Open Access

Correlation analysis of mRNA expression and prognosis of hOGG1 gene polymorphism in patients with non-small cell lung cancer

  • Authors:
    • Jing Wang
    • Puzhao Wu
  • View Affiliations

  • Published online on: July 5, 2019     https://doi.org/10.3892/ol.2019.10586
  • Pages: 2310-2315
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

Level of mRNA expression and gene polymorphism of human 8-hydroxyguanine glycosidase 1 (hOGG1) in patients with non-small cell lung cancer (NSCLC) were investigated. A polymorphism analysis of hOGG1 gene rs1052133 locus in 182 NSCLC patients (NSCLC group) surgically treated in Xiang Yang No. 1 People's Hospital, Hubei University of Medicine from January 2008 to January 2012 and 200 healthy individuals (control group) was performed. The expression level of hOGG1 was compared between cancer tissues and adjacent tissues of NSCLC patients, and the survival rate was analyzed. The expression level of hOGG1 was significantly higher in cancer tissues than that in adjacent tissues (P<0.001). Taqman probe method was used to detect the genotypes of hOGG1 polymorphism locus rs1052133, with the genotype distribution frequencies of NSCLC group (P=0.411) and control group (P=0.354) consistent with the Hardy-Weinberg equilibrium. The proportion of C/C gene was significantly higher in NSCLC group than that in control group (P=0.008, OR=2.2, 95%, CI=1.27-4.52). The median value of the hOGG1 expression level in detection results as the boundary, NSCLC patients were divided into hOGG1 high expression group (≥3.61) with 91 cases and hOGG1 low expression group (<3.61) with 91 cases. The 1-, 2- and 3-year survival rates of patients in hOGG1 low expression group were significantly higher than those in hOGG1 high expression group (P=0.007). The 3-year survival rate in hOGG1 low expression group is significantly higher than that in hOGG1 high expression group (P=0.007). The sensitivity, specificity and AUC of hOGG1 to patient survival prediction were 83.33%, 64.29%, and 0.816, respectively. In conclusion, hOGG1 is highly expressed in NSCLC tissues. Compared to S/S and S/C genotypes, the C/C gene was found to be more common in NSCLC group than in control group. Thus, hOGG1 has a high predictive value for patient survival.

Introduction

Lung cancer is one of main malignant tumors that cause death in cancer patients, accounting for 10–13% of systemic malignant tumors, with non-small cell lung cancer (NSCLC) accounting for 80–85% of all lung cancers (1,2). Early NSCLC has no obvious specific clinical manifestations, so it is often ignored by patients who then miss the best treatment period, leading to high prognostic mortality of NSCLC (3). According to Gettinger et al (4), approximately 78% of NSCLC patients are in the middle or advanced stage when diagnosed, losing the chance of surgical cure. Planchard et al (5) reported that NSCLC patients have a 5-year survival rate of only 41.8%. At present, chemotherapy is the main non-surgical medical treatment for NSCLC. The clinical treatment of NSCLC chemotherapy is mainly to prolong the survival time of patients and improve their quality of life (6). Due to its high incidence and mortality, NSCLC is a hot research topic in the clinic.

The human 8-hydroxyguanine glycosidase 1 (hOGG1) gene is a DNA oxidative damage repair gene (7). It can recognize and specifically excise the oxidative damage product of DNA, 8-hydroxydeoxyguanine, repairing damaged DNA (8). The hOGG1 gene has a C/G polymorphism in the 1245th base of exon 7, making the 326th codon produce serine (S) or cysteine (C), resulting in S→C amino acid replacement (9). Related literature has reported (10,11) that the mutation of base C to G will lead to a decrease in the activity of hOGG1 enzyme, making the body susceptible to diseases such as tumors. Studies have reported (12) that the hOGG1 Ser326Cys polymorphism increases the susceptibility of high-risk prostates. However, currently, there are less related literature on the hOGG1 Ser326Cys (rs1052133) gene polymorphism and the prognosis in NSCLC patients. The aim of this study was to investigate the mRNA expression level and gene polymorphism of hOGG1 in NSCLC patients and analyze the prognostic significance.

