Public Release: 

Three new lung cancer genetic biomarkers are identified in Dartmouth study

In a large genome-wide association analysis, Dartmouth researchers identify novel gene-smoking interactions in lung cancer development, providing new candidate biomarkers and further closing the gap between heritability and lung cancer

Dartmouth-Hitchcock Medical Center

LEBANON, NH - Both environmental and genetic risk factors contribute to development of lung cancer. Tobacco smoking is the most well-known environmental risk factor associated with lung cancer. A Dartmouth research team led by Yafang Li, PhD, has conducted a study to display that gene-smoking interactions play important roles in the etiology of lung cancer.

In their study, three novel SNPs (single-nucleotide polymorphisms), or variations in our DNA that underlie our susceptibility to developing disease, were identified in the interaction analysis, including two SNPs for non-small cell lung cancer risk and one SNP for squamous cell lung cancer risk. The three identified novel SNPs provide potential candidate biomarkers for lung cancer risk screening and intervention. The team's findings, "Genome-wide interaction study of smoking behavior and non-small cell lung cancer risk in Caucasian population," have been published in Carcinogenesis.

The genotype and phenotype data used in this analysis came from OncoArray Consortium. "Genome-wide interaction scanning remains a challenge as most genome-wide association studies are designed for main effect association analysis and have limited power for interaction analysis," said Li. "This study is by far the largest genome-wide SNP-smoking interaction analysis reported for lung cancer. We also adopted a two-step strategy in the analysis to reduce the power loss from ordinary gene-environment interaction analysis."

The three SNPs, identified in the team's study, stratify lung cancer risk by smoking behavior. These three SNPs can be potential biomarkers used to improve the precision to which researchers can categorize an individual's risk of lung cancer disease by smoking behavior, which are helpful for individualized prognosis and prediction of treatment plan.

While this reported study was restricted to a Caucasian population and the results may not be generalized to other ethnicities because of the different genetic backgrounds, the team aims to further test the identified interaction effect using genotype from other populations. "The limited overlap between discovery genotype and replication genotype may have reduced the power in our validation study," says Li. "We believe as more genotype data becomes available in the future we can discover more important gene-smoking interaction in lung cancer disease."

###

Yafang Li, PhD, is an Instructor in the Department of Biomedical Data Science at Dartmouth's Geisel School of Medicine.

About Norris Cotton Cancer Center at Dartmouth-Hitchcock

Norris Cotton Cancer Center combines advanced cancer research at Dartmouth's Geisel School of Medicine with patient-centered cancer care provided at Dartmouth-Hitchcock Medical Center in Lebanon, NH, at Dartmouth-Hitchcock regional locations in Manchester, Nashua and Keene, NH, and St. Johnsbury, VT, and at partner hospitals throughout New Hampshire and Vermont. It is one of 49 centers nationwide to earn the National Cancer Institute's "Comprehensive Cancer Center" designation. Learn more about Norris Cotton Cancer Center research, programs, and clinical trials online at cancer.dartmouth.edu.

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.