Literature DB >> 11439368

Microarrays of bladder cancer tissue are highly representative of proliferation index and histological grade.

A Nocito1, L Bubendorf, E M Tinner, K Süess, U Wagner, T Forster, J Kononen, A Fijan, J Bruderer, U Schmid, D Ackermann, R Maurer, G Alund, H Knönagel, M Rist, M Anabitarte, F Hering, T Hardmeier, A J Schoenenberger, R Flury, P Jäger, J L Fehr, P Schraml, H Moch, M J Mihatsch, T Gasser, G Sauter.   

Abstract

The number of genes suggested to play a role in cancer biology is rapidly increasing. To be able to test a large number of molecular parameters in sufficiently large series of primary tumours, a tissue microarray (TMA) approach has been developed where samples from up to 1000 tumours can be simultaneously analysed on one glass slide. Because of the small size of the individual arrayed tissue samples (diameter 0.6 mm), the question arises of whether these specimens are representative of their donor tumours. To investigate how representative are the results obtained on TMAs, a set of 2317 bladder tumours that had been previously analysed for histological grade and Ki67 labelling index (LI) was used to construct four replica TMAs from different areas of each tumour. Clinical follow-up information was available from 1092 patients. The histological grade and the Ki67 LI were determined for every arrayed tumour sample (4x2317 analyses each). Despite discrepancies in individual cases, the grade and Ki67 information obtained on minute arrayed samples were highly similar to the data obtained on large sections (p<0.0001). Most importantly, every individual association between grade or Ki67 LI and tumour stage or prognosis (recurrence, progression, tumour-specific survival) that was observed in large section analysis could be fully reproduced on all four replica TMAs. These results show that intra-tumour heterogeneity does not significantly affect the ability to detect clinico-pathological correlations on TMAs, probably because of the large number of tumours that can be included in TMA studies. TMAs are a powerful tool for rapid identification of the biological or clinical significance of molecular alterations in bladder cancer and other tumour types. Copyright 2001 John Wiley & Sons, Ltd.

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Year:  2001        PMID: 11439368     DOI: 10.1002/1096-9896(200107)194:3<349::AID-PATH887>3.0.CO;2-D

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   7.996


  66 in total

1.  Software tools for high-throughput analysis and archiving of immunohistochemistry staining data obtained with tissue microarrays.

Authors:  Chih Long Liu; Wijan Prapong; Yasodha Natkunam; Ash Alizadeh; Kelli Montgomery; C Blake Gilks; Matt van de Rijn
Journal:  Am J Pathol       Date:  2002-11       Impact factor: 4.307

2.  Application of differential display, with in situ hybridization verification, to microscopic samples of breast cancer tissue.

Authors:  Ruey Ho Kao; Giulio Francia; Richard Poulsom; Andrew M Hanby; Ian R Hart
Journal:  Int J Exp Pathol       Date:  2003-10       Impact factor: 1.925

3.  Expression of sex hormone receptors and cell cycle proteins in melanocytic lesions of the ocular conjunctiva.

Authors:  Mona Pache; Katharina Glatz-Krieger; Guido Sauter; Peter Meyer
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2005-07-08       Impact factor: 3.117

4.  Advances in cancer tissue microarray technology: Towards improved understanding and diagnostics.

Authors:  Wenjin Chen; David J Foran
Journal:  Anal Chim Acta       Date:  2006-01-23       Impact factor: 6.558

5.  Prognostic significance of mucins in colorectal cancer with different DNA mismatch-repair status.

Authors:  A Lugli; I Zlobec; K Baker; P Minoo; L Tornillo; L Terracciano; J R Jass
Journal:  J Clin Pathol       Date:  2006-06-30       Impact factor: 3.411

6.  Immunoprofile of cervical and endometrial adenocarcinomas using a tissue microarray.

Authors:  A Alkushi; J Irving; F Hsu; B Dupuis; C L Liu; M Rijn; C B Gilks
Journal:  Virchows Arch       Date:  2003-02-12       Impact factor: 4.064

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

Authors:  Mona Pache; Katharina Glatz; Doris Bösch; Stephan Dirnhofer; Martina Mirlacher; Ronald Simon; Peter Schraml; Alex Rufle; Josef Flammer; Guido Sauter; Peter Meyer
Journal:  Virchows Arch       Date:  2003-09-26       Impact factor: 4.064

8.  Ki-67 expression is superior to mitotic count and novel proliferation markers PHH3, MCM4 and mitosin as a prognostic factor in thick cutaneous melanoma.

Authors:  Rita G Ladstein; Ingeborg M Bachmann; Oddbjørn Straume; Lars A Akslen
Journal:  BMC Cancer       Date:  2010-04-14       Impact factor: 4.430

9.  Decentralized data sharing of tissue microarrays for investigative research in oncology.

Authors:  Wenjin Chen; Cristina Schmidt; Manish Parashar; Michael Reiss; David J Foran
Journal:  Cancer Inform       Date:  2007-06-06

10.  Tumor necrosis is associated with increased alphavbeta3 integrin expression and poor prognosis in nodular cutaneous melanomas.

Authors:  Ingeborg M Bachmann; Rita G Ladstein; Oddbjørn Straume; George N Naumov; Lars A Akslen
Journal:  BMC Cancer       Date:  2008-12-05       Impact factor: 4.430

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