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. 2016 Jun 20;32(18):2809–2816. doi: 10.1093/bioinformatics/btw334

Table 1.

Analyzed datasets

ID Total Cases Controls Paired Description
BLCA 271 252 19 19 Bladder Urothelial Carcinoma
BRCA 807 720 87 86 Breast invasive carcinoma
CESC 218 215 3 3 Cervical squamous cell carcinoma
COAD 243 235 8 0 Colon adenocarcinoma
ESCA 113 102 11 11 Esophageal carcinoma
HNSC 519 475 44 43 Head and Neck squamous cell carcinoma
KICH 91 66 25 25 Kidney Chromophobe
KIRC 311 240 71 68 Kidney renal clear cell carcinoma
KIRP 245 211 34 34 Kidney renal papillary cell carcinoma
LIHC 283 233 50 49 Liver hepatocellular carcinoma
LUAD 474 428 46 39 Lung adenocarcinoma
LUSC 376 331 45 45 Lung squamous cell carcinoma
PAAD 100 96 4 4 Pancreatic adenocarcinoma
PCPG 182 179 3 3 Pheochromocytoma and Paraganglioma
PRAD 117 100 17 17 Prostate adenocarcinoma
READ 93 90 3 0 Rectum adenocarcinoma
SKCM 75 74 1 0 Skin Cutaneous Melanoma
STAD 345 306 39 39 Stomach adenocarcinoma
THCA 558 499 59 59 Thyroid carcinoma
UCEC 418 386 32 19 Uterine Corpus Endometrial Carcinoma

Columns of the table display: TCGA disease ID, the total number of samples in the analysis, the number of tumoral samples, the number of control samples (solid normal tissue), the number of paired samples available in the dataset and the cancer type.