Literature DB >> 34430437

Association of LINC00673 rs11655237 polymorphism with pediatric glioma susceptibility in a Chinese population.

Zhuorong Zhang1, Yihuan Huang1, Ping Wu1, Honghao Chen1, Zhijian Deng1, Gaoyan Deng1, Yongqin Zheng1, Guoyuan Li1, Li Yuan2, Le Li3.   

Abstract

BACKGROUND: Previous researches have suggested that LINC00673 rs11655237 C>T polymorphism might be correlated to cancer susceptibility. However, its correlation with pediatric glioma is unknown. Therefore, this study aimed to determine whether LINC00673 rs11655237 C>T polymorphism is correlated with pediatric glioma.
METHODS: In total, we included 399 subjects from South China. The Student's t-test was performed to evaluate age differences between glioma cases and controls. Differences in the categorical variables between the two groups were assessed using the χ2 test. A logistic regression was conducted to calculate the odds ratio (OR) and the 95% confidence interval (CI).
RESULTS: We conducted this case-control study to investigate the association between LINC00673 polymorphism and pediatric glioma susceptibility. Our results revealed that LINC00673 rs11655237 C>T polymorphism was not correlated to pediatric glioma susceptibility in a Chinese population (CC/CT compared with TT: adjusted OR =2.49, 95% CI: 0.87-7.15, P=0.091). Furthermore, a stratified analysis also indicated LINC00673 rs11655237 C>T polymorphism did not increase the risk of glioma in different subgroups.
CONCLUSIONS: Our study revealed that LINC00673 rs11655237 C>T polymorphism was not correlated to pediatric glioma susceptibility in a Chinese population. In the future, further exploration of this genetic factor in relation to glioma susceptibility will require a larger sample size to verify the current findings. 2021 Translational Pediatrics. All rights reserved.

Entities:  

Keywords:  LINC00673; glioma; polymorphism; susceptibility

Year:  2021        PMID: 34430437      PMCID: PMC8349947          DOI: 10.21037/tp-21-291

Source DB:  PubMed          Journal:  Transl Pediatr        ISSN: 2224-4336


Introduction

With the exception of leukemia, central nervous system (CNS) tumors are the most common tumors in children and adolescents. CNS tumors are difficult to treat, have a poor prognosis, and a high recurrence rate (1). With the rapid expansion in imaging technology, the diagnostic rate of new CNS tumors is increasing yearly. According to the latest statistics of United States, approximately 23,880 glioma cases are diagnosed, and 16,830 estimated new cases will die from glioma (2). Despite recent advances in treatment, the prognosis for glioma patients remains poor, and the average overall survival (OS) for glioblastoma patients is less than 16 months (3-5). Therefore, there is an urgent need to explore the molecular pathological mechanisms and potential molecular biomarkers for glioma. Long noncoding RNAs (lncRNAs) are a type of complex molecule with little or no protein-coding ability and are transcribed in most eukaryotic genomes. Initially, lncRNAs were considered to be merely transcriptional noise without any biological function (6). However, there is growing evidence that LncRNAs regulate gene expression at the epigenetic, transcriptional, and post-transcriptional processing levels by acting on nucleic acid molecules and proteins and play a key role in many of the biological processes associated with tumors (7). Of these, LINC00673 is among the most thoroughly studied (8) and is located on chromosome 17q24.3, at approximately 275-kb telomeric of SOX9. Analysis of this lncRNA sequence has shown that it possesses an absolutely conserved region, which is remarkably similar to the SRA1 protein. Therefore, this lncRNA is also known as “SRA-like non-coding RNA” (SLNCR) (9). Notably, Childs et al. first reported in a genome-wide association study (GWAS) of 9925 pancreatic cancer cases and 11,569 controls that the single nucleotide polymorphisms (SNPs) in LINC00673 were significantly associated with pancreatic cancer susceptibility in North America, Central Europe, and Australia (10). However, to date, the correlation between LINC00673 polymorphism and pediatric glioma susceptibility has not been investigated. Therefore, this study focused on whether LINC00673 polymorphism is associated with the risk of pediatric glioma by recruiting 399 subjects from South China. We present the following article in accordance with the STROBE reporting checklist (available at https://dx.doi.org/10.21037/tp-21-291).

Methods

Subjects

In this case-control study, 399 subjects (171 cases and 228 controls) were included from South China as we reported before (Table S1) (11). All glioma patients were pathologically confirmed. We collected clinical information including patients’ age, gender, and clinical stage. Before collecting blood samples, written informed consent was obtained from the parents or legal guardians of each child. This investigation protocol was approved by the Ethics Committee of Guangzhou Women (No.: 2016021650) and Children’s Medical Center. All procedures performed in this study involving human participants were in accordance with the Declaration of Helsinki (as revised in 2013).

