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Genomic insights for personalised care in lung cancer and smoking cessation: motivating at-risk individuals toward evidence-based health practices

  1. Author:
    Chen, Tony
    Pham, Giang
    Fox, Louis
    Adler, Nina
    Wang,Kevin
    Zhang, Jingning
    Byun, Jinyoung
    Han, Younghun
    Saunders, Gretchen R B
    Liu, Dajiang
    Bray, Michael J
    Ramsey, Alex T
    McKay, James
    Bierut, Laura J
    Amos, Christopher I
    Hung, Rayjean J
    Lin, Xihong
    Zhang, Haoyu
    Chen, Li-Shiun

  2. Author Address

    Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, USA. Electronic address: tonychen@g.harvard.edu., Department of Psychiatry, Washington University School of Medicine, St. Louis, USA., Department of Anthropology, University of Toronto, Toronto, ON, Canada; Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, and University of Toronto, Toronto, Canada., Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA; Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc, Rockville, MD, USA., Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA., Department of Medicine, Section of Epidemiology and Population Science, Institute for Clinical and Translational Research, Houston, TX, USA., Department of Psychology, University of Minnesota, Minneapolis, MN, USA., Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA., Department of Genetic Counseling, Bay Path University, Longmeadow, MA, USA; ThinkGenetics, Inc, USA., International Agency for Research on Cancer, World Health Organization, Lyon, France., Department of Medicine, Section of Epidemiology and Population Science, Institute for Clinical and Translational Research, Houston, TX, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA., Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, USA; Department of Statistics, Harvard University, Cambridge, USA., Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA. Electronic address: haoyu.zhang2@nih.gov., Department of Psychiatry, Washington University School of Medicine, St. Louis, USA. Electronic address: li-shiun@wustl.edu.,
    1. Year: 2024
    2. Date: Nov 08
    3. Epub Date: 2024 11 08
  2. Journal: EBioMedicine
    1. 110
    2. Pages: 105441
  4. Type of Article: Article
  5. Article Number: 105441
  1. Abstract:

    Lung cancer and tobacco use pose significant global health challenges, necessitating a comprehensive translational roadmap for improved prevention strategies such as cancer screening and tobacco treatment, which are currently under-utilised. Polygenic risk scores (PRSs) may further motivate health behaviour change in primary care for lung cancer in diverse populations. In this work, we introduce the GREAT care paradigm, which integrates PRSs within comprehensive patient risk profiles to motivate positive health behaviour changes. We developed PRSs using large-scale multi-ancestry genome-wide association studies and standardised PRS distributions across all ancestries. We validated our PRSs in 561,776 individuals of diverse ancestry from the GISC Trial, UK Biobank (UKBB), and All of Us Research Program (AoU). Significant odds ratios (ORs) for lung cancer and difficulty quitting smoking were observed in both UKBB and AoU. For lung cancer, the ORs for individuals in the highest risk group (top 20% versus bottom 20%) were 1.85 (95% CI: 1.58-2.18) in UKBB and 2.39 (95% CI: 1.93-2.97) in AoU. For difficulty quitting smoking, the ORs (top 33% versus bottom 33%) were 1.36 (95% CI: 1.32-1.41) in UKBB and 1.32 (95% CI: 1.28-1.36) in AoU. Our PRS-based intervention model leverages large-scale genetic data for robust risk assessment across populations, which will be evaluated in two cluster-randomised clinical trials. This approach integrates genomic insights into primary care, promising improved outcomes in cancer prevention and tobacco treatment. National Institutes of Health, NIH Intramural Research Program, National Science Foundation. Published by Elsevier B.V.

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External Sources

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  2. DOI: 10.1016/j.ebiom.2024.105441
  3. PMID: 39520911
  4. PII : S2352-3964(24)00477-8

Library Notes

  1. Fiscal Year: FY2024-2025
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