Literature DB >> 19639170

Characteristic gene expression profiles of benign prostatic hypertrophy and prostate cancer.

Takumi Endo1, Katsuhiro Uzawa, Hiroyoshi Suzuki, Hideki Tanzawa, Tomohiko Ichikawa.   

Abstract

The molecular mechanism playing a role in the development of benign prostate hypertrophy (BPH) and prostate cancer (PC) is not well defined. We performed microarray analysis to assess the gene expression change in BPH and PC, and performed network analysis. Normal prostate, BPH and PC tissues were obtained from patients who underwent an operation at Chiba University Hospital. Using Affymetrix Human Genome U133 Plus2.0 Array, we identified genes differentially expressed. The identified genes were analyzed using the Ingenuity Pathway Analysis (IPA) to investigate the functional network and gene ontology. The microarray analysis identified 402 genes in BPH and 141 genes in PC, which were up- or down-regulated at least 5.0-fold change in PC at all dose points. Analysis using IPA software revealed eight networks in BPH and five networks in PC. We narrowed these down to the top five genes, which were up- or down-regulated on the networks in their characteristic manner. From this new perspective, comparing BPH and PC in microarray studies, our data showing gene expression profiles provide candidate genes for better understanding of disease and new therapeutic targets.

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Year:  2009        PMID: 19639170     DOI: 10.3892/ijo_00000361

Source DB:  PubMed          Journal:  Int J Oncol        ISSN: 1019-6439            Impact factor:   5.650


  7 in total

1.  Analysis of the specific pathways and networks of prostate cancer for gene expression profiles in the Chinese population.

Authors:  Jia-hong Chen; Hui-chan He; Fu-neng Jiang; Julia Militar; Petor-yang Ran; Guo-qiang Qin; Chao Cai; Xi-Bin Chen; Jin Zhao; Zi-yao Mo; Yan-ru Chen; Jian-guo Zhu; Xingyin Liu; Wei-de Zhong
Journal:  Med Oncol       Date:  2011-10-30       Impact factor: 3.064

2.  Prognostic Significance of a Novel Score Model Based on Preoperative Indicators in Patients with Breast Cancer Spine Metastases (BCSM).

Authors:  Chenglong Zhao; Yao Wang; Xiaopan Cai; Wei Xu; Dongsheng Wang; Ting Wang; Qi Jia; Haiyi Gong; Haitao Sun; Zhipeng Wu; Jianru Xiao
Journal:  Cancer Manag Res       Date:  2020-11-10       Impact factor: 3.989

3.  FOXA1 promotes tumor progression in prostate cancer via the insulin-like growth factor binding protein 3 pathway.

Authors:  Yusuke Imamura; Shinichi Sakamoto; Takumi Endo; Takanobu Utsumi; Miki Fuse; Takahito Suyama; Koji Kawamura; Takashi Imamoto; Kojiro Yano; Katsuhiro Uzawa; Naoki Nihei; Hiroyoshi Suzuki; Atsushi Mizokami; Takeshi Ueda; Naohiko Seki; Hideki Tanzawa; Tomohiko Ichikawa
Journal:  PLoS One       Date:  2012-08-03       Impact factor: 3.240

4.  Identification of potential biomarkers and pivotal biological pathways for prostate cancer using bioinformatics analysis methods.

Authors:  Zihao He; Xiaolu Duan; Guohua Zeng
Journal:  PeerJ       Date:  2019-10-04       Impact factor: 2.984

Review 5.  Trends in Gene Expression Profiling for Prostate Cancer Risk Assessment: A Systematic Review.

Authors:  Zhaoyi Chen; Travis Gerke; Victoria Bird; Mattia Prosperi
Journal:  Biomed Hub       Date:  2017-05-17

6.  Environmental Phenol and Paraben Exposure Risks and Their Potential Influence on the Gene Expression Involved in the Prognosis of Prostate Cancer.

Authors:  Diaaidden Alwadi; Quentin Felty; Deodutta Roy; Changwon Yoo; Alok Deoraj
Journal:  Int J Mol Sci       Date:  2022-03-27       Impact factor: 5.923

7.  IL-27/IL-27RA signaling may modulate inflammation and progression of benign prostatic hyperplasia via suppressing the LPS/TLR4 pathway.

Authors:  Hua-Cheng Lo; Dah-Shyong Yu; Hong-Wei Gao; Mong-Hsun Tsai; Eric Y Chuang
Journal:  Transl Cancer Res       Date:  2020-08       Impact factor: 1.241

  7 in total

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