Research Article

Robust Microarray Meta-Analysis Identifies Differentially Expressed Genes for Clinical Prediction

Table 2

Differentially expressed genes identified from rank average meta-analysis of multiple microarray datasets.

Breast cancerRenal cancerPancreatic cancer
Gene
symbol
Weighted
average rank
Top 20 in # of datasetsGene
symbol
Weighted
average rank
Top 20 in # of datasetsGene
symbol
Weighted average rankTop 20 in # of datasets

ESR10.206LOX13.654S100P31.422
NAT133.993COL5A216.863LAMC251.442
DNALI148.461ADFP19.084PHLDA2201.931
SCUBE269.271SCNN1A19.252S100A2233.070
TFF176.741LOXL221.373MSLN234.391
MYB82.170ELTD127.174WFDC2236.001
CYP2B7P186.931PPARGC1A30.731ITGB6238.130
PDZK198.810IFITM131.192HK2239.872
PADI2114.440RALGPS137.172R88990*244.340
DNAJC12123.830VWF37.852ANO1252.571
TSPAN1126.870CD7041.650MXRA5261.280
CDH3127.461ARHGDIB42.601PLEK2264.090
XBP1134.700P4HA148.912CDC2279.792
KRT18136.350BST250.562VCAN285.590
EEF1A2138.250F2R52.221FERMT1286.921
SLC16A6140.731SPARC52.861MCOLN3309.320
ACADSB142.551LDB256.292TNFRSF21315.681
SRD5A1159.991GJA158.540KYNU324.780
CHAD164.190PLAG160.291TACC3333.270
P4HTM165.081DSG268.031TMC5336.720

*Gene symbol not available, using accession number instead.