J Cancer 2019; 10(25):6358-6363. doi:10.7150/jca.37564

Research Paper

H19 gene polymorphisms and neuroblastoma susceptibility in Chinese children: a six-center case-control study

Yong Li1, Zhen-Jian Zhuo2, Haiyan Zhou3, Jiabin Liu2, Jiao Zhang4, Jiwen Cheng5, Haixia Zhou6, Suhong Li7, Ming Li1, Jun He1, Zhenghui Xiao8, Jing He2 Corresponding address, Yaling Xiao1 Corresponding address

1. Department of Pediatric Surgery, Hunan Children's Hospital, Changsha 410004, Hunan, China.
2. Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, Guangdong, China.
3. Department of Pathology, Xiang-ya School of Medicine, Central South University, Changsha 410013, Hunan, China.
4. Department of Pediatric Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan, China.
5. Department of Pediatric Surgery, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, Shaanxi, China.
6. Department of Hematology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, Zhejiang, China.
7. Department of Pathology, Children Hospital and Women Health Center of Shanxi, Taiyuan 030013, Shannxi, China.
8. Emergency center of Hunan Children's Hospital, Changsha 410004, Hunan, China.

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Citation:
Li Y, Zhuo ZJ, Zhou H, Liu J, Zhang J, Cheng J, Zhou H, Li S, Li M, He J, Xiao Z, He J, Xiao Y. H19 gene polymorphisms and neuroblastoma susceptibility in Chinese children: a six-center case-control study. J Cancer 2019; 10(25):6358-6363. doi:10.7150/jca.37564. Available from http://www.jcancer.org/v10p6358.htm

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Abstract

Neuroblastoma is the most common seen solid tumor in children less than one year old. Given that polymorphisms in the lncRNA H19 gene are observed in several types of human malignancies, there likely to be similar events that contribute to the pathogenesis of neuroblastoma. We hypothesize that single nucleotide polymorphisms (SNPs) in the H19 gene might predispose to neuroblastoma. Here, we genotyped three SNPs (rs2839698 G>A, rs3024270 C>G, rs217727 G>A) from H19 gene in a Chinese population (700 subjects with neuroblastoma and 1516 control subjects) enrolled from six hospitals and examined the effect of individual and combined SNPs on the risk of neuroblastoma. Odds ratios (ORs) and 95% confidence intervals (CIs) calculated from logistic regression were adopted to assess such association, adjusted for age and gender. Among them, 700 controls and 1514 cases were successfully genotyped. None of these three SNPs were found to be relevant to the risk of neuroblastoma, either in overall analysis or stratification analysis. Findings from this study excluded the participation of lncRNA H19 gene SNPs in the risk of neuroblastoma. More independent case-control studies are encouraged to better elucidate this relationship.

Keywords: lncRNA, H19, polymorphism, neuroblastoma, susceptibility

Introduction

Neuroblastoma is a childhood tumor that mainly derives from neural crest progenitor cells [1, 2]. Despite its occupation rate of 8-10% of all pediatric cancer diagnoses, neuroblastoma disproportionately results in 12-15% of all childhood cancer related mortality [3-5]. It is characterized by widely clinical heterogeneity, spanning from spontaneous regression to therapy-refractory progression [6, 7]. Another reflection of such heterogeneity was the contrasting survival rate of different subgroup patients [8]. In patients with the low- and intermediate-risk neuroblastoma, the long-term survival rate is greater than 90%. However, in patients with the high-risk neuroblastoma, less than 40% could finally survived [9-12].

In the past decades, considerable progress has been made in understanding the genetic underpinnings of neuroblastoma. Exposed environmental factors of children and pregnant women were reported to predispose to neuroblastoma, but not finally defined [13, 14]. Mutations in ALK and PHOX2B were considered as two major causes of familial neuroblastoma. Other genetic variants in genes including LMO1 [15], BARD1 [16], TP53 [17], DUSP12 [18], LIN28B [19], HACE1 [19], NEFL [20] and CDKN1B [21] have more recently been associated with neuroblastoma predisposition. Moreover, fine mapping study also identified neuroblastoma-associated functional risk SNPs in BARD1 [22]. Taken together, however, all the current identified variants still could not fully elucidate the etiology of neuroblastoma. We still have a long way to fully reveal the genetic landscape of neuroblastoma. Identification of other somatic mutations and polymorphisms will further clarify the mechanisms of neuroblastoma.

