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Erschienen in: BMC Medical Genetics 1/2019

Open Access 01.12.2019 | Research article

ATM rs189037 (G > A) polymorphism increased the risk of cancer: an updated meta-analysis

verfasst von: Zhi-liang Zhao, Lu Xia, Cong Zhao, Jun Yao

Erschienen in: BMC Medical Genetics | Ausgabe 1/2019

Abstract

Background

Rs189037 (G > A) is a functional single nucleotide polymorphism (SNP) in the Ataxia-telangiectasia mutated (ATM) gene that may be associated with the risk of cancer. We performed a meta-analysis to determine whether rs189037 polymorphism influences the occurrence of cancer and examined the relationship between this SNP and the etiology of cancer.

Methods

Case-control studies were retrieved from literature databases in accordance with established inclusion criteria. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to evaluate the strength of the association between rs189037 and cancer. Subgroup analysis and sensitivity analysis also were performed.

Results

After inclusion criteria were met, fifteen studies—comprising 8660 patients with cancer (cases) and 9259 controls—were included in this meta-analysis. Summary results indicated that an association was found between rs189037 and cancer risk. In the dominant model, the pooled OR using a random effects model was 1.207 (95% CI, 1.090–1.337; P < 0.001). The A allele of rs189037 increased the risk of lung cancer, breast cancer, and oral cancer. Results of subgroup analysis by ethnicity indicated that the SNP was associated with the risk of cancer among East Asian and Latino, but not Caucasian.

Conclusions

Results of this meta-analysis suggest that rs189037 is associated with the occurrence of lung cancer, breast cancer, and oral cancer as the risk factor. These data provide possible avenues for future case-control studies related to cancer.
Hinweise
Zhi-liang Zhao and Lu Xia contributed equally to this work.
Abkürzungen
ATM
Ataxia-telangiectasia mutated
CIs
Confidence interval
HWE
Hardy-Weinberg equilibrium
ORs
Odds ratios
SNP
Single nucleotide polymorphism

Background

The occurrence of cancer is increasing because of the population aging, smoking, physical inactivity, et al [1]. It is a cellular abnormality, uncontrolled growth caused by numerous damages or mutations in the genetic material due to hereditary or environmental factors, which is immune to many signals that control cell growth and death [2]. The genetic factors takes more proportion on the causation of cancer than the lifestyle or environmental factors [3]. Many candidate genes or variations have been identified to contribute to the susceptibility of the cancer.
Ataxia-telangiectasia mutated (ATM) gene is located on the chromosome 11q22–23 with the full length 150 kb [4]. It comprises 66 exons and encodes a 12 kb transcript. The encoded protein belongs to the PI3/PI4-kinase family. As a Ser/Thr protein kinase, ATM protein plays an important role in DNA damage-induced signaling and initiation of cell cycle check-point signaling by phosphorylating [5]. After activated by DNA double strand breaks, it can be involved in recognizing broken or damaged DNA stands and assisting DNA repair by recruiting enzymes to recover the damaged strands [6]. Three deleterious missense variants of ATM gene were associated with an increased risk of cancer [7]. Moreover, ATM mutation and ATM protein loss included characteristics of old age, distal location of tumor, large tumor size, and histologic intestinal type in the human gastric cancer tissue [5]. The missense variants in ATM gene were also associated with the prostate cancer predisposition [8]. The loss of ATM function can give rise to ataxia telangiectasia, a pleiotropic disease with the whose hallmarks, such as neurodegeneration, cancer-proneness, premature aging, radio-sensitivity, et al [9]. It can control genome stability, modulate oxidative stress response, autophagy, and cancer stem cell survival as tumor suppressor gene [10].
The variation of ATM gene can affect the normal function of the protein and increase the risk of cancer. Rs189037 (G > A) is located at the 5’UTR of ATM gene and is one of the critical polymorphism that may be related to the occurrence of different cancers and tumor diffusing capacity [1115]. However, no consistent conclusion has been determined, and there remains discord between the findings in the literature, which may be attributable to a number of factors varying between studies including the types of cancer, the sample sizes, the genetic backgrounds of study subjects, and the potential presence of confounding bias [16].
When there is considerable variation in the results of studies on medical topics that have been studied extensively, meta-analysis can be used as a method to identify a common effect [17]. Such an analysis was conducted by Kang et al. (2014) to assess whether the ATM rs189037 polymorphism was associated with the risk of papillary thyroid carcinoma [18]. But only one case-control study was focused on rs189037. Bhowmik et al. analyzed the association of rs189037 with the risk of lung cancer and head and neck cancer in 2015 [19]. A total of 9 case-control studies were considered for this quantitative analysis. The third 2017 meta-analysis including ten case-control studies (4731 cases and 5142 controls) also reported the association between rs189037 and lung cancer susceptibility [12]. It seems superfluous to perform the meta-analysis of rs189037 and its association with cancer risk, whereas that the two latest meta-analyses only focused on the lung cancer and there are additional studies reporting its role in the other cancer types, such as breast cancer, papillary thyroid carcinoma, leukemia [14, 15, 20]. Therefore, we have performed a new meta-analysis of the ATM rs189037 polymorphism and the risk of different cancer types that includes more recent research.

