Abstract
Yifei Wu1,*, Mengdan Yan1,2,*, Jing Li1,2, Jingjie Li1,2, Zhengshuai Chen1,2, Peng Chen1,2,3, Bin Li1,2, Fulin Chen1, Tianbo Jin1,2, Chao Chen1
1Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, Xi’an, Shaanxi 710069, China
2Xi’an Tiangen Precision Medical Institute, Xi’an, Shaanxi 710075, China
3Institution of Basic Medical Science, Xi'an Medical University, Xi’an, Shaanxi 710021, China
*These authors have contributed equally to this work
Correspondence to:
Tianbo Jin, email: [email protected]
Chao Chen, email: [email protected]
Keywords: TERT, SNP, esophageal cancer, susceptibility, northwest Chinese population
Received: August 26, 2016 Accepted: December 13, 2016 Published: January 2, 2017
ABSTRACT
Single nucleotide polymorphisms (SNPs) in TERT may be associated with susceptibility to esophageal cancer. In this study, we analyzed the association between TERT SNPs and risk of esophageal cancer in 386 esophageal cancer patients and 495 healthy subjects from the Xi’an area of China. Of the four SNPs examined, rs10069690 and rs2242652 were correlated with esophageal cancer risk. Additionally, after adjusting for age and gender, the “Trs10069690Ars2242652”, “Trs10069690Grs2242652” haplotypes were associated with an increased risk of esophageal cancer, while the and “Crs10069690Grs2242652” haplotype was associated with a decreased risk of esophageal cancer. These findings suggest that TERT polymorphisms may contribute to the development of esophageal cancer.
INTRODUCTION
Esophageal cancer is the sixth leading cause of cancer-related death worldwide, and an estimated 500,000 new cases are diagnosed each year [1]. In China, esophageal cancer was the fifth most commonly diagnosed cancer and the fourth leading cause of cancer-related death in 2009 [2]. Esophageal cancer is very aggressive and is associated with a poor prognosis [3]. Esophageal cancer can be categorized as one of two histological types, adenocarcinoma and squamous cell carcinoma (SCC), each of which have distinct etiologies and specific risk factors [4]. Esophageal squamous cell carcinoma (ESCC) accounts for more than 90 percent of esophageal cancers [5] and is the major histological subtype in East Asian countries [6]. Smoking and alcohol consumption are major risk factors for ESCC [7]. The incidence of esophageal cancer has increased markedly worldwide in recent decades, and this increase can be mainly attributed to higher incidences of esophageal adenocarcinoma in North America [8, 9], Europe [10], and Japan [11]. Meanwhile, the incidence of ESCC has remained stable or declined [8, 10].
Telomerase, a reverse transcriptase that carries its own templates, maintains telomere length by synthesizing telomeric DNA repeats. Many events can result in telomere dysfunctions, including gradual shortening caused by incomplete chromosome replication, oxidative DNA damage, or mutations in structural proteins, such as TERT [12]. TERT is the reverse transcriptase catalytic subunit of telomerase, and the activation of both TERT and telomerase plays a key role in cellular immortalization and transformation [13]. In addition, multiple independent variants at the TERT locus are associated with telomere length and risk of malignant tumors [14]. TERT uses the RNA subunit of telomerase as a template for the synthesis of single-stranded DNA in the telomeric region of the chromosome, resulting in tandem nucleotide repeats that prevent shortening of the chromosome. Telomerase activity, which is elevated in most cancer cells, may block apoptosis or senescence in cancer cells [15]. Several studies have shown that TERT promotes tumor invasion and metastasis in gastric, liver, and esophageal cancer [16–18].
In this study, we conducted an extensive association analysis to evaluate the roles of TERT gene polymorphisms and haplotypes on susceptibility to esophageal cancer in a population of northwestern Chinese patients from a single case-control study. Four TERT single nucleotide polymorphisms (SNPs) were examined in this association analysis in an attempt to identify markers that might guide intervention decisions and improve patient survival.
RESULTS
The genotypes of 881 participants, including 386 esophageal cancer patients and 495 controls, were analyzed in this study. Basic patient characteristics (gender and age) are listed in Table 1. 79.8% of the esophageal cancer patients were men and 20.2% were women, while 36.4% of the controls were men and 63.6% were women. The mean ages were 60.68 (±8.954) years for esophageal cancer patients and 54.48 (±9.438) years for controls.
