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Table 2 List of the cancer datasets used for this study

From: Coexpression analysis of large cancer datasets provides insight into the cellular phenotypes of the tumour microenvironment

Database reference

Reference (PMID)

Tumor type(s)

Cases analysed

Affymetrix U133 Platform(s)

Graph size (nodes)

Graph size (edges)

GSE11318

Lenz et al. (18765795)

DLBCL

194

Plus 2.0

19,850

614,273

GSE1456

Pawitan et al. (16280042)

Breast carcinoma

134

A & B

19,246

559,761

GSE9891

Tothill et al. (18698038)

Ovarian (epithelial) carcinoma

265

Plus 2.0

19,415

268,471

GSE3218

Korkola et al. (16424014)

Testicular germ cell tumours

86

A & B

18,934

954,082

GSE13294

Jorissen et al. (19088021)

Colorectal carcinoma

150

Plus 2.0

22,687

725,467

caArray/rembr-00037

REMBRANT – Repository for Molecular Brain Neoplasia Data

Primary CNS tumours

253

Plus 2.0

23,015

623,591

GSE7553

Riker et al. (18442402)

Skin tumours

77

A & B

19,623

600,143

GSE17920

Steidl et al. (20220182)

Hodgkin lymphoma

131

Plus 2.0

13,846

521,593

GSE15459

Ooi et al. (19798449)

Gastric cancer

200

Plus 2.0

15,747

719,884

  1. The datasets with a white background are the six used for the primary analysis and the remaining three (bold) the datasets used to confirm the robustness of the core cancer expression signatures.