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Mining tissue microarray data to uncover combinations of biomarker expression patterns that improve intermediate staging and grading of clear cell renal cell cancer

Dahinden, Corinne and Ingold, Barbara and Wild, Peter and Boysen, Gunther and Luu, Van-Duc and Montani, Matteo and Kristiansen, Glen and Sulser, Tullio and Bühlmann, Peter and Moch, Holger and Schraml, Peter. (2010) Mining tissue microarray data to uncover combinations of biomarker expression patterns that improve intermediate staging and grading of clear cell renal cell cancer. Clinical cancer research, Vol. 16, no. 1. pp. 88-98.

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Official URL: http://edoc.unibas.ch/dok/A6004400

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Abstract

Tumor stage and nuclear grade are the most important prognostic parameters of clear cell renal cell carcinoma (ccRCC). The progression risk of ccRCC remains difficult to predict particularly for tumors with organ-confined stage and intermediate differentiation grade. Elucidating molecular pathways deregulated in ccRCC may point to novel prognostic parameters that facilitate planning of therapeutic approaches.
Faculties and Departments:03 Faculty of Medicine > Bereich Querschnittsfächer (Klinik) > Pathologie USB
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Querschnittsfächer (Klinik) > Pathologie USB
UniBasel Contributors:Schraml, Peter Hans
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:American Association for Cancer Research
ISSN:1078-0432
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:24 May 2013 09:23
Deposited On:24 May 2013 09:20

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