Patients and methods

Patient data

A total of 182 NSCLC patients surgically treated in Xiang Yang No. 1 People's Hospital, Hubei University of Medicine (Xiangyang, China) from January 2008 to January 2012 were the NSCLC group, including 104 males and 78 females, aged 26–71 years, with an average age of 52.57±2.75 years. Two hundred healthy individuals in Xiang Yang No. 1 People's Hospital, Hubei University of Medicine were the control group, including 111 males and 89 females, aged 25–67 years, with an average age of 54.16±3.04 years. All the patients had complete clinical and follow-up data. Electrocardiogram, blood routine and liver and kidney function of patients were normal. Patients with communication impairment or cognitive dysfunction were excluded. All the patients and their families signed an informed consent form and cooperated with medical staff to complete relevant medical treatment. It was found that there was no significant difference in terms of sex, age, smoking, drinking and chronic diseases between the two groups (P>0.05), indicating that the experimental results are accurate and credible. Details of subject basic data are shown in Table I. This study was approved by Xiang Yang No. 1 People's Hospital, Hubei University of Medicine.

Table I.

Patient basic data of NSCLC group and control group [n (%)].

Table I.

Patient basic data of NSCLC group and control group [n (%)].

FactorsNSCLC group (n=182)Control group (n=200)χ2 valueP-value
Sex 0.1050.747
  Male104 (57.14)111 (55.50)
  Female  78 (42.86)  89 (44.50)
Age (years) 2.3180.128
  <40  85 (46.70)119 (59.50)
  ≥40  97 (53.30)  81 (40.50)
Smoking 0.3840.536
  Yes  98 (53.85)114 (57.00)
  No  84 (46.15)  86 (43.00)
Drinking 0.0250.876
  Yes  75 (41.21)  84 (42.00)
  No107 (58.79)116 (58.00)
Chronic diseases 0.1530.696
  Yes  81 (44.51)  93 (46.50)
  No101 (55.49)107 (53.50)
Pathological diagnosis typing
  Squamous cell carcinoma  93 (51.10)
  Adenocarcinoma  54 (29.67)
  Large cell carcinoma  35 (19.23)

[i] NSCLC, non-small cell lung cancer.

Extraction of total DNA and RNA

Fasting venous blood (5 ml) was collected from patients in NSCLC group and control group into EDTA anticoagulant tubes. The DNA in the blood was extracted strictly according to the instructions of the animal tissue/cell genomic DNA extraction kit (Shanghai Jingke Chemical Technology Co., Ltd., item no.: D1700). Cancer tissues and adjacent tissues surgically resected from patients in NSCLC group were added to the total RNA extraction reagent (Shanghai Kanglang Biotechnology Co., Ltd., item no.: KL101-151) to extract the RNA in tissues. The UV-9000S ultraviolet spectrophotometer (Jingfeile Instrument Co., Ltd.) was used to measure the quality and concentration of DNA and RNA at wavelengths of 260 and 280 nm. At OD260/OD280 value of approximately 1.8 the extracted DNA and RNA purity was considered satisfactory, when necessary, re-extraction and identification were performed.

RT-qPCR detection of hOGG1 expression

RT-PCR was used to detect the hOGG1 expression, and TRIzol kit (Wuhan Purity Biotechnology Co., Ltd., item no.: CD-13433-ML) to extract whole blood total RNA in strict accordance with the instructions. After the detection of nucleic acid concentration, the instructions of miRNA reverse transcription kit (Beijing Baiaolaibo Technology Co., Ltd., item no.: ALH266-PTO) was used for reverse transcription to generate cDNA. qPCR was performed, with β-actin as an internal reference, according to the PCR kit (Beijing Zhijiefangyuan Technology Co., Ltd., item no.: RR047A) instructions. qPCR reaction conditions: Pre-denaturation at 95°C for 3 min, and then 95°C for 30 sec, 58°C for 30 sec, 72°C for 30 sec, for a total of 35 cycles, and extension at 72°C for 10 min. After the reaction was completed, the temperature was raised to 95°C, then reduced to 60°C; then the temperature was gradually heated to 95°C in 20 min, then maintained for 15 sec. ABI 7900 PCR instrument was used for qPCR detection. The primer sequence of hOGG1 was designed and synthesized by Shanghai Jima Pharmaceutical Technology Co., Ltd., with β-actin as a reaction internal reference. Each group of samples was repeated 3 times. 2−∆Cq method was used to analyze the expression level of hOGG1 in the specimen (13). Primer sequences are shown in Table II.

