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Table 3 Cociter mining analysis of top 30 UCEC candidate driver genes identified by DriverRWH (STRINGv10)

From: DriverRWH: discovering cancer driver genes by random walk on a gene mutation hypergraph

Genes

Co-appeared count

Is_Specificity

Rank position

Endometrial

Cancer

Driver

MutsigCV

Dawnrank

Gravity

OncodriveFML

Subdyquency

MinNetRank

PTEN

380

2597

35

1

1

1

233

168

1

9

TP53

143

5942

55

1

2

2

1687

403

4

43

PIK3CA

39

576

13

1

3

34

2

673

2

73

CTNNB1

112

2014

29

1

5

5

10

22

11

42

KRAS

51

2538

95

1

4

93

1787

8653

14

218

DNAH8

0

1

1

0

3741

6

6012

NA

24

44

LRRK2

0

18

1

0

2433

13

NA

7114

45

110

OBSCN

0

4

0

0

1171

2641

5199

2055

NA

1184

PRDM10

0

1

2

0

7658

42

NA

992

479

36

RANBP2

0

12

1

0

148

164

40

1176

32

176

NOTCH1

15

486

23

1

61

18

7054

2680

94

45

TAF1

0

9

1

0

45

7954

5227

171

NA

8657

ARID1A

14

67

4

1

31

5994

4505

2

3

1260

ANK3

0

4

2

0

216

5214

5808

157

NA

1914

ATM

4

1222

5

1

241

54

1097

493

16

148

ALB

0

32

1

0

7085

25

7566

7390

397

37

EP300

2

145

2

0

18

151

79

17

54

430

DMD

0

19

3

0

180

69

2776

3448

NA

508

MTOR

63

1896

21

1

182

112

NA

1308

95

63

PRKDC

3

274

4

0

337

40

1217

41

28

130

CTCF

2

50

3

1

1214

29

24

19

NA

164

TTN

0

8

1

0

12

7696

3

1195

NA

4116

FGFR2

23

294

5

1

177

55

4875

1394

43

80

CAD

0

40

1

0

17

27

7174

1091

122

51

NSD1

0

16

2

1

1167

53

34

631

21

85

ASH1L

0

2

1

0

1279

4694

4260

3296

49

2436

TRRAP

0

26

1

0

81

299

8

96

30

303

POTEE

0

9

0

0

4902

155

NA

4873

171

146

GLI3

2

36

2

0

21

20

2263

3088

NA

104

KMT2D

0

18

1

1

23

NA

NA

3113

NA

8652