Hussain, S.A. orcid.org/0000-0003-1552-511X, Palmer, D.H., Syn, W.K. et al. (11 more authors) (2017) Gene expression profiling in bladder cancer identifies potential therapeutic targets. International Journal of Oncology, 50 (4). pp. 1147-1159. ISSN 1019-6439
Abstract
Despite advances in management, bladder cancer remains a major cause of cancer related complications. Characterisation of gene expression patterns in bladder cancer allows the identification of pathways involved in its pathogenesis, and may stimulate the development of novel therapies targeting these pathways. Between 2004 and 2005, cystoscopic bladder biopsies were obtained from 19 patients and 11 controls. These were subjected to whole transcript-based microarray analysis. Unsupervised hierarchical clustering was used to identify samples with similar expression profiles. Hypergeometric analysis was used to identify canonical pathways and curated networks having statistically significant enrichment of differentially expressed genes. Osteopontin (OPN) expression was validated by immunohistochemistry. Hierarchical clustering defined signatures, which differentiated between cancer and healthy tissue, muscle-invasive or non-muscle invasive cancer and healthy tissue, grade 1 and grade 3. Pathways associated with cell cycle and proliferation were markedly upregulated in muscle-invasive and grade 3 cancers. Genes associated with the classical complement pathway were downregulated in non-muscle invasive cancer. Osteopontin was markedly overexpressed in invasive cancer compared to healthy tissue. The present study contributes to a growing body of work on gene expression signatures in bladder cancer. The data support an important role for osteopontin in bladder cancer, and identify several pathways worthy of further investigation.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © Hussain et al. This is an open access article distributed under the terms of Creative Commons Attribution License. (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | bladder cancer; osteopontin; gene expression analysis; molecular classification; microarray; muscle invasive |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Human Metabolism (Sheffield) The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Oncology (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 11 May 2022 16:16 |
Last Modified: | 11 May 2022 16:35 |
Status: | Published |
Publisher: | Spandidos Publications |
Refereed: | Yes |
Identification Number: | 10.3892/ijo.2017.3893 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:186643 |
Download
Filename: Gene expression profiling in bladder cancer identifies potential therapeutic targets.pdf
Licence: CC-BY-NC-ND 4.0