Long non-coding RNAs (lncRNAs), longer than 200 nucleotides, are a class of non-protein-coding transcripts. LncRNAs regulate multiple physiological and pathological processes by different mechanisms, including transcriptional regulation, genome rearrangement, imprinting, epigenetic regulation, and chromatin modification. Accumulating evidence point to the critical role of lncRNAs in human disorders especially in cancers. H19 gene was the first lncRNA discovered in the human genome [23, 24]. H19 gene is exclusively expressed from maternal chromosome, treated as a paternally imprinted oncofetal gene [25]. H19 gene is incompetent to encode for a protein, but instead encodes for a polyadenylated, spliced, and capped ncRNA spans 2.7kb long [23]. H19 gene has been reported as a cancer-associated lncRNA that functions as both oncogene and suppressor gene. Mounting proof have been achieved in the modulation ability of single nucleotide polymorphisms (SNPs) within lncRNAs in causing tumor susceptibility. Thus far, most studies have addressed the identification of H19 gene SNPs in bladder cancer [26], hepatocellular cancer [27], and lung cancer [28], whereas few studies focused on the role of H19 gene SNPs in neuroblastoma risk. Here we conducted a six-center hospital-based case-control study aiming to investigate the association between SNPs within the H19 gene and neuroblastoma risk.

Materials and Methods

Study subjects

The enrollment criteria of subjects were described in previous studies [29-32]. Prior to analysis, the study protocols were approved by the Institutional Review Board of each hospital. The current case-control study was carried out in 6 hospitals in 6 provinces of China. A total of 700 cases were pathology-confirmed with neuroblastoma, and classified clinical stages according to the INSS [33], and 1516 controls with no prior history of neuroblastoma were randomly enrolled in the same area as cases. To be specific, 275 cases and 531 controls were from Guangzhou Women and Children's Medical Center [34], 162 cases and 270 controls were from Hunan Children's Hospital [35], 118 cases and 281 controls were from The First Affiliated Hospital of Zhengzhou University [36, 37], 76 cases and 186 controls were from The Second Affiliated Hospital of Xi'an Jiaotong University [38], 36 cases and 72 controls were from The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University [39, 40], and 33 cases and 176 controls were from Children's Hospital of Shanxi. All guardians of participants provided written informed consent.

Polymorphism selection and genotyping

We screened NCBI dbSNP database (http://www.ncbi.nlm.nih.gov/projects/SNP) and SNPinfo (http://snpinfo.niehs.nih.gov/snpfunc.htm) to select potential functional neuroblastoma-risk SNPs. Three SNPs (rs2839698 G>A, rs3024270 C>G, rs217727 G>A) in H19 gene that met the previously described criteria were selected for inclusion [41]. The rs2839698 G>A and rs3024270 C>G are located in the transcription factor binding sites. As shown in Supplemental Figure s1, there was no significant linkage disequilibrium (R2<0.8) among these three SNPs (R2=0.408 between rs217727 and rs3024270; R2=0.213 between rs217727 and rs2839698; R2=0.508 between rs3024270 and rs2839698). Genomic DNA was isolated from venous blood using a TIANamp Blood DNA Kit (TianGen Biotech Co. Ltd., Beijing, China). Genotype analysis of all three H19 gene SNPs was undertaken using TaqMan SNP Genotyping Assay from Applied Biosystem using 7900 Real-Time PCR system [42-45]. Negative controls (with water) and duplicate test samples (10% of all the samples) were included in each 384-well plate. 100% concordant of genotypes in replicates were achieved.

Statistical analysis

Tests for Hardy-Weinberg equilibrium (HWE) were conducted for each SNP separately among control subjects with the use of χ2 test. Differences in demographic variables between case subjects and control subjects were analyzed using the two-sided χ2 test. Neuroblastoma risk was determined as odds ratios (ORs) and 95% confidence intervals (CIs), based on unconditional logistic regression adjusted for age and gender. A P-value of < 0.05 was used for statistical significance. The SAS release 9.1 (SAS Institute, Cary, NC) was used for statistical analyses.

