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Molecular characterisation of ERG, ETV1 and PTEN gene loci identifies patients at low and high risk of death from prostate cancer

Open access
on behalf of the Transatlantic Prostate Group, Reid, A H M, Attard, G, Ambroisine, L, Fisher, G, Kovacs, G, Brewer, D, Clark, J, Flohr, P, Edwards, S, Berney, D M, Foster, C S, Fletcher, A, Gerald, W L, Møller, H, Reuter, V E, Scardino, P T, Cuzick, J, de Bono, J S, Cooper, C S·2010·British Journal of Cancer

Abstract

BACKGROUND: The discovery of ERG/ETV1 gene rearrangements and PTEN gene loss warrants investigation in a mechanism-based prognostic classification of prostate cancer (PCa). The study objective was to evaluate the potential clinical significance and natural history of different disease categories by combining ERG/ETV1 gene rearrangements and PTEN gene loss status. METHODS: We utilised fluorescence in situ hybridisation (FISH) assays to detect PTEN gene loss and ERG/ETV1 gene rearrangements in 308 conservatively managed PCa patients with survival outcome data. RESULTS: ERG/ETV1 gene rearrangements alone and PTEN gene loss alone both failed to show a link to survival in multivariate analyses. However, there was a strong interaction between ERG/ETV1 gene rearrangements and PTEN gene loss (P<0.001). The largest subgroup of patients (54%), lacking both PTEN gene loss and ERG/ETV1 gene rearrangements comprised a 'good prognosis' population exhibiting favourable cancer-specific survival (85.5% alive at 11 years). The presence of PTEN gene loss in the absence of ERG/ETV1 gene rearrangements identified a patient population (6%) with poorer cancer-specific survival that was highly significant (HR=4.87, P<0.001 in multivariate analysis, 13.7% survival at 11 years) when compared with the 'good prognosis' group. ERG/ETV1 gene rearrangements and PTEN gene loss status should now prospectively be incorporated into a predictive model to establish whether predictive performance is improved. CONCLUSIONS: Our data suggest that FISH studies of PTEN gene loss and ERG/ETV1 gene rearrangements could be pursued for patient stratification, selection and hypothesis-generating subgroup analyses in future PCa clinical trials and potentially in patient management.

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Authors
on behalf of the Transatlantic Prostate Group, Reid, A. H. M., Attard, G., Ambroisine, L., Fisher, G., Kovacs, G., Brewer, D., Clark, J., Flohr, P., Edwards, S., Berney, D. M., Foster, C. S., Fletcher, A., Gerald, W. L., Møller, H., Reuter, V. E., Scardino, P. T., Cuzick, J., de Bono, J. S., & Cooper, C. S.
Venue
British Journal of Cancer
Published
2010-01-26
Volume
102
Issue
4
Pages
678-684
ISSN
  • 0007-0920 (ISSN-L)
  • 1532-1827
OpenAlex
W2169599916
Cited by
250
References
2
FWCI
18.69
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Molecular characterisation of ERG, ETV1 and PTEN gene loci identifies patients at low and high risk of death from prostate cancer. https://app.cochat.ai/papers/10.1038/sj.bjc.6605554
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on behalf of the Transatlantic Prostate Group, Reid, A. H. M., Attard, G., Ambroisine, L., Fisher, G., Kovacs, G., Brewer, D., Clark, J., Flohr, P., Edwards, S., Berney, D. M., Foster, C. S., Fletcher, A., Gerald, W. L., Møller, H., Reuter, V. E., Scardino, P. T., Cuzick, J., de Bono, J. S., & Cooper, C. S. (2010). Molecular characterisation of ERG, ETV1 and PTEN gene loci identifies patients at low and high risk of death from prostate cancer. British Journal of Cancer. https://doi.org/10.1038/sj.bjc.6605554

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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