AIM: This study is aimed to elicit the possible correlation between breast and @entity694 from molecular prospective by analyzing and comparing pathway-based biomarkers. BACKGROUND: Breast and @entity694 are known to be frequent causes of morbidity and mortality in @entity1 and @entity1 around the world. There is some evidence that while the incident of @entity0 in young @entity1 is high, it is reported lower in the aged @entity1 . In fact, aged @entity1 are more prone to @entity14 than older @entity1 . . In addition, many studies showed that several biomarkers are common among these @entity5 . @entity1 AND METHODS: The genes were retrieved and compared from KEGG database and WikiPathway, and subsequently, protein-protein interaction (PPI) network was constructed and analyzed using Cytoscape v:3.2.1 software and related algorithms. RESULTS: More than forty common genes were identified among these @entity5 ; however, by pathways comparison, twenty genes are related to both breast and @entity694 . Centrality and cluster screening identified hub genes, including @entity2536 , @entity7379 , ( @entity1594 , @entity517 ), @entity1178 , @entity1835 , @entity876 . These seven genes are enriched in regulation of transforming growth factor beta receptor signaling pathway, positive regulation of @entity584 protein signal transduction, positive regulation of mitochondrial outer membrane permeabilization involved in apoptotic signaling pathway, and positive regulation of mitotic metaphase/anaphase transition respectively. CONCLUSION: As there are numerous genes frequent between @entity14 and @entity0 , there may be a common molecular origin for these @entity5 occurrences. It seems that @entity0 in females interferes with the rate of @entity14 incidence.

Protein-Protein Interaction Network could reveal the relationship between the breast and XXXX .

@entity1 :: ('9606', 'Species') :: ['women', 'PATIENTS', 'men'] @entity0 :: ('MESH:D001943', 'Disease') :: ['breast cancer'] @entity7379 :: ('4088', 'Gene') :: ['SMAD3'] @entity5 :: ('MESH:D009369', 'Disease') :: ['malignancies'] @entity2536 :: ('4087', 'Gene') :: ['SMAD2'] @entity517 :: ('4609', 'Gene') :: ['MYC'] @entity584 :: ('207', 'Gene') :: ['Rac'] @entity876 :: ('7157', 'Gene') :: ['TP53'] @entity1178 :: ('3725', 'Gene') :: ['JUN'] @entity14 :: ('MESH:D015179', 'Disease') :: ['colorectal cancer'] @entity1594 :: ('4089', 'Gene') :: ['SMAD4'] @entity694 :: ('MESH:D003110', 'Disease') :: ['colon cancer'] @entity1835 :: ('572', 'Gene') :: ['BAD']
@entity694 :: (MESH:D003110,Disease) :: ['colon cancer']
