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91, C-peptide = 0.96, and leptin = 0.99) and were moderately correlated for IGF-II (rho-C = 0.82). Three types of correlations yielded relatively similar results, except the Spearman rank correlation for IGF-II, which resulted in a much lower correlation between serum and plasma values. In Bland�CAltman plots (Fig. 1A�CE, right column), nearly all the individual values for each of the five IGFs fit within the two standard deviation limits, which represent the clinical acceptable difference between two methods. However, for IGF-II, ROR1 the slope deviates from the ideal value of one, suggesting that the accuracy and precision of measuring IGF-II in serum and plasma do not align. Figure 1 Concordance correlation coefficients (left) and Bland�CAltman graphs (right) of log-transformed concentrations of IGF-I (A), IGF-II (B) IGFBP-3 (C), C-peptide (D), and leptin (E). Discussion Our study demonstrates that concentrations of IGFs are relatively similar in serum and EDTA-plasma samples, suggesting that epidemiologic studies can leverage existing archived samples, which may be processed in different ways, to further investigate the relationship between IGFs and cancer. Given the many sources of variation between serum and EDTA plasma, the highly correlated IGF concentrations in matched samples is reassuring for pooling and consortial studies. Concentrations of IGFs and leptin in serum and plasma this website were highly correlated, which is consistent with previous studies.9�C11 Even though our study lacked power to detect statistically significant differences in means, the mean differences in IGF concentrations between serum and plasma were no MK-2206 chemical structure greater than 10.9%. This is in agreement with the 5%�C10% differences found between serum and EDTA plasma taken from men and women aged 20�C60 years.12 A mean difference a clinically significant effect of sample processing.13 However, a mean difference