scholarly journals HOTTIP polymorphism may affect gastric cancer susceptibility by altering HOTTIP expression

2020 ◽  
Vol 40 (8) ◽  
Author(s):  
Ben-gang Wang ◽  
Yi-zhi Li ◽  
Han-xi Ding ◽  
Zhi Lv ◽  
Qian Xu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Risk ◽  
Disease Risk ◽  
Cancer Susceptibility ◽  
Recessive Model ◽  
Eqtl Analysis ◽  
Nucleotide Polymorphisms ◽  
Gastric Cancer Risk ◽  
Specific Pcr ◽  
Non Coding Rna

Abstract Background: Non-coding RNA polymorphisms can affect disease risk and prognosis by influencing gene expression. Here, we first investigated the association between single nucleotide polymorphisms (SNPs) of long non-coding RNA (lncRNA) HOTTIP and gastric cancer risk/prognosis. Methods: A total of five HOTTIP SNPs among 627 gastric cancer cases and 935 controls were tested by Kompetitive Allele Specific PCR (KASP) assay. The functional SNPs underwent eQTL analysis and the expression of HOTTIP was assessed by quantitative RT-PCR. Results: The rs2067087 and rs3807598 SNPs of HOTTIP increased susceptibility to gastric cancer (rs2067087: dominant model, P=0.008, odds ratio (OR) = 1.35; rs3807598: recessive model, P=0.037, OR = 1.29). Both HOTTIP rs2067087 and rs3807598 could affect the expression of mature lncRNA (P=0.003 and P=0.032, respectively). Conclusion: The rs2067087 and rs3807598 SNPs of HOTTIP are associated with gastric cancer risk, possibly by affecting the expression of mature HOTTIP.

scholarly journals Effects of Two Common Polymorphisms rs2910164 in miR-146a and rs11614913 in miR-196a2 on Gastric Cancer Susceptibility

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Qing Ni ◽  
Anlai Ji ◽  
Junfeng Yin ◽  
Xiangjun Wang ◽  
Xinnong Liu
Keyword(s):  
Gastric Cancer ◽  
Cancer Risk ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Potential Effect ◽  
Recessive Model ◽  
Dominant Model ◽  
Common Snps ◽  
Nucleotide Polymorphisms ◽  
Gastric Cancer Risk

Background. Single nucleotide polymorphisms (SNPs) in genes encoding microRNAs may play important role in the development of gastric cancer. It has been reported that common SNPs rs2910164 in miR-146a and rs11614913 in miR-196a2 are associated with susceptibility to gastric cancer. The published results remain inconclusive or even controversial. A meta-analysis was conducted to quantitatively assess potential association between the two common SNPs and gastric cancer risk.Methods. A comprehensive literature search was performed in multiple internet-based electronic databases. Data from 12 eligible studies were extracted to estimate pooled odds ratios (ORs) and 95% confidence intervals (95% CI).Results. C allele of rs2910164 is associated with reduced gastric cancer risk in heterozygote model and dominant model whereas rs11614913 indicates no significant association. Subgroup analysis demonstrates that C allele of rs2910164 and rs11614913 may decrease susceptibility to diffuse type gastric cancer in dominant model and recessive model, respectively, while rs11614913 increased intestinal type gastric cancer in dominant model.Conclusion. SNPs rs2910164 and rs11614913 might have effect on gastric cancer risk in certain genetic models and specific types of cancer. Further well-designed studies should be considered to validate the potential effect.

