Literature DB >> 11888886

Clinical validation of candidate genes associated with prostate cancer progression in the CWR22 model system using tissue microarrays.

Spyro Mousses1, Lukas Bubendorf, Urs Wagner, Galen Hostetter, Juha Kononen, Robert Cornelison, Natalie Goldberger, Abdel G Elkahloun, Niels Willi, Pasi Koivisto, William Ferhle, Mark Raffeld, Guito Sauter, Olli-P Kallioniemi.   

Abstract

To explore molecular mechanisms of prostate cancer progression, we applied tissue microarrays (TMAs) to analyze expression of candidate gene targets discovered by cDNA microarray analysis of the CWR22 xenograft model system. A TMA with 544 clinical specimens from different stages of disease progression was probed by mRNA in situ hybridization and protein immunohistochemistry. There was an excellent correlation (r = 0.96; n = 16) between the expression levels of the genes in the xenografts by cDNA microarray and mRNA in situ hybridization on a TMA. One of the most highly overexpressed genes in hormone-refractory CWR22R xenografts was the S100P gene. This gene, coding for a calcium signaling molecule implicated in the loss of senescence, was also significantly associated with progression in clinical tumors by TMA analysis (P < 0.001), suggesting dysregulation of this pathway in hormone-refractory and metastatic prostate cancers. Conversely, two genes that were down-regulated during tumor progression in the CWR22 model system were validated in vivo: crystallin mu (CRYM) and a LIM-domain protein LMO4 both showed significantly lower mRNA levels in hormone-refractory tumors as compared with primary tumors (P < 0.001). These results illustrate a strategy for rapid clinical validation at the mRNA and protein level of gene targets found to be differentially expressed in cDNA microarray experiments of model systems of cancer.

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Year:  2002        PMID: 11888886

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


  40 in total

1.  Heterodimeric interaction and interfaces of S100A1 and S100P.

Authors:  Guozheng Wang; Shu Zhang; David G Fernig; David Spiller; Marisa Martin-Fernandez; Hongmei Zhang; Yi Ding; Zihe Rao; Philip S Rudland; Roger Barraclough
Journal:  Biochem J       Date:  2004-08-15       Impact factor: 3.857

Review 2.  Tissue microarrays.

Authors:  Susan Henshall
Journal:  J Mammary Gland Biol Neoplasia       Date:  2003-07       Impact factor: 2.673

Review 3.  S100P: a novel therapeutic target for cancer.

Authors:  Thiruvengadam Arumugam; Craig D Logsdon
Journal:  Amino Acids       Date:  2010-05-28       Impact factor: 3.520

4.  Expression of S100P and its novel binding partner S100PBPR in early pancreatic cancer.

Authors:  Sally E Dowen; Tatjana Crnogorac-Jurcevic; Rathi Gangeswaran; Mikkel Hansen; Jyrki J Eloranta; Vipul Bhakta; Teresa A Brentnall; Jutta Lüttges; Gunther Klöppel; Nick R Lemoine
Journal:  Am J Pathol       Date:  2005-01       Impact factor: 4.307

5.  Discriminate gene lists derived from cDNA microarray profiles of limited samples permit distinguishing mesenchymal neoplasia ex vivo.

Authors:  David E Joyner; Mark L Wade; Aniko Szabo; Jeffrey Bastar; Cheryl M Coffin; Karen H Albritton; Philip S Bernard; R Lor Randall
Journal:  J Cancer Res Clin Oncol       Date:  2004-12-22       Impact factor: 4.553

6.  Repression of Lim only protein 4-activated transcription inhibits proliferation and induces apoptosis of normal mammary epithelial cells and breast cancer cells.

Authors:  Yingpu Tian; Ning Wang; Zhongxian Lu
Journal:  Clin Exp Metastasis       Date:  2010-06-06       Impact factor: 5.150

Review 7.  Calcium-binding protein S100P and cancer: mechanisms and clinical relevance.

Authors:  Hongfei Jiang; Hang Hu; Xiaomei Tong; Qiuhong Jiang; Haiyan Zhu; Songying Zhang
Journal:  J Cancer Res Clin Oncol       Date:  2011-09-24       Impact factor: 4.553

Review 8.  Tissue microarrays: applications in urological cancer research.

Authors:  A S Merseburger; A G Anastasiadis; J Hennenlotter; D Schilling; P Simon; S A Machtens; J Serth; A Stenzl; M A Kuczyk
Journal:  World J Urol       Date:  2006-08-09       Impact factor: 4.226

9.  Correlations between RNA and protein expression profiles in 23 human cell lines.

Authors:  Marcus Gry; Rebecca Rimini; Sara Strömberg; Anna Asplund; Fredrik Pontén; Mathias Uhlén; Peter Nilsson
Journal:  BMC Genomics       Date:  2009-08-07       Impact factor: 3.969

10.  LMO4 is an essential mediator of ErbB2/HER2/Neu-induced breast cancer cell cycle progression.

Authors:  M E Montañez-Wiscovich; D D Seachrist; M D Landis; J Visvader; B Andersen; R A Keri
Journal:  Oncogene       Date:  2009-08-03       Impact factor: 9.867

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