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RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA
Published on: April 10, 2018
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Association between long non-coding RNA polymorphisms and cancer risk: a meta-analysis.
Xin Huang1, Weiyue Zhang2, Zengwu Shao3
1Department of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Bioscience Reports
|May 27, 2018
Summary
Long non-coding RNA (lncRNA) gene single-nucleotide polymorphisms (SNPs) show associations with overall cancer risk. These lncRNA SNPs could serve as potential predictive biomarkers for cancer risk assessment.
Area of Science:
- Genetics and Genomics
- Molecular Biology
- Cancer Research
Background:
- Long non-coding RNAs (lncRNAs) are increasingly recognized for their roles in various biological processes, including cancer development.
- Single-nucleotide polymorphisms (SNPs) within lncRNA genes may influence gene expression and function, potentially impacting cancer susceptibility.
Purpose of the Study:
- To conduct a meta-analysis evaluating the association between lncRNA gene polymorphisms and overall cancer risk.
- To identify specific lncRNA SNPs that are significantly correlated with cancer risk.
Main Methods:
- A comprehensive meta-analysis was performed on existing studies investigating lncRNA SNPs and cancer risk.
- Data from 12 SNPs across five common lncRNA genes were analyzed.
Main Results:
- The lncRNA antisense non-coding RNA in the INK4 locus (ANRIL) SNPs rs1333048, rs4977574, and rs10757278 were associated with overall cancer risk.
- SNPs in metastasis-associated lung adenocarcinoma transcript 1 (MALAT1), HOXA distal transcript antisense RNA (HOTTIP), and highly up-regulated in liver cancer (HULC) also showed correlations with cancer risk.
- Four SNPs in prostate cancer-associated ncRNA 1 (PRNCR1) were linked to cancer risk, while one PRNCR1 SNP (rs7007694) showed no association.
Conclusions:
- Several investigated lncRNA SNPs are significantly associated with overall cancer risk.
- These lncRNA SNPs may represent potential predictive biomarkers for cancer risk.
- Further research with larger sample sizes and additional lncRNA SNPs is recommended to validate these findings.
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