Association of microRNA Polymorphisms with the Risk of Gastric Cancer in a Romanian Population

2017 ◽  
Vol 26 (3) ◽  
pp. 231-238 ◽  
Author(s):  
Ion Rogoveanu ◽  
Florin Burada ◽  
Mihai Gabriel Cucu ◽  
Cristin Constantin Vere ◽  
Mihai Ioana ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Risk ◽  
Genetic Model ◽  
Cancer Susceptibility ◽  
Statistical Significance ◽  
Recessive Model ◽  
Nucleotide Polymorphisms ◽  
Gastric Cancer Risk ◽  
Single Nucleotide ◽  
Gastric Cancer Patients

Background & Aims: MicroRNAs (miRNAs) play an important role in the occurrence and progression of human cancers, including gastric cancer. Our hospital-based case-control study aimed to investigate whether four commonly studied single nucleotide polymorphisms (SNPs) have effects on susceptibility to gastric cancer in a Romanian population.Method: We genotyped the miR-27a rs895819, miR-146a rs2910164, miR-196a2 rs11614913 and miR-499 rs3746444 SNPs by real-time PCR using predesignated TaqMan assays in 430 individuals (142 gastric cancer patients and 288 age and gender matched cancer-free controls). The associations between the investigated miRNA SNPs and gastric cancer risk were assessed by odds ratio (OR) with 95% confidence interval (CI) using logistic regression analysis.Results: A higher frequency of the miR-27a rs895819 CC genotype (OR 1.98, 95% CI: 1.05-3.73, p=0.036) was found in the patients with gastric cancer compared with the controls. Similar results were observed in a recessive model, the CC genotype was correlated with gastric cancer susceptibility (OR 1.95, 95% CI: 1.07-3.55, p=0.032). In the stratified analysis, the association between miR-27a rs895819 SNP and gastric cancer risk was limited to noncardia (OR 2.08, 95% CI: 1.10-3.94, p=0.027) and intestinal (OR 2.27, 95% CI: 1.05-4.92, p=0.042) subgroups. However, after Bonferroni correction, all associations described above lost statistical significance. No correlation was observed for the remaining SNPs and risk of gastric cancer in any genetic model studied.Conclusion: This study showed no association of the investigated miRNA SNPs with the risk of gastric cancer in a Romanian population.Key words:  –  –  – .Abbreviations: GC: gastric cancer; miRNA: microRNA; SNP: single nucleotide polymorphism.

scholarly journals lncRNA-PCAT1 rs2632159 polymorphism could be a biomarker for colorectal cancer susceptibility

2019 ◽  
Vol 39 (7) ◽  
Author(s):  
Ming-li Yang ◽  
Zhe Huang ◽  
Li-na Wu ◽  
Rong Wu ◽  
Han-xi Ding ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Rectal Cancer ◽  
Colon Cancer ◽  
Cancer Risk ◽  
Cancer Susceptibility ◽  
Bioinformatic Analysis ◽  
Recessive Model ◽  
Eqtl Analysis ◽  
Nucleotide Polymorphisms ◽  
Colon Cancer Risk

AbstractBackground: Single-nucleotide polymorphisms (SNPs) in lncRNAs could be biomarkers for susceptibility to colorectal cancer (CRC), but the association of PCAT1 polymorphisms and CRC susceptibility is yet to be studied. Methods: Five tagSNPs covering the PCAT1 gene were detected through Kompetitive Allele-Specific PCR among 436 CRC patients and 510 controls. An expression quantitative trait locus (eQTL) bioinformatic analysis was then performed. Results: In the present study, PCAT1 rs2632159 polymorphism increased CRC risk by 1.37-fold and 2.19-fold in the dominant and recessive models, respectively (P=0.040 and 0.041). When the CRC cases were divided into colon cancer and rectal cancer, we found that this polymorphism affected colon cancer risk under the dominant model (P=0.022, OR = 1.51) and affected rectal cancer susceptibility under the recessive model (P=0.009, OR = 3.03). A more pronounced effect was observed in the male subgroup in that PCAT1 rs2632159 SNP increased rectal cancer risk by 3.97-fold (P=0.017). When PCAT1 rs2632159 was present, epistatic effects were observed with rs1902432 and rs785005 (P=0.011 and 0.008, respectively). eQTL analysis showed that rs2632159 could influence binding with the transcription factors EBF, LUN-1, and TCF12. Conclusion:PCAT1 rs2632159 SNP could be a biomarker for CRC risk. And the rs1902432 SNP might only have potential to be a biomarker for colon cancer risk.

