Association Between lncRNA HULC rs7763881 Polymorphism and Gastric Cancer Risk

Hotspots and trends of risk factors in gastric cancer: A visualization and bibliometric analysis

BACKGROUND

The lack of specific symptoms of gastric cancer (GC) causes great challenges in its early diagnosis. Thus it is essential to identify the risk factors for early diagnosis and treatment of GC and to improve the survival rates.

AIM

To assist physicians in identifying changes in the output of publications and research hotspots related to risk factors for GC, constructing a list of key risk factors, and providing a reference for early identification of patients at high risk for GC.

METHODS

Research articles on risk factors for GC were searched in the Web of Science core collection, and relevant information was extracted after screening. The literature was analyzed using Microsoft Excel 2019, CiteSpace V, and VOSviewer 1.6.18.

RESULTS

A total of 2514 papers from 72 countries and 2507 research institutions were retrieved. China (n = 1061), National Cancer Center (n = 138), and Shoichiro Tsugane (n = 36) were the most productive country, institution, or author, respectively. The research hotspots in the study of risk factors for GC are summarized in four areas, namely: Helicobacter pylori (H. pylori) infection, single nucleotide polymorphism, bio-diagnostic markers, and GC risk prediction models.

CONCLUSION

In this study, we found that H. pylori infection is the most significant risk factor for GC; single-nucleotide polymorphism (SNP) is the most dominant genetic factor for GC; bio-diagnostic markers are the most promising diagnostic modality for GC. GC risk prediction models are the latest current research hotspot. We conclude that the most important risk factors for the development of GC are H. pylori infection, SNP, smoking, diet, and alcohol.

Associations of long non-coding RNAs HOTAIR, LINC00951, POLR2E and HULC polymorphisms with the risk of esophageal and esophagogastric junction cancer in a western population: a case-control study

BACKGROUND

The incidence of single-nucleotide-polymorphisms with malignant potential in esophageal cancer tissues has only been sparsely investigated in the west. Hence, we explored the contribution of four long non-coding RNAs' polymorphisms HOTAIR rs920778, LINC00951 rs11752942, POLR2E rs3787016 and HULC rs7763881 in esophageal cancer susceptibility.

METHODS AND RESULTS

Formalin-fixed paraffin-embedded tissue specimens from 95 consecutive patients operated for esophageal/esophagogastric junction carcinoma during 25/03/2014-25/09/2018 were processed. Demographic data, histopathological parameters, surgical and oncological outcomes were collected. DNA findings of the abovementioned population were compared with 121 healthy community controls. Both populations were of European/Greek ancestry. Sixty-seven patients underwent Ivor Lewis/McKeown esophagectomy for either squamous cell esophageal carcinoma (N = 6) or esophageal/esophagogastric junction Siewert I or II adenocarcinoma (N = 61). Twenty-eight patients were subjected to extended total gastrectomy for esophagogastric junction Siewert III adenocarcinoma. Neither LINC00951 rs11752942 nor HULC rs7763881 polymorphisms were detected more frequently in esophageal cancer patients compared with healthy community subjects. A significantly higher presence of HOTAIR rs920778 TT genotype in esophagogastric junction Siewert I/II adenocarcinoma was identified. POLR2E rs3787016 C allele and CC genotypes were overrepresented in the control group, and when found in esophageal cancer carriers were associated with earlier disease stages, as well as with minor lymph node involvement and lesser metastatic potential.

CONCLUSIONS

HOTAIR rs920778 may serve as a potential therapeutic suppression target, while POLR2E rs3787016 may represent a valuable biomarker to evaluate esophageal cancer predisposition and predict treatment response and prognosis. Clinical implications of these findings need to be verified with further prospective studies with larger sample-size.

