Skip to main content

Table 1 Bioinformatics-based data mining method for the identification of potential ovarian cancer biomarkers

From: Kallikrein family proteases KLK6 and KLK7 are potential early detection and diagnostic biomarkers for serous and papillary serous ovarian cancer subtypes

Potential biomarkers for ovarian cancer

ATP7B

CA125

CLEC3B

KLK6

TOP2A

ARID4B

CEA

ID2

IGFBP2

INHA

PDGFA

HE4

DUSP1

BSG

CLDN3

REEP5

MIF

IGF2BP1

LGALS3BP

CDC25C

BRCA2

CA72-4

IL13RA2

STAT3

CLDN4

CCT3

AFP

IQGAP1

MSLN

NME1

DNAJC15

BARD 1

PLK1

RAET1E

COPS5

CD47

Prolactin

RHOC

ST14

AKT2

KLK14

BCL2

VIL2

TITF1

CSF1

ETV4

MUC 1

RNASE2

AMH

ANGPT2

KLK9

IGFII

APOD

TFF1

EFNB1

MAGEA4

AMH

SYCP1

CDC25A

XIST

WFDC2

BAG1

CD247

SPINK1

KLK11

SCGB2A1

WT 1

TRIM25

CSF1R

KLK10

ERCC1

BAG3

CDC25B

PRSS8

KLK13

SIX5

OGP

P11

GADD45A

KLK15

KLK8

BAG 4

DAB2

CCNE1

MVP

ZNF217

CDX2

CYP2A

HLA-G

KLK5

RBL2

Osteopontn

HMGA1

CEACAM6

PARP1

EYA2

SMRP

PTK2

JUP

KLK7

SKP2

Maspin

HOXB7

ETS1

VEGFC

ELF1

Bcl-XL

TACC3

MLANA

SOD2

IGFBP5

MSN

BCHE

EPHA2

ASNS

MUC5AC

TNFRSF1B

   
  1. BioXM software was used to mine the Cancer Gene Index (CGI) to identify genes that are differentially regulated in OVC. This bioinformatics-guided approach identified 117 genes that are supported by experimental evidence in the published literature. Genes are categorized based on signaling pathways and 12 genes showing robust differential expression in the majority of the 21 OVC cell lines versus normal ovarian cell lines (all with p <0.05) are highlighted in bold text.