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Published on: September 20, 2016
Genetic susceptibility to lung cancer
Haruhiko Sugimura1, Hong Tao, Masaya Suzuki
1Department of Pathology, Hamamatsu University School of Medicine, Higashi-ku, Hamamatsu, Shizuoka, Japan. hsugimur@hama-med.ac.jp
Frontiers in Bioscience (Scholar Edition)
|May 31, 2011
Summary
Genetic susceptibility significantly influences lung cancer risk, particularly through smoking behaviors. Advanced genomic and exposome approaches are revolutionizing lung cancer risk assessment in population studies.
Area of Science:
- Genetics
- Environmental Health
- Cancer Research
Background:
- Lung cancer is primarily environmental, yet genetic susceptibility is a key research focus.
- Historical interest in genetic factors predates modern high-throughput genomic technologies.
- Advances in genotyping and genome databases enable large-scale association studies.
Purpose of the Study:
- To provide a historical review of lung cancer susceptibility research.
- To offer updated perspectives on genetic and environmental interactions in lung cancer.
- To explore emerging 'omics' approaches for risk evaluation.
Main Methods:
- Large-scale genome-wide association studies (GWAS) using millions of genetic markers.
- Behavior genetics research examining smoking behavior and nicotine addiction.
- Comprehensive 'omics' approaches: genomics, transcriptomics, proteomics.
- Emerging adductome and exposome analyses integrating lifestyle data.
Main Results:
- Polymorphisms in the human central nervous system are linked to lung cancer development.
- Genetic factors influencing smoking behavior and addiction play a crucial role.
- Hypothesis-free, comprehensive 'omics' studies reveal novel associations.
- The exposome approach integrates lifestyle factors into genetic association studies.
Conclusions:
- Genetic susceptibility, especially related to smoking, is critical in lung cancer.
- Advanced 'omics' technologies and exposome research are transforming lung cancer risk assessment.
- Future genome cohort studies will incorporate these new paradigms for improved risk evaluation.
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