Table 2 Networks modules obtained for each cancer type using the NCA algorithm.

From: Identification of a multi-cancer gene expression biomarker for cancer clinical outcomes using a network-based algorithm

Type

Modules

Module Size

Network-based Biomarker

Size

Top Genes *

BLCA

10,303

10

41

SMAD2, RUNX2, ABTB1, ST5, CEBPB, SETDB1, CEBPG

BRCA

485

9

42

JAK2, NFKBIA, TBP, RXRA, VAV1, HES5, NFKBIB

COADREAD

252

13

36

EEF1A1, FOXG1, GADD45G, MAPK9, MYOC, SMAD2

GBM

2,142

9

42

EFEMP2, MAPK3, TP53, TOP1, CCDC6, SREBF1, GJA1

HNSC

661

9

41

DUSP16, KRT8, RAF1, MED1, PPARG, YWHAB, FABP1

KIRC

2,841

4

41

AR, HGS, RUNX1, BCL3, BRCA1, STAT2, ITGA8

LAML

584

8

42

GUCY2C, PTPRA, SRC, STAT5B, WAS, KCNQ5, CALM1

LUAD

808

9

42

DOK1, FUT4, INSR, ITGB2, SHC1, PTPRC, KHDRBS1

LUSC

84

14

37

BRCA1, ETS2, HIF1A, JUN, LMO4, PIAS3, RBBP7

OV

421

9

42

TBP, LCK, ESR2, RB1, JUN, EEF1A1, BCL3

UCEC

1,570

10

41

CREBBP, GTF2B, CSNK2A1, CTNNB1, HOXD4, HIPK1, PTEN

MULTI

2

44

41

**ESR1, PRKACA, LRP1, JUN, SMAD2, SNAP25, ITNS1

  1. *The complete lists of genes and samples used are shown in Supplementary Table 1.
  2. **Highest connected genes. Genes in boldface type are repeated more than once in this list.
Back to article page