scholarly journals Association between lncRNA GAS5, MEG3, and PCAT-1 Polymorphisms and Cancer Risk: A Meta-Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Xiaoyan Dong ◽  
Wenyan Gao ◽  
Xiaoling LV ◽  
Yazhen Wang ◽  
Qing Wu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Risk ◽  
Publication Bias ◽  
Fixed Effects ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Biomedical Literature ◽  
Cochrane Library ◽  
Gastric Cancer Risk ◽  
Lncrna Gas5

Purpose. Long noncoding RNAs (lncRNAs) have been widely studied, and single nucleotide polymorphisms (SNPs) in lncRNAs are considered to be genetic factors that influence cancer susceptibility. The lncRNA GAS5, MEG3, and PCAT-1 polymorphisms are shown to be possibly associated with cancer risk. The aim of this meta-analysis was to systematically evaluate this association. Methods. Studies were selected from PubMed, Web of Science, Embase, Google Scholar, Cochrane Library, the Chinese National Knowledge Infrastructure (CNKI), and the Chinese Biomedical Literature Database (CBM) through inclusion and exclusion criteria. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using the random-effects model or fixed-effects model to assess the association between lncRNA polymorphisms and cancer susceptibility. Metaregression and publication bias analyses were also conducted. All analyses were performed using the Stata 12.0 software. Results. Sixteen articles (covering 13750 cases and 17194 controls) were included in this meta-analysis. A significant association between SNP rs145204276 and gastric cancer risk was observed (del vs. ins: OR=0.79, 95%CI=0.72‐0.86; del/del vs. ins/ins+del/ins: OR=0.74, 95%CI=0.59‐0.91; del/ins vs. ins/ins: OR=0.84, 95%CI=0.67‐1.05). For rs16901904, a decreased cancer risk was observed in three genetic models (C vs. T: OR=0.79, 95%CI=0.70‐0.90; CC vs. CT+TT: OR=0.49, 95%CI=0.37‐0.65; CC vs. TT: OR=0.49, 95%CI=0.37‐0.66). No statistical significance was found in the metaregression analysis. For all of the included SNPs, no publication bias was found in all genotype models. Conclusions. The rs145204276 SNP in lncRNA GAS5 is likely to be associated with gastric cancer risk, whereas the rs16901904 SNP in lncRNA PCAT-1 bears association with a decreased cancer risk.

scholarly journals Association of Long Non-Coding RNA Polymorphisms with Gastric Cancer and Atrophic Gastritis

Genes ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 1505
Author(s):  
Vytenis Petkevicius ◽  
Greta Streleckiene ◽  
Kotryna Balciute ◽  
Alexander Link ◽  
Marcis Leja ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Atrophic Gastritis ◽  
Recessive Model ◽  
Nucleotide Polymorphisms ◽  
Blood Leukocytes ◽  
Significance Threshold ◽  
Non Coding Rna ◽  
Premalignant Condition ◽  
Gastric Cancer Patients ◽  
Long Non Coding Rna

Long non-coding RNAs (lncRNA) play an important role in the carcinogenesis of various tumours, including gastric cancer. This study aimed to assess the associations of lncRNA ANRIL, H19, MALAT1, MEG3, HOTAIR single-nucleotide polymorphisms (SNPs) with gastric cancer and atrophic gastritis. SNPs were analyzed in 613 gastric cancer patients, 118 patients with atrophic gastritis and 476 controls from three tertiary centers in Germany, Lithuania and Latvia. Genomic DNA was extracted from peripheral blood leukocytes. SNPs were genotyped by the real-time polymerase chain reaction. Results showed that carriers of MALAT1 rs3200401 CT genotype had the significantly higher odds of atrophic gastritis than those with CC genotype (OR-1.81; 95% CI 1.17–2.80, p = 0.0066). Higher odds of AG were found in a recessive model (CC vs. TT + CT) for ANRIL rs1333045 (OR-1.88; 95% CI 1.19–2.95, p = 0.0066). Carriers of ANRIL (rs17694493) GG genotype had higher odds of gastric cancer (OR-4.93; 95% CI 1.28–19.00) and atrophic gastritis (OR-5.11; 95% CI 1.10–23.80) compared with the CC genotype, and carriers of HOTAIR rs17840857 TG genotype had higher odds of atrophic gastritis (OR-1.61 95% CI 1.04–2.50) compared with the TT genotype; however, the ORs did not reach the adjusted significance threshold (p < 0.007). In summary, our data provide novel evidence for a possible link between lncRNA SNPs and premalignant condition of gastric cancer, suggesting the involvement of lncRNAs in gastric cancer development.

