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An expression signa...
An expression signature at diagnosis to estimate prostate cancer patients' overall survival
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- Peng, Z. (författare)
- Karolinska Institutet
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Skoog, L. (författare)
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Hellborg, H. (författare)
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Jonstam, G. (författare)
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Wingmo, I-L (författare)
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Hjalm-Eriksson, M. (författare)
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- Harmenberg, U. (författare)
- Karolinska Institutet
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- Cedermark, G. C. (författare)
- Karolinska Institutet
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- Andersson, K. (författare)
- Uppsala universitet,Institutionen för radiologi, onkologi och strålningsvetenskap
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- Ahrlund-Richter, L. (författare)
- Karolinska Institutet
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Pramana, S. (författare)
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- Pawitan, Y. (författare)
- Karolinska Institutet
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- Nister, M. (författare)
- Karolinska Institutet
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- Nilsson, S. (författare)
- Karolinska Institutet
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- Li, C. (författare)
- Karolinska Institutet
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(creator_code:org_t)
- 2014-01-07
- 2014
- Engelska.
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Ingår i: Prostate Cancer and Prostatic Diseases. - : Springer Science and Business Media LLC. - 1365-7852 .- 1476-5608. ; 17:1, s. 81-90
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https://www.nature.c...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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http://kipublication...
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Abstract
Ämnesord
Stäng
- 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.
Nyckelord
- overall and cancer-specific survival
- castration therapy
- embryonic stem cells
- gene expression signature
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Peng, Z.
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Skoog, L.
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Hellborg, H.
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Jonstam, G.
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Wingmo, I-L
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Hjalm-Eriksson, ...
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visa fler...
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Harmenberg, U.
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Cedermark, G. C.
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Andersson, K.
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Ahrlund-Richter, ...
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Pramana, S.
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Pawitan, Y.
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Nister, M.
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Nilsson, S.
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Li, C.
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visa färre...
- Artiklar i publikationen
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Prostate Cancer ...
- Av lärosätet
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Uppsala universitet
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Karolinska Institutet