1. Circulating MicroRNAs as Biomarkers of Colorectal Cancer: Results From a Genome- Wide Profiling and Validation Study 
María Dolores Giráldez, Juan José Lozano, Georgina Ramírez, Elizabeth Hijona, Luis Bujanda, Antoni Castells, Meritxell Gironella 
Clinical Gastroenterology and Hepatology 
Volume 11, Issue 6, Pages e3 (June 2013)
DOI: /j.cgh
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2. Figure 1
Differential miRNA expression by microarrays (A) between patients with CRC and controls from set 1 and (B) between patients with AAs and controls. Heat map showing the 50 significantly deregulated miRNAs with the highest fold change. Red pixels correspond to an increased abundance of miRNA in the indicated plasma sample, whereas green pixels indicate decreased miRNA levels.
Clinical Gastroenterology and Hepatology  , e3DOI: ( /j.cgh )
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3. Figure 2
(A) Between-group analysis plot showing sample clustering based on miRNA expression profiling. Healthy controls (C), patients with CRC, and patients with AAs. (B) Venn diagram showing the number of significantly deregulated plasma miRNAs in patients with AAs and/or CRC, compared with healthy individuals (set 1).
Clinical Gastroenterology and Hepatology  , e3DOI: ( /j.cgh )
Copyright © 2013 AGA Institute Terms and Conditions

4. Figure 3
Box-plots showing plasma miRNA expression in CRC set 2 determined by qRT-PCR. Expression levels of miRNAs are normalized to miR16 and are represented as −ΔCt values. The lines inside the boxes denote the medians. The boxes mark the interval between the 25th and 75th percentiles.
Clinical Gastroenterology and Hepatology  , e3DOI: ( /j.cgh )
Copyright © 2013 AGA Institute Terms and Conditions

5. Figure 4
Receiver operating characteristic analysis for the (A) 2-plasma miRNA signature: miR19a+miR19b, and the (B) 3-plasma miRNA signature: miR19a+miR19b+miR15b according to the results obtained from microarray profiling in CRC set 1 and qRT-PCR data in CRC set 2.
Clinical Gastroenterology and Hepatology  , e3DOI: ( /j.cgh )
Copyright © 2013 AGA Institute Terms and Conditions