Literature DB >> 15805257

Linkage and microarray analyses of susceptibility genes in ACI/Seg rats: a model for prostate cancers in the aged.

Satoshi Yamashita1, Shugo Suzuki, Tomoko Nomoto, Yasushi Kondo, Kuniko Wakazono, Yoshimi Tsujino, Takashi Sugimura, Tomoyuki Shirai, Yukio Homma, Toshikazu Ushijima.   

Abstract

ACI/Seg (ACI) rats develop prostate cancers spontaneously with aging, similar to humans. Here, to identify genes involved in prostate cancer susceptibility, we did linkage analysis and oligonucleotide microarray analysis. Linkage analysis was done using 118 effective rats, and prostate cancer susceptibility 1 (Pcs1), whose ACI allele dominantly induced prostate cancers, was mapped on chromosome 19 [logarithm of odds (LOD) score of 5.0]. PC resistance 1 (Pcr1), whose ACI allele dominantly and paradoxically suppressed the size of prostate cancers, was mapped on chromosome 2 (LOD score of 5.0). When linkage analysis was done in 51 rats with single or no macroscopic testicular tumors, which had larger prostates and higher testosterone levels than those with bilateral testicular tumors, Pcs2 and Pcr2 were mapped on chromosomes 20 and 1, respectively. By oligonucleotide microarray analysis with 8,800 probe sets and confirmation by quantitative reverse transcription-PCR, only two genes within these four loci were found to be differentially expressed >1.8-fold. Membrane metalloendopeptidase (Mme), known to inhibit androgen-independent growth of prostate cancers, on Pcr1 was expressed 2.0- to 5.5-fold higher in the ACI prostate, in accordance with its paradoxical effect. Cdkn1a on Pcs2 was expressed 1.5- to 4.5-fold lower in the ACI prostate. Additionally, genes responsible for testicular tumors and unilateral renal agenesis were mapped on chromosomes 11 and 14, respectively. These results showed that prostate cancer susceptibility of ACI rats involves at least four loci, and suggested Mme and Cdkn1a as candidates for Pcr1 and Pcs2.

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Year:  2005        PMID: 15805257     DOI: 10.1158/0008-5472.CAN-04-2932

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  11 in total

1.  Minimal peroxide exposure of neuronal cells induces multifaceted adaptive responses.

Authors:  Wayne Chadwick; Yu Zhou; Sung-Soo Park; Liyun Wang; Nicholas Mitchell; Matthew D Stone; Kevin G Becker; Bronwen Martin; Stuart Maudsley
Journal:  PLoS One       Date:  2010-12-17       Impact factor: 3.240

2.  The ABRF MARG microarray survey 2005: taking the pulse of the microarray field.

Authors:  Kevin L Knudtson; Herbert Auer; Andrew I Brooks; Chandi Griffin; George Grills; Susan Hester; Gregory Khitrov; Kathryn S Lilley; Aldo Massimi; Jay P Tiesman; Agnes Viale
Journal:  J Biomol Tech       Date:  2006-04

3.  An informative set of SSLP markers and genomic profiles in the rat MHC, the RT1 complex.

Authors:  Yumie Takagi; Takashi Kuramoto; Birger Voigt; Toshiko Tsurumi; Satoshi Nakanishi; Tomoji Mashimo; Norio Masui; Tadao Serikawa
Journal:  Immunogenetics       Date:  2008-12-24       Impact factor: 2.846

4.  Expression quantitative trait loci analysis of 13 genes in the rat prostate.

Authors:  Satoshi Yamashita; Kuniko Wakazono; Tomoko Nomoto; Yoshimi Tsujino; Takashi Kuramoto; Toshikazu Ushijima
Journal:  Genetics       Date:  2005-08-03       Impact factor: 4.562

5.  An analysis of potential surrogate markers of target-specific therapy in archival materials of adrenocortical carcinoma.

Authors:  Megumi Nakamura; Yasuhiro Miki; Jun-Ichi Akahira; Ryo Morimoto; Fumitoshi Satoh; Shigeto Ishidoya; Yoichi Arai; Takashi Suzuki; Yutaka Hayashi; Hironobu Sasano
Journal:  Endocr Pathol       Date:  2009       Impact factor: 3.943

6.  Atypical fetal prostate development is associated with ipsilateral hypoplasia of the wolffian ducts in the ACI rat.

Authors:  Luke E Hofkamp; Sarahann Bradley; Jan Geliebter; Barry G Timms
Journal:  Anat Rec (Hoboken)       Date:  2010-05       Impact factor: 2.064

7.  Changes in proteomic profiles in different prostate lobes of male rats throughout growth and development and aging stages of the life span.

Authors:  Arunangshu Das; James D Bortner; Cesar A Aliaga; Aaron Baker; Anne Stanley; Bruce A Stanley; Matthew Kaag; John P Richie; Karam El-Bayoumy
Journal:  Prostate       Date:  2012-08-21       Impact factor: 4.104

8.  Differential proteomics in the aging Noble rat ventral prostate.

Authors:  Ying Wai Lam; Neville N C Tam; James E Evans; Karin M Green; Xiang Zhang; Shuk-Mei Ho
Journal:  Proteomics       Date:  2008-07       Impact factor: 3.984

9.  Genomic profiling of tumor initiating prostatospheres.

Authors:  Maria Ana Duhagon; Elaine M Hurt; Jose R Sotelo-Silveira; Xiaohu Zhang; William L Farrar
Journal:  BMC Genomics       Date:  2010-05-25       Impact factor: 3.969

10.  Congenic strain differences of renal malformations in ACI/Mna rats by introgression of the chromosomal region of BUF/Mna rats containing Pur1.

Authors:  Mutsushi Matsuyama; Chiemi Haneda; Kazuo Kato
Journal:  Nagoya J Med Sci       Date:  2013-08       Impact factor: 1.131

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