American Association for Cancer Research
00085472can113194-sup-methods_df_81k.pdf (81.81 kB)

Supplementary Methods from Genetic Determinants for Promoter Hypermethylation in the Lungs of Smokers: A Candidate Gene-Based Study

Download (81.81 kB)
journal contribution
posted on 2023-03-30, 21:00 authored by Shuguang Leng, Christine A. Stidley, Yushi Liu, Christopher K. Edlund, Randall P. Willink, Younghun Han, Maria Teresa Landi, Michael Thun, Maria A. Picchi, Shannon E. Bruse, Richard E. Crowell, David Van Den Berg, Neil E. Caporaso, Christopher I. Amos, Jill M. Siegfried, Yohannes Tesfaigzi, Frank D. Gilliland, Steven A. Belinsky

PDf file - 81K



The detection of tumor suppressor gene promoter methylation in sputum-derived exfoliated cells predicts early lung cancer. Here, we identified genetic determinants for this epigenetic process and examined their biologic effects on gene regulation. A two-stage approach involving discovery and replication was used to assess the association between promoter hypermethylation of a 12-gene panel and common variation in 40 genes involved in carcinogen metabolism, regulation of methylation, and DNA damage response in members of the Lovelace Smokers Cohort (N = 1,434). Molecular validation of three identified variants was conducted using primary bronchial epithelial cells. Association of study-wide significance (P < 8.2 × 10−5) was identified for rs1641511, rs3730859, and rs1883264 in TP53, LIG1, and BIK, respectively. These single-nucleotide polymorphisms (SNP) were significantly associated with altered expression of the corresponding genes in primary bronchial epithelial cells. In addition, rs3730859 in LIG1 was also moderately associated with increased risk for lung cancer among Caucasian smokers. Together, our findings suggest that genetic variation in DNA replication and apoptosis pathways impacts the propensity for gene promoter hypermethylation in the aerodigestive tract of smokers. The incorporation of genetic biomarkers for gene promoter hypermethylation with clinical and somatic markers may improve risk assessment models for lung cancer. Cancer Res; 72(3); 707–15. ©2011 AACR.

Usage metrics

    Cancer Research



    Ref. manager