Association of lncRNA SOX2OT rs9839776 polymorphism with gastric cancer risk in Korean: Case-control study

Aberrant regulation of the long non-coding RNA SRY-box transcription factor 2 overlapping transcript (SOX2OT) has been reported in various diseases including gastric cancer (GC). However, an association between the well-studied rs9839776 single nucleotide polymorphism in SOX2OT and GC susceptibility has not been reported. This study aimed to evaluate the association between the rs9839776 single nucleotide polymorphism in SOX2OT and GC risk. Genotyping of rs9839776 was conducted using TaqMan genotyping assay for 460 patients with GC and 386 controls. We found that the dominant model (CT+TT) and rs9839776 T allele were significantly associated with decreased GC risk (P = .046, adjusted odds ratio [AOR] = 0.72, 95% confidence interval [CI] = 0.52-1.00 and P = .044, AOR = 0.74, 95% CI = 0.56-0.99, respectively). In addition, stratified analysis revealed that the dominant model (CT+TT) and rs9839776 T allele were significantly associated with decreased risk of lymph node metastasis-negative (P = .039, AOR = 0.67, 95% CI = 0.46-0.98 and P = .049, AOR = 0.71, 95% CI = 0.51-1.00, respectively) and tumor stage I (A+B)/II (A+B+C) (P = .028, AOR = 0.66, 95% CI = 0.50-0.96 and P = .041, AOR = 0.71, 95% CI = 0.52-0.99, respectively) GC. Our findings suggest that the rs9839776 T allele may be a protective factor against GC susceptibility. Further research is needed to clarify whether rs9839776 affects SOX2OT expression.

lncRNA polymorphism affects the prognosis of gastric cancer

Background

Previous studies have found that lncRNA polymorphisms are associated with the prognosis of gastric cancer (GC), but the specific roles of many lncRNA polymorphism sites in gastric cancer are still unclear. Our study aims to deeply explore the relationship between genetic polymorphism of lncRNA and the prognosis of GC.

Methods

The genotypes of candidate SNP locus were detected by Sequenom Mass ARRAY SNP. We deeply analyzed the association of lncRNA polymorphisms with GC prognosis by univariate and multivariate Cox regression, stratified analysis, conjoint analysis, and log-rank test.

Results

We found that mutations at rs2579878 and rs10036719 loci reduced the risk of poor prognosis of GC. Stratified analysis showed that rs2795025, rs10036719, and rs12516079 polymorphisms were all associated with tumor prognosis. In addition, conjoint analyses showed that the interaction between these two polymorphic sites (rs2795025 and rs12516079) could increase the risk of poor prognosis. Multivariate analysis also found that the AG/AA genotype of rs10036719 and AG genotype of rs12516079 were independent prognostic factors. Moreover, the high expression of both CCDC26 and LINC02122 were shown to be associated with the poor survival status of GC patients.

Conclusions

We find that the genetic polymorphism of lncRNA plays a role in the development of GC and is closely related to the survival time of patients. It could serve as a predictor of the prognosis of GC.

Genetic polymorphisms in the miR-372 (rs12983273) and LncRNA HULC (rs7763881) genes and susceptibility to Hepatitis B virus (HBV) infection

BACKGROUND

MicroRNAs (miRNAs) and Long non-coding RNAs (lncRNAs) are two major types of non-coding RNAs (ncRNAs) with regulatory roles. The initiation and progression of numerous diseases have been linked to genetic variation in miRNAs and lncRNAs. Many diseases, including hepatitis infection, are thought to be regulated by miRNA-LncRNA interactions. In this study, Single nucleotide polymorphisms (SNPs) in miR-372 (rs28461391 C/T) and HULC (rs7763881 A/C) were believed to play a role in HBV infection risk.

METHODS AND RESULTS

Using the Polymerase chain reaction sequence-specific primer technique (PCR-SSP), 100 HBV patients and 100 healthy controls were genotyped for SNPs rs28461391 in miR-372 and rs7763881 in HULC. There was no significant difference in miR-372 rs12983273 genotype distribution between controls and HBV patients, according to our findings. On the other hand, there was a significant increase in HULC rs7763881 CC genotype (P < 0.05) coincides with a significant decrease in AC genotype distribution (P < 0.05) in HBV patients as compared to controls. Our results showed that the AA genotype is protective for HBV infection (OR 0.3; CI 0.13-9.07) while the CC genotype is associated with an increased risk of HBV infection (OR 3.43; CI 1.3-9.07).

CONCLUSIONS

Our results suggest that HULC rs7763881 A/C might be a biomarker for HBV susceptibility. Larger sample studies are needed to confirm our preliminary data. To the best of our knowledge, the present study was the first to investigate the relevance of miR-372 (rs28461391 C/T) and HULC (rs7763881 A/C) gene polymorphisms to the risk of HBV infection in the Egyptian population.