Publication

Gene methylation biomarkers in sputum as a classifier for lung cancer risk.

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  • 03/05/2025
Type of Material
Authors
    Shuguang Leng, Lovelace Respiratory Research InstituteGuodong Wu, Lovelace Respiratory Research InstituteDonna M. Klinge, Lovelace Respiratory Research InstituteCynthia L. Thomas, Lovelace Respiratory Research InstituteElia Casas, Lovelace Respiratory Research InstituteMaria A. Picchi, Lovelace Respiratory Research InstituteChristine A. Stidley, University of New MexicoSandra J. Lee, Harvard Medical SchoolSeena Aisner, Rutgers New Jersey Medical SchoolJill M. Siegfried, University of MinnesotaSuresh Ramalingam, Emory UniversityFadlo Khuri, Emory UniversityDaniel D. Karp, MD Anderson Cancer CenterSteven A. Belinsky, Lovelace Respiratory Research Institute, Albuquerque
Language
  • English
Date
  • 2017-07-15
Publisher
  • Impact Journals
Publication Version
Copyright Statement
  • © 2017 Leng et al.
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 1949-2553
Volume
  • 8
Issue
  • 38
Start Page
  • 63978
End Page
  • 63985
Grant/Funding Information
  • The State of New Mexico as a direct appropriation from the Tobacco Settlement Fund to SAB through collaboration with University of New Mexico provided initial support to establish the LSC. R01CA097356 (SAB) and NIH/NCI P30 CA118100 provided additional support.
  • This work was primarily supported by National Cancer Institute grant R01 CA095568 (SAB).
  • This study was also supported in part by the ECOG-ACRIN Cancer Research Group (Robert L. Comis, MD and Mitchell D. Schnall, MD, PhD, Group Chairs Co-Chairs) by Public Health Service Grants CA180794, CA180820, CA180864, CA180844, CA180858, CA189828 and the National Cancer Institute, National Institutes of Health and the Department of Health and Human Services.
  • The PLuSS cohort was established and supported through the NCI SPORE in Lung Cancer grant P50 CA090440 to the University of Pittsburgh (J.M.S.).
Supplemental Material (URL)
Abstract
  • CT screening for lung cancer reduces mortality, but will cost Medicare ~2 billion dollars due in part to high false positive rates. Molecular biomarkers could augment current risk stratification used to select smokers for screening. Gene methylation in sputum reflects lung field cancerization that remains in lung cancer patients post-resection. This population was used in conjunction with cancer-free smokers to evaluate classification accuracy of a validated eight-gene methylation panel in sputum for cancer risk. Sputum from resected lung cancer patients (n=487) and smokers from Lovelace (n=1380) and PLuSS (n=718) cohorts was studied for methylation of an 8-gene panel. Area under a receiver operating characteristic curve was calculated to assess the prediction performance in logistic regressions with different sets of variables. The prevalence for methylation of all genes was significantly increased in the ECOG-ACRIN patients compared to cancer-free smokers as evident by elevated odds ratios that ranged from 1.6 to 8.9. The gene methylation panel showed lung cancer prediction accuracy of 82-86% and with addition of clinical variables improved to 87-90%. With sensitivity at 95%, specificity increased from 25% to 54% comparing clinical variables alone to their inclusion with methylation. The addition of methylation biomarkers to clinical variables would reduce false positive screens by ruling out one-third of smokers eligible for CT screening and could increase cancer detection rates through expanding risk assessment criteria.
Author Notes
Keywords
Research Categories
  • Health Sciences, Oncology
  • Health Sciences, Pharmacology

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