scholarly journals Antioxidant-Rich Diet, GSTP1 rs1871042 Polymorphism, and Gastric Cancer Risk in a Hospital-Based Case-Control Study

2021 ◽  
Vol 10 ◽  
Author(s):  
Jimi Kim ◽  
Hyejin Kim ◽  
Jeonghee Lee ◽  
Il Ju Choi ◽  
Young-Il Kim ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Risk ◽  
Genetic Variants ◽  
Total Phenolics ◽  
Nucleotide Polymorphisms ◽  
Gastric Cancer Risk ◽  
Glutathione S Transferase ◽  
Dietary Antioxidant ◽  
H Pylori ◽  
Gastric Cancer Patients

BackgroundChronic gastritis along with Helicobacter pylori (H. pylori) infection has been implicated in inflammatory response-related genes linked to the causation of gastric cancer. Glutathione S-transferase Pi (GSTP1) plays a role in regulating oxidative stress and detoxification against carcinogenesis. In this study, we aimed to determine whether an antioxidant-rich diet is associated with gastric cancer risk and identify how this association could be altered by GSTP1 genetic variants.MethodsThis study included 1,245 participants (415 cases and 830 controls) matched for age and sex. The dietary antioxidant capacity was estimated based on the oxygen radical absorbance capacity (ORAC) incorporated with a semiquantitative food frequency questionnaire. Five single nucleotide polymorphisms (SNPs) of GSTP1 (rs1695, rs749174, rs1871042, rs4891, and rs947895) were selected among the exome array genotype data.ResultsHigh dietary ORAC was inversely associated with gastric cancer (hydrophilic ORAC OR T3vs. T1, 95% CI = 0.57, 0.39–0.82, P = 0.004; lipophilic ORAC = 0.66, 0.45–0.95, P = 0.021; total phenolics = 0.57, 0.39–0.83, P = 0.005). The polymorphism rs1871042 increased the risk of gastric cancer (OR, 95% CI = 1.55, 1.10–2.16, P = 0.01, CT+TT vs. CC). A remarkably reduced risk of gastric cancer was observed among those who had a high dietary ORAC according to rs1871042 polymorphism (hydrophilic ORAC OR T3vs. T1, 95% CI = 0.36, 0.17–0.78, P for trend = 0.013; lipophilic ORAC = 0.58, 0.37–0.93, P for trend = 0.021; total phenolics = 0.38, 0.17–0.83, P for trend = 0.019).ConclusionsOur findings indicate that dietary ORAC intake may be inversely associated with the risk of gastric cancer altered by genetic variants of GSTP1, providing new intervention strategies for gastric cancer patients.

scholarly journals ASSOCIATION OF INTERLEUKIN-10 -1082 A/G (RS1800896) POLYMORPHISM WITH SUSCEPTIBILITY TO GASTRIC CANCER: META-ANALYSIS OF 6,101 CASES AND 8,557 CONTROLS

2018 ◽  
Vol 55 (1) ◽  
pp. 33-40 ◽  
Author(s):  
Abolfazl NAMAZI ◽  
Mohammad FORAT-YAZDI ◽  
Mohammadali JAFARI ◽  
Soudabeh FARAHNAK ◽  
Rezvan NASIRI ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Risk ◽  
Web Of Science ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Interleukin 10 ◽  
Dominant Model ◽  
Gastric Cancer Risk ◽  
Case Control Studies ◽  
Allele Model

