Table 1.
Characteristics of the Three Data Sets Used for Training of the GRS
| GEO Accession | GSE9843 | GSE25097 | GSE40873 |
|---|---|---|---|
| Responsible author | Chiang | Zhang | Kudo |
| Related publication | [22] | [23] | [24] |
| Microarray platform | Affymetrix Human Genome U133 Plus 2.0 Array | Rosetta/Merck Human RSTA Affymetrix 1.0 | Affymetrix Human Genome U133 Plus 2.0 Array |
| Preprocessing | RMA | RMA | RMA |
| Tumor or liver samples | Tumor | Both | Liver |
| Outcome parameter for training | BCLC C vs 0 & A & B | Tumor vs adjacent nontumor | Multicentric occurrence vs no multicentric occurrence |
| Number of positive outcomes | 8 | 268 | 17 |
| Number of negative outcomes | 72 | 243 | 32 |
RMA, robust multiarray; BCLC, Barcelona Clinic Liver Cancer.
More detailed information can be found at http://www.ncbi.nlm.nih.gov/geo/.