Abstract

DNA pooling in combination with high-throughput sequencing was done as a part of the Sequenom-Genefinder project. In the pilot study, we tested 83,715 single nucleotide polymorphisms (SNP), located primarily in gene-based regions, to identify polymorphic susceptibility variants for lung cancer. For this pilot study, 369 male cases and 287 controls of both sexes (white Europeans of Southern German origin) were analyzed. The study identified a candidate region in 22q12.2 that contained numerous SNPs showing significant case-control differences and that coincides with a region that was shown previously to be frequently deleted in lung cancer cell lines. The candidate region overlies the seizure 6-like (SEZ6L) gene. The pilot study identified a polymorphic Met430Ile substitution in the SEZ6L gene (SNP rs663048) as the top candidate for a variant modulating risk of lung cancer. Two replication studies were conducted to assess the association of SNP rs663048 with lung cancer risk. The M. D. Anderson Cancer Center study included 289 cases and 291 controls matched for gender, age, and smoking status. The Liverpool Lung Project (a United Kingdom study) included 248 cases and 233 controls. Both replication studies showed an association of the rs663048 with lung cancer risk. The homozygotes for the variant allele had more than a 3-fold risk compared with the wild-type homozygotes [combined odds ratio (OR), 3.32; 95% confidence interval (95% CI), 1.81-7.21]. Heterozygotes also had a significantly elevated risk of lung cancer from the combined replication studies with an OR of 1.15 (95% CI, 1.04-1.59). The effect remained significant after adjusting for age, gender, and pack-years of tobacco smoke. We also compared expression of SEZ6L in normal human bronchial epithelial cells (n = 7), non-small cell lung cancer (NSCLC; n = 52), and small cell lung cancer (SCLC; n = 22) cell lines by using Affymetrix HG-U133A and HG-U133B GeneChips. We found that the average expression level of SEZ6L in NSCLC cell lines was almost two times higher and in SCLC cell lines more than six times higher when compared with normal lung epithelial cell lines. Using the National Center for Biotechnology Information Gene Expression Omnibus database, we found a approximately 2-fold elevated and statistically significant (P = 0.004) level of SEZ6L expression in tumor samples compared with normal lung tissues. In conclusion, the results of these studies representing 906 cases compared with 811 controls indicate a role of the SEZ6L Met430Ile polymorphic variant in increasing lung cancer risk.

Highlights

  • Up to 90% of lung cancers are attributable to smoking, only a small fraction of smokers develop lung cancer over their lifetimes [1], suggesting that genetic variation may contribute to lung cancer susceptibility [2]

  • Using the National Center for Biotechnology Information Gene Expression Omnibus database, we found a f2-fold elevated and statistically significant (P = 0.004) level of seizure 6-like (SEZ6L) expression in tumor samples compared with normal lung tissues

  • The candidate gene approach is based on prior data indicating that a gene(s) is involved in cancer

Read more

Summary

Introduction

Up to 90% of lung cancers are attributable to smoking, only a small fraction of smokers develop lung cancer over their lifetimes [1], suggesting that genetic variation may contribute to lung cancer susceptibility [2]. Sequenom (San Diego, CA) has developed a DNA analysis platform, capable of highthroughput genotyping with pooled DNA allele frequency analysis. Using this approach, Sequenom implemented a Genetics Discovery platform with dense genome-wide single nucleotide polymorphism (SNP) markers [7, 8]. Significant SNPs identified in this first step were individually genotyped and validated in replication studies using independent samples. The efficiency of this strategy has been shown by the rediscovery of genes shown

Objectives
Methods
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.