Gene expression profiles of prostate cancer reveal involvement of multiple molecular pathways in the metastatic process

被引:402
|
作者
Chandran, Uma R.
Ma, Changqing
Dhir, Rajiv
Bisceglia, Michelle
Lyons-Weiler, Maureen
Liang, Wenjing
Michalopoulos, George
Becich, Michael
Monzon, Federico A.
机构
[1] Univ Pittsburgh, Dept Biomed Informat, Pittsburgh, PA 15260 USA
[2] Univ Pittsburgh, Dept Pathol, Pittsburgh, PA 15261 USA
关键词
D O I
10.1186/1471-2407-7-64
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Prostate cancer is characterized by heterogeneity in the clinical course that often does not 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. Methods: 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. Results: The metastatic samples are highly heterogenous 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 remodelling 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). Conclusion: We hypothesize that these genes have a role in the biology of metastatic disease and that they represent potential therapeutic targets for prostate cancer.
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页数:21
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