Methods

Identification of relevant studies

We performed a literature search of three online literature databases (PubMed, Web of Science and Embase) to screen and identify available studies to be included in the meta-analysis. The keywords that were used are as follows: ATM, ataxia-telangiectasia mutated, rs189037, and cancer. Additionally, other possible studies were screened from the reference lists of included studies and relevant reviews.
The inclusion criteria were as follows: [1] the study were designed as case-control; [2] the cases in the identified studies were cancer patients; and [3] the studies reported the frequencies of ATM alleles and/or genotypes. When authors published multiple articles using the same or overlapping datasets, we selected the most recent study for inclusion. Exclusion criteria included the omission of healthy controls or the duplication of earlier research. In the event that inclusion data – including allele frequency, genotype or another sample characteristic – were not present in a report, we contacted the authors by email for the relevant information.

Data extraction

Two investigators (Zhi-liang Zhao and Lu Xia) independently extracted the data from each eligible publication, including the last name of the first author, the year of publication, the geographic region, the genotyping method, the sample size, and the number of genotypes reported for both cases and controls. In addition, to determine the contributions of underlying characteristics on the findings of the included reports, we also extracted data regarding patient ethnicities, sources of controls, and types of cancer.

Quality assessment

The quality of the included studies was assessed by the Newcastle Ottawa Scale (NOS) (http://​www.​ohri.​ca/​programs/​clinical_​epidemiology/​default.​asp). The scores of five or more (maximum of nine) were considered “high quality”, while the studies with the scores under five were regarded as “low quality”.

Statistical analysis

The Hardy-Weinberg equilibrium of control genotypes was calculated using a χ2 test. The strength of the association of rs189037 and cancer was evaluated with ratios (ORs) and 95% confidence intervals (CIs). A random effects model to resolve inter-study heterogeneity was used to calculate pooled estimates of the ORs and 95% CIs among the included studies [21].
Three genetic models (allele contrast model, dominant model, and recessive model) were used to measure the overall pooled ORs. As described in the previous study, OR1 (GG vs. AA), OR2 (GG vs. GA), and OR3 (GA vs. AA) were compared, with the definition of A as the risk allele [17]. If OR1 = OR3 ≠ 1 and OR2 = 1, then a recessive model was selected. If OR1 = OR2 ≠ 1 and OR3 = 1, then a dominant model was selected. If OR2 = 1/OR3 ≠ 1 and OR1 = 1, then a complete overdominant model was selected. If OR1 > OR2 > 1 and OR1 > OR3 > 1 (or OR1 < OR2 < 1 and OR1 < OR3 < 1), then a codominant model was selected [22, 23].
We evaluated the degree of inter-study heterogeneity using a Q statistic [24, 25], where P > 0.05 was defined as an absence of heterogeneity [26]. We performed subgroup analysis for ethnicity (i.e., Caucasian, East Asian, etc.) and source of controls (i.e., hospital- or population-based).
We evaluated whether a single study potentially influenced the pooled effect size by means of sensitivity analysis. Specifically, we omitted each study from the meta-analysis in turn and subsequently evaluated whether any significant alterations were made to the pooled effect size.
Publication bias was investigated by using funnel plots generated for each study in which the standard error of log(OR) was plotted against the log(OR). Possible publication bias was determined when the plot was asymmetric, in which case an Egger test was used to determine degree of asymmetry, with P < 0.05 indicating publication bias [27].
All the statistical calculations were performed by Stata version 10.0 (Stata Corp., College Station, TX).

Results

We searched the database and identified 219 articles. According to the established inclusion criteria, a total of 15 publications were finally screened and included in our meta-analysis [1315, 20, 2838]. We collected 15 case-control studies, which contained 8660 patients with cancer (i.e., cases) and 9259 unaffected participants (i.e., controls). The individuals with the different genetic backgrounds were included (e.g., East Asian, Latino, and Caucasian). The main characteristics of the included studies were summarized in Table 1. Based on the results of the NOS scale, 12 studies were regarded as high quality and 3 studies were regarded as low quality. The genotype and allele frequencies of rs189037 SNP and HWE in controls were presented in Table 2. Of the 15 studies, no study deviated significantly from HWE.
Table 1
Baseline characteristics of qualified studies in this meta-analysis
Author
Year
Region
Ethnicity
Controls source
Type of cancer
Genotyping method
Case/control
Male(case/control)
NOS scores
Kim
2006
Korea
East Asian
hospital-based
lung cancer
SNaPShot assay
616/616
483/483
4
Wang
2010
Taiwan
East Asian
hospital-based
breast cancer
PCR-RFLP
1232/1232
0/0
5
Bau
2010
Taiwan
East Asian
hospital-based
oral cancer
PCR-RFLP
620/620
586/582
5
Lo
2010
Taiwan
East Asian
hospital-based
lung cancer
MassARRAY
730/730
384/384
5
Wang
2011
Taiwan
East Asian
hospital-based
leukemia
PCR-RFLP
266/266
148/148
5
Xu
2012
Brazil
Latino
hospital-based
differentiated thyroid cancer
TaqMan
592/885
146/379
6
Hsia
2013
Taiwan
East Asian
hospital-based
lung cancer
PCR-RFLP
358/716
254/488
5
Zhao
2013
China
East Asian
hospital-based
glioma
TaqMan
384/384
222/217
6
Damiola
2013
Belarus
Caucasian
population-based
papillary thyroid carcinoma
Illumina GoldenGate Genotyping Assay
83/324
35/127
7
Gu
2014
China
East Asian
hospital-based
papillary thyroid carcinoma
MALDI-TOF-MS
358/360
109/115
4
Liu
2014
China
East Asian
population-based
lung cancer
TaqMan
852/852
485/490
5
Shen
2014
China
East Asian
hospital-based
lung cancer
TaqMan
487/516
0/0
5
Song
2014
Korea
East Asian
hospital-based
papillary thyroid carcinoma
TaqMan
437/184
93/51
6
Yue
2018
China
East Asian
hospital-based
breast cancer
ligase detection reaction method
524/518
0/0
4
Wang
2018
China
East Asian
hospital-based
colorectal cancer
TaqMan
1121/1056
631/561
5
Table 2
Distribution of genotype and allele frequencies of the ATM rs189037 polymorphism
 
