uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
An expression signature at diagnosis to estimate prostate cancer patients' overall survival
Show others and affiliations
2014 (English)In: Prostate Cancer and Prostatic Diseases, ISSN 1365-7852, E-ISSN 1476-5608, Vol. 17, no 1, 81-90 p.Article in journal (Refereed) Published
Abstract [en]

BACKGROUND: This study aimed to identify biomarkers for estimating the overall and prostate cancer (PCa)-specific survival in PCa patients at diagnosis. METHODS: To explore the importance of embryonic stem cell (ESC) gene signatures, we identified 641 ESC gene predictors (ESCGPs) using published microarray data sets. ESCGPs were selected in a stepwise manner, and were combined with reported genes. Selected genes were analyzed by multiplex quantitative polymerase chain reaction using prostate fine-needle aspiration samples taken at diagnosis from a Swedish cohort of 189 PCa patients diagnosed between 1986 and 2001. Of these patients, there was overall and PCa-specific survival data available for 97.9%, and 77.9% were primarily treated by hormone therapy only. Univariate and multivariate Cox proportional hazard ratios and Kaplan-Meier plots were used for the survival analysis, and a k-nearest neighbor (kNN) algorithm for estimating overall survival. RESULTS: An expression signature of VGLL3, IGFBP3 and F3 was shown sufficient to categorize the patients into high-, intermediate- and low-risk subtypes. The median overall survival times of the subtypes were 3.23, 4.00 and 9.85 years, respectively. The difference corresponded to hazard ratios of 5.86 (95% confidence interval (CI): 2.91-11.78, P<0.001) for the high-risk subtype and 3.45 (95% CI: 1.79-6.66, P<0.001) for the intermediate-risk compared with the low-risk subtype. The kNN models that included the gene expression signature outperformed the one designed on clinical parameters alone. CONCLUSIONS: The expression signature can potentially be used to estimate overall survival time. When validated in future studies, it could be integrated in the routine clinical diagnostic and prognostic procedure of PCa for an optimal treatment decision based on the estimated survival benefit.

Place, publisher, year, edition, pages
2014. Vol. 17, no 1, 81-90 p.
Keyword [en]
overall and cancer-specific survival, castration therapy, embryonic stem cells, gene expression signature
National Category
Medical and Health Sciences
URN: urn:nbn:se:uu:diva-220781DOI: 10.1038/pcan.2013.57ISI: 000331331300014OAI: oai:DiVA.org:uu-220781DiVA: diva2:707320
Available from: 2014-03-24 Created: 2014-03-20 Last updated: 2014-03-24Bibliographically approved

Open Access in DiVA

fulltext(2145 kB)30 downloads
File information
File name FULLTEXT01.pdfFile size 2145 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full text
By organisation
Department of Radiology, Oncology and Radiation Science
In the same journal
Prostate Cancer and Prostatic Diseases
Medical and Health Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 30 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 177 hits
ReferencesLink to record
Permanent link

Direct link