Table 1: General characteristics the of this study population
Variable | Cases | Controls |
|---|---|---|
n = 386 | n = 495 | |
Gender | ||
Male | 308 (79.8%) | 180 (36.4%) |
Female | 78 (20.2%) | 315 (63.6%) |
Age, year (mean ±SD) | 60.68 ±8.954 | 54.48 ±9.438 |
Four SNPs in the TERT gene were genotyped in the esophageal cancer patients and the healthy controls. Table 2 summarizes the basic characteristics of these TERT SNPs in the study population. All four SNPs conformed to HWE in the control group (p > 0.05), and two-sided Pearson chi-square tests were used to identify differences in allele frequency distributions between esophageal cancer patients and controls. The rs10069690, rs2242652, and rs2853676 SNPs were associated with 1.70-fold (95% CI, 1.33 - 12.18, p = 2.50E-05), 1.48-fold (95% CI, 1.17 - 1.89, p = 0.001), and 1.33-fold (95% CI, 1.04 – 1.70, P = 0.023) increases in the risk of developing esophageal cancer, respectively. Two of these SNPs (rs10069690 and rs2242652) were still correlated with esophageal cancer in the allelic model after Bonferroni correction.
Table 2: Frequency distributions of TERT alleles and their associations with esophageal cancer risk
SNP ID | Position | Allele A*/B | MAF | HWE-p | ORs (95% CI) | ap-value | bp-value | |
|---|---|---|---|---|---|---|---|---|
Cases | Controls | |||||||
rs10069690 | 1279790 | T/C | 0.22 | 0.14 | 0.27 | 1.70 (1.33 - 2.18) | 2.50E-05 | 1.0E-04 |
rs2242652 | 1280028 | A/G | 0.23 | 0.16 | 1 | 1.48 (1.17 - 1.89) | 0.001 | 0.004 |
rs2853677 | 1287194 | G/A | 0.40 | 0.38 | 0.44 | 1.14 (0.93 - 1.38) | 0.200 | 0.800 |
rs2853676 | 1288547 | T/C | 0.20 | 0.16 | 0.50 | 1.33 (1.04 - 1.70) | 0.023 | 0.092 |
Abbreviations: SNP = single nucleotide polymorphism, CI = confidence interval, HWE = Hardy-Weinberg Equilibrium, MAF = minor allele frequency, ORs = odds ratios.
Notes: *Minor allele; ap-values were calculated from two-sided Pearson chi-square tests for either allele frequency and bp-values were adjusted by Bonferroni correction; p-value < 0.05 indicates statistical significance.
Next, we examined the association between TERT SNPs and esophageal cancer risk using genetic models (Table 3); p-values were calculated using the Wald test. The “T/C-T/T” genotype at the rs10069690 SNP increased the risk of esophageal cancer in the dominant model (OR = 1.95; 95% CI, 1.43 – 2.73, p = 5.89E-06), and the “T” allele increased the risk of esophageal in the log-additive model (OR = 1.71; 95% CI, 1.33 – 2.20, p = 3.02E-05). These relationships in both the dominant model (p = 4.33E-05) and the log-additive model (p < 0.001) remained significant after adjustments for age and gender.
