI values were found to be higher in all patients comparing to the HV group, and it was statistically significant (p<0.05). When BDM and NBDM groups were compared, TOS and OSI were higher in BDM, but it was not statistically significant. When PON1 polymorphism was evaluated, QQ genotype ratio, Q and M allele frequencies were significantly higher in BDM group.

On the other hand, when PON1 activity and genotype association was evaluated in BC patients, it was found that QQ and MM genotypes have the lowest enzyme activity. Oxidative stress is a condition caused by the inadequate neutralisation of reactive oxygen species (ROS) with antioxidants. Non-detoxified ROS react with lipids, proteins and DNA in the cell damaging the cell structure by abnormal products, causing cell death or DNA damage which, if left unrepaired, may causes cells to become cancerous (16). Both DM and BC are diseases accompanied by increased oxidative stress (3).

Our results showed that OSI was significantly higher in both BDM and NBDM than HV group. There was no statistically significant difference in oxidative stress between patients within groups, and all these findings are consistent with the literature. However, OSI is a little higher in BDM than NBDM. OSI shows a balance between all oxidants and anti-oxidants existing in the body. Increased OSI means that balance shifts in favour of oxidants.

Advanced glycation end products (AGEs) occur by hyperglycemia in DM. AGEs are responsible for the formation of ROS in this disease. Increased oxidative stress is one of the causative factors in carcino - genesis. Therefore, DM may cause the initiation and progression of carcinogenesis (3).

In BC patients, we also observed a significant increase in oxidative stress compared to HV group in this study. In BDM group the increase in oxidative stress might have originated from DM and might have triggered BC.

While PON1 and ARE activity was lower in BC patients than HV group in BDM group, it was also lower than NBDM group, but it is not statistically significant. This decline supports oxidative stress elevation. Our results are in consistency with the results of Gupta and his colleagues (19) who reported that the antioxidant activities of PON1 and ARE are low in patients with DM and they suggested that these situations could lead to increased lipid peroxidation. PON1 is a multifunctional enzyme with paraoxonase and arylesterase activities. The activity of PON1 is influenced by various Single nucleotide poly morphisms (20). But ARE activity is not influenced by PON1 polymorphisms (19).

In our study, it was determined that QQ genotype ratio and Q allele frequency of BDM group were significantly higher than NBDM group. Although it is not statistically significant, it is remarkable to note that actually there is an association between genotypes and PON1 activities in BC patients. PON1 activity of BC patients with QQ genotypes was lower, but it was not statistically significant compared with QR and RR genotypes. Because we observed that PON1 activity is lower in DM patients carrying QQ genotype we suppose that this explains the reason for lower PON1 activity.

Memisşoğulları and his colleagues (7) found that people with homozygous QQ genotype had a higher risk of BC than QR and RR genotypes. In addition, when the Q allele is found to be homozygous, it has been shown that it causes an increased BC risk (7).

A meta-analysis study also showed that PON1 M and Q alleles are associated with a higher risk of BC. Individuals having MM and QQ genotypes have a lower level and lower detoxification activity of the PON1 enzyme (21). Another meta-analysis study determined that the frequencies of M allele of PON1 gene were associated with the incidence risk of BC (22).

In our study, we also evaluated PON1 L55M polymorphism, and there was not a statistically significant difference in polymorphism between BDM and NBDM groups. However, LM (59.5%) and MM (8.1%) genotype rates were higher in BDM group. There was no statistically significant difference in PON1 enzyme activities among BDM and NBDM groups, but PON1 enzyme activity was found to be low in MM genotype patients. In addition, only 4 of 66 patients were found to have MM genotype. Significantly different allele frequencies were found in BDM group. The presence of MM and QQ genotypes was accompanied by lower PON1 activity than of LL and RR genotypes. M and Q alleles had lower activity of the PON1 enzyme. PON1 activity of LM genotypes was higher than MM genotypes while it was lower than LL genotypes. On the other hand, it is suggested that the R allele may lead to the production of PON1 enzyme with higher detoxification activity against potentially carcinogenic products of oxidative stress and lipid peroxidation. This situation may increase the vulnerability of the breast to genetic damage by reducing the ability to neutralise inflammatory oxidants as well as dietary carcinogens.

