Abstract
BACKGROUND:
The insulin-like growth
factor (IGF) system was documented to play a predominant role in neoplasia. As
lung cancer is one of the most malignant cancers, we conducted a meta-analysis
in order to investigate the strength of association between circulating IGF-1
and IGFBP-3 levels and lung cancer.
METHODOLOGY/PRINCIPAL
FINDINGS:
A systematic literature
search was conducted to identify all prospective case-control studies and
case-control studies on circulating IGFs and IGFBPs levels. Six nested
case-control studies (1 043 case subjects and 11 472 control participants) and
eight case-control studies (401 case subjects and 343 control participants)
were included in this meta-analysis. Pooled measure was calculated as the
inverse variance-weighted mean of the natural logarithm of multivariate adjusted
OR with 95% CIs for highest vs. lowest levels to assess the association of
circulating IGF-1 and IGFBP-3 concentrations and lung cancer. Standard mean
difference (SMD) was also calculated to indicate the difference of the
circulating IGF-1 and IGFBP-3 concentrations between the lung cancer case group
and the control group. Of the nested case-control studies, ORs for the highest
vs. lowest levels of IGF-1 and IGFBP-3 were 1.047 (95% CI: [0.802,1.367], P = 0.736) and 0.960 (95%CI: [0.591,1.559], P = 0.868) respectively; and SMDs were -0.079 (95%CI:[
-0.169, 0.011], P = 0.086) and -0.097 (95%CI:[
-0.264,0.071], P = 0.258) for IGF-1 and IGFBP-3
respectively. As to the case-control studies, SMDs were 0.568 (95%CI:[ -0.035,
1.171], P = 0.065) and -0.780 (95%CI:[ -1.358,
-0.201], P = 0.008) for IGF-1 and IGFBP-3
respectively.
CONCLUSIONS/SIGNIFICANCE:
Inverse association was
shown between IGFBP-3 and lung cancer in the case-control studies,and the
circulating level of IGFBP-3 underwent a decline during tumorogenesis and
development of lung cancer, which suggested IGFBP-3 a promising candidate for the
biomarker of lung cancer.
Source: Association
between Circulating Levels of IGF-1 and IGFBP-3 and Lung Cancer Risk: A
Meta-Analysis. Cao H ,
Wang G, Meng L, Shen H, Feng Z, Liu Q, Du J (dujiajun@sdu.edu.cn). PLoS One.
2012;7(11):e49884.
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