Table II.

hOGG1 primer and internal reference sequences.

Table II.

hOGG1 primer and internal reference sequences.

Primer sequenceUpstream primerDownstream primerLength (bp)
hOGG1 5′-GGAAGGTGCTTGGGGAAT-3′ 5′-ACTGTCACTAGTCTCACCAG-3′200
β-actin 5′-ATCATGTTTGAGACCTTCAACA-3′ 5′-CATCTCTTGCTCGAAGTCCA-3′348

[i] hOGG1, human 8-hydroxyguanine glycosidase 1.

Genotyping

Taqman probe method was used for hOGG1 rs1052133 locus genotyping. The probe was designed and synthesized by Shanghai Jima Pharmaceutical Technology Co., Ltd., with probe sequences of 5′-FAM-CCAATGCCGCCATG-MGB-3′ and 5′-HEX-CGCCAATCCCGCCA-MGB-3′. A total of 5 µl Mix buffer, 0.5 µl upstream primer, 0.5 µl downstream primer, probe sequence (0.25 µl each) and 10 ng DNA (Invitrogen; Thermo Fisher Scientific, Inc.; cat. no. 15279011) were added, and deionized water was added to make a total volume of 10 µl. The American Bole PCR amplification instrument (Zhejiang Tuopuyunnong Technology Co., Ltd.) was used for amplification. PCR reaction conditions: pre-denaturation at 94°C for 3 min, at 94°C for 30 sec; annealing at 61°C for 30 sec, at 72°C for 30 sec, for a total of 30 cycles, and then extension at 72°C for 10 min. Taq DNA polymerase was purchased from GeneCopoeia.

Statistical analysis

SPSS 19.5 (Beijing Sichuangweida Information Technology Co., Ltd.) software statistical package was used for processing and analyzing data. Measurement data are expressed as mean ± standard deviation, and analyzed by t-test. Enumeration data were analyzed by Chi-square test. Survival data were analyzed using Kaplan-Meier survival curve and log rank test. ROC curve was used for the value of hOGG1 expression in the survival of patients with NSCLC. The genotype distribution was analyzed by the goodness-of-fit Chi-square test to determine whether it was consistent with the Hardy-Weinberg equilibrium. P<0.05 was considered to indicate a statistically significant difference.

Results

Comparison of subject general clinical data between NSCLC group and control group

To achieve accurate and credible experimental results, individuals were compared between two groups in terms of sex, age, smoking, drinking and chronic diseases, with no significant difference (P>0.05), which proves that the two groups of individuals are comparable (Table I).

Comparison of hOGG1 expression between cancer tissues and adjacent tissues of NSCLC patients

The results of RT-qPCR detection of hOGG1 showed that the expression level of hOGG1 was 3.61±0.38 in cancer tissues and 1.37±0.25 in adjacent tissues in NSCLC group of patients. Expression of hOGG1 was significantly higher in cancer tissues than that in adjacent tissues in NSCLC group of patients, with a statistically significant difference (t=68.630, P<0.001) (Fig. 1).

Hardy-Weinberg equilibrium test of hOGG1 genotype distribution frequency and distribution of genotypes in each group

The genotypes of hOGG1 polymorphism locus rs1052133 in NSCLC group and control group included S/S, S/C and C/C genotypes, with the genotype distribution frequencies of NSCLC group (χ2=0.732, P=0.411) and control group (χ2=0.642, P=0.354) consistent with the Hardy-Weinberg equilibrium. In NSCLC group of patients, there were 6 cases of S/S type, 65 cases of S/C type and 111 cases of C/C type. In control group of patients, there were 15 cases of S/S type, 90 cases of S/C type and 95 cases of C/C type. Compared to S/S and S/C genotypes, the C/C gene was found to be more common in NSCLC group than in control group (P<0.05, OR=2.2, 95%, CI=1.27–4.52). Compared with allele S, it was found that allele C was more common in NSCLC group than in control group (P<0.05) (Table III).

