… heterogeneity of gastric cancer. Unprecedented … gene expression profiling signatures in
gastric cancer. We summarized recent integrated genomic characterization of gastric cancer …

… diagnostic biomarkers for gastric cancer, which is considered the leading cause of cancer-related …
The morpho-molecular classification of gastric cancer has opened novel avenues …

… Genetics of gastric cancer … There is conflicting evidence about the ability of the histopathological
phenotype to predict patient prognosis or response to therapy. This conflicting evidence …

… In conclusion, we aimed at developing a model to predict the prognosis of gastric cancer.
The predictive model could not only effectively predict the risk of GC but also be beneficial to …

… gene expression data from TCGA project, uncovered gene … prediction models for stratification
of patients with gastric … subtypes of gastric cancer and developed prediction models that …

… Analysis of gene expression patterns in gastric cancer (GC) can help to identify a comprehensive
panel of gene biomarkers for predicting … We first identified 276 genes that were robustly …

… gastric cancer and predicting their outcome, but we also noticed that the molecular characteristics
could add further predictive … of hundreds of genes in gastric cancer with the application …

… Based on GCPAN, we characterized gene PAVs of human gastric cancer. Genes ACOT1,
GSTM1, … In addition, we have predicted a group of genes. Among them, GC0643 is a tumor …

… model of gastric cancer by using … after gastric cancer surgery has not been established. We
aim to develop practical biomarker-based risk score that can predict relapse of gastric cancer …

… prediction effect of single gene biomarkers is not specific enough. Increasing evidence suggests
that gene … to develop a novel gene signature to improve the prognosis prediction of GC. …