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Series GSE3167 Query DataSets for GSE3167
Status Public on Sep 19, 2005
Title Classification of carcinoma in situ lesions in human bladder cancer
Organism Homo sapiens
Experiment type Expression profiling by array
Summary The presence of carcinoma in situ (CIS) lesions in the urinary bladder is associated with a high risk of disease progression to a muscle invasive stage. In this study, we used microarray expression profiling to examine the gene expression patterns in superficial transitional cell carcinoma (sTCC) with surrounding CIS (13 patients), without surrounding CIS lesions (15 patients), and in muscle invasive carcinomas (mTCC; 13 patients). Hierarchical cluster analysis separated the sTCC samples according to the presence or absence of CIS in the surrounding urothelium. We identified a few gene clusters that contained genes with similar expression levels in transitional cell carcinoma (TCC) with surrounding CIS and invasive TCC. However, no close relationship between TCC with adjacent CIS and invasive TCC was observed using hierarchical cluster analysis. Expression profiling of a series of biopsies from normal urothelium and urothelium with CIS lesions from the same urinary bladder revealed that the gene expression found in sTCC with surrounding CIS is found also in CIS biopsies as well as in histologically normal samples adjacent to the CIS lesions. Furthermore, we also identified similar gene expression changes in mTCC samples. We used a supervised learning approach to build a 16-gene molecular CIS classifier. The classifier was able to classify sTCC samples according to the presence or absence of surrounding CIS with a high accuracy. This study demonstrates that a CIS gene expression signature is present not only in CIS biopsies but also in sTCC, mTCC, and, remarkably, in histologically normal urothelium from bladders with CIS. Identification of this expression signature could provide guidance for the selection of therapy and follow-up regimen in patients with early stage bladder cancer.
Keywords: Tissue group comparisons (+-CIS)
Overall design See publication
Web link
Contributor(s) Dyrskjøt L, Kruhøffer M, Thykjaer T, Marcussen N, Jensen JL, Møller K, Ørntoft TF
Citation(s) 15173019
Submission date Aug 19, 2005
Last update date Aug 10, 2018
Contact name Lars Dyrskjot
Organization name Aarhus University Hospital, Skejby
Department Department of Molecular Medicine
Street address Brendstrupgaardsvej
City Aarhus N
ZIP/Postal code 8200
Country Denmark
Platforms (1)
GPL96 [HG-U133A] Affymetrix Human Genome U133A Array
Samples (60)
GSM71019 Normal bladder 7-99
GSM71020 Normal bladder 9-99
GSM71021 Normal bladder 16-99
BioProject PRJNA93009

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Supplementary file Size Download File type/resource
GSE3167_RAW.tar 197.1 Mb (http)(custom) TAR (of CEL)

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