Whole Genome Messenger RNA Profiling Identifies a Novel Signature to Predict Gastric Cancer Survival.

摘要: Gastric cancer (GC) is the fifth most common and third leading cause of death worldwide (1). It imperative to identify patients with GC at a high risk for poor prognosis, so that timely appropriate treatment strategy can be applied. Although considerable proportion are diagnosed an advanced stage, patient outcomes vary significantly even similar clinical features. The host heterogeneity in somatic or germline changes may have led different prognosis. Several studies examined both genetic epigenetic alterations as potential prognostic factors GC. Alternative patterns messenger RNA (mRNA) expression involved cycle regulation (2), cell adhesion (3), angiogenesis (4), tumor carcinogenesis (5) been reported play important role forecasting survival outcome One study gene profile 65 based on DNA microarray data 6 mRNAs associated prognosis (6). Another 3 21 (7). A recent 25 using 78 (8). These were limited by either small sample size lacking suitable validation datasets, restricting possible application practices. Therefore, it novel mRNA signatures robustly survival. The booming development high-throughput transcriptome sequencing technologies provided opportunities establish survival. In present study, we took advantage publicly available databases signatures, which predict prognosis. Discovery was conducted among 441 Cancer Genome Atlas (TCGA), information characteristics vital status. Gene ontology functional enrichment analysis pathway interrogate biological functions. independent external from Expression Omnibus (GEO) used validate these candidate mRNAs. score model then constructed validated testify predictive value integrated signature