Results

Association between H19 polymorphisms and neuroblastoma susceptibility

We enrolled 700 cases with neuroblastoma and 1516 controls without neuroblastoma from 6 hospitals in 6 provinces of China (Supplemental Table 1), and no significant differences were observed between cases and controls for age (P=0.525) and gender (P=0.796). We successfully genotyped 700 controls and 1514 cases. The genotype distributions of H19 gene polymorphisms (rs2839698 G>A, rs3024270 C>G, rs217727 G>A) and their associations with neuroblastoma susceptibility were summarized in Table 1. In the controls, the genotype frequencies of all the three SNPs conformed to Hardy-Weinberg equilibrium (HWE=0.406 for rs2839698 G>A, HWE=0.162 for rs3024270 C>G, HWE=0.744 for rs217727 G>A). Our results indicated that none of the SNPs included were significantly associated with neuroblastoma susceptibility. We also failed to find significantly statistical correlation between the combined effect of risk genotypes and the susceptibility of neuroblastoma.

Stratification analysis

We further carried out stratified analysis to analyze the association between H19 gene polymorphisms and neuroblastoma susceptibility under different subtypes including age, gender, tumor sites, and INSS stages (Table 2). However, we still could not obtain significant association between all the three polymorphisms, neither in single nor combined analysis, and neuroblastoma susceptibility under all the strata.

Haplotype analysis

As shown in Table 3, we failed to find any haplotype that was significantly associated with neuroblastoma risk.

Discussion

In this study, we investigated whether lncRNA H19 gene polymorphisms were involved in the risk of neuroblastoma in Chinese population using individuals from six centers. Our results showed that none of the H19 gene polymorphisms contributed to the risk of neuroblastoma. Conclusions obtained here represent an important extension of our understanding of how H19 gene polymorphism is not relevant to neuroblastoma risk.

 Table 1 

Associations between H19 polymorphisms and neuroblastoma susceptibility

GenotypeCases
(N=700)
Controls
(N=1514)
P aCrude OR
(95% CI)
PAdjusted OR
(95% CI) b
P b
rs2839698 G>A (HWE=0.406)
GG331 (47.29)704 (46.50)1.001.00
AG300 (42.86)667 (44.06)0.96 (0.79-1.16)0.6460.96 (0.79-1.16)0.658
AA69 (9.86)143 (9.45)1.03 (0.75-1.41)0.8711.04 (0.76-1.43)0.805
Additive0.8580.99 (0.86-1.14)0.9001.00 (0.87-1.14)0.956
Dominant369 (52.71)810 (53.50)0.7300.97 (0.81-1.16)0.7300.97 (0.81-1.16)0.762
Recessive631 (90.14)1371 (90.55)0.7591.05 (0.78-1.42)0.7581.06 (0.79-1.44)0.696
rs3024270 C>G (HWE=0.162)
CC184 (26.29)415 (27.41)1.001.00
CG362 (51.71)781 (51.59)1.05 (0.84-1.29)0.6841.05 (0.85-1.30)0.679
GG154 (22.00)318 (21.00)1.09 (0.84-1.42)0.5051.09 (0.84-1.42)0.505
Additive0.7991.05 (0.92-1.19)0.5031.05 (0.92-1.19)0.503
Dominant516 (73.71)1099 (72.59)0.5801.06 (0.87-1.30)0.5801.06 (0.87-1.30)0.576
Recessive546 (78.00)1196 (79.00)0.5951.06 (0.85-1.32)0.5951.06 (0.85-1.32)0.598
rs217727 G>A (HWE=0.744)
GG331 (47.29)679 (44.85)1.001.00
AG289 (41.29)674 (44.52)0.88 (0.73-1.06)0.1870.88 (0.72-1.06)0.172
AA80 (11.43)161 (10.63)1.02 (0.76-1.37)0.9001.02 (0.75-1.37)0.922
Additive0.3590.96 (0.84-1.10)0.5910.96 (0.84-1.10)0.561
Dominant369 (52.71)835 (55.15)0.2840.91 (0.76-1.09)0.2840.90 (0.75-1.08)0.263
Recessive620 (88.57)1353 (89.37)0.5771.08 (0.82-1.44)0.5771.08 (0.81-1.44)0.586
Combined effect of risk genotypes c
0112 (16.00)258 (17.04)1.001.00
1511 (73.00)1109 (73.25)1.06 (0.83-1.36)0.6341.06 (0.83-1.36)0.643
277 (11.00)147 (9.71)1.21 (0.85-1.72)0.2981.22 (0.86-1.74)0.272
1-2588 (84.00)1256 (82.96)0.5421.08 (0.85-1.37)0.5421.08 (0.85-1.38)0.542

OR, odds ratio; CI, confidence interval; HWE, Hardy-Weinberg equilibrium. a χ2 test for genotype distributions between neuroblastoma patients and cancer-free controls. b Adjusted for age and gender. c Risk genotypes were carriers with rs2839698 AA, rs3024270 CG/GG and rs217727 AA genotypes.