Polymorphism analysis

LINC00673 rs11655237 C>T was selected based on previous publications (12,13). Blood was collected in an EDTA test tube from 399 participants. Details of the blood draw, DNA extraction, and storage status have been described in a previous study (14). LINC00673 genotyping was conducted with TaqMan real-time quantitative PCR (QPCR). For quality control, the obtained variants of LINC00673 rs11655237 C>T polymorphism were confirmed by genotype in 10% of randomly selected genomic DNA samples, and the results of the quality control were in accord with the first assays.

Statistical analysis

Statistical analyses were performed with SAS software (version 9.4; SAS institute in United States). The Hardy-Weinberg equilibrium (HWE) of all SNPs in the controls was tested by the goodness-of-fit χ2 test. The Student’s t-test was used to assess age differences between glioma cases and controls. Differences in categorical variables between the two groups were determined by the χ2 test. A multiple logistic regression model was used to calculate the odds ratio (OR) and the 95% confidence interval (CI). All P values were two-sided, and P<0.05 was considered statistically significant.

Results

Patient characteristics

In this case-control study, to explore the correlation between LINC00673 rs1165237 C>T polymorphism and glioma susceptibility, we recruited 339 age- and gender-matched subjects (171 glioma cases and 228 non-tumor controls) from South China. The clinicopathological characteristics of all 339 subjects are listed in Table S1. The average ages of the glioma patients and controls were 63.40±47.72 months (range, 4.00–168.00 months) and 52.41±32.65 months (range, 4.00–168.00 months), respectively. Overall, there were less females (174, 43.6%) than males (225, 56.4%). No significant differences in age and gender were identified between the case and control groups (P=0.623 and P=0.190, respectively). In the case group, patients with WHO grade I–II were in the majority (131, 76.61%), with only 40 patients classified with high grade gliomas (23.39%) (Table S1).

Association of LNIC00673 rs11655237 C>T variants with pediatric glioma susceptibility

All 399 subjects underwent genotype testing for LINC006773 rs11655237 C>T polymorphism. The genotype frequencies and percentage of LINC00673 rs11655237 C>T polymorphism are summarized in . All genotypes were checked for quality control and were consistent with HWK in control subjects (P=0.289). Next, we investigated the association of LINC006773 rs11655237 C>T polymorphism and glioma susceptibility. LINC00673 rs11655237 C>T polymorphism showed no correlation with glioma susceptibility (CC vs. TT: adjusted OR =2.49, 95% CI: 0.87–7.15, P=0.091). A possible reason for this finding is a lack of statistical power due to our small sample size.
Table 1

Association between LINC00673 rs11655237 C>T polymorphism and glioma risk

GenotypeCases (N=171)Controls (N=228)PaCrude OR (95% CI)PAdjusted OR (95% CI)bP b
rs11655237 (HWE=0.289)
   CC105 (61.40)146 (64.04)1.001.00
   CT56 (32.75)76 (33.33)1.03 (0.67–1.57)0.9110.98 (0.64–1.52)0.941
   TT10 (5.85)6 (2.63)2.32 (0.82–6.58)0.1142.49 (0.87–7.15)0.091
Additive0.3091.20 (0.85–1.70)0.3091.19 (0.84–1.69)0.340
   Dominant66 (38.60)82 (35.96)0.5901.12 (0.74–1.69)0.5901.09 (0.72–1.65)0.683
   Recessive161 (94.15)222 (97.37)0.1052.30 (0.82–6.45)0.1142.50 (0.88–7.12)0.086

a, χ2 test for genotype distributions between glioma patients and cancer-free controls. b, adjusted for age and gender. OR, odds ratio; CI, confidence interval; HWE, Hardy-Weinberg equilibrium.

a, χ2 test for genotype distributions between glioma patients and cancer-free controls. b, adjusted for age and gender. OR, odds ratio; CI, confidence interval; HWE, Hardy-Weinberg equilibrium.

Association of LINC00673 rs11655237 C>T variants with glioma susceptibility in different subgroups

To identify whether LINC00673 rs11655237 C>T variants were correlated with the risk of glioma in different subgroups, we performed a stratified analysis of glioma patients based on their clinicopathological characteristics after adjustments for age and gender. shows the genotype frequencies of LINC00673 rs11655237 C>T polymorphism in the different subgroups. The association of LINC00673 rs11655237 C>T polymorphism and the risk of glioma did not reach statistical significance for any of the subgroups (). Therefore, in the present study, LINC00673 rs11655237 C>T polymorphism did not demonstrate a significant correlation with pediatric glioma susceptibility in a Chinese population.
Table 2

Stratification analysis between LINC00673 rs11655237 C>T polymorphism and glioma risk

