Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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GATA2 as a potential prostate cancer metastasis-driving gene

ABSTRACT: Metastatic prostate cancer (PCa) is a terminal disease and establishment of novel therapeutic strategy specifically targeting metastasis is critically required for its management. This study was aimed at identifying metastasis-driving genes which could potentially be therapeutic targets for metastatic prostate cancer. Integrative analysis of gene expression profiles from a pair of metastatic and non-metastatic prostate cancer tissue xenografts was used to identify potential prostate cancer metastasis-driving genes. Among the candidate genes found, GATA2, a master regulator gene in the development of hematopoietic system, was particularly interesting since it is an important pioneer factor in the regulation of AR-target gene in prostate cancer. In consistent with our finding, elevated expression of the GATA2 gene in metastatic prostate cancers was found and its expression was significantly correlated with poor prognosis in prostate cancer patients. Furthermore, indication of the GATA2 gene maybe the metastasis-driving gene was evidenced in decreased of cell migration, tissue invasion and focal adhesion disassembly in GATA2-down-regulated LNCaP cells. Global gene expression analysis after silencing of the GATA2 gene revealed a significant changed in cell transcriptomes with ~ 2500 genes with > 2 fold mRNA level changed and FDR <0.05, indicates that GATA2 plays a critical role in cell reprogramming as pioneer factor in the development of prostate cancer metastasis. LNCaP human prostate cancer cells transiently knockdown with siRNA that specifically targeting GATA2 (siGATA2) or scrambled siRNA (sicontrol). RNAs were isolated from cells after 72 hours of incubation. Gene expression profiles of four biological replicates from each sample group were analyzed to identify differentially regulated downstream genes after knockdown of GATA2.

ORGANISM(S): Homo sapiens

SUBMITTER: Shawn Anderson

PROVIDER: E-GEOD-49342 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Prostate cancer is characterized by heterogeneity in the clinical course that often does not to correlate with morphologic features of the tumor. Metastasis reflects the most adverse outcome of prostate cancer, and to date there are no reliable morphologic features or serum biomarkers that can reliably predict which patients are at higher risk of developing metastatic disease. Understanding the differences in the biology of metastatic and organ confined primary tumors is essential for developing new prognostic markers and therapeutic targets. Using Affymetrix oligonucleotide arrays, we analyzed gene expression profiles of 24 androgen-ablation resistant metastatic samples obtained from 4 patients and a previously published dataset of 64 primary prostate tumor samples. Differential gene expression was analyzed after removing potentially uninformative stromal genes, addressing the differences in cellular content between primary and metastatic tumors. The metastatic samples are highly heterogeneous in expression; however, differential expression analysis shows that 415 genes are upregulated and 364 genes are downregulated at least 2 fold in every patient with metastasis. The expression profile of metastatic samples reveals changes in expression of a unique set of genes representing both the androgen ablation related pathways and other metastasis related gene networks such as cell adhesion, bone remodeling and cell cycle. The differentially expressed genes include metabolic enzymes, transcription factors such as Forkhead Box M1 (FoxM1) and cell adhesion molecules such as Osteopontin (SPP1). We hypothesize that these genes have a role in the biology of metastatic disease and that they represent potential therapeutic targets for prostate cancer. Experiment Overall Design: Using Affymetrix oligonucleotide arrays, we analyzed gene expression profiles of 24 androgen-ablation resistant metastatic samples obtained from 4 patients and a previously published dataset of 64 primary prostate tumor samples. Differential gene expression was analyzed after removing potentially uninformative stromal genes, addressing the differences in cellular content between primary and metastatic tumors.

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GATA2 as a potential prostate cancer metastasis-driving gene

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