Table 6 The common and specific main pathways for BRCA and MBCA
From: EARN: an ensemble machine learning algorithm to predict driver genes in metastatic breast cancer
Number | Pathways | BRCA | MBCA | ||
|---|---|---|---|---|---|
Number of genes | Name of genes | Number of genes | Name of genes | ||
The specific main pathways for BRCA | |||||
 1 | Extracellular matrix organization | 8 | DCN, FN1, ICAM1, ITGA4, ITGAM, ITGAV, ITGB3, ITGB5 | 0 | None |
 2 | Immune System | 15 | FN1, GAB2, ICAM1, IL1RAPL1, IL1RN, IL2RB, ITGAM, ITGAV, ITGB5, JAK1, MSN, POU2F1, PTPN11, SMARCA4, SYK | 0 | None |
 3 | Hemostasis | 12 | EGF, FN1, GRB7, ITGA4, ITGAM, ITGAV, ITGB3, PIK3CG, PRKCZ, PTPN11, SERPINA1, SYK | 0 | None |
 4 | Developmental Biology | 9 | ACVR1B, GAB1, GAB2, GRB7, PTPN11, RELN, SMAD2, SMAD4, VLDLR | 0 | None |
 5 | Metabolism of RNA | 6 | CPSF1, CPSF3, PCF11, PRPF40A, SF3A1, SF3B1 | 0 | None |
The specific main pathways for MBCA | |||||
 6 | Chromatin organization | 0 | None | 7 | TBL1XR1, NCOR1, HDAC3, GPS2, ACTB, KDM6B, PRMT1 |
 7 | Circadian Clock | 0 | None | 2 | NCOR1, HDAC3 |
 8 | Organelle biogenesis and maintenance | 0 | None | 4 | TBL1XR1, SIRT4, NCOR1, HDAC3 |
 9 | Neuronal System | 0 | None | 7 | ABAT, KPNA2, PRKCG, CACNA1E, PLCB1, GRIN1, KRAS |
 10 | Metabolism | 0 | None | 5 | TBL1XR1, SIN3A, NCOR1, HDAC3, GPS2 |
The common main pathways for BRCA and MBCA | |||||
 11 | Signal Transduction | 25 | ACVR1B, EGF, ERBB3, FLT1, FN1, GAB1, GAB2, GRB7, ITGAV, ITGB3, JAK1, NOTCH4, NR4A1, PARD3, PPARG, PRKCZ, PTEN, PTPN11, RUNX1, SMAD2, SMAD4, SMURF1, SYK, TFDP1, TGFBR2 | 25 | ACTB, AR, BDNF, BUB1B, CBFB, COL4A3, FOXA1, KDR, KPNA2, KRAS, NCOR1, NOS3, PDGFD, PIK3R1, PKN2, PLCB1, PRKCD, PRKCG, PRMT1, PTPRJ, RUNX1, STAG1, STAT1, WAS, YWHAE |
 12 | Gene expression (Transcription) | 19 | ABL1, CBFB, CPSF1, CPSF3, MED23, NBN, NOTCH4, NR4A1, PCF11, POU2F1, PPARG, PTEN, PTPN11, RUNX1, SMAD2, SMAD4, SMARCA4, SMURF1, TFDP1 | 14 | AR, BDNF, CBFB, GPS2, HDAC3, KLF4, KRAS, NCOR1, PRMT1, RUNX1, SIN3A, STAT1, TBL1XR1, YWHAE |