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Published on: September 20, 2016
Identification of regulatory SNPs associated with genetic modifications in lung adenocarcinoma
Tzu-Pin Lu1, Chuhsing K Hsiao2,3, Liang-Chuan Lai4,5
1Department of Public Health, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan. tplu@ntu.edu.tw.
Background:
Although much research effort has been devoted to elucidating lung cancer, the molecular mechanism of tumorigenesis still remains unclear. A major challenge to improve the understanding of lung cancer is the difficulty of identifying reproducible differentially expressed genes across independent studies, due to their low consistency. To enhance the reproducibility of the findings, an integrated analysis was performed to identify regulatory SNPs. Thirty-two pairs of tumor and adjacent normal lung tissue specimens were analyzed using Affymetrix U133plus2.0, Affymetrix SNP 6.0, and Illumina Infinium Methylation microarrays. Copy number variations (CNVs) and methylation alterations were analyzed and paired t-tests were used to identify differentially expressed genes.
Results:
A total of 505 differentially expressed genes were identified, and their dysregulated patterns moderately correlated with CNVs and methylation alterations based on the hierarchical clustering analysis. Subsequently, three statistical approaches were performed to explore regulatory SNPs, which revealed that the genotypes of 551 and 66 SNPs were associated with CNV and changes in methylation, respectively. Among them, downstream transcriptional dysregulation was observed in 9 SNPs for CNVs and 4 SNPs for methylation alterations.
Conclusions:
In summary, these identified SNPs concurrently showed the same direction of gene expression changes with genetic modifications, suggesting their pivotal roles in the genome for non-smoking women with lung adenocarcinoma.
Insights
Researchers identified specific single nucleotide polymorphisms (SNPs) linked to gene expression changes in lung adenocarcinoma. These findings offer insights into the genomic alterations driving cancer in non-smoking women.
Area of Science:
- Genomics
- Molecular Biology
- Cancer Research
Background:
- The molecular mechanisms of lung cancer remain incompletely understood.
- Reproducible identification of differentially expressed genes is challenging due to low consistency across studies.
- Integrated analysis is crucial for identifying reliable molecular markers.
Purpose of the Study:
- To enhance the reproducibility of lung cancer findings through integrated analysis.
- To identify regulatory single nucleotide polymorphisms (SNPs) associated with gene expression changes.
- To investigate the roles of copy number variations (CNVs) and methylation alterations in lung tumorigenesis.
Main Methods:
- Analysis of 32 pairs of tumor and adjacent normal lung tissues using Affymetrix U133plus2.0, Affymetrix SNP 6.0, and Illumina Infinium Methylation microarrays.
- Identification of differentially expressed genes using paired t-tests.
- Analysis of copy number variations (CNVs) and methylation alterations.
- Application of three statistical approaches to identify regulatory SNPs associated with CNVs and methylation changes.
Main Results:
- Identified 505 differentially expressed genes with patterns moderately correlating with CNVs and methylation alterations.
- Discovered 551 SNPs associated with CNVs and 66 SNPs associated with methylation changes.
- Observed downstream transcriptional dysregulation in 9 SNPs for CNVs and 4 SNPs for methylation alterations.
Conclusions:
- Identified SNPs demonstrated concurrent gene expression changes and genetic modifications.
- These SNPs play pivotal roles in the genome of non-smoking women with lung adenocarcinoma.
- The findings contribute to a better understanding of lung cancer molecular mechanisms.
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