Table 3: Genotypic model analysis of relationship between SNPs and esophageal cancer risk
SNP | Model | Genotype | Cases | Controls | Without adjustment | With adjustment | bp-value | ||
|---|---|---|---|---|---|---|---|---|---|
ORs (95% CI) | p-value | ORs (95% CI) | ap-value | ||||||
rs10069690 | Dominant | C/C | 227 | 359 | 1 | ||||
T/C-T/T | 155 | 126 | 1.95 (1.46 - 2.60) | 5.89E-06 | 1.97 (1.43- 2.73) | 4.33E-05 | 1.732E-04 | ||
Recessive | C/C-C/T | 368 | 472 | 1 | |||||
TT | 14 | 13 | 1.39 (0.64 - 2.96) | 0.41 | 1.48 (0.62 - 3.51) | 0.3794 | 1 | ||
Log-additive | - | - | - | 1.71 (1.33 - 2.20) | 3.02E-05 | 1.73 (1.31 - 2.31) | < 0.001 | <0.005 | |
rs2242652 | Dominant | G/G | 224 | 346 | 1 | ||||
G/A-A/A | 158 | 149 | 1.64 (1.24 - 2.17) | 5.5E-04 | 1.59 (1.16 - 2.18) | 0.004 | 0.016 | ||
Recessive | G/G-G/A | 368 | 482 | 1 | |||||
A/A | 14 | 13 | 1.41 (0.66 - 3.04) | 0.38 | 1.48 (0.62 - 3.50) | 0.378 | 1 | ||
Log-additive | - | - | - | 1.51 (1.18 - 1.93) | 0.001 | 1.48 (1.12 - 1.95) | 0.006 | 0.024 | |
rs2853676 | Dominant | C/C | 248 | 355 | 1 | ||||
C/T-T/T | 138 | 140 | 1.41 (1.06 - 1.88) | 0.18 | 1.44 (1.05 - 1.99) | 0.026 | 0.104 | ||
Recessive | C/T-T/T | 372 | 481 | 1 | |||||
T/T | 14 | 14 | 1.29 (0.61 - 2.75) | 0.5 | 1.33 (0.56 - 3.12) | 0.520 | 1 | ||
Log-additive | - | - | - | 1.33 (1.04 - 1.70) | 0.24 | 1.36 (1.02 - 1.79) | 0.034 | 1 | |
rs2853677 | Dominant | AA | 140 | 202 | 1 | 1 | |||
A/G-G/G | 241 | 293 | 1.19 (0.90 -1.56) | 0.22 | 1.26 (0.92 – 1.71) | 0.15 | 0.60 | ||
Recessive | A/G-A/A | 319 | 424 | 1 | 1 | ||||
G/G | 62 | 71 | 1.16 (0.80 - 1.68) | 0.43 | 1.39 (0.91 - 2.12) | 0.13 | 0.52 | ||
Log-additive | - | - | - | 1.13 (0.93 - 1.37) | 0.21 | 1.22 (0.98 – 1.52) | 0.07 | 0.28 | |
Abbreviations: CI = confidence interval, OR = odds ratio, SNP = single nucleotide polymorphism.
Notes: p-values were calculated by Wald test and p-value < 0.05 indicates statistical significance;
ap-value were adjusted by gender and age and bp-value were adjusted by Bonferroni correction.
For the rs2242652 SNP, the “G/A-A/A” genotype increased the risk of esophageal cancer 1.64-fold (95% CI, 1.24 - 2.197; p = 5.5E-04) in the dominant model, and the “A” allele increased the risk 1.48-fold (95% CI, 1.18 - 1.93; p = 0.001) in the log-additive model. In addition, after adjustment for age and gender, the “G/A-A/A” genotype increased the risk of lung cancer 1.59-fold (p = 0.004) and the “A” allele increased the risk 1.48-fold (p = 0.006).
Interestingly, a third SNP (rs2853676) was associated with susceptibility to esophageal cancer after adjustment for age and gender. Specifically, the “C/T-T/T” genotype increased the risk of esophageal cancer in the dominant model (OR = 1.44; 95% CI, 1.05 – 1.99, p = 0.026), and the “T” allele increased the risk in the log-additive model (OR = 1.36; 95% CI, 1.02 – 1.79, p = 0.034). After the Bonferroni correction, mutations at rs10069690 (dominant p = 1.732E-04; additive p < 0.005) and rs2242652 (dominant p = 0.016; additive p = 0.024) were still associated with an increased risk of esophageal cancer.
TERT polymorphisms were further characterized using linkage disequilibrium (LD) and haplotype analyses. LD was determined pairwise among all four SNPs, the haplotype structure of the TERT gene was analyzed, and single LD blocks consisting of two SNPs (rs10069690 and 2242652) were detected (Figure 1).
Figure 1: Linkage disequilibrium patterns for four TERT SNPs.
Finally, a haplotype-based association study was performed to examine associations between TERT haplotype and risk of esophageal cancer (Table 4), and p-values were calculated using the Wald test. After adjusting for age and gender, the “TA” (95% CI, 1.91 – 2.12; p = 0.002) and “TG” (95% CI, 1.20 – 11.1; p = 0.022) haplotypes increased the risk of esophageal cancer 1.59-fold and 3.66-fold, respectively. In contrast, the “CG” haplotype was associated with a 0.61-fold decrease in the risk of esophageal cancer (95% CI, 0.46 – 0.81; p < 0.001).