 Table 2 

Stratification analysis for association between H19 genotypes and neuroblastoma susceptibility

Variablesrs2839698
(case/control)
AOR (95% CI)aPars3024270
(case/control)
AOR (95% CI)aPars217727
(case/control)
AOR (95% CI)a PaRisk genotypes
(case/control)
AOR (95% CI)a Pa
GG/AGAACCCG/GGGG/AGAA01-2
Age, month
≤18243/55431/611.14 (0.72-1.80)0.58969/182205/4331.25 (0.90-1.72)0.184248/53826/770.73 (0.46-1.17)0.18944/107230/5081.09 (0.74-1.60)0.662
>18388/81738/820.97 (0.65-1.45)0.880115/233311/6660.95 (0.73-1.23)0.679372/81554/841.40 (0.98-2.02)0.06868/151358/7481.06 (0.78-1.45)0.703
Gender
Female273/60034/551.37 (0.87-2.15)0.17776/188231/4671.22 (0.90-1.67)0.206274/58133/740.93 (0.60-1.44)0.74449/117258/5381.13 (0.78-1.63)0.520
Male358/77135/880.87 (0.57-1.31)0.490108/227285/6320.95 (0.73-1.24)0.700346/77247/871.21 (0.83-1.76)0.32563/141330/7181.03 (0.75-1.43)0.848
Sites of origin
Adrenal gland196/137119/1430.94 (0.57-1.55)0.80858/415157/10991.02 (0.74-1.40)0.927185/135330/1611.38 (0.90-2.10)0.13834/258181/12561.09 (0.74-1.61)0.673
Retroperitoneal219/137121/1430.92 (0.57-1.49)0.74661/415179/10991.10 (0.81-1.51)0.544217/135323/1610.90 (0.57-1.42)0.64138/258202/12561.09 (0.75-1.58)0.663
Mediastinum157/137120/1431.24 (0.75-2.04)0.39845/415132/10991.12 (0.78-1.60)0.530157/135320/1611.06 (0.65-1.74)0.81426/258151/12561.21 (0.78-1.87)0.394
Others52/13718/1431.44 (0.67-3.10)0.34715/41545/10991.14 (0.63-2.07)0.67155/13535/1610.76 (0.30-1.92)0.55911/25849/12560.92 (0.47-1.79)0.796
Clinical stages
I+II+4s311/137134/1431.05 (0.71-1.55)0.82397/415248/10990.97 (0.75-1.26)0.806304/135341/1611.13 (0.79-1.63)0.50458/258287/12561.02 (0.75-1.39)0.902
III+IV297/137133/1431.11 (0.74-1.66)0.61680/415250/10991.18 (0.90-1.56)0.233294/135336/1611.03 (0.70-1.52)0.88350/258280/12561.16 (0.83-1.61)0.396

AOR, adjusted odds ratio; CI, confidence interval. a Adjusted for age and gender, omitting the corresponding stratify factor.

 Table 3 

The frequency of inferred haplotypes of H19 based on observed genotypes and their association with neuroblastoma susceptibility

Haplotypes aCases
(n=1400)
Controls
(n=3028)
Crude OR
(95% CI)
PAdjusted OR b
(95% CI)
P b
GCG496 (35.43)1098 (36.26)1.001.00
GCA226 (16.14)501 (16.55)1.00 (0.83-1.21)0.9881.00 (0.82-1.20)0.966
GGG156 (11.14)303 (10.01)1.14 (0.91-1.42)0.2451.14 (0.91-1.42)0.259
GGA84 (6.00)173 (5.71)1.08 (0.81-1.42)0.6151.07 (0.80-1.41)0.659
ACG2 (0.14)5 (0.17)0.89 (0.17-4.58)0.8850.95 (0.18-4.90)0.947
ACA6 (0.43)7 (0.23)1.90 (0.63-5.68)0.2521.96 (0.65-5.87)0.230
AGG297 (21.21)626 (20.67)1.05 (0.88-1.25)0.5811.05 (0.89-1.25)0.558
AGA133 (9.50)315 (10.40)0.94 (0.74-1.18)0.5630.94 (0.74-1.18)0.567

OR, odds ratio; CI, confidence interval. a The haplotypes order were rs2839698, rs3024270, and rs217727. b Obtained in logistic regression models with adjustment for age and gender.

