Publication

Association of baseline inflammatory biomarkers with cancer mortality in the REGARDS cohort

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Last modified
  • 05/20/2025
Type of Material
Authors
    Tomi Akinyemiju, Duke UniversityJustin X. Moore, Washington University St. LouisMaria Pisu, University of Alabama BirminghamMichael Goodman, Emory UniversityVirginia J. Howard, University of Alabama BirminghamMonika Safford, Weill Cornell Medical CollegeSusan C. Gilchrist, University of Texas MD Anderson Cancer CenterMary Cushman, University of VermontLeAnn Long, University of Alabama BirminghamSuzanne E. Judd, University of Alabama Birmingham
Language
  • English
Date
  • 2019-08-01
Publisher
  • Impact Journals
Publication Version
Copyright Statement
  • © 2019 Impact Journals LLC. All rights reserved.
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 1949-2553
Volume
  • 10
Issue
  • 47
Start Page
  • 4857
End Page
  • 4867
Grant/Funding Information
  • Dr. Akinyemiju was supported by grant K01TW010271 from the NIH.
  • This analysis was supported by award R01-NR012726 from the National Institute for Nursing Research, UL1-RR025777 from the National Center for Research Resources, K08HL096841 and R01HL080477 from the National Heart, Lung, and Blood Institute, and by grants from the Center for Clinical and Translational Science and the Lister Hill Center for Health Policy of the University of Alabama at Birmingham.
  • Dr.Moore was supported by grants R25CA47888 and T32CA190194 from the National Cancer Institute.
  • The REGARDS study was supported by cooperative agreement U01-NS041588 from the National Institute of Neurological Disorders and Stroke, National Institutes of Health, Department of Health and Human Service.
Abstract
  • This study examines the association between inflammatory biomarkers and risk of cancer mortality by race. Data were obtained from 1,856 participants in the prospective REGARDS cohort who were cancer-free at baseline, and analyzed in relation to cancer mortality prospectively. Biomarkers were log-transformed and categorized into tertiles due to non-normal distributions, and Cox proportional hazard regression models were utilized to compute hazard ratios with 95% confidence intervals using robust sandwich methods. Individuals in the highest tertile of IL-6 had over a 12-fold increased risk of cancer mortality (HR: 12.97, 95% CI: 3.46-48.63); those in the highest tertile of IL-8 had over a 2-fold increased risk of cancer mortality (HR: 2.21, 95% CI: 0.86- 5.71), while those in the highest tertile of IL-10 had over a 3-fold increased risk of cancer mortality (HR: 3.06, 95% CI: 1.35-6.89). In race-stratified analysis, each unit increase in IL-6 was associated with increased risk of cancer mortality among African- Americans (HR: 3.88, 95% CI: 1.17-12.88) and Whites (5.25, 95% CI: 1.24-22.31). If replicated in larger, racially diverse prospective cohorts, these results suggest that cancer patients may benefit from clinical or lifestyle approaches to regulate systemic inflammation as a cancer prevention strategy.
Author Notes
Keywords
Research Categories
  • Health Sciences, Oncology

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