Table 4: Haplotype analysis results in this study
Haplotype | Frequency | Without adjustment | With adjustment | ||||
|---|---|---|---|---|---|---|---|
rs10069690 | rs2242652 | Cases | Controls | ORs (95% CI) | p-value | ORs (95% CI) | p-value* |
T | A | 0.206 | 0.137 | 1.63 (1.26 - 2.11) | < 0.001 | 1.59 (1.91 - 2.12) | 0.002 |
C | A | 0.017 | 0.02 | 0.87 (0.43 - 1.79) | 0.71 | 0.83 (0.37 - 1.84) | 0.641 |
T | G | 0.015 | 0.006 | 2.38 (0.87 - 6.51) | 0.08 | 3.66 (1.20 - 11.1) | 0.022 |
C | G | 0.762 | 0.837 | 0.61 (0.47 - 0.78) | < 0.001 | 0.61 (0.46 - 0.81) | < 0.001 |
Abbreviations: CI = confidence interval, OR = odds ratio, SNP = single nucleotide polymorphism.
Notes: p-values were calculated by Wald test and p-value < 0.05 indicates statistical significance;
*Adjusted by gender and age.
DISCUSSION
In the present study, we systematically examined the impact of four SNPs in the TERT loci on susceptibility to esophageal cancer. We found that the rs10069690, rs2242652, and rs2853676 TERT genetic polymorphisms were associated with an increased risk of esophageal cancer in a northwestern Chinese patient population. To the best of our knowledge, this is the first case-control study to investigate this association.
The incidence of esophageal cancer is increasing worldwide. For example, in the United States, the incidence of esophageal cancer has increased six-fold over the last three decades [19]. Meanwhile, the incidence of SCC has remained stable in Europe and the United States [8, 10]. Furthermore, while the incidence of SCC remained constant in males, it increased slightly in females, in whom rates of smoking have also increased in recent decades. Genetic and environmental factors both play important roles in cancer pathogenesis. For example, nitrosamine exposure resulting from tobacco use has been associated with an increased risk of esophageal cancer [20, 21]. In addition, alcohol consumption is a risk factor for ESCC, but not for adenocarcinoma [21, 22]. Other important factors include low socioeconomic status, poor oral hygiene, and nutritional deficiencies [23–25].
As the main catalytic subunit of telomerase, TERT is essential for the maintenance of telomere DNA length in chromosomes [13]. Telomerase is an RNA-dependent DNA polymerase that synthesizes repeating TTAGGG DNA sequences, which bind many specialized proteins to the ends of the chromosome [26]. Telomeres prevent coding sequence erosion and protect chromosomes from rearrangements, fusion, and genome instability by aiding in complete chromosome replication and regulating gene expression [27]. The activation of telomerase is a vital step during cellular immortalization and malignant transformation in human cells, and many human malignancies are characterized by elevated TERT expression. TERT may therefore play an important role in cancer pathogenesis [13, 28]. The TERT gene sequence in general is thought to be indicative of an individual’s susceptibility to cancer [29–31], and epidemiological studies have identified associations between specific TERT polymorphisms and cancer development [29, 30].
Rs10069690 was originally discovered in a genome-wide association study of AAs [32], and we suspected that this SNP might also affect the risk of developing esophageal cancer. Another previous study found that the variant allele at TERT rs4246742 was inversely associated with breast cancer risk, while positive associations were found for rs10069690 (OR = 1.13), rs2242652 (OR = 1.51), and rs2853676 (OR 1.23) [33]. The rs2853676 polymorphism is also associated with an increased risk of glioma [34]. The additive ORs of the rs2853676 and rs2242652 SNPs for the risk of melanoma were 1.43 and 1.50, respectively [35]. Certain rs10069690 and rs2242652 SNP alleles are also associated with increased risk of estrogen receptor-negative cancers [14, 36]. Furthermore, recent studies have shown that rs2853677 is associated with the risk of lung adenocarcinoma in Japanese [37] and European [38] populations. Here, we found that the rs10069690, rs2242652, and rs2853676 TERT genetic polymorphisms were associated with an increased risk of esophageal cancer in a northwestern Chinese patient population; subsequent studies should be conducted to examine these associations in patients from other regions and ethnic groups.
We also identified an LD block consisting of the rs10069690 and 2242652 SNPs, both of which increased susceptibility to esophageal cancer. A previous study found that the rare Grs4246742Ars2736100Trs2853676 TERT haplotype was directly associated with telomere length [39]. Future studies should evaluate the association between the rs4246742 andrs2736100 SNPs and susceptibility to esophageal cancer.
