Literature DB >> 10980118

High-throughput tissue microarray analysis of cyclin E gene amplification and overexpression in urinary bladder cancer.

J Richter1, U Wagner, J Kononen, A Fijan, J Bruderer, U Schmid, D Ackermann, R Maurer, G Alund, H Knönagel, M Rist, K Wilber, M Anabitarte, F Hering, T Hardmeier, A Schönenberger, R Flury, P Jäger, J L Fehr, P Schraml, H Moch, M J Mihatsch, T Gasser, O P Kallioniemi, G Sauter.   

Abstract

Studies by comparative genomic hybridization revealed that the 19q13 chromosomal region is frequently amplified in bladder cancer. The cyclin E gene (CCNE), coding for a regulatory subunit of cyclin-dependent kinase 2, has been mapped to 19q13. To investigate the role of cyclin E alterations in bladder cancer, a tissue microarray of 2,317 specimens from 1,842 bladder cancer patients was constructed and analyzed for CCNE amplification by fluorescence in situ hybridization and for cyclin-E protein overexpression by immunohistochemistry. Fluorescence in situ hybridization analysis showed amplification in only 30 of the 1,561 evaluable tumors (1.9%). Amplification was significantly associated with stage and grade (P: < 0.0005 each). Immunohistochemically detectable cyclin E expression was strong in 233 (12.4%), weak in 354 (18.9%), and negative in 1, 286 of the 1,873 interpretable tumors. The majority (62.1%) of CCNE-amplified tumors were strongly immunohistochemistry-positive (P: < 0.0001). The frequency of protein expression increased from stage pTa (22.2%) to pT1 (45.5%; P: < 0.0001) but then decreased for stage pT2-4 (29.4%; P: < 0.0001 for pT1 versus pT2-4). Low cyclin E expression was associated with poor overall survival in all patients (P: < 0.0001), but had no prognostic impact independent of stage. It is concluded that cyclin E overexpression is characteristic to a subset of bladder carcinomas, especially at the stage of early invasion. This analysis of the prognostic impact of CCNE gene amplification and protein expression in >1,500 arrayed bladder cancers was accomplished in a period of 2 weeks, illustrating how the tissue microarray technology remarkably facilitates the evaluation of the clinical relevance of molecular alterations in cancer.

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Year:  2000        PMID: 10980118      PMCID: PMC1885698          DOI: 10.1016/s0002-9440(10)64592-0

Source DB:  PubMed          Journal:  Am J Pathol        ISSN: 0002-9440            Impact factor:   4.307


  27 in total

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Journal:  Am J Pathol       Date:  1999-10       Impact factor: 4.307

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  53 in total

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2.  Frozen tumor tissue microarray technology for analysis of tumor RNA, DNA, and proteins.

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Journal:  Am J Pathol       Date:  2001-11       Impact factor: 4.307

3.  Automated acquisition of stained tissue microarrays for high-throughput evaluation of molecular targets.

Authors:  Hans Vrolijk; Willem Sloos; Wilma Mesker; Patrick Franken; Riccardo Fodde; Hans Morreau; Hans Tanke
Journal:  J Mol Diagn       Date:  2003-08       Impact factor: 5.568

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Authors:  R Kuefer; M D Hofer; J E Gschwend; M A Rubin
Journal:  Urologe A       Date:  2004-06       Impact factor: 0.639

Review 5.  Tissue microarrays.

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

6.  Survey of molecular profiling during human colon cancer development and progression by immunohistochemical staining on tissue microarray.

Authors:  Wei-Chang Chen; Mao-Song Lin; Bao-Feng Zhang; Jing Fang; Qiong Zhou; Ying Hu; Heng-Jun Gao
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7.  Low molecular weight cyclin E is associated with p27-resistant, high-grade, high-stage and invasive bladder cancer.

Authors:  Said Akli; Xin-Qiao Zhang; Jolanta Bondaruk; Susan L Tucker; P Bogdan Czerniak; William F Benedict; Khandan Keyomarsi
Journal:  Cell Cycle       Date:  2012-04-01       Impact factor: 4.534

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9.  Sequence analysis and high-throughput immunohistochemical profiling of KIT (CD 117) expression in uveal melanoma using tissue microarrays.

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Authors:  Wun-Jae Kim; Soongang Park; Yong-June Kim
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