Literature DB >> 31156348

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

Fatma Ceyla Eraldemir1, Nihal Üren2, Tuğba Kum1, Burcu Erbay3, Deniz Şahin4, Emel Ergül2, Esra Acar1, Doğa Özsoy1, Mustafa Çekmen5, Hale Kır1, Zafer Utkan3.   

Abstract

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.

Entities:  

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

Year:  2019        PMID: 31156348      PMCID: PMC6534952          DOI: 10.2478/jomb-2018-0043

Source DB:  PubMed          Journal:  J Med Biochem        ISSN: 1452-8266            Impact factor:   3.402


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 () (13). The primary sequences for amplifying each SNP for PON1 polymorphisms. 55 5’TTTAATCCAGAGCTAATGAAAGCC3’ 192 5’TATTGTTGCTGTGGGACCTGAG3’5’CACGCTAAACCCAAATACATCTC3’ 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 (). 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 . 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. Demographical and laboratory parameters of BC patients and HV group. 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 . 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 . 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 . 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). Demographical and laboratory parameters of BDM and NBDM Groups. 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. Genotyping and allelic distribution of PON1 L 55 M polymorphism between BDM and NBDM Groups. *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. Genotyping and allelic distribution of PON1 Q192R polymorphism between BDM and NBDM groups. *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 and comparison of TAS, TOS, OSI measurements is given in for all participants. PON1 activities of each genotype in BC patients are shown in . 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 . 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). Comparison of paraoxonase 1 (PON1) activity in breast cancer (BC) patients with different genotypes. 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.
Table I

The primary sequences for amplifying each SNP for PON1 polymorphisms.

SNPReference SNP IDForward primer Reverse primerAnnealing Tm (°C)Restriction enzymeDigest Tm (°C)
L55Mrs854560PON1

55

5’GAAGAGTGATGTATAGCCCCAG3’

5’TTTAATCCAGAGCTAATGAAAGCC3’

59Hsp92II37
Q 192Rrs662PON1

192

5’TATTGTTGCTGTGGGACCTGAG3’

5’CACGCTAAACCCAAATACATCTC3’
58BspPI55

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

Table II

Demographical and laboratory parameters of BC patients and HV group.

FeatureBC Patients (n = 66)HV group (n = 30)p
Age (years)50.48 ± 9.9147.67 ± 12.380.236
PON1 activity (U/L)142.90 ± 86.98161.00 ± 99.190.464
ARE activity (U/L)227.80 ± 55.16232.10 ± 43.970.709
TOS (μmol H2O2 equivalent/L)58.28 (39.06–63.22)5.53 ± 1.74<0.001*
TAS (Trolox equivalent/L)0.95 ± 0.301.05 ± 0.170.117
OSI (Arbitrary Unit)62.01 ± 33.255.97 ± 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

Table III

Demographical and laboratory parameters of BDM and NBDM Groups.

FeatureNBDM (n = 29)BDM (n = 37)p
Age (years)47.93 ± 11.2952.49 ± 8.280.063
PON1 activity (U/L)162.50 ± 93.99132.90 ± 86.310.189
ARE activity (U/L)235.80 ± 48.77221.60 ± 59.600.303
TOS (μmol H2O2 equivalent/L)50.60 ± 16.6660.23 (52.12–63.01)0.299
TAS (Trolox equivalent/L)0.91 ± 0.271.00 ± 0.320.210
OSI (Arbitrary Unit)60.87 ± 33.6562.90 ± 33.380.807
HbA1c (%)5.35 ± 0.336.10 (5.90–6.55)<0.001*
Fasting glucose (mmol/L)5.94 ± 0.537.10 (6.83 ± 7.85)<0.001*
LDL-C (mmol/L)3.28 ± 1.043.43 ± 0.850.513
HDL-C (mmol/L)1.27 ± 0.311.14± 0.330.126
TG (mmol/L)1.49 ± 0.661.85 ± 0.700.041**

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 PolymorphismsGenotypeFrequencyAlleleFrequency
n%n=132n%
NBDM (n=29)LL1344.8 %L4170.6%
LM1551.7 %M1729.4%
MM13.4 %
BDM (n=37)LL1232.4 %L4662.2%
LM2259.5 %M2837.8%
MM38.1 %
p0.243<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 PolymorphismsGenotypeFrequencyAllele n=132Frequency
n%n%
NBDM (n=29)QQ827.6%Q3255.2%
QR1655.2%R2644.8%
RR517.2%
BDM (n=37)QQ1848.6%Q5472.9%
QR1848.6%R2027.1%
RR12.7%
p0.021**<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.

