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

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 simultan...

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Veröffentlicht in:The Journal of pathology 2001-07, Vol.194 (3), p.349-357
Hauptverfasser: Nocito, Antonio, Bubendorf, Lukas, Tinner, Eva Maria, Süess, Katrin, Wagner, Urs, Forster, Thomas, Kononen, Juha, Fijan, André, Bruderer, James, Schmid, Ulrico, Ackermann, Daniel, Maurer, Robert, Alund, Göran, Knönagel, Hartmut, Rist, Marcus, Anabitarte, Manuel, Hering, Franz, Hardmeier, Thomas, Schoenenberger, Andreas J, Flury, Renata, Jäger, Peter, Luc Fehr, Jean, Schraml, Peter, Moch, Holger, Mihatsch, Michael J, Gasser, Thomas, Sauter, Guido
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Sprache:eng
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Zusammenfassung: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 (4×2317 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
ISSN:0022-3417
1096-9896
DOI:10.1002/1096-9896(200107)194:3<349::AID-PATH887>3.0.CO;2-D