Variablesrs1042522 (cases/controls)Crude ORPAdjusted ORaPa
CCCT/TT(95% CI)(95% CI)
Age, months
   <6053/7633/431.12 (0.63–1.99)0.6951.12 (0.63–1.98)0.710
   ≥6053/7033/391.12 (0.63–2.01)0.7101.10 (0.61–1.99)0.743
Gender
   Females47/5934/341.26 (0.68–2.31)0.4651.23 (0.66–2.29)0.511
   Males58/8732/481.00 (0.57–1.75)1.0000.99 (0.56–1.73)0.963
Subtype
   Astrocytic tumors75/14650/821.19 (0.76–1.86)0.4541.16 (0.73–1.83)0.536
   Ependymoma16/1469/821.00 (0.42–2.37)0.9971.04 (0.44–2.47)0.935
   Neuronal and mixed9/1465/820.99 (0.32–3.05)0.9851.00 (0.32–3.10)0.998
   Embryonal tumors5/1462/820.71 (0.14–3.75)0.6890.61 (0.10–3.83)0.595
Clinical stages
   I59/14644/821.33 (0.83–2.14)0.2421.33 (0.82–2.15)0.248
   II17/14611/821.15 (0.52–2.58)0.7301.15 (0.52–2.59)0.727
   III11/1464/820.65 (0.20–2.10)0.4690.66 (0.20–2.17)0.497
   IV18/1467/820.69 (0.28–1.73)0.4310.66 (0.25–1.75)0.403
   I+II76/14655/821.29 (0.83–2.00)0.2591.27 (0.81–1.97)0.296
   III+IV29/14611/820.68 (0.32–1.42)0.3020.66 (0.31–1.40)0.276

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

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

Discussion

A growing body of evidence shows that heredity plays a key role in cancer susceptibility. Over the past decade, scientists have published more than 1,300 GWAS, and identified nearly 6,500 gene loci associated with diseases (15). However, just 7% of these sites were located in protein-coding regions, while the remaining 93% were located mainly in non-coding regions. Presently, four different variants of SNPs have been identified: transformation, transposition, deletion, and insertion. Gene mutations in protein-coding regions often cause harmful or fatal outcomes, making it impossible for carriers to survive long enough for cancer to develop (16). However, mutations in regulated regions may cause small changes in the gene expression in cell types or in tissue-specific ways that may confer cancer susceptibility in the carrier (17,18). Currently, many SNPs have been correlated with cancer susceptibility, such as in gastric cancer, lung cancer, and other malignant tumors (19,20). We conducted this case-control study to investigate the association between LINC00673 polymorphism and pediatric glioma susceptibility. Our results suggested that LINC00673 rs11655237 C>T polymorphism was not correlated with glioma susceptibility in a pediatric Chinese population, which is inconsistent with results found in other solid tumors. This different outcome may be related to variations in sample populations, differing research protocols, and the small sample size in the present study. In other solid tumors, current research has focused on the association of the SNPs of LINC00673 (rs11655237 C>T polymorphism) and cancer risk. Zheng et al. reported that rs11655237 is located on exon 4 of LINC00673 and six SNPs are involved in the high-linkage disequilibrium with rs11655237 (21). LINC00673 rs11655237 C>T polymorphism may increase the risk of many solid cancers in an allele-specific manner (12,21,22). One possible reason is that rs11655237 could be recognized and complemented with the miR-1231 domain, which further regulates the expression level of LINC00673 (23). In fact, the formation of this miR-1231-recognition region is caused by the single-base substitution of the G allele to the A allele at rs11655237, and miR-1231 may bind to the recognition region and further reduce the expression level of LINC00673. Previous studies have reported that LINC00673 acts as a tumor suppressor gene in a variety of tumors, and downregulation of LINC00673 could increase the risk of tumor susceptibility in subjects (21,24). Zhu et al. (24) found that cervical cancer patients with the A allele of rs116552337 had a poorer prognosis than those with the G allele of rs11655237. These findings suggest that LINC00673 plays an important role in maintaining cell homeostasis, and its polymorphisms could increase the risk of cancer susceptibility. However, how SNPs affect LINC00673 binding to transcription factors remains unclear. This case-control study has several limitations. Firstly, the sample size was not large enough to obtain statistically significant results. Thus, a larger sample size is needed in future studies to verify the above results. Secondly, a much higher number of SNP loci should be considered in any further research. We cannot rule out the influence of other loci polymorphisms on pediatric glioma susceptibility. Thirdly, more studies are needed to consider the role of other potentially confounding variables, such as environmental factors. In conclusion, as far as we know, this is the first case-control study focusing on the possible association of LINC00673 rs11655237 C>T polymorphism and glioma risk. In contrast to other LINC00673 rs11655237 C>T polymorphism studies, we found that LINC00673 rs11655237 C>T polymorphism was not correlated with pediatric glioma susceptibility in a Chinese population. The article’s supplementary files as
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