Table 1 Key features of eight predominant gene co-expression modules extracted by WGCNA.

From: Epigenome erosion and SOX10 drive neural crest phenotypic mimicry in triple-negative breast cancer

Modules

Major functional ontologiesa

Signalling pathwaysa/intrinsic activatorsb

Size (no. genes)

Top ten hub genes (Highest kWithin; see Supplementary Table 5)

Tumour-centric

Blue

Mitotic instability

FOXM1, MYBL2

1239

TPX2, BUB1, CEP55, HJURP, NCAPH, KIF4A, KIF2C, CCNB2, NCAPG, FOXM1

Green

Multipotency (SOXE)

Wnt signalling

487

ROPN1, SFRP1, FOXC1, RGMA, GABRP, CHST3, MAML2, APCN, ROPN1B, SOX10

Brown

Primary cilium

ER, FOXA1

1008

FOXA1, MLPH, ESR1, AGR3, XBP1, THSD4, GATA3, CA12, PRR15, ZMYND10

Tumour-stromal

Magenta

ECM-1 (structural)

FBN1, RUNX2

186

COL5A2, COL1A2, COL3A1, COL5A1, COL6A3, FAP, THBS2, COL1A1, LUM, VCAN

Black

ECM2 (regulatory)

207

OLFML1, RECK, FSTL1, DCN, MSRB3, ECM2, CCDC80, TCF4, ZEB1, GLT8D2

Red

Fatty acid metabolism

PPARγ

274

DIA1R, PDE2A, LHFP, LDB2, ARHGEF15, S1PR1, SDPR, EBF1, CD34, ERG

Tan

Type-I IFN response

STAT1, IRF9

33

IFIT3, OAS2, CMPK2, IFI44L, IFI44, IFIT1, MX1, OASL, IFIT2, RSAD2

Stromal

Yellow

Adaptive immunity (TILs)

CD40L, CD40, IFNγ, IRF1

712

SASH3, IL2RG, CD53, PTPN7, CD48, CD2, CD3E, ARHGAP9, CD5, CD3D, SIT1, SH2D1A

  1. ECM extracellular matrix.
  2. aGene set enrichment analysis (GSEA) of all BRCA genes ranked according to module eigengene correlation (Supplementary Table 9).
  3. bIngenuity pathways analysis upstream regulator prediction (p ≤ 1.0E-07) based on kWithin values for module genes.