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A gene expression signature associated with "K-Ras addiction" reveals regulators of EMT and tumor cell survival.

ABSTRACT: K-ras mutations occur frequently in epithelial cancers. Using short hairpin RNAs to deplete K-Ras in lung and pancreatic cancer cell lines harboring K-ras mutations, two classes were identified-lines that do or do not require K-Ras to maintain viability. Comparing these two classes of cancer cells revealed a gene expression signature in K-Ras-dependent cells, associated with a well-differentiated epithelial phenotype, which was also seen in primary tumors. Several of these genes encode pharmacologically tractable proteins, such as Syk and Ron kinases and integrin beta6, depletion of which induces epithelial-mesenchymal transformation (EMT) and apoptosis specifically in K-Ras-dependent cells. These findings indicate that epithelial differentiation and tumor cell viability are associated, and that EMT regulators in "K-Ras-addicted" cancers represent candidate therapeutic targets.

SUBMITTER: Singh A

PROVIDER: S-EPMC2743093 | biostudies-literature | 2009 Jun

REPOSITORIES: biostudies-literature

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A gene expression signature associated with "K-Ras addiction" reveals regulators of EMT and tumor cell survival.

Singh Anurag A Greninger Patricia P Rhodes Daniel D Koopman Louise L Violette Sheila S Bardeesy Nabeel N Settleman Jeff J

Cancer cell 20090601 6

K-ras mutations occur frequently in epithelial cancers. Using short hairpin RNAs to deplete K-Ras in lung and pancreatic cancer cell lines harboring K-ras mutations, two classes were identified-lines that do or do not require K-Ras to maintain viability. Comparing these two classes of cancer cells revealed a gene expression signature in K-Ras-dependent cells, associated with a well-differentiated epithelial phenotype, which was also seen in primary tumors. Several of these genes encode pharmacol ...[more]

PMID: 19477428

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Project description:BackgroundIt has been widely reported that epithelial-mesenchymal transition (EMT) is associated with malignant progression in gastric cancer (GC). Integration of the molecules related to EMT for predicting overall survival (OS) is meaningful for understanding the role of EMT in GC. Here, we aimed to establish an EMT-related gene signature in GC.MethodsTranscriptional profiles and clinical data of GC were downloaded from The Cancer Genome Atlas (TCGA). We constructed EMT-related gene signature for predicting OS by using univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression analyses. Time-dependent receiver operating characteristic (ROC), Kaplan-Meier analysis were performed to assess its predictive value. A nomogram combining the prognostic signature with clinical characteristics for OS prediction was established. And its predictive power was estimated by concordance index (C-index), time-dependent ROC curve, calibration curve and decision curve analysis (DCA). GSE62254 dataset from Gene Expression Omnibus (GEO) was used for external validation. Quantitative real-time PCR (qRT-PCR) was used to detected the mRNA expression of the five EMT-related genes in human normal gastric mucosal and GC cell lines. To further understand the potential mechanisms of the signature, Gene Set Enrichment Analysis (GSEA), pathway enrichment analysis, predictions of transcription factors (TFs)/miRNAs were performed.ResultsA novel EMT-related gene signature (including ITGAV, DAB2, SERPINE1, MATN3, PLOD2) was constructed for OS prediction of GC. With external validation, ROC curves indicated the signature's good performance. Patients stratified into high- and low-risk groups based on the signature yielded significantly different prognosis. Univariate and multivariate Cox regression suggested that the signature was an independent prognostic variable. Nomogram for prognostication including the signature presented better predictive accuracy and clinical usefulness than the similar model without risk score to some extent with external validation. The qRT-PCR assays suggested that high expression of the five EMT-related genes could be found in human GC cell lines compared with normal gastric mucosal cell line. GSEA and pathway enrichment analysis revealed that focal adhesion and ECM-receptor interaction might be the two important pathways to the signature.ConclusionOur EMT-related gene signature may have practical application as an independent prognostic factor in GC.

Dataset Information

A gene expression signature associated with "K-Ras addiction" reveals regulators of EMT and tumor cell survival.

Publications

A gene expression signature associated with "K-Ras addiction" reveals regulators of EMT and tumor cell survival.

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