Because we found that Q and M allele frequencies are significantly higher in BDM group, we think that it may be useful to do PON1 L55M and Q192R polymorphism screening in diabetic patients. In clinical practice, it should be kept in mind that diabetic patients who are carrying Q and M alleles may have greater risk to develop BC. But this statement needs to be confirmed by larger study groups in order to prove that PON1 polymorphism will be used as a marker in the future.

List of abbreviations

BC

breast cancer

PON1

paraoxonase 1

ARE

arylesterase

TOS

total oxidant status

TAS

total antioxidant status

OSI

oxidative stress index

HV

healthy volunteers

BDM

breast cancer with type 2 diabetes mellitus

NBDM

breast cancer without type 2 diabetes mellitus

Footnotes

Funding This work was supported by KOU individual research Project unit (Project number: 2014/099-HD).

Ethical approval All procedures performed in this study involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Conflict of interest

Conflict of interest statement: There is no conflict of interest among the authors.

References

  • 1.Giovannucci E, Harlan DM, Archer MC, Bergenstal RM, Gapstur SM, Habel LA. Diabetes and cancer: a consensus report. Diabetes Care. 2010;33(7):1674–85. doi: 10.2337/dc10-0666. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Hope C, Robertshaw A, Cheung KL, Idris I, English E. Relationship between HbA1c and cancer in people with or without diabetes: a systematic review. Diabet Med. 2016;33(8):1013–25. doi: 10.1111/dme.13031. [DOI] [PubMed] [Google Scholar]
  • 3.Cignarelli A, Genchi VA, Caruso I, Natalicchio A, Perrini S, Laviola L. Diabetes and cancer: pathophysiological fundamentals of a ‘dangerous affair’. Diabetes Res Clin Pract. 2018 doi: 10.1016/j.diabres.2018.04.002. Apr 18. [DOI] [PubMed] [Google Scholar]
  • 4.Moya C, Máñez S. Paraoxonases: Metabolic role and pharmacological projection. Naunyn Schmiedebergs Arch Pharmacol. 2018;391(4):349–359. doi: 10.1007/s00210-018-1473-9. [DOI] [PubMed] [Google Scholar]
  • 5.Crow JA, Meek EC, Wills RW, Chambers JE. A case-control study. The association of serum paraoxonase 1 activity and concentration with the development of type 2 diabetes mellitus. Diabetes Metab Res Rev. 2018;34(3) doi: 10.1002/dmrr.2967. [DOI] [PubMed] [Google Scholar]
  • 6.Arenas M, Rodríguez E, Sahebkar A, Sabater S, Rizo D, Pallisé O. Paraoxonase-1 activity in patients with cancer: A systematic review and meta-analysis. Crit Rev Oncol Hematol. 2018;127:6–14. doi: 10.1016/j.critrevonc. [DOI] [PubMed] [Google Scholar]
  • 7.Memisşoğulları R, Osto Orhan N. Paraoksonaz ve Kanser. Konuralp Tıp Dergisi. 2010;2(2):22–26. [Google Scholar]
  • 8.Wu J, Fang M, Zhou X, Zhu B, Yang Z. Paraoxonase 1 gene polymorphisms are associated with an increased risk of breast cancer in a population of Chinese women. Oncotarget. 2017;8(15):25362–71. doi: 10.18632/oncotarget.15911. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Yumru M, Savas HA, Kalenderoglu A, Bulut M, Celik H, Erel O. Oxidative imbalance in bipolar disorder subtypes: a comparative study. Prog Neuropsychopharmacol Biol Psychiatry. 2009;3(6):1070–4. doi: 10.1016/j.pnpbp.2009.06.005. [DOI] [PubMed] [Google Scholar]
