BMC Genomics · 2016 · 47 citations · 16 references
MedicineCancer BiologyOncologyCancer GeneticsMolecular OncologyTumor ProgressionCancer Cell SignalingCancer GenomicsCancer ProgressionCancer TranscriptomicsMolecular Tumor ProfilingSignal Transduction In CancerCancer Signaling PathwaysDifferential Transcript ExpressionIntegrin Signaling In CancerIntracellular Signaling PathwaysMutational GenomicsMutational Signature AnalysisPrimary Tumor CharacterizationPrognostic Variables
BACKGROUND: Head and neck cancer is morbid with a poor prognosis that has not significantly improved in the past several decades. The purpose of this study was to identify biological pathways underlying progressive head and neck cancer to inform prognostic and adjuvant strategies. We identified 235 head and neck cancer patients in The Cancer Genome Atlas (TCGA) with sufficient clinical annotation regarding therapeutic treatment and disease progression to identify progressors and non-progressors. We compared primary tumor gene expression and mutational status between these two groups. RESULTS: 105 genes were differentially expressed between progressors and nonprogressors (FDR < 0.05). Pathway analyses revealed deregulation (FDR < 0.05) of multiple pathways related to integrin signaling as well as IL-10 signaling. A number of genes were uniquely mutated in the progressor cohort including increased frequency of truncating mutations in CTCF (P = 0.007). An 11-gene signature derived from a combination of unique mutations and differential expression was identified (PAGE4, SMTNL1, VTN, CA5A, C1orf43, KRTAP19-1, LEP, HRH4, PAGE5, SEZ6L, CREB3). This signature was associated with decreased overall survival (Logrank Test; P = 0.03443). Cox modeling of both key clinical features and the signature was significant (P = 0.032) with the greatest prognostic improvement seen in the model based on nodal extracapsular spread and alcohol use alone (P = 0.004). CONCLUSIONS: Molecular analyses of head and neck cancer tumors that progressed despite treatment, identified IL-10 and integrin pathways to be strongly associated with cancer progression. In addition, we identified an 11-gene signature with implications for patient prognostication. Mutational analysis highlighted a potential role for CTCF, a crucial regulator of long-range chromatin interactions, in head and neck cancer progression.
16
R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks
Paul Shannon, Andrew Markiel, Owen Ozier et al. · Genome Research · 2003 · 54.3K citations · Full text
Mutational heterogeneity in cancer and the search for new cancer-associated genes
Michael S. Lawrence, Petar Stojanov, Paz Polak et al. · Nature · 2013 · 5.7K citations · Full text