Some limitations of the present study should be considered when interpreting the results. First, although there was sufficient statistical power for our analyses, the sample size in this study was relatively small. Second, associations between TERT polymorphisms and clinicopathological disease type were not evaluated in this study, and larger, well-designed studies are needed to confirm the associations observed here. Finally, both esophageal cancer patients and controls were enrolled at a single hospital and therefore may not be representative of the general population. Additional studies are needed to clarify the genetic mechanisms underlying esophageal carcinogenesis by fine-mapping the susceptibility regions of the variants.
In conclusion, we demonstrated that the rs10069690, rs2242652, and rs2853676 genetic polymorphisms in the TERT loci are associated with an increased risk of esophageal cancer in a northwestern Chinese patient population. Our results demonstrate the complex genetic regulation of telomere biology and the crucial role of telomerase in carcinogenesis. These results may also help improve the understanding of inter-population differences in esophageal cancer etiology, although the biological functions of these TERT SNPs need to be investigated in future studies. Finally, the esophageal cancer-associated molecular markers identified here might be useful as diagnostic and prognostic markers for esophageal cancer patient in future clinical studies.
MATERIALS AND METHODS
Ethics and consent
All subjects were informed of the purpose of the study and the experimental procedures involved. The Human Research Committee of the Tangdu Hospital for Approval of Research Involving Human Subjects approved the use of human tissue in this study. We also obtained signed informed consent from all participants.
Study participants
386 patients were recruited between August 2012 and July 2016 to participate in an ongoing molecular epidemiological study at the Department of Respiratory Physicians of the Tangdu Hospital affiliated with The Fourth Military Medical University in Xi’an, China. All subjects were screened by examining endoscopic staining with 1.2% iodine solution, and biopsies were taken from non-staining stained mucosal areas for each patient. Tissue sections were reviewed by two experienced pathologists to ensure that tumor cell purity was greater than 50% and to confirm histological type. None of the patients had a history of other cancers, nor did they receive chemotherapy or radiotherapy prior to this study. Patients with any comorbidity, such as diabetes mellitus, hypertension, or an endocrine disorder, were excluded. We also recruited 495 unrelated healthy individuals at random during the same period at the medical center of Tangdu Hospital to serve as controls. All study participants lived in or near Xi’an. Control group individuals had no history of known medical illness or hereditary disorders and were not taking any medications.
SNP selection and genotyping
We examined four single nucleotide polymorphisms (SNPs) in TERT that had minor allele frequencies (MAF) greater than 5%. Samples were centrifuged and stored at -80° until analysis. We extracted genomic DNA from peripheral blood samples using the GoldMag-Mini Whole Blood Genomic DNA Purification Kit (GoldMag Ltd. Xi'an, China) according to the manufacturer's protocol and measured DNA concentrations using a NanoDrop 2000. Sequenom MassARRAY Assay Design 3.0 Software was used to design primers for amplification and extension reactions [40]. SNP genotyping was performed using a Sequenom MassARRAY RS1000 according to the manufacturer’s standard protocol [40]. Finally, Sequenom Typer 4.0 Software was used for data management and analysis [40, 41].
Statistical analysis
Departure from Hardy-Weinberg Equilibrium (HWE) was assessed for the frequency of each SNP using an exact test on the control subjects. Differences in genotype frequencies between the esophageal cancer and control groups were evaluated using the Chi-square test [42]. Microsoft Excel and the SPSS 17.0 statistical package (SPSS, Chicago, IL) were used for statistical analyses. All p-values presented in this study are two-sided; p ≤ 0.05 was considered statistically significant. Odds ratios (OR) and 95% confidence intervals (CI) were calculated using unconditional logistic regression analyses [43]. The web-based software SNP Stats was used to identify associations between SNPs and the risk of esophageal cancer in three genetic models (dominant, recessive, and additive) [44]. We used the Haploview software package (version 4.2) and the SHEsis software platform (http://www.nhgg.org/analysis/) to analyze linkage disequilibrium, haplotype construction, and genetic associations at polymorphism loci [45, 46].
ACKNOWLEDGMENTS
This work was supported by the Science Foundation of Northwest University (Nos. 15NW19 and 338020007). We are grateful to the patients for their participation.
CONFLICTS OF INTEREST
The authors declare that they have no competing interests.
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