Table III.

Distribution of polymorphism locus gene and genotypes in each group.

Table III.

Distribution of polymorphism locus gene and genotypes in each group.

Polymorphism locusNSCLC group (n=182)Control group (n=200)χ2 valueP-value
rs1052133
  Genotype
    S/S  6 (3.30)15 (7.50)   3.2410.072a
    S/C  65 (35.71)90 (45.00)   5.6380.018b
    C/C111 (60.99)95 (47.50)23.631 <0.001c
  Allele   7.7930.005
    S  77 (21.15)120 (30.00)
    C287 (78.85)280 (70.00)

a Compared with S/C+C/C

b compared with S/S+C/C

c compared with S/S+S/C. NSCLC, non-small cell lung cancer.

Expression and gene polymorphism of hOGG1 and prognosis of NSCLC patients

Patients were followed up for 3 years by telephone, review or letter, to the last date of follow up. i.e., December 2017 or if patients died. The median value of the hOGG1 expression level in detection results as the boundary, NSCLC patients were divided into hOGG1 high expression group (≥3.61) with 91 cases and hOGG1 low expression group (<3.61) with 91 cases. The 1-, 2- and 3-year survival rates of patients in hOGG1 low expression group were 87.91, 70.33, and 63.74%, respectively. Those of patients in hOGG1 high expression group were 79.12, 56.04, and 43.96%, respectively. Those of patients in hOGG1 low expression group were significantly higher than those in hOGG1 high expression group (P=0.007). The number of S/S+S/C was small, so they were merged into one group. Those of patients with hOGG1 rs1052133 of S/S+S/C genotypes were 83.10, 52.11, and 45.07%, respectively, and those of patients with C/C genotype were 80.18, 48.65, and 36.04%, respectively, with no significant difference (P=0.365) (Figs. 2 and 3).

Predictive value of hOGG1 expression in survival of patients with NSCLC

At 3 years, 98 patients with NSCLC survived, and 84 patients had died. Patients were seperated into the survival group and the death group according to the survival. The hOGG1 expression in the survival group was 3.32±0.34, and the hOGG1 expression in the death group was 3.81±0.39. The sensitivity, specificity and AUC of hOGG1 for survival prediction were 83.33%, 64.29%, and 0.816, respectively (Fig. 4).

Discussion

Substantial data has shown that hOGG1 polymorphism is closely related to a variety of malignant tumors, such as bladder cancer, breast cancer and rectal cancer (14,15). Therefore, the hOGG1 gene polymorphism and the prognosis were analyzed. First, the Hardy-Weinberg equilibrium analysis was performed on the hOGG1 genotype distribution frequency in NSCLC group and control group of patients. The results showed that there was no difference in the gene frequency between them. The genotypes of hOGG1 polymorphism locus rs1052133 in NSCLC group and control group included S/S, S/C, and C/C genotypes. In NSCLC group of patients, there were 6 cases of S/S type, 65 cases of S/C type and 111 cases of C/C type. In control group of patients, there were 15 cases of S/S type, 90 cases of S/C type and 95 cases of C/C type. Compared to S/S and S/C genotypes, the C/C gene was found to be more common in NSCLC group than in control group. However, there was no significant difference in the 1-, 2- and 3-year survival rates of patients with hOGG1 rs1052133 of S/S+S/C genotypes and C/C genotypes. The mutation of hOGG1 gene forms Ser326 and Cys326 results in low ability of hOGG1 to repair 8-hydroxy-deoxyguanine (8-oxoG). Having high mutagenicity, 8-oxoG is closely related to the occurrence and development of tumors, leading to an increased risk of cancers (16). Studies have reported (17) that when hOGG1 repairs DNA damage caused by 8-oxoG, it is found that the repair ability of the C allele is approximately 7 times lower than that of the S allele. According to reports by Wang et al (18), people in Southeast Asia who carry C/C genotype have a significantly higher risk of developing liver cancer than those who carry S/C or S/S genotypes. According to Xie et al (19), the risk of death in patients with nasopharyngeal carcinoma with hOGG1 mutant genotype will be significantly higher than that of wild genotypes. Their results are consistent with the results of this study, which further support our experiments. It is indicated that rs1052133 locus can be used for NSCLC gene screening, but is not related to survival prognosis.

