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High-risk Colorectal Adenomas and Serum Insulin-like Growth Factors

Overview
Journal Br J Surg
Specialty General Surgery
Date 2001 Jan 3
PMID 11136321
Citations 27
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Abstract

Background: This study investigated the hypothesis that circulating levels of insulin-like growth factor (IGF) I and its main binding protein (IGFBP-3) predict for the presence of colorectal adenomas, surrogate markers of colorectal cancer risk.

Methods: Within the Flexi-Scope Trial (healthy volunteers aged 55-64 years), at one study centre, IGF-I and IGFBP-3 levels in serum samples collected prospectively from 442 attendants were measured. Of these, 100 individuals underwent a complete screening colonoscopy. There were 47 normal examinations, while in 11 examinations low-risk adenomas and in 42 examinations high-risk adenomas were identified. Estimates of relative risk (RR) for the adenomatous stages were calculated by means of unconditional logistic regression, adjusting for known risk factors.

Results: Mean serum IGF-I and IGFBP-3 levels were similar in individuals with a normal colonoscopy finding and in those with low-risk adenomas. By contrast, the mean(s.d.) serum IGF-I level was increased (190(53) versus 169(54) microg/l; P = 0.06) and the serum IGFBP-3 concentration was significantly decreased (3.22(0.60) versus 3.47(0.62) mg/l; P = 0.05) in individuals with high-risk adenomas compared with levels in those with normal colonoscopy and low-risk adenomas combined. Levels were unaffected by removal of the adenomas. With high-risk adenoma as the dependent factor, regression models demonstrated a significant positive association with IGF-I after controlling for IGFBP-3 (RR per one standard deviation (1s.d.) change 4.39 (95 per cent confidence interval (c.i.) 1.31-14.7); P = 0.02) and, independently, an inverse association with IGFBP-3 after adjustment for IGF-I (RR per 1s.d. change 0.41 (95 per cent c.i. 0. 20-0.82); P = 0.01).

Conclusion: These findings suggest that circulating IGF-I and IGFBP-3 levels are related to future colorectal cancer risk and, specifically, may predict adenoma progression.

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