Skip to main content

Table 4 The performance of the signature in each of the validation datasets

From: A robust qualitative transcriptional signature for the correct pathological diagnosis of gastric cancer

Platforms

Dataset

Number (sensitivity) of GC tissues

Number (specificity) of non-GC tissues

Affymetrix

GSE5081a

–

32 (100.00%)

GSE52138a

13 (92.31%)

–

GSE14210a

145 (97.24%)

–

GSE106656a

–

21 (90.48%)

GSE34619a

–

10 (100.00%)

GSE34942

56 (100.00%)

–

GSE22377

43 (100.00%)

–

GSE29272

134 (100.00%)

–

GSE19826

12 (100.00%)

–

GSE35809

70 (100.00%)

–

GSE51105

94 (100.00%)

–

GSE15459

200 (100.00%)

–

GSE62254

300 (99.00%)

–

Illumina

GSE13861

65 (100.00%)

–

GSE38024

48 (97.92%)

–

GSE26899

96 (100.00%)

–

GSE26253

432 (98.84%)

–

GSE84437

433 (98.15%)

–

GSE26942

202 (100.00%)

–

Agilent

GSE60662a

–

16 (93.75%)

RNA-seq

TCGA

375 (95.73%)

–

Our-data

21 (100.00%)

–

  1. aDenotes the samples collected by gastroscopic biopsy