Genotype distribution
  
Allele frequency
 
Cases, n
Controls, n
 
Cases, %
Controls, %
Author
GG
GA
AA
GG
GA
AA
P HWE
G
A
G
A
Kim
190
316
105
195
306
113
0.7130
56.96
43.04
56.68
43.32
Wang
428
580
224
474
567
191
0.3210
58.28
41.72
61.49
38.51
Bau
181
277
162
239
285
96
0.4704
51.53
48.47
61.53
38.47
Lo
238
345
145
239
354
124
0.7173
56.39
43.61
58.02
41.98
Wang
89
128
49
106
119
41
0.4295
57.52
42.48
62.22
37.78
Xu
375a
215
606a
277
Hsia
118
176
64
255
339
122
0.6068
57.54
42.46
59.29
40.71
Zhao
140
186
58
125
203
56
0.0697
60.68
39.32
58.98
41.02
Damiola
13
32
23
35
106
60
0.3121
42.65
57.35
43.78
56.22
Gu
90
196
69
102
189
69
0.2638
52.96
47.04
54.58
45.42
Liu
217
435
200
264
434
154
0.2927
51.00
49.00
56.46
43.54
Shen
148
240
99
152
272
92
0.1186
55.03
44.97
55.81
44.19
Song
134
211
83
56
84
42
0.3352
55.96
44.04
53.85
46.15
Yue
166
262
96
196
258
64
0.1371
56.68
43.32
62.74
37.26
Wang
336
543
227
362
491
191
0.2797
54.93
45.07
58.19
41.81
Abbreviation: PHWE represents the P value of Hardy-Weinberg equilibrium test in the genotype distribution of controls
arepresents the number of GG + GA

Heterogeneity detection and pooled analysis

The association between the rs189037 polymorphism and cancer risk was evaluated using pooled ORs (with 95% CIs) under dominant, recessive, homozygous codominant, heterozygous codominant and allele contrast genetic models (Fig. 1, Table 3). Finally, we selected the dominant model to perform the pooled analysis [22, 39]. The pooled results showed that rs189037 polymorphism was associated with cancer risk. In the dominant model, the summary OR generated by a random effects model was 1.207 (95% CI, 1.090–1.337; P < 0.001). The A allele of rs189037 increased the risk of cancer. Results of subgroup analysis by ethnicity indicated that the SNP was associated with the risk of cancer among East Asian and Latino, but not Caucasian (Table 4). Moreover, the association between rs189037 and cancer was observed in subgroup analysis according to the source of controls (hospital based and population-based). Additionally, we also performed the subgroup analysis by the type of cancer. The results showed that rs189037 increased the occurrence of lung cancer, breast cancer, and oral cancer, but not leukemia, thyroid carcinoma, glioma, and colorectal cancer (Table 4).
Table 3
Summarized ORs with 95% CIs for the association of ATM rs189037 polymorphism with cancer
Polymorphism
Genetic model
n
Statistical model
OR
95% CI
p z
I2(%)
p h
p e
Rs189037
 
