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Table 1 Number of enzyme hits identified in six common cancer types using the combined data mining strategy.a

From: A combined approach to data mining of textual and structured data to identify cancer-related targets

Tumor type

Prostate

Breast

Lung

Colon

Ovary

Pancreas

PubMed: Abstracts about tissue types

89839 b

20393 8

644380

133660

147373

164890

LSGraph: Abstracts with entity-to-entity functional relations in different tumor-tissue types (function «filter»)

10857

23875

42962

15808

24758

28356

LSGraph: Abstracts remaining after filtering for keywords «extracellular» or «membrane»

1784

3873

8869

4815

4683

5305

LSGraph: All cited entities retrieved from filtered abstracts (function «Most cited entities»)

1791c

2500

4325

3030

3365

3059

LSGraph: Entities filtered additionally by Gene Ontology (function «Best GO») with the cellular component «extracellular region» or «membrane». Exported to IPA through UniProt accession numbers

749

941

1718

1186

1427

1244

IPA: Imported entities overlaid onto a global molecular network of IPA and enlarged by functionally related entities

917

1117

1954

1408

1675

1495

IPA: Entities within the network «cancer»d

375

456

598

481

515

450

   IPA-location: Extracellular space

135

170

212

176

184

170

   IPA-location: Plasma membrane

188

220

298

238

262

219

   IPA-location: Extracellular space and Plasma membrane

323

390

510

414

446

389

   IPA-family: Enzymes

12

14

20

17

16

16

   IPA-family: Peptidases

24

25

33

24

30

31

   IPA-family: Phosphatases

5

9

10

7

8

5

   Other IPA-familiese

282

342

447

366

392

337

  1. a Completed on 11/18/05; b in italic: number of abstracts; c in normal font: number of entities (genes and proteins); d numbers below correspond to subnetworks of entities designated by IPA-location or IPA-family and are all part of the IPA cancer network; e includes some enzymes, for example human sulfatase 1