The H19 gene is located in human chromosome 11p15.5 locus. The expression level of H19 gene peaks at the early stages of embryogenesis, then falls postnatally [46, 47], and is reactivated during tumorigenesis in some cancer types [48, 49]. The critical role of H19 gene in carcinogenesis was intensively reported. Wada et al. [50] detected a maintenance of normal imprinting of the H19 gene in neuroblastoma. Liang et al. [51] found that the lncRNA H19 gene promotes epithelial to mesenchymal transition of colorectal cancer by functioning as part of miRNA sponges. Barsyte-Lovejoy et al. [52] showed that down regulation of H19 gene attenuated the clonogenicity of lung cancer and breast cancer. They also provided a strong association between H19 gene expression and primary lung and breast carcinomas. By now, some SNPs located on H19 gene were identified to be associated with cancer susceptibility. In a study conducted by Guo et al. [53], it was found that rs217727 AA genotype of H19 gene contributes to the susceptibility of oral squamous cell carcinoma in Chinese population. Li et al. [28] conducted a case-control study in lung cancer using 555 cases and 618 healthy controls. Their results gave some indication that AA genotype of rs217727 SNP in lncRNA H19 gene plays a positive role in susceptibility to lung cancer.

We have previously conducted an initial investigation of how H19 gene SNPs (rs2839698, rs3024270, and rs217727) regulate the risk of neuroblastoma in Chinese population [54]. At that time, we only genotyped 393 neuroblastoma patients and 812 control subjects from two hospitals. Our previous results failed to reveal significant associations of the three selected polymorphisms and neuroblastoma susceptibility, in separated and combined analyses. However, we detected an increased neuroblastoma risk in rs3024270 GG genotype in female Chinese children. SNPs analyzed in our previous and the current studies are all located in the H19 gene. It has been elucidated that these SNPs altered the folding architectures of H19 gene, which may result in changes of H19 gene expression or functions [55]. Given that lncRNA H19 gene is critical in carcinogenesis, better understanding is needed of how lncRNA H19 gene SNPs might impact neuroblastoma risk. Herein, we adopted a larger sample size enrolled from six hospitals in China to get a more generalized conclusion. Again, we failed to detect the impact of H19 gene SNPs on the risk of neuroblastoma. Moreover, the contributing role of rs3024270 GG in neuroblastoma risk in female Chinese children found in our previous study disappeared in the current larger study. Such conclusion inconsistency may be attributed to the relative compromised statistic power caused by the small sample size in the stratification analysis.

Strength of the current study also accompany some limitations. First, statistic power might be compromised as sample size is not large enough, although this is a multi-center study. Second, as a hospital-based case-control study, inclusion of the non-representative subjects in this study may result in inherent selection bias. Third, conclusions obtained here lack generalizability as subjects are all genetic Chinese descendants. Therefore, cautions should be taken if extrapolated the current conclusion to other populations. Fourth, the selected SNPs were based on prior knowledge of potentially functional SNPs. Other important tagging SNPs within H19 gene may be omitted. Last, environment factors and gene-environment interactions could not be assessed in the current study, with the absence of environmental data.

In conclusion, here we failed to provide the possibility of lncRNA H19 gene SNPs in predicting neuroblastoma risk. Our study serves as a basis for future replication studies in independent populations or for functional studies of lncRNA H19 gene SNPs in neuroblastoma risk.

Abbreviations

lncRNA, long non-coding RNA; SNP, single nucleotide polymorphism; HWE, Hardy-Weinberg equilibrium; OR, odds ratio; CI, confidence interval.

Supplementary Material

Attachment

Supplementary figures and tables.

Acknowledgements

This work was supported by grants from Pearl River S&T Nova Program of Guangzhou (No: 201710010086), Hunan Provincial Natural Science Foundation Project (No: 2018JJ2210), Hunan provincial key laboratory of Pediatric emergency medicine (No: 2018TP1028) and Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease (No: 2019B030301004).

Competing Interests

The authors have declared that no competing interest exists.

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Author contact

Corresponding address Corresponding authors: Yaling Xiao, Department of Pediatric Surgery, Hunan Children's Hospital, 86 Ziyuan Road, Changsha 410004, Hunan, China, Email: etyypwkcom; or Jing He, Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangdong Provincial Key Laboratory of Research in Structural Birth Defect Disease, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Road, Guangzhou 510623, Guangdong, China, Email: hejing198374com.


Received 2019-6-13
Accepted 2019-9-21
Published 2019-10-18