Author/Authors :
Chen Hong نويسنده , Yue Xin نويسنده , Zheng Jin نويسنده Breast Surgery, Lishui Central Hospital, Lishui 323000,
Zhejiang Province, China , Pan Ying نويسنده Breast Surgery, Lishui Central Hospital, Lishui 323000,
Zhejiang Province, China
Abstract :
Background Breast cancer (BC) is one of the leading causes of
cancer-related mortality among females worldwide. There is no effective
treatment for it, since the molecular mechanism underlying BC still
remains unclear. Objectives The current study aimed at identifying the
hub pathways for BC based on pathway crosstalk networks (PCNs), and
revealing the molecular mechanisms underlying BC. Methods The current
case-control bioinformatics analysis used the already published
microarray data of BC. The current foundation-application study was
performed in Moffitt cancer center, USA, in 2010. To begin with, the
gene expression profile of BC (access number E-GEOD-10780), which
included 185 samples (143 normal controls and 42 BC samples), was
recruited from ArrayExpress database. Then, data pretreatment method was
used. Next, the original pathways (OPs), original protein-protein
interaction (PPI) network (OPPIN), and attract OPs (AOPs) were obtained.
Then, the construction of background PCN (BPCN) and cancer PCN (CPCN)
was performed, following by the degree analysis of pathways in the BPCN
and CPCN to further identify hub pathways. Moreover, the cross-talks for
hub pathways were extracted and termed as hub cross-talks. Results There
were 300 nodes and 42,293 edges in BPCN, and 283 nodes and 25,750 edges
in CPCN. According to the degree results, it was found that the degree
distribution of pathways for BPCN was concentrated, while that of CPCN
was dispersed. Moreover, the degree of original pathways in BPCN was
greater than that of the majority of AOPs in CPCN. Based on the
threshold of RankProd < 0.01 and false discovery rate of AOP
< 0.01, thirteen significant pathways were detected. Using the
threshold of impact factor > 240, a total of 4 hub pathways
including glycolysis/gluconeogenesis, Alzheimer disease, carbon
metabolism, and hepatitis C virus (HCV) infection were identified.
Conclusions Hub pathways such as glycolysis/gluconeogenesis and
Alzheimer disease might be the potential signatures for BC therapy.