Allele contrast
14
Random
1.123
1.049–1.202
0.001
53.5
0.009
0.337
 
Homozygous codominant
14
Random
1.267
1.105–1.454
0.001
52.0
0.012
0.308
 
Heterozygous codominant
14
Random
1.159
1.049–1.281
0.004
23.5
0.200
0.624
 
Dominant
15
Random
1.207
1.090–1.337
< 0.001
40.9
0.050
0.415
 
Recessive
14
Random
1.151
1.061–1.247
0.001
27.5
0.160
0.272
n, the number of studies; pz, P value for association test; ph, p value for heterogeneity test; pe, p value for publication bias test
Table 4
Stratified analysis of the association of ATM polymorphisms with cancer under dominant model
Subgroup analysis
Rs189037
n
OR
95% CI
p z
I2(%)
p h
Overall
15
1.207
1.090–1.337
< 0.001
40.9
0.050
Ethnicity
 East Asian
13
1.200
1.067–1.350
0.002
49.2
0.023
 Latino
1
1.254
1.007–1.563
0.043
 Caucasian
1
1.201
0.668–2.159
0.540
Source of controls
 Hospital-based
13
1.189
1.061–1.332
0.003
46.3
0.034
 Population-based
2
1.362
1.095–1.695
0.006
0.0
0.650
Type of cancer
 lung cancer
5
1.158
1.005–1.334
0.043
19.9
0.288
 breast cancer
2
1.341
1.035–1.737
0.026
43.3
0.184
 oral cancer
1
1.931
1.456–2.559
< 0.001
 leukemia
1
1.239
0.786–1.953
0.355
 thyroid carcinoma
4
1.094
0.897–1.335
0.374
20.3
0.288
 glioma
1
1.042
0.700–1.551
0.839
 colorectal cancer
1
1.153
0.931–1.429
0.192
n, the number of studies; pz, p value for association test; ph, p value for heterogeneity test

Sensitivity analysis

We next sought to determine the contribution of individual studies to the pooled results via sensitivity analysis. To do this, we removed each study from the analysis, in turn, and then determined pooled ORs. We detected no significant changes between each of these analyses and the overall results of the meta-analysis, indicating that none of the included studies significantly altered the overall results. Therefore, our meta-analysis results are stable and reliable.

Publication bias

Publication bias was assessed by generating and analyzing a funnel plot (Fig. 2), and no significant effect of publication bias was detected (Pe = 0.415) (Table 3).

Discussion

We explored the underlying relationship between rs189037 SNP of ATM gene and the occurrence of cancer using a meta-analysis that included 15 case-control studies (8660 cases and 9259 controls). The pooled results indicated that there was an association, and subgroup analysis by ethnicity and source of controls further investigated the distribution deviation between cases and controls.
Previously, three meta-analyses have reported the putative association between rs189037 and the occurrence of cancer [12, 18, 19]. Generally, our results were consistent with the previous studies. It seems that our meta-analysis is redundant, but there are some highlights compared with the previously published studies. Firstly, our analysis included the newly published studies since the previous meta-analyses were performed. A total of 15 studies were included, which could comprehensively represent rs189037 better compared with the previous meta-analyses. Additionally, the subgroup analyses were carried out by ethnicity, source of controls, and types of cancer to explore the potential origins of heterogeneity and to measure the study stability. Thus, to some degree, our meta-analysis could give a more accurate, comprehensive finding that there is an association between rs189037 SNP and lung cancer, breast cancer, and oral cancer, but not leukemia, thyroid carcinoma, glioma, and colorectal cancer.
However, the relatively small sample sizes of Latino and Caucasian populations limited our ability to isolate stable effects for these subgroups. Only one study reported the association of rs189037 with differentiated thyroid cancer in Latino including 592 cases and 885 controls [31]. For Caucasian, there is also just one study about the risk of papillary thyroid carcinoma including 83 cases and 324 controls [34]. Thus, we cannot obtain the comprehensive results of the association between rs189037 and cancer risk in Latino and Caucasian population because of the limited sample size.
Rs189037 is in the promoter region of ATM gene and markedly changes the folding architectures. The secondary structure of rs189037 G/A alleles was significant changed using RNAfold prediction [38]. It has been confirmed to be associated with carcinogenesis [38, 40]. The G allele of rs189037 SNP is an independent risk factor for radiation-induced pneumonitis in Chinese thoracic cancer patients [41]. Moreover, rs189037 and other polymorphism in DNA repair genes can serve as candidate prognostic markers of the survival of non-small-cell lung cancer patinets [42]. The combined analysis showed that this SNP was associated with the poor prognosis. In addition, Piaceri et al. reported that the rs189037 was associated with the longevity in Italian centenarians [43]. Taken into account that the A allele of rs89037 increased the risk of cancer in our meta-analysis, we need to do more efforts to explore its influence on the expression of ATM protein.
However, there are some potential limitations in our current analysis. Firstly, the significant heterogeneity were detected in summary and subgroup analyses. Though the subgroup analysis was used to explore the possible origins of heterogeneity, no single factor could fully explain the heterogeneity. When the subgroup analysis was performed by the cancer types, the results showed that rs189037 increased the occurrence of lung cancer, breast cancer, and oral cancer, but not leukemia, thyroid carcinoma, glioma, and colorectal cancer. Clearly, the role of rs189037 polymorphism was influenced by cancer types. Thus, more cancer types need to be included and assessed in the future in order to comprehensively explore the effect of rs189037 in the cancer risk. Secondly, we did not analysis the gene-gene interactions and epigenetic, which were the influence factors of the cancer. Smoking, physical activity, and emotional state are also involved in the occurrence of cancer. Thirdly, just one SNP in ATM gene was analyzed and its information was limited. The occurrence of the cancer is usually thought to involve the multiple genes and their interactions.

Conclusions

Our study showed that there was an association between the rs189037 in ATM gene and lung cancer, breast cancer, and oral cancer. The studies containing different ethnicity populations need to validate the findings of this meta-analysis and to ascertain the epigenetic mechanisms and environmental influences that contribute to the risk of cancer.

