A novel application of structural equation modeling estimates the association between oxidative stress and colorectal adenoma

Ronald C. Eldridge, Michael Goodman, Roberd M. Bostick, Veronika Fedirko, Myron Gross, Bharat Thyagarajan, W. Dana Flanders

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

In vitro evidence implicates oxidative stress in many adverse health conditions, including colorectal neoplasia. In human studies, however, oxidative stress is measured by imperfect biomarkers, which are inconsistently associated with health outcomes. Structural equation modeling (SEM) offers one possible solution by modeling a latent (unobserved) construct from multiple biomarkers. Our goal was to investigate the association of a latent oxidative stress variable with colorectal adenoma. Using SEM, we analyzed pooled data from two cross-sectional studies of colorectal adenoma (n = 526) that measured five plasma biomarkers of oxidative stress and inflammation that comprised the latent oxidative stress variable: F2-isoprostanes (FIP), fluorescent oxidation products (FOP), mitochondrial DNA (MtDNA) copy number, γ-Tocopherol (Gtoc), and C-reactive protein (CRP). Higher levels of oxidative stress were associated with colorectal adenoma [OR = 3.23 per SD increase in oxidative stress; 95% confidence interval (CI), 1.28-8.18]. The latent variable estimate was considerably stronger than the associations of adenoma with the individual biomarkers, which were modest and mostly nonsignificant. Risk factors were associated with adenoma via the oxidative stress pathway, particularly overweight and obesity with an OR = 1.50; 95% CI, 1.10-2.81; and OR = 2.95; 95% CI, 1.28-12.45, respectively. Oxidative stress may be positively associated with colorectal adenoma, and important risk factors may act through this mechanism, but the cross-sectional design of the current study precludes observing the directionality of associations. The presence of an adenoma could affect levels of the circulating biomarkers; thus, we should be cautious of strong conclusions until the findings are replicated in a follow-up study.

Original languageEnglish (US)
Pages (from-to)52-58
Number of pages7
JournalCancer Prevention Research
Volume11
Issue number1
DOIs
StatePublished - Jan 2018

Bibliographical note

Publisher Copyright:
©2017 American Association for Cancer Research.

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