ABSTRACT BACKGROUND: The promoter -1082 A/G (rs1800896) polymorphism of Interleukin-10 (IL-10) gene have been widely reported and considered to have a significant role on gastric cancer risk, but the results are inconsistent. OBJECTIVE: To clarify the association, we conducted a meta-analysis to investigate the associations IL-10 -1082 A/G polymorphism with gastric cancer. METHODS: Eligible articles were identified by searching databases including PubMed, Web of Science, and Google Scholar up to August 03, 2017. Odds ratios (OR) with corresponding 95% confidence intervals (CIs) were used to assess the association. RESULTS: A total of 30 case-control studies with 6,101 cases and 8,557 controls were included in this meta-analysis. Overall, a significant association between IL-10 -1082 A/G polymorphism and gastric cancer risk was observed under the allele model (G vs A: OR=1.305, 95% CI=1.076-1.584; P=0.007), heterozygote model and (GA vs AA: OR=1.252, 95% CI=1.252-1.054; P=0.011) and dominant model (GG+GA vs AA: OR=1.264, 95% CI=1.053-1.516; P=0.012). In the subgroup analysis by ethnicity, increased gastric cancer risk were found in Asians under the allele model (G vs A: OR=1.520, 95% CI=1.172-1.973; P=0.002), homozygote model (GG+GA vs AA: OR=1.571, 95% CI=1.023-2.414; P= 0.039), heterozygote model (GA vs AA: OR=1.465, 95% CI=1.192-1.801; P≤0.001) and dominant model (GG+GA vs AA: OR=1.448, 95% CI=1.152-1.821; P=0.002), but not among Caucasian and Latinos populations. CONCLUSION: These results suggested that the IL-10 -1082 A/G (rs1800896) polymorphism might contribute to the gastric cancer susceptibility, especially among Asians.

scholarly journals IL-17 gene rs3748067 C>T polymorphism and gastric cancer risk: A meta-analysis

2018 ◽  
Vol 13 (1) ◽  
pp. 71-76
Author(s):  
Wang Ying ◽  
Yu Yingcong ◽  
You Liyi ◽  
Zheng Liang
Keyword(s):  
Gastric Cancer ◽  
Cancer Risk ◽  
Cohort Studies ◽  
Publication Bias ◽  
Genetic Model ◽  
Cancer Susceptibility ◽  
Case Control ◽  
Small Sample ◽  
Gastric Cancer Risk ◽  
Statistical Heterogeneity

AbstractObjectiveThe purpose of this study was to investigate the correlation between Interleukin 17 (IL-17) gene rs3748067 C>T polymorphism and gastric cancer risk through pooling the open published data.MethodCase-control or cohort studies relevant to IL-17 gene rs3748067 C>T polymorphism and gastric cancer susceptibility were systematic searched for in the databases of CNKI, Pubmed, Medline, Embase and Web of science. The association between IL-17 gene rs3748067 C>T polymorphism and gastric cancer risk were expressed with an odds ratio(OR) and 95% confidence interval (95% CI). Statistical heterogeneity across the studies was evaluated by I2 test. Publication bias was evaluated by Begg’s funnel plot and Egger’s line regression test.ResultsFinally, seven case-control studies were included in our present study. Because of the statistical heterogeneity among the included studies for the aspects of dominant (TT+CT vs CC), recessive (TT vs CT+CC) and homozygous genetic model (TT vs CC), the data was pooled by random effect model. The pooled ORs were OR=0.99 (95% CI: 0.65-1.52), OR =1.23 (95% CI: 0.73-2.06 ) and OR=1.14 (95% CI: 0.58-2.27) for dominant, recessive and homozygous genetic model respectively. The pooled data indicated no correlation between IL-17 gene rs3748067 C>T polymorphism and gastric cancer risk. Significant publication bias was found in the dominant genetic model (p<0.05), but not in recessive and homozygous genetic model (p>0.05).ConclusionBased on the present evidence, there was no correlation between IL-17 gene rs3748067 C>T polymorphism and gastric cancer susceptibility in all genetic model. However, for the small sample size, significant heterogeneity and publication bias, the conclusion should be further evaluated through well designed case-control or cohort studies.

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