Association of ANRIL Gene Polymorphisms with Gastric Cancer Risk: A Case–Control Study

<b><i>Background:</i></b> Gastric cancer's (GC) cause is unknown, but its complexity indicates that, in addition to environmental factors, it may have genetic origins. Scientists are studying single-nucleotide polymorphisms (SNPs) in the antisense noncoding RNA in the INK4 locus (ANRIL) gene, which encodes a long noncoding RNA molecule. They found a link between the ANRIL gene product and some polymorphisms and GC, suggesting genetic changes may lead to precancerous conditions. <b><i>Methods:</i></b> In a case-control research that included 250 patients with GC and 210 controls who were age- and gender-matched, four SNPs within the ANRIL gene were genotyped. These SNPs were rs1333049, rs496892, rs2383207, and rs2151280. Tetra-primer amplification refractory mutation system-PCR was utilized to carry out the process of genotyping. <b><i>Results:</i></b> It was found that the chance of developing GC was connected with three SNPs rs2151280, rs1333049, and rs496892. Nevertheless, rs2383207 did not demonstrate any meaningful connection. In addition, whereas CCTC and TTCC haplotypes were shown to be less common, certain haplotypes that contained these SNPs (TTCG, TCTC, and TTTC) displayed a considerably higher prevalence in the cancer group in comparison to the control group. <b><i>Conclusion:</i></b> This study showed novel associations between specific ANRIL gene polymorphisms (SNPs) and the risk of GC. These findings shed light on the potential role of ANRIL SNPs in GC risk and highlight the need for additional research to clarify the underlying functional processes. Understanding these functional processes might lead to developing novel diagnostic or treatment approaches for this cancer.

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Publication Details

Journal
Genetic Testing and Molecular Biomarkers
Published
2024-10-08
DOI
https://doi.org/10.1089/gtmb.2024.0302
Citations
1
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.29
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article

Association of ANRIL Gene Polymorphisms with Gastric Cancer Risk: A Case–Control Study

Abbas Yazdanbod, Mohammad Mazani, Aliakbar Fazaeli, Farhad Pourfarzi et al.
1 citations
Genetic Testing and Molecular Biomarkers
Cancer-related molecular mechanisms research
0.29
article

Association of ANRIL Gene Polymorphisms with Gastric Cancer Risk: A Case–Control Study

Abbas Yazdanbod, Mohammad Mazani, Aliakbar Fazaeli, Farhad Pourfarzi, Samaneh Hasani
article en
1 citations

Abstract

<b><i>Background:</i></b> Gastric cancer's (GC) cause is unknown, but its complexity indicates that, in addition to environmental factors, it may have genetic origins. Scientists are studying single-nucleotide polymorphisms (SNPs) in the antisense noncoding RNA in the INK4 locus (ANRIL) gene, which encodes a long noncoding RNA molecule. They found a link between the ANRIL gene product and some polymorphisms and GC, suggesting genetic changes may lead to precancerous conditions. <b><i>Methods:</i></b> In a case-control research that included 250 patients with GC and 210 controls who were age- and gender-matched, four SNPs within the ANRIL gene were genotyped. These SNPs were rs1333049, rs496892, rs2383207, and rs2151280. Tetra-primer amplification refractory mutation system-PCR was utilized to carry out the process of genotyping. <b><i>Results:</i></b> It was found that the chance of developing GC was connected with three SNPs rs2151280, rs1333049, and rs496892. Nevertheless, rs2383207 did not demonstrate any meaningful connection. In addition, whereas CCTC and TTCC haplotypes were shown to be less common, certain haplotypes that contained these SNPs (TTCG, TCTC, and TTTC) displayed a considerably higher prevalence in the cancer group in comparison to the control group. <b><i>Conclusion:</i></b> This study showed novel associations between specific ANRIL gene polymorphisms (SNPs) and the risk of GC. These findings shed light on the potential role of ANRIL SNPs in GC risk and highlight the need for additional research to clarify the underlying functional processes. Understanding these functional processes might lead to developing novel diagnostic or treatment approaches for this cancer.

Genetic Testing and Molecular BiomarkersVol. 28(11)
Ardabil University of Medical Sciences (IR)
Good health and well-being
Openalex Percentile: Top 39%
Cancer-related molecular mechanisms research
0.29
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