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Table 7 The plausible driver genes involved in the proposed main pathways related to MBCA

From: EARN: an ensemble machine learning algorithm to predict driver genes in metastatic breast cancer

PPDMB KGCC KGBC CGMC CGMB Specific main pathways
Chromatin organization Circadian Clock Organelle biogenesis and maintenance Neuronal System Metabolism
NCOR1 1 1 #N/A #N/A  
HDAC3a #N/A #N/A #N/A #N/A  
TBL1XR1 1 1 2 #N/A    
SIRT4 1 #N/A #N/A #N/A      
ABATa #N/A #N/A #N/A #N/A      
KRAS 1 1 20 #N/A      
GRIN1a #N/A #N/A #N/A #N/A      
PLCB1a #N/A #N/A #N/A #N/A      
CACNA1E 1 #N/A #N/A #N/A      
PRKCG 1 #N/A 1 #N/A      
KPNA2a #N/A #N/A #N/A #N/A      
GPS2 1 1 #N/A #N/A    
SIN3A 1 #N/A #N/A #N/A     
ACTB 1 #N/A 1 #N/A     
KDM6B #N/A #N/A 1 #N/A     
PRMT1 #N/A #N/A 2 #N/A     
  1. PPDMB, proposed plausible drivers related to metastatic breast cancer; KGCC, known genes related to cancers that are confirmed in OMIM, CGC, and NCG; KGBC, known genes related to breast cancer that are confirmed in OMIM, CGC, and NCG; CGMC, confirmed genes related to different metastatic cancers in HCMDB; CGMB, confirmed genes related to metastatic breast cancer in HCMDB
  2. aFive new genes that have not been already introduced in the public databases