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Table 2 Correlation of the expression of the 35 signature genes with progression-free survival using univariate Cox model

From: A 35-gene signature discriminates between rapidly- and slowly-progressing glioblastoma multiforme and predicts survival in known subtypes of the cancer

Gene

Contained pathway

Coefficient (β)

HR

p

ABL1

Cell cycle

-0.1215

0.886

0.650

 

ErbB pathway

   

CCNA1

Cell cycle

-0.0899

0.914

0.520

CCND1

Cell cycle

0.0746

1.077

0.620

CCNE1

Cell cycle

-0.4975

0.608

0.032

CDC6

Cell cycle

0.2324

1.262

0.410

CDK2

Cell cycle

-0.5268

0.591

0.150

CDKN1C

Cell cycle

-0.0285

0.972

0.900

CDKN2A

Cell cycle

0.1415

1.152

0.170

 

p53 pathway

   

DKK1

WNT pathway

0.1759

1.192

0.040

FZD3

WNT pathway

0.2434

1.276

0.230

FZD7

WNT pathway

0.4934

1.638

0.022

GADD45G

MAPK pathway

0.2850

1.330

0.200

GHR

JAK-STAT pathway

-0.2292

0.795

0.180

GSTT1

Glutathione metabolism

0.0485

1.050

0.590

HSPA1B

JAK-STAT pathway

-0.1244

0.883

0.340

ID4

TGF- β pathway

-0.1680

0.845

0.350

IGFBP3

p53 pathway

0.1103

1.117

0.340

INHBB

TGF- β pathway

-0.1187

0.888

0.390

IRS2

Insulin signaling

-0.0665

0.936

0.790

LIFR

ErbB pathway

-0.1009

0.904

0.670

PDGFRA

MAPK pathway

0.0262

1.027

0.760

PIK3CA

Phosphatidylinositol signaling

0.1479

1.159

0.420

PLA2G5

Phosphatidylinositol signaling

-0.0176

0.983

0.900

POLE3

Nucleotide excision repair

0.0615

1.063

0.840

PPARGC1A

MAPK pathway

0.4121

1.510

0.045

PRKAR2B

Insulin signaling

0.0641

1.066

0.660

PYGB

Insulin signaling

-0.4071

0.666

0.160

SFRP1

WNT pathway

-0.1216

0.886

0.270

SFRP4

WNT pathway

0.1461

1.157

0.270

SH2B2

Insulin signaling

-0.0199

0.980

0.950

STAG3L4

JAK-STAT pathway

-0.0001

1.000

1.000

STMN1

MAPK pathway

0.0837

1.087

0.750

THBS2

Focal adhesion

-0.1319

0.876

0.330

THBS3

Focal adhesion

-0.3916

0.767

0.160

VEGFA

VEGFA signaling

-0.0268

0.974

0.810