A retrospective analysis of clinical data of 182 NSCLC patients and 200 healthy individuals was performed. The results of RT-qPCR detection showed that the expression level of hOGG1 was significantly higher in cancer tissues than that in adjacent tissues in NSCLC group of patients, with a statistically significant difference. The median value of the hOGG1 expression level in detection results as the boundary, NSCLC patients were divided into hOGG1 high expression group and hOGG1 low expression group. The 1-, 2- and 3-year survival rates of patients in hOGG1 low expression group were significantly higher than those in hOGG1 high expression group. AUC of hOGG1 expression in the survival prediction of patients with NSCLC was 0.816 which is a high predictive value. Studies have reported that the expression of most oncogenes and tumor suppressor genes can affect the proliferation and differentiation of tumor cells, correlated with the occurrence and development and prognosis of tumors (20). As a glycosidase that repairs oxidative DNA damage in humans, hOGG1 is closely related to the maintenance of the normal function of human genes and the occurrence and development of cancers (21). hOGG1 gene polymorphism has been reported to be important in a variety of digestive system cancers, closely related to the prognosis of various cancers. hOGG1 gene can inhibit the proliferation of lung cancer cells and the growth of lung cancer tumors (22). According to studies by Zhou et al (23), the hOGG1 expression in serum of patients with acute leukemia depression is higher than that in normal patients, which further supports our experimental results.

There are still some shortcomings in this study. For example, the specimen number selected for the study is small, due to limited experimental conditions. In addition, there may be differences in the hOGG1 gene polymorphism in NSCLC patients in different regions. Moreover, individual differences after treatment and intervention were not taken into consideration.

In summary, hOGG1 is highly expressed in NSCLC tissues. Compared to S/S and S/C genotypes, the C/C gene was found to be more common in NSCLC group than in control group. hOGG1 has a high predictive value for patient survival. More studies on this polymorphism locus will be carried out in subsequent studies to determine whether this polymorphism can serve as a molecular marker for the risk of NSCLC.

Acknowledgements

Not applicable.

Funding

No funding was received.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors' contributions

JW drafted the manuscript. JW and PW conceived and designed the study. PW performed RT-qPCR and genotyping. JW and PW were equal contributors in extraction of total DNA and RNA. Both authors read and approved the final manuscript.

Ethics approval and consent to participate

This study was approved by Xiang Yang No. 1 People's Hospital, Hubei University of Medicine (Xiangyang, China). Signed informed consents were obtained from the patients and/or guardians.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References

1 

Fehrenbacher L, Spira A, Ballinger M, Kowanetz M, Vansteenkiste J, Mazieres J, Park K, Smith D, Artal-Cortes A, Lewanski C, et al POPLAR Study Group, : Atezolizumab versus docetaxel for patients with previously treated non-small-cell lung cancer (POPLAR): A multicentre, open-label, phase 2 randomised controlled trial. Lancet. 387:1837–1846. 2016. View Article : Google Scholar : PubMed/NCBI

2 

Masters GA, Johnson DH and Temin S: Systemic therapy for stage IV non-small-cell lung cancer: American Society of Clinical Oncology Clinical Practice Guideline Update. J Oncol Pract. 12:90–93. 2016. View Article : Google Scholar : PubMed/NCBI

3 

Jamal-Hanjani M, Wilson GA, McGranahan N, Birkbak NJ, Watkins TBK, Veeriah S, Shafi S, Johnson DH, Mitter R, Rosenthal R, et al TRACERx Consortium, : Tracking the evolution of non-small-cell lung cancer. N Engl J Med. 376:2109–2121. 2017. View Article : Google Scholar : PubMed/NCBI