Acknowledgements

This manuscript has been edited by native English-speaking experts of BioMed Proofreading.

Funding

Not applicable.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Not applicable.
Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Literatur
1.
Zurück zum Zitat Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA Cancer J Clin. 2015;65(2):87–108.CrossRef Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA Cancer J Clin. 2015;65(2):87–108.CrossRef
2.
Zurück zum Zitat Perez-Herrero E, Fernandez-Medarde A. Advanced targeted therapies in cancer: Drug nanocarriers, the future of chemotherapy. Eur J Pharm Biopharm. 2015;93:52–79.CrossRef Perez-Herrero E, Fernandez-Medarde A. Advanced targeted therapies in cancer: Drug nanocarriers, the future of chemotherapy. Eur J Pharm Biopharm. 2015;93:52–79.CrossRef
3.
Zurück zum Zitat Zhao L, Gu A, Ji G, Zou P, Zhao P, Lu A. The association between ATM IVS 22-77 T>C and cancer risk: a meta-analysis. PLoS One. 2012;7(1):e29479.CrossRef Zhao L, Gu A, Ji G, Zou P, Zhao P, Lu A. The association between ATM IVS 22-77 T>C and cancer risk: a meta-analysis. PLoS One. 2012;7(1):e29479.CrossRef
4.
Zurück zum Zitat Stankovic T, Skowronska A. The role of ATM mutations and 11q deletions in disease progression in chronic lymphocytic leukemia. Leukemia Lymphoma. 2014;55(6):1227–39.CrossRef Stankovic T, Skowronska A. The role of ATM mutations and 11q deletions in disease progression in chronic lymphocytic leukemia. Leukemia Lymphoma. 2014;55(6):1227–39.CrossRef
5.
Zurück zum Zitat Kim HS, Choi SI, Min HL, Kim MA, Kim WH. Mutation at intronic repeats of the ataxia-telangiectasia mutated (ATM) gene and ATM protein loss in primary gastric cancer with microsatellite instability. PLoS One. 2013;8(12):e82769.CrossRef Kim HS, Choi SI, Min HL, Kim MA, Kim WH. Mutation at intronic repeats of the ataxia-telangiectasia mutated (ATM) gene and ATM protein loss in primary gastric cancer with microsatellite instability. PLoS One. 2013;8(12):e82769.CrossRef
6.
Zurück zum Zitat Bartkova J, Bakkenist CJ, Rajpert-De Meyts E, et al. ATM activation in normal human tissues and testicular cancer. Cell Cycle. 2005;4(6):838–45.CrossRef Bartkova J, Bakkenist CJ, Rajpert-De Meyts E, et al. ATM activation in normal human tissues and testicular cancer. Cell Cycle. 2005;4(6):838–45.CrossRef
7.
Zurück zum Zitat Mitui M, Nahas SA, Du LT, et al. Functional and computational assessment of missense variants in the ataxia-telangiectasia mutated (ATM) gene: mutations with increased cancer risk. Hum Mutat. 2009;30(1):12–21.CrossRef Mitui M, Nahas SA, Du LT, et al. Functional and computational assessment of missense variants in the ataxia-telangiectasia mutated (ATM) gene: mutations with increased cancer risk. Hum Mutat. 2009;30(1):12–21.CrossRef
8.
Zurück zum Zitat Paulo P, Maia S, Pinto C, et al. Targeted next generation sequencing identifies functionally deleterious germline mutations in novel genes in early-onset/familial prostate cancer. PLoS Genet. 2018;14(4):e1007355.CrossRef Paulo P, Maia S, Pinto C, et al. Targeted next generation sequencing identifies functionally deleterious germline mutations in novel genes in early-onset/familial prostate cancer. PLoS Genet. 2018;14(4):e1007355.CrossRef
9.
Zurück zum Zitat Shiloh Y, Ziv Y. The ATM protein kinase: regulating the cellular response to genotoxic stress, and more. Nature reviews. Mol Cell Biol. 2013;14(4):197–210. Shiloh Y, Ziv Y. The ATM protein kinase: regulating the cellular response to genotoxic stress, and more. Nature reviews. Mol Cell Biol. 2013;14(4):197–210.
10.
Zurück zum Zitat Stagni V, Cirotti C, Barila D. Ataxia-telangiectasia mutated kinase in the control of oxidative stress, mitochondria, and autophagy in Cancer: a maestro with a large orchestra. Front Oncol. 2018;8:73.CrossRef Stagni V, Cirotti C, Barila D. Ataxia-telangiectasia mutated kinase in the control of oxidative stress, mitochondria, and autophagy in Cancer: a maestro with a large orchestra. Front Oncol. 2018;8:73.CrossRef
11.
