Jie Wu1, Hui Cai1, Yong-Bing Xiang2, Charles E Matthews3, Fei Ye4, Wei Zheng1, Qiuyin Cai1, Xiao-Ou Shu1. 1. a Department of Medicine, Division of Epidemiology , Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine , Nashville , TN , USA. 2. b Department of Epidemiology , Shanghai Cancer Institute , Shanghai , China. 3. c Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics , National Cancer Institute , Bethesda , MD , USA. 4. d Department of Biostatistics , Vanderbilt University School of Medicine , Nashville , TN , USA.
Abstract
BACKGROUND: Circulating miRNAs as potential non-invasive biomarkers for disease risk assessment and cancer early diagnosis have attracted increasing interest. Little information, however, is available regarding the intra-individual variation of circulating miRNA levels. METHODS: We measured expression levels of a panel of 800 miRNAs in repeated plasma samples from 51 healthy individuals that were collected 6 to 12 months apart and evaluated the intra-individual variation by the intra-class correlation coefficient (ICC). RESULTS: After background correction, a total of 185 miRNAs were detected in at least 10% of the plasma samples, with 69 and 28 miRNAs being detected in 50% and 90% of samples, respectively. The median ICC was 0.46 for these 185 miRNAs. Among them, 41% (75 miRNAs) had an ICC ≥ 0.5, and 23% (42 miRNAs) had an ICC ≥ 0.6. The ICC is higher for miRNAs with higher expression levels or higher detection rates, when compared to those with lower expression levels or lower detection rates. CONCLUSIONS: These results suggest that common circulating miRNAs are stable over a relatively long period and can serve as reliable biomarkers for epidemiological and clinical research.
BACKGROUND: Circulating miRNAs as potential non-invasive biomarkers for disease risk assessment and cancer early diagnosis have attracted increasing interest. Little information, however, is available regarding the intra-individual variation of circulating miRNA levels. METHODS: We measured expression levels of a panel of 800 miRNAs in repeated plasma samples from 51 healthy individuals that were collected 6 to 12 months apart and evaluated the intra-individual variation by the intra-class correlation coefficient (ICC). RESULTS: After background correction, a total of 185 miRNAs were detected in at least 10% of the plasma samples, with 69 and 28 miRNAs being detected in 50% and 90% of samples, respectively. The median ICC was 0.46 for these 185 miRNAs. Among them, 41% (75 miRNAs) had an ICC ≥ 0.5, and 23% (42 miRNAs) had an ICC ≥ 0.6. The ICC is higher for miRNAs with higher expression levels or higher detection rates, when compared to those with lower expression levels or lower detection rates. CONCLUSIONS: These results suggest that common circulating miRNAs are stable over a relatively long period and can serve as reliable biomarkers for epidemiological and clinical research.
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