4 

Gettinger S, Rizvi NA, Chow LQ, Borghaei H, Brahmer J, Ready N, Gerber DE, Shepherd FA, Antonia S, Goldman JW, et al: Nivolumab monotherapy for first-line treatment of advanced non-small-cell lung cancer. J Clin Oncol. 34:2980–2987. 2016. View Article : Google Scholar : PubMed/NCBI

5 

Planchard D, Yokoi T, McCleod MJ, Fischer JR, Kim YC, Ballas M, Shi K and Soria JC: A phase III study of durvalumab (MEDI4736) with or without tremelimumab for previously treated patients with advanced NSCLC: Rationale and protocol design of the ARCTIC study. Clin Lung Cancer. 17:232–236.e1. 2016. View Article : Google Scholar : PubMed/NCBI

6 

Emdad L, Lebedeva IV, Su ZZ, Gupta P, Sarkar D, Settleman J and Fisher PB: Combinatorial treatment of non-small-cell lung cancers with gefitinib and Ad.mda-7 enhances apoptosis-induction and reverses resistance to a single therapy. J Cell Physiol. 210:549–559. 2007. View Article : Google Scholar : PubMed/NCBI

7 

Cravens SL and Stivers JT: Comparative effects of ions, molecular crowding, and bulk DNA on the damage search mechanisms of hOGG1 and hUNG. Biochemistry. 55:5230–5242. 2016. View Article : Google Scholar : PubMed/NCBI

8 

Kadıoğlu E, Taçoy G, Özçağlı E, Okyay K, Akboğa MK, Çengel A and Şardaş S: The role of oxidative DNA damage and GSTM1, GSTT1, and hOGG1 gene polymorphisms in coronary artery disease risk. Anatol J Cardiol. 16:931–938. 2016.PubMed/NCBI

9 

Alanazi M, Pathan AAK, Shaik JP, Alhadheq A, Khan Z, Khan W, Al Naeem A and Parine NR: The hOGG1 Ser326Cys gene polymorphism and breast cancer risk in Saudi population. Pathol Oncol Res. 23:525–535. 2017. View Article : Google Scholar : PubMed/NCBI

10 

Sliwinska A, Kwiatkowski D, Czarny P, Toma M, Wigner P, Drzewoski J, Fabianowska-Majewska K, Szemraj J, Maes M, Galecki P, et al: The levels of 7,8-dihydrodeoxyguanosine (8-oxoG) and 8-oxoguanine DNA glycosylase 1 (OGG1) - A potential diagnostic biomarkers of Alzheimer's disease. J Neurol Sci. 368:155–159. 2016. View Article : Google Scholar : PubMed/NCBI

11 

Li Z, Guan W, Li MX, Zhong ZY, Qian CY, Yang XQ, Liao L, Li ZP and Wang D: Genetic polymorphism of DNA base-excision repair genes (APE1, OGG1 and XRCC1) and their correlation with risk of lung cancer in a Chinese population. Arch Med Res. 42:226–234. 2011. View Article : Google Scholar : PubMed/NCBI

12 

Cao WJ, Lu JZ, Li C, Gao YJ, Lu KQ, Wang HZ and Wang ZP: The hOGG1 Ser326Cys gene polymorphism and susceptibility for bladder cancer: A meta-analysis. Int Braz J Urol. 42:883–896. 2016. View Article : Google Scholar : PubMed/NCBI

13 

Livak KJ and Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods. 25:402–408. 2001. View Article : Google Scholar : PubMed/NCBI

14 

Sanjari Moghaddam A, Nazarzadeh M, Bidel Z, Karamatinia A, Darvish H and Mosavi Jarrahi A: hOGG1 gene polymorphism and breast cancer risk: A systematic review and meta-analysis study. Breast J. 24:70–73. 2018. View Article : Google Scholar : PubMed/NCBI

