Table 2 Independent datasets with number of tumoural and normal samples for each cancer type
From: Integration of multiple networks and pathways identifies cancer driver genes in pan-cancer analysis
| Cancer Type | GEO ID Data | No. Tumoural samples | No. Normal samples |
|---|---|---|---|
| Bladder Urothelial Carcinoma | GSE13507 | 165 | 10 |
| Breast invasive carcinoma cancer | GSE39004 | 61 | 47 |
| Colon adenocarcinoma | GSE41657 | 25 | 12 |
| Esophageal carcinoma | GSE20347 | 17 | 17 |
| Head and Neck squamous cell carcinoma | GSE6631 | 22 | 22 |
| Kidney Chromophobe | GSE15641 | 6 | 23 |
| Kidney renal clear cell carcinoma | GSE15641 | 32 | 23 |
| Kidney renal papillary cell carcinoma | GSE15641 | 11 | 23 |
| Liver hepatocellular carcinoma | GSE45267 | 46 | 41 |
| Lung adenocarcinoma | GSE10072 | 58 | 49 |
| Lung squamous cell carcinoma | GSE33479 | 14 | 27 |
| Prostate adenocarcinoma | GSE6919 | 81 | 90 |
| Rectum adenocarcinoma | GSE20842 | 65 | 65 |
| Stomach adenocarcinoma | GSE2685 | 10 | 10 |
| Thyroid carcinoma | GSE33630 | 60 | 45 |
| Uterine Corpus Endometrial Carcinoma | GSE10072 | 53 | 11 |