  • 10.Kosecik M, Erel O, Sevinc E, Selek S. Increased oxidative stress in children exposed to passive smoking. Int J Cardiol. 2005;100(1):61–4. doi: 10.1016/j.ijcard.2004.05.069. [DOI] [PubMed] [Google Scholar]
  • 11.Harma M, Harma M, Erel O. Increased oxidative stress in patients with hydatidiform mole. Swiss Med Wkly. 2003;133(41–42):563–6. doi: 10.4414/smw.2003.10397. [DOI] [PubMed] [Google Scholar]
  • 12.Miller SA, Dykes DD, Polesky HF. A simple salting out procedure for extracting DNA from human nucleated cells. Nucleic Acids Res. 1988;16(3):1215. doi: 10.1093/nar/16.3.1215. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Irene MR, Pascal PM, Dorothy McMaster, Ian S. Young, Chris Patterson, Maurice J. Savage. Paraoxonase polymorphisms PON1 192 and 55 and longevity in Italian centenarians and Irish nonagenarians. A pooled analysis. Exp Gerontol. 2004;39(4):629–35. doi: 10.1016/j.exger.2003.11.019. [DOI] [PubMed] [Google Scholar]
  • 14.Gini A, Bidoli E, Zanier L, Clagnan E, Zanette G, Gobbato M. Cancer among patients with type 2 diabetes mellitus: A population-based cohort study in northeastern Italy. Cancer Epidemiol. 2016;41:80–7. doi: 10.1016/j.canep.2016.01.011. Apr; [DOI] [PubMed] [Google Scholar]
  • 15.Boyle P, Boniol M, Koechlin A, Robertson C, Valentini F, Coppens K. Diabetes and breast cancer risk: a meta-analysis. Br J Cancer. 2012;107(9):1608–17. doi: 10.1038/bjc.2012.414. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Gupta RK, Patel AK, Shah N, Chaudhary AK, Jha UK, Yadav UC. Oxidative stress and antioxidants in disease and cancer: a review. Asian Pac J Cancer Prev. 2014;15(11):4405–9. doi: 10.7314/apjcp.2014.15.11.4405. [DOI] [PubMed] [Google Scholar]
  • 17.Ünüvar S, Tanrıverdi Z, Aslanhan H. Potential Prognostic Role of immune system activation marker neopterin in patients with type 2 diabetes. J Med Biochem. 2018;37:465–9. doi: 10.2478/jomb-2018-0004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Demirsoy HI, Ertural YD, Balci SŞ, Çınkır Ü, Sezer K, Tamer L, Aras N. Profiles of circulating miRNAs following metformin treatment in patients with type 2 diabetes. J Med Biochem. 2018;37:499–506. doi: 10.2478/jomb-2018-0009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Gupta N, Binukumar BK, Singh S, Sunkaria A, Kandimalla R, Bhansali A. Serum paraoxonase 1 (PON1) activities (PONase/AREase) and polymorphisms in patients with type 2 diabetes mellitus in a North-West Indian population. Gene. 2011;487(1):88–95. doi: 10.1016/j.gene.2011.07.011. [DOI] [PubMed] [Google Scholar]
  • 20.Shakeri R, Khajeniazi S, Marjani A. Association between promoter polymorphism (-108C>T) of paraoxonase 1 gene and it’s paraoxonase activity in patients with Type 2 diabetes in northern Iran. Clin Chim Acta. 2017;474:34–7. doi: 10.1016/j.cca.2017.08.037. Nov; [DOI] [PubMed] [Google Scholar]
  • 21.Mostafa S. Paraoxonase 1 genetic polymorphisms and susceptibility to breast cancer: A meta-analysis. Cancer Epidemiology. 2012;36(2):101–3. doi: 10.1016/j.canep.2011.10.015. [DOI] [PubMed] [Google Scholar]
  • 22.Wen Y, Huang Z, Zhang X, Gao B, He Y. Correlation between PON1 gene polymorphisms and breast cancer risk: a Meta-analysis. Int J Clin Exp Med. 2015;8(11):20343–8. [PMC free article] [PubMed] [Google Scholar]

Articles from Journal of Medical Biochemistry are provided here courtesy of Society of Medical Biochemists of Serbia

RESOURCES