Table 1.
Number of patients per disease group participating in the study.
Table 2.
Real-time ready assays applied in RT-PCR validation.
Table 3.
The set of 11 discriminatory transcripts.
Figure 1.
Discriminatory power of the classifier set with 11 transcripts – Principal component analysis.
A. Original sample set (53 samples, microarray) B. Independent sample set (94 samples, microarray) C. Independent sample set (68 samples, RT-PCR) D. GSE8671 (64 samples, microarray) E. GSE18105 (111 samples, microarray) a = adenoma, n = normal, crc = colorectal cancer.
Table 4.
Discriminant analysis results of the 11 classificatory transcripts.
Figure 2.
ROC statistic results of original sample group of microarray (53 samples) (A–C), independent sample group of microarray (94 samples) (D–F).
The applied multiple logistic regression equations were applied on the different datasets.
Figure 3.
Separation of high-grade dysplastic adenoma and early cancer samples using the set of 11 transcripts.
A. Microarray B. Real-time PCR C. Heat map of real-time PCR D. Real-time PCR considering the changes in the diagnosis E. Heat map of real time PCR considering the changes in the diagnosis; Adenoma HGD = high-grade dysplastic adenoma, CRC early stage = colorectal cancer early stage.