Medical Science Monitor · 2018 · 60 citations · 32 references
Life SciencesBioinformaticsOncologyGene ExpressionGene Expression AnalysisMolecular OncologyCancer BiomarkersCancer GenomicsCancer Survival AnalysisExpression Signature DiscoveryGene Set Enrichment AnalysisMolecular Tumor ProfilingCancer BioinformaticsEnrichment AnalysisGene Ontology AnalysisMolecular Prognostic MarkersPrognostic Expression SignaturesPrognostic Factors AnalysisPrognostic Gene Expression ProfilingPrognostic Gene Signatures
BACKGROUND This study investigated the diagnostic and prognostic values of kinesin superfamily proteins (KIFs) in breast cancer (BC) patients. MATERIAL AND METHODS All data were obtained from the Cancer Genome Atlas. DESeq was run to test for differentially expressed KIF genes. Patients were divided into high- and low-expression groups according to the median expression values of each KIF genes. Survival data were calculated using the Cox proportional hazard model. Comprehensive survival analysis was performed to evaluate the prognostic value of the prognostic signature. Gene set enrichment analysis (GSEA) was conducted to identify associated gene ontology and KEGG pathways. RESULTS Bioinformatics analysis showed that all KIF genes were significantly enriched during DNA replication and the cell cycle, and co-expressed with each other. Thirteen KIF genes were differentially expressed in cancer and adjacent tissues, and high levels of KIF15, KIF20A, KIF23, KIF2C and KIF4A genes were significantly correlated with poor overall survival (OS). GSEA showed that BC patients with high expression of KIF15, KIF20A, KIF23, KIF2C and KIF4A were enriched in the cell cycle process, P53 regulation pathway and mismatch repair. Combinations of low expression of KIF15, KIF20A, KIF23, KIF2C and KIF4A were more highly correlated with favorable OS. Nomograms showed that the KIF4A risk score provided the maximum number of risk points (range 0-100), whereas other genes made a lower contribution. CONCLUSIONS We conclude that 13 KIF genes are differentially expressed in BC tumor tissues, and KIF15, KIF20A, KIF23, KIF2C and KIF4A are associated with prognostic factors in BC.
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Global cancer statistics, 2012
Lindsey A. Torre, Freddie Bray, Rebecca L. Siegel et al. · CA A Cancer Journal for Clinicians · 2015 · 27.4K citations · Full text
The Molecular Signatures Database Hallmark Gene Set Collection
Arthur Liberzon, Chet Birger, Helga Thorvaldsdóttir et al. · Cell Systems · 2015 · 14.5K citations · Full text