Literature DB >> 11807955

Gene expression analysis of prostate cancers.

Jian-Hua Luo1, Yan Ping Yu, Kathleen Cieply, Fan Lin, Petrina Deflavia, Rajiv Dhir, Sydney Finkelstein, George Michalopoulos, Michael Becich.   

Abstract

Prostate cancer is a biologically heterogeneous disease with considerable variation in clinical aggressiveness. The behavior of prostate cancer can be considered a direct or indirect result of aberrant alterations of gene expression in prostate epithelial cells. Identification of the patterns of gene-expression alterations that are related to the aggressiveness of prostate cancers will greatly assist the development of tools for early detection of prostate cancers with poor clinical outcome and identification of targets for future therapeutic intervention. To detect the patterns of gene-expression alterations of prostate cancers, we performed a comprehensive gene-expression analysis on 30 prostate tissues of various levels of invasiveness (ranging from those confined to the organ to distant metastases) and Gleason grades (combined scores 4-9), using the Affymetrix chip set Hu35k (A-D) and U95a. Following three sequential selection screens, we identified 84 largely novel genes and expressed sequence tag (EST) sequences whose expression levels were altered significantly in prostate cancer samples compared with control normal tissues. In addition, the expression levels of a group of 12 genes and EST sequences was found to be altered significantly in aggressive type of prostate cancers but not in organ-confined prostate cancers. Cluster analysis using the 84-gene list showed that the highly aggressive prostate cancers contained gene-expression patterns that were distinct from organ-confined prostate cancers. Copyright 2002 Wiley-Liss, Inc.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 11807955     DOI: 10.1002/mc.10018

Source DB:  PubMed          Journal:  Mol Carcinog        ISSN: 0899-1987            Impact factor:   4.784


  93 in total

1.  Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression.

Authors:  Daniel R Rhodes; Jianjun Yu; K Shanker; Nandan Deshpande; Radhika Varambally; Debashis Ghosh; Terrence Barrette; Akhilesh Pandey; Arul M Chinnaiyan
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-07       Impact factor: 11.205

2.  ONCOMINE: a cancer microarray database and integrated data-mining platform.

Authors:  Daniel R Rhodes; Jianjun Yu; K Shanker; Nandan Deshpande; Radhika Varambally; Debashis Ghosh; Terrence Barrette; Akhilesh Pandey; Arul M Chinnaiyan
Journal:  Neoplasia       Date:  2004 Jan-Feb       Impact factor: 5.715

3.  CSR1 suppresses tumor growth and metastasis of prostate cancer.

Authors:  Guoying Yu; George C Tseng; Yan Ping Yu; Tim Gavel; Joel Nelson; Alan Wells; George Michalopoulos; Demetrius Kokkinakis; Jian-Hua Luo
Journal:  Am J Pathol       Date:  2006-02       Impact factor: 4.307

4.  CSR1 induces cell death through inactivation of CPSF3.

Authors:  Z-H Zhu; Y P Yu; Y-K Shi; J B Nelson; J-H Luo
Journal:  Oncogene       Date:  2008-09-22       Impact factor: 9.867

5.  Detection of early prostate cancer using a hepsin-targeted imaging agent.

Authors:  Kimberly A Kelly; Sunita R Setlur; Robert Ross; Rajesh Anbazhagan; Peter Waterman; Mark A Rubin; Ralph Weissleder
Journal:  Cancer Res       Date:  2008-04-01       Impact factor: 12.701

6.  Molecular alterations in primary prostate cancer after androgen ablation therapy.

Authors:  Carolyn J M Best; John W Gillespie; Yajun Yi; Gadisetti V R Chandramouli; Mark A Perlmutter; Yvonne Gathright; Heidi S Erickson; Lauren Georgevich; Michael A Tangrea; Paul H Duray; Sergio González; Alfredo Velasco; W Marston Linehan; Robert J Matusik; Douglas K Price; William D Figg; Michael R Emmert-Buck; Rodrigo F Chuaqui
Journal:  Clin Cancer Res       Date:  2005-10-01       Impact factor: 12.531

7.  A novel role of myosin VI in human prostate cancer.

Authors:  Thomas A Dunn; Shenglin Chen; Dennis A Faith; Jessica L Hicks; Elizabeth A Platz; Yidong Chen; Charles M Ewing; Jurga Sauvageot; William B Isaacs; Angelo M De Marzo; Jun Luo
Journal:  Am J Pathol       Date:  2006-11       Impact factor: 4.307

8.  Genome-wide methylation analysis of prostate tissues reveals global methylation patterns of prostate cancer.

Authors:  Jian-Hua Luo; Ying Ding; Rui Chen; George Michalopoulos; Joel Nelson; George Tseng; Yan P Yu
Journal:  Am J Pathol       Date:  2013-04-10       Impact factor: 4.307

9.  Quantitative proteomic profiling of prostate cancer reveals a role for miR-128 in prostate cancer.

Authors:  Amjad P Khan; Laila M Poisson; Vadiraja B Bhat; Damian Fermin; Rong Zhao; Shanker Kalyana-Sundaram; George Michailidis; Alexey I Nesvizhskii; Gilbert S Omenn; Arul M Chinnaiyan; Arun Sreekumar
Journal:  Mol Cell Proteomics       Date:  2009-11-09       Impact factor: 5.911

10.  Analysis of gene expression in prostate cancer epithelial and interstitial stromal cells using laser capture microdissection.

Authors:  Jennifer L Gregg; Kathleen E Brown; Eric M Mintz; Helen Piontkivska; Gail C Fraizer
Journal:  BMC Cancer       Date:  2010-04-28       Impact factor: 4.430

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.