  21 in total

1.  Paraoxonase 1 genetic polymorphisms and susceptibility to breast cancer: a meta-analysis.

Authors:  Mostafa Saadat
Journal:  Cancer Epidemiol       Date:  2011-11-30       Impact factor: 2.984

2.  Serum paraoxonase-1 (PON1) activities (PONase/AREase) and polymorphisms in patients with type 2 diabetes mellitus in a North-West Indian population.

Authors:  Nidhi Gupta; B K Binukumar; Surjit Singh; Aditya Sunkaria; Ramesh Kandimalla; Anil Bhansali; Kiran Dip Gill
Journal:  Gene       Date:  2011-07-26       Impact factor: 3.688

3.  Increased oxidative stress in children exposed to passive smoking.

Authors:  Mustafa Kosecik; Ozcan Erel; Eylem Sevinc; Sahabettin Selek
Journal:  Int J Cardiol       Date:  2005-04-08       Impact factor: 4.164

Review 4.  Relationship between HbA1c and cancer in people with or without diabetes: a systematic review.

Authors:  C Hope; A Robertshaw; K L Cheung; I Idris; E English
Journal:  Diabet Med       Date:  2016-01-05       Impact factor: 4.359

5.  Diabetes and cancer: a consensus report.

Authors:  Edward Giovannucci; David M Harlan; Michael C Archer; Richard M Bergenstal; Susan M Gapstur; Laurel A Habel; Michael Pollak; Judith G Regensteiner; Douglas Yee
Journal:  Diabetes Care       Date:  2010-07       Impact factor: 19.112

Review 6.  Oxidative stress and antioxidants in disease and cancer: a review.

Authors:  Rakesh Kumar Gupta; Amit Kumar Patel; Niranjan Shah; Arun Kumar Chaudhary; Uday Kant Jha; Uday Chandra Yadav; Pavan Kumar Gupta; Uttam Pakuwal
Journal:  Asian Pac J Cancer Prev       Date:  2014

7.  Paraoxonase polymorphisms PON1 192 and 55 and longevity in Italian centenarians and Irish nonagenarians. A pooled analysis.

Authors:  Irene M Rea; Pascal P McKeown; Dorothy McMaster; Ian S Young; Chris Patterson; Maurice J Savage; Christine Belton; Francesca Marchegiani; Fabiola Olivieri; Massimiliano Bonafe; Claudio Franceschi
Journal:  Exp Gerontol       Date:  2004-04       Impact factor: 4.032

8.  Increased oxidative stress in patients with hydatidiform mole.

Authors:  Muge Harma; Mehmet Harma; Ozcan Erel
Journal:  Swiss Med Wkly       Date:  2003-11-01       Impact factor: 2.193

9.  Oxidative imbalance in bipolar disorder subtypes: a comparative study.

Authors:  Mehmet Yumru; Haluk A Savas; Aysun Kalenderoglu; Mahmut Bulut; Hakim Celik; Ozcan Erel
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2009-06-12       Impact factor: 5.067

10.  Diabetes and breast cancer risk: a meta-analysis.

Authors:  P Boyle; M Boniol; A Koechlin; C Robertson; F Valentini; K Coppens; L-L Fairley; M Boniol; T Zheng; Y Zhang; M Pasterk; M Smans; M P Curado; P Mullie; S Gandini; M Bota; G B Bolli; J Rosenstock; P Autier
Journal:  Br J Cancer       Date:  2012-09-20       Impact factor: 7.640

View more
  1 in total

1.  Oxidative Stress and Inflammation Are Associated with Coexistent Severe Multivessel Coronary Artery Stenosis and Right Carotid Artery Severe Stenosis in Elderly Patients.

Authors:  Xia Li; Dianxuan Guo; Youdong Hu; Ying Chen
Journal:  Oxid Med Cell Longev       Date:  2021-12-22       Impact factor: 6.543

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.