A Network of 17 Microtubule-Related Genes Highlights Functional Deregulations in Breast Cancer.
Sylvie Rodrigues-FerreiraMorgane MorinGwenn GuichaouaHadia MoindjieMaria M HaykalOlivier CollierVéronique StovenClara NahmiasPublished in: Cancers (2023)
A wide panel of microtubule-associated proteins and kinases is involved in coordinated regulation of the microtubule cytoskeleton and may thus represent valuable molecular markers contributing to major cellular pathways deregulated in cancer. We previously identified a panel of 17 microtubule-related (MT-Rel) genes that are differentially expressed in breast tumors showing resistance to taxane-based chemotherapy. In the present study, we evaluated the expression, prognostic value and functional impact of these genes in breast cancer. We show that 14 MT-Rel genes ( KIF4A , ASPM , KIF20A , KIF14 , TPX2 , KIF18B , KIFC1 , AURKB , KIF2C , GTSE1 , KIF15 , KIF11 , RACGAP1 , STMN1 ) are up-regulated in breast tumors compared with adjacent normal tissue. Six of them ( KIF4A , ASPM , KIF20A , KIF14 , TPX2 , KIF18B ) are overexpressed by more than 10-fold in tumor samples and four of them ( KIF11 , AURKB , TPX2 and KIFC1 ) are essential for cell survival. Overexpression of all 14 genes, and underexpression of 3 other MT-Rel genes ( MAST4 , MAPT and MTUS1 ) are associated with poor breast cancer patient survival. A Systems Biology approach highlighted three major functional networks connecting the 17 MT-Rel genes and their partners, which are centered on spindle assembly, chromosome segregation and cytokinesis. Our studies identified mitotic Aurora kinases and their substrates as major targets for therapeutic approaches against breast cancer.
Keyphrases
- genome wide
- genome wide identification
- bioinformatics analysis
- poor prognosis
- transcription factor
- cell proliferation
- squamous cell carcinoma
- gene expression
- long non coding rna
- young adults
- case report
- genome wide analysis
- human immunodeficiency virus
- hiv infected
- antiretroviral therapy
- hepatitis c virus
- lymph node metastasis
- rectal cancer
- network analysis