Cancer Cell International · 2018 · 25 citations · 39 references
MedicineMolecular BiologyOncologyEpigeneticsEpigenomicsMolecular OncologyCancer BiomarkersCancer EpigeneticsCancer EpigenomicsCancer GenomicsEpigenetic Alterations In CancerMolecular Tumor ProfilingCancer Epigenetic NetworksCancer Genomic Biomarker DiscoveryFunctional Gene AnalysisPrognostic Gene SignaturesPrognostic PredictionPrognostic Signature DevelopmentRelapse-free SurvivalSurvival Signature Modeling
BACKGROUND: Lung adenocarcinoma (LUAD) is the main subtype of non-small cell lung cancer with a low survival prognosis. We aimed to generate a prognostic model for the postoperative recurrence of LUAD. METHODS: The methylated DNA data of LUAD patients were downloaded from the Cancer Genome Atlas (TCGA). The differentially methylated genes were identified and protein-protein interacting network was constructed, with which prognostic signature of this cancer was generated. Survival and functional pathways analysis w used to evaluate the clustering ability of the prognostic signature. RESULTS: We identified 151 differentially methylated genes related to relapse-free survival of patients with LUAD. Nine hub genes were identified in PPI network, with which 4 gene pair signature was selected as prognostic signature. The potential functions of 6 genes (JDP2, SERPINA5, PLG, SEMG2, RFX5, and POLR3B) in the 4-gene pair signature were enriched in intracellular protein synthesis and transportation. CONCLUSION: The four gene pair signature can predict the prognosis of patients with stage I LUAD. Our study provides a reference for patients with postoperative adjuvant therapy.
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