Transcriptomics

Dataset Information

98

HNF4α is a therapeutic target that links AMPK to WNT signaling in early-stage gastric cancer


ABSTRACT: Background Worldwide, gastric cancer is the fourth most common malignancy and the most common cancer in East Asia. Development of targeted therapies for this disease has focused on a few known oncogenes but has had limited effects. Objective To determine oncogenic mechanisms and novel therapeutic targets specific for gastric cancer by identifying commonly dys-regulated genes from the tumors of both Asian-Pacific and Caucasian patients. Design We generated transcriptomic profiles of 22 Caucasian gastric cancer tumors and their matched non-cancerous samples, and performed an integrative analysis across different gastric cancer gene expression datasets. We examined the inhibition of commonly overexpressed oncogenes and their constituent signaling pathways by RNAi and/or pharmacologic inhibition. Results We found that HNF4α upregulation was a key signaling event in gastric tumors from both Caucasian and Asian patients, and HNF4α antagonism was antineoplastic. Perturbation experiments in GC tumor cell lines and xenograft models further demonstrated that HNF4α is downregulated by AMPKα signaling and the AMPK agonist metformin; blockade of HNF4α activity resulted in cyclin downregulation, cell cycle arrest, and tumor growth inhibition. HNF4α also regulated WNT signaling through its target gene WNT5A, a potential prognostic marker of diffuse type gastric tumors. Conclusions Our results indicate that HNF4α is a targetable oncoprotein in gastric cancer, is regulated by AMPK signaling through AMPKα, and resides upstream of WNT signaling. HNF4α may regulate “metabolic switch” characteristic of a general malignant phenotype and its target WNT5A has potential prognostic values. The AMPKα-HNF4α-WNT5A signaling cascade represents a potentially targetable pathway for drug development. Integrative analysis of Caucasian and Asian-Pacific gastric tumor expression datasets (including newly generated transcriptomic profiling of 22 tumors in this study) revealed a relatively small common sets of highly overexpressed genes.

ORGANISM(S): Homo sapiens  

SUBMITTER: Hae R Jung  Kyung-Tae Kim   Youme Gim   Young-Woo Kim   Han Liang   Xiuping Liu   Garth Powis   Iksoo Huh   Dongwan Hong   Dongfeng Tan   Yon H Kim   Hae R Chang   Chang-Gong Liu   Jyeong-Cherl Kook   Robert Lemos   Taesung Park   Hui Yao   Seungyoon Nam   Hye H Seo   Hee S Park    

PROVIDER: E-GEOD-63288 | ArrayExpress| 2014-11-28

SECONDARY ACCESSION(S): GSE63288SRP049809PRJNA267201

REPOSITORIES: GEO, ArrayExpress, ENA

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