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Table 3 The results of the significant drugs returned from querying the original CMap02 (https://portals. broadinstitute.org/cmap/) using the Tumor-vs-Normal 415-gene signature as input

From: An integrated meta-analysis approach to identifying medications with potential to alter breast cancer risk through connectivity mapping

Rank

Compound name

Mean

n

Enrichment

p

p*N (=929)

FDR

1

adiphenine

0.813

5

0.958

0

0

0

2

resveratrol

-0.752

9

-0.857

0

0

0

3

genistein

0.331

17

0.57

0

0

0

4

trichostatin A

-0.388

182

-0.264

0

0

0

5

aciclovir

0.65

6

0.853

0.00002

0.019

0.004

6

0175029-0000

-0.67

6

-0.819

0.0001

0.093

0.015

7

etiocholanolone

0.598

6

0.794

0.00018

0.167

0.024

8

guanabenz

0.63

5

0.841

0.00024

0.223

0.028

9

phenoxybenzamine

-0.816

4

-0.892

0.00026

0.242

0.027

10

nadolol

0.715

4

0.881

0.00028

0.260

0.026

11

podophyllotoxin

0.741

4

0.881

0.00028

0.260

0.024

12

pHA-00745360

0.504

8

0.682

0.00038

0.353

0.029

13

felbinac

0.711

4

0.869

0.0004

0.372

0.029

14

meticrane

-0.663

5

-0.822

0.00042

0.390

0.028

15

levonorgestrel

-0.638

6

-0.746

0.00052

0.483

0.032

16

prestwick-1103

0.691

4

0.857

0.00056

0.520

0.033

17

8-azaguanine

-0.765

4

-0.865

0.00062

0.576

0.034

18

dL-thiorphan

-0.821

2

-0.983

0.00068

0.632

0.035

19

tranexamic acid

0.616

5

0.802

0.0007

0.650

0.034

20

medrysone

-0.658

6

-0.726

0.00085

0.790

0.039

21

chlorpromazine

-0.494

19

-0.429

0.001

0.929

0.044