Zurück zum Zitat Lopez Guerra JL, Song YP, Nguyen QN, Gomez DR, Liao Z, Xu T. Functional promoter rs189037 variant of ATM is associated with decrease in lung diffusing capacity after irradiation for non-small-cell lung cancer. Chronic Dis Transl Med. 2018;4(1):59–66.CrossRef Lopez Guerra JL, Song YP, Nguyen QN, Gomez DR, Liao Z, Xu T. Functional promoter rs189037 variant of ATM is associated with decrease in lung diffusing capacity after irradiation for non-small-cell lung cancer. Chronic Dis Transl Med. 2018;4(1):59–66.CrossRef
12.
Zurück zum Zitat Yan Z, Tong X, Ma Y, et al. Association between ATM gene polymorphisms, lung cancer susceptibility and radiation-induced pneumonitis: a meta-analysis. BMC Pulmonary Med. 2017;17(1):205.CrossRef Yan Z, Tong X, Ma Y, et al. Association between ATM gene polymorphisms, lung cancer susceptibility and radiation-induced pneumonitis: a meta-analysis. BMC Pulmonary Med. 2017;17(1):205.CrossRef
13.
Zurück zum Zitat Liu J, Wang X, Ren Y, Li X, Zhang X, Zhou B. Effect of single nucleotide polymorphism Rs189037 in ATM gene on risk of lung cancer in Chinese: a case-control study. PLoS One. 2014;9(12):e115845.CrossRef Liu J, Wang X, Ren Y, Li X, Zhang X, Zhou B. Effect of single nucleotide polymorphism Rs189037 in ATM gene on risk of lung cancer in Chinese: a case-control study. PLoS One. 2014;9(12):e115845.CrossRef
14.
Zurück zum Zitat Song CM, Kwon TK, Park BL, Ji YB, Tae K. Single nucleotide polymorphisms of ataxia telangiectasia mutated and the risk of papillary thyroid carcinoma. Environ Mol Mutagen. 2015;56(1):70–6.CrossRef Song CM, Kwon TK, Park BL, Ji YB, Tae K. Single nucleotide polymorphisms of ataxia telangiectasia mutated and the risk of papillary thyroid carcinoma. Environ Mol Mutagen. 2015;56(1):70–6.CrossRef
15.
Zurück zum Zitat Wang CH, Wu KH, Yang YL, et al. Association between Ataxia Telangiectasia Mutated gene polymorphisms and childhood leukemia in Taiwan. Chin J Physiol. 2011;54(6):413–8.PubMed Wang CH, Wu KH, Yang YL, et al. Association between Ataxia Telangiectasia Mutated gene polymorphisms and childhood leukemia in Taiwan. Chin J Physiol. 2011;54(6):413–8.PubMed
16.
Zurück zum Zitat Yao J, Pan YQ, Ding M, Pang H, Wang BJ. Association between DRD2 (rs1799732 and rs1801028) and ANKK1 (rs1800497) polymorphisms and schizophrenia: a meta-analysis. Am J Med Genet B Neuropsychiatr Genet. 2015;168B(1):1–13.CrossRef Yao J, Pan YQ, Ding M, Pang H, Wang BJ. Association between DRD2 (rs1799732 and rs1801028) and ANKK1 (rs1800497) polymorphisms and schizophrenia: a meta-analysis. Am J Med Genet B Neuropsychiatr Genet. 2015;168B(1):1–13.CrossRef
17.
Zurück zum Zitat Yang B, Fan S, Zhi X, et al. Associations of MTHFR gene polymorphisms with hypertension and hypertension in pregnancy: a meta-analysis from 114 studies with 15411 cases and 21970 controls. PLoS One. 2014;9(2):e87497.CrossRef Yang B, Fan S, Zhi X, et al. Associations of MTHFR gene polymorphisms with hypertension and hypertension in pregnancy: a meta-analysis from 114 studies with 15411 cases and 21970 controls. PLoS One. 2014;9(2):e87497.CrossRef
18.
Zurück zum Zitat Kang J, Deng XZ, Fan YB, Wu B. Relationships of FOXE1 and ATM genetic polymorphisms with papillary thyroid carcinoma risk: a meta-analysis. Tumour Biol. 2014;35(7):7085–96.CrossRef Kang J, Deng XZ, Fan YB, Wu B. Relationships of FOXE1 and ATM genetic polymorphisms with papillary thyroid carcinoma risk: a meta-analysis. Tumour Biol. 2014;35(7):7085–96.CrossRef
19.
Zurück zum Zitat Bhowmik A, Nath S, Das S, Ghosh SK, Choudhury Y. ATM rs189037 (G > a) polymorphism and risk of lung cancer and head and neck cancer: a meta-analysis. Meta gene. 2015;6:42–8.CrossRef Bhowmik A, Nath S, Das S, Ghosh SK, Choudhury Y. ATM rs189037 (G > a) polymorphism and risk of lung cancer and head and neck cancer: a meta-analysis. Meta gene. 2015;6:42–8.CrossRef
20.
Zurück zum Zitat Wang HC, Chang WS, Tsai RY, et al. Association between ataxia telangiectasia mutated gene polymorphisms and breast cancer in Taiwanese females. Anticancer Res. 2010;30(12):5217–21.PubMed Wang HC, Chang WS, Tsai RY, et al. Association between ataxia telangiectasia mutated gene polymorphisms and breast cancer in Taiwanese females. Anticancer Res. 2010;30(12):5217–21.PubMed
21.