15 

Zhang M and Mo R: Association of hOGG1 Ser326Cys polymorphism with colorectal cancer risk: An updated meta-analysis including 5235 cases and 8438 controls. Tumour Biol. 35:12627–12633. 2014. View Article : Google Scholar : PubMed/NCBI

16 

Lukina MV, Kuznetsova AA, Kuznetsov NA and Fedorova OS: The kinetic analysis of recognition of the damaged nucleotides by mutant forms of the 8-oxoguanine DNA glycosylase hOGG1. Russ J Bioorganic Chem. 43:1–12. 2017. View Article : Google Scholar

17 

Kohno T, Shinmura K, Tosaka M, Tani M, Kim SR, Sugimura H, Nohmi T, Kasai H and Yokota J: Genetic polymorphisms and alternative splicing of the hOGG1 gene, that is involved in the repair of 8-hydroxyguanine in damaged DNA. Oncogene. 16:3219–3225. 1998. View Article : Google Scholar : PubMed/NCBI

18 

Wang W, Dang S, Li Y, Sun M, Jia X, Wang R and Liu J: hOGG1 Ser326Cys polymorphism and risk of hepatocellular carcinoma among East Asians: A meta-analysis. PLoS One. 8:e601782013. View Article : Google Scholar : PubMed/NCBI

19 

Xie Y, Wu Y, Zhou X, Yao M, Ning S and Wei Z: Association of polymorphisms hOGGI rs1052133 and hMUTYH rs3219472 with risk of nasopharyngeal carcinoma in a Chinese population. Onco Targets Ther. 9:755–760. 2016.PubMed/NCBI

20 

Tan H: On the protective effects of gene SNPs against human cancer. EBioMedicine. 33:4–5. 2018. View Article : Google Scholar : PubMed/NCBI

21 

Corella D, Ramírez-Sabio JB, Coltell O, Ortega-Azorín C, Estruch R, Martínez-González MA, Salas-Salvadó J, Sorlí JV, Castañer O, Arós F, et al: Effects of the Ser326Cys polymorphism in the DNA repair OGG1 gene on cancer, cardiovascular and all-cause mortality in the PREDIMED study: Modulation by diet. J Acad Nutr Diet. 118:589–605. 2018. View Article : Google Scholar : PubMed/NCBI

22 

Wang Y, Gao X, Wei F, Zhang X, Yu J, Zhao H, Sun Q, Yan F, Yan C, Li H, et al: The hOGG1 Ser326Cys polymorphism contributes to digestive system cancer susceptibility: Evidence from 48 case-control studies. Tumour Biol. 36:1029–1038. 2015. View Article : Google Scholar : PubMed/NCBI

23 

Zhou F, Zhang W, Wei Y, Zhou D, Su Z, Meng X, Hui L and Tian W: The changes of oxidative stress and human 8-hydroxyguanine glycosylase1 gene expression in depressive patients with acute leukemia. Leuk Res. 31:387–393. 2007. View Article : Google Scholar : PubMed/NCBI

Related Articles

Journal Cover

September-2019
Volume 18 Issue 3

Print ISSN: 1792-1074
Online ISSN:1792-1082

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Wang J and Wang J: Correlation analysis of mRNA expression and prognosis of hOGG1 gene polymorphism in patients with non-small cell lung cancer. Oncol Lett 18: 2310-2315, 2019
APA
Wang, J., & Wang, J. (2019). Correlation analysis of mRNA expression and prognosis of hOGG1 gene polymorphism in patients with non-small cell lung cancer. Oncology Letters, 18, 2310-2315. https://doi.org/10.3892/ol.2019.10586
MLA
Wang, J., Wu, P."Correlation analysis of mRNA expression and prognosis of hOGG1 gene polymorphism in patients with non-small cell lung cancer". Oncology Letters 18.3 (2019): 2310-2315.
Chicago
Wang, J., Wu, P."Correlation analysis of mRNA expression and prognosis of hOGG1 gene polymorphism in patients with non-small cell lung cancer". Oncology Letters 18, no. 3 (2019): 2310-2315. https://doi.org/10.3892/ol.2019.10586