Zurück zum Zitat Munafo MR, Flint J. Meta-analysis of genetic association studies. Trends Genet. 2004;20(9):439–44.CrossRef Munafo MR, Flint J. Meta-analysis of genetic association studies. Trends Genet. 2004;20(9):439–44.CrossRef
22.
Zurück zum Zitat Thakkinstian A, McElduff P, D'Este C, Duffy D, Attia J. A method for meta-analysis of molecular association studies. Stat Med. 2005;24(9):1291–306.CrossRef Thakkinstian A, McElduff P, D'Este C, Duffy D, Attia J. A method for meta-analysis of molecular association studies. Stat Med. 2005;24(9):1291–306.CrossRef
23.
Zurück zum Zitat Xu FL, Wu X, Zhang JJ, Wang BJ, Yao J. A meta-analysis of data associating DRD4 gene polymorphisms with schizophrenia. Neuropsychiatr Dis Treat. 2018;14:153–64.CrossRef Xu FL, Wu X, Zhang JJ, Wang BJ, Yao J. A meta-analysis of data associating DRD4 gene polymorphisms with schizophrenia. Neuropsychiatr Dis Treat. 2018;14:153–64.CrossRef
24.
Zurück zum Zitat Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. Bmj. 2003;327(7414):557–60.CrossRef Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. Bmj. 2003;327(7414):557–60.CrossRef
25.
Zurück zum Zitat Zintzaras E, Ioannidis JP. Heterogeneity testing in meta-analysis of genome searches. Genet Epidemiol. 2005;28(2):123–37.CrossRef Zintzaras E, Ioannidis JP. Heterogeneity testing in meta-analysis of genome searches. Genet Epidemiol. 2005;28(2):123–37.CrossRef
26.
Zurück zum Zitat Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21(11):1539–58.CrossRef Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21(11):1539–58.CrossRef
27.
Zurück zum Zitat Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. Bmj. 1997;315(7109):629–34.CrossRef Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. Bmj. 1997;315(7109):629–34.CrossRef
28.
Zurück zum Zitat Kim JH, Kim H, Lee KY, et al. Genetic polymorphisms of ataxia telangiectasia mutated affect lung cancer risk. Human Mol Genet. 2006;15(7):1181–6.CrossRef Kim JH, Kim H, Lee KY, et al. Genetic polymorphisms of ataxia telangiectasia mutated affect lung cancer risk. Human Mol Genet. 2006;15(7):1181–6.CrossRef
29.
Zurück zum Zitat Bau DT, Chang CH, Tsai MH, et al. Association between DNA repair gene ATM polymorphisms and oral cancer susceptibility. Laryngoscope. 2010;120(12):2417–22.CrossRef Bau DT, Chang CH, Tsai MH, et al. Association between DNA repair gene ATM polymorphisms and oral cancer susceptibility. Laryngoscope. 2010;120(12):2417–22.CrossRef
30.
Zurück zum Zitat Lo YL, Hsiao CF, Jou YS, et al. ATM polymorphisms and risk of lung cancer among never smokers. Lung Cancer. 2010;69(2):148–54.CrossRef Lo YL, Hsiao CF, Jou YS, et al. ATM polymorphisms and risk of lung cancer among never smokers. Lung Cancer. 2010;69(2):148–54.CrossRef
31.
Zurück zum Zitat Xu L, Morari EC, Wei Q, Sturgis EM, Ward LS. Functional variations in the ATM gene and susceptibility to differentiated thyroid carcinoma. J Clin Endocrinol Metab. 2012;97(6):1913–21.CrossRef Xu L, Morari EC, Wei Q, Sturgis EM, Ward LS. Functional variations in the ATM gene and susceptibility to differentiated thyroid carcinoma. J Clin Endocrinol Metab. 2012;97(6):1913–21.CrossRef
32.
Zurück zum Zitat Hsia TC, Tsai CW, Liang SJ, et al. Effects of ataxia telangiectasia mutated (ATM) genotypes and smoking habits on lung cancer risk in Taiwan. Anticancer Res. 2013;33(9):4067–71.PubMed Hsia TC, Tsai CW, Liang SJ, et al. Effects of ataxia telangiectasia mutated (ATM) genotypes and smoking habits on lung cancer risk in Taiwan. Anticancer Res. 2013;33(9):4067–71.PubMed
33.
Zurück zum Zitat Zhao P, Zou P, Zhao L, et al. Genetic polymorphisms of DNA double-strand break repair pathway genes and glioma susceptibility. BMC Cancer. 2013;13:234.CrossRef Zhao P, Zou P, Zhao L, et al. Genetic polymorphisms of DNA double-strand break repair pathway genes and glioma susceptibility. BMC Cancer. 2013;13:234.CrossRef
34.
Zurück zum Zitat Damiola F, Byrnes G, Moissonnier M, et al. Contribution of ATM and FOXE1 (TTF2) to risk of papillary thyroid carcinoma in Belarusian children exposed to radiation. Int J Cancer. 2014;134(7):1659–68.CrossRef Damiola F, Byrnes G, Moissonnier M, et al. Contribution of ATM and FOXE1 (TTF2) to risk of papillary thyroid carcinoma in Belarusian children exposed to radiation. Int J Cancer. 2014;134(7):1659–68.CrossRef
35.
Zurück zum Zitat Gu Y, Yu Y, Ai L, et al. Association of the ATM gene polymorphisms with papillary thyroid cancer. Endocrine. 2014;45(3):454–61.CrossRef Gu Y, Yu Y, Ai L, et al. Association of the ATM gene polymorphisms with papillary thyroid cancer. Endocrine. 2014;45(3):454–61.CrossRef
36.
Zurück zum Zitat Shen L, Yin Z, Wu W, Ren Y, Li X, Zhou B. Single nucleotide polymorphism in ATM gene, cooking oil fumes and lung adenocarcinoma susceptibility in Chinese female non-smokers: a case-control study. PLoS One. 2014;9(5):e96911.CrossRef Shen L, Yin Z, Wu W, Ren Y, Li X, Zhou B. Single nucleotide polymorphism in ATM gene, cooking oil fumes and lung adenocarcinoma susceptibility in Chinese female non-smokers: a case-control study. PLoS One. 2014;9(5):e96911.CrossRef
37.
Zurück zum Zitat Yue LL, Wang FC, Zhang ML, et al. Association of ATM and BMI-1 genetic variation with breast cancer risk in Han Chinese. J Cell Mol Med. 2018;22(7):3671–8.CrossRef Yue LL, Wang FC, Zhang ML, et al. Association of ATM and BMI-1 genetic variation with breast cancer risk in Han Chinese. J Cell Mol Med. 2018;22(7):3671–8.CrossRef
38.
Zurück zum Zitat Wang S, Zhang Y, Chen M, et al. Association of genetic variants in ATR-CHEK1 and ATM-CHEK2 pathway genes with risk of colorectal cancer in a Chinese population. Oncotarget. 2018;9(42):26616–24.PubMedPubMedCentral Wang S, Zhang Y, Chen M, et al. Association of genetic variants in ATR-CHEK1 and ATM-CHEK2 pathway genes with risk of colorectal cancer in a Chinese population. Oncotarget. 2018;9(42):26616–24.PubMedPubMedCentral
39.
Zurück zum Zitat Arj-Ong S, Thakkinstian A, McEvoy M, Attia J. A systematic review and meta-analysis of tumor necrosis factor alpha-308 polymorphism and Kawasaki disease. Pediatr Int. 2010;52(4):527–32.CrossRef Arj-Ong S, Thakkinstian A, McEvoy M, Attia J. A systematic review and meta-analysis of tumor necrosis factor alpha-308 polymorphism and Kawasaki disease. Pediatr Int. 2010;52(4):527–32.CrossRef
40.
Zurück zum Zitat Paek AR, Lee CH, You HJ. A role of zinc-finger protein 143 for cancer cell migration and invasion through ZEB1 and E-cadherin in colon cancer cells. Mol Carcinog. 2014;53(Suppl 1):E161–8.CrossRef Paek AR, Lee CH, You HJ. A role of zinc-finger protein 143 for cancer cell migration and invasion through ZEB1 and E-cadherin in colon cancer cells. Mol Carcinog. 2014;53(Suppl 1):E161–8.CrossRef
41.
Zurück zum Zitat Xiao Y, Yuan X, Qiu H, Li Q. Single-nucleotide polymorphisms of TGFbeta1 and ATM associated with radiation-induced pneumonitis: a prospective cohort study of thoracic cancer patients in China. Int J Clin Exp Med. 2015;8(9):16403–13.PubMedPubMedCentral Xiao Y, Yuan X, Qiu H, Li Q. Single-nucleotide polymorphisms of TGFbeta1 and ATM associated with radiation-induced pneumonitis: a prospective cohort study of thoracic cancer patients in China. Int J Clin Exp Med. 2015;8(9):16403–13.PubMedPubMedCentral
42.
Zurück zum Zitat Dong J, Hu Z, Shu Y, et al. Potentially functional polymorphisms in DNA repair genes and non-small-cell lung cancer survival: a pathway-based analysis. Mol Carcinog. 2012;51(7):546–52.CrossRef Dong J, Hu Z, Shu Y, et al. Potentially functional polymorphisms in DNA repair genes and non-small-cell lung cancer survival: a pathway-based analysis. Mol Carcinog. 2012;51(7):546–52.CrossRef
43.
Zurück zum Zitat Piaceri I, Bagnoli S, Tedde A, Sorbi S, Nacmias B. Ataxia-telangiectasia mutated (ATM) genetic variant in Italian centenarians. Neurol Sci. 2013;34(4):573–5.CrossRef Piaceri I, Bagnoli S, Tedde A, Sorbi S, Nacmias B. Ataxia-telangiectasia mutated (ATM) genetic variant in Italian centenarians. Neurol Sci. 2013;34(4):573–5.CrossRef
Metadaten
Titel
ATM rs189037 (G > A) polymorphism increased the risk of cancer: an updated meta-analysis
verfasst von
Zhi-liang Zhao
Lu Xia
Cong Zhao
Jun Yao
Publikationsdatum
01.12.2019
Verlag
BioMed Central
Erschienen in
BMC Medical Genetics / Ausgabe 1/2019
Elektronische ISSN: 1471-2350
DOI
https://doi.org/10.1186/s12881-019-0760-8

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