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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 accessAbstract
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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Recurrent Fusion of TMPRSS2 and ETS Transcription Factor Genes in Prostate Cancer
Tomlins, S. A., Rhodes, D. R., Perner, S., Dhanasekaran, S. M., Mehra, R., Sun, X.-W., Varambally, S., Cao, X., Tchinda, J., Kuefer, R., et al. (2005) · Science · doi:10.1126/science.1117679 · Cited by 3,846
Targeting the PI3K–AKT–mTOR pathway: progress, pitfalls, and promises
Yap, T. A., Garrett, M. D., Walton, M. I., Raynaud, F., de Bono, J. S., & Workman, P. (2008) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2008.08.004 · Cited by 543
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Carver, B. S., Chapinski, C., Wongvipat, J., Hieronymus, H., Chen, Y., Chandarlapaty, S., Arora, V. K., Le, C., Koutcher, J., Scher, H., et al. (2011) · Cancer Cell · doi:10.1016/j.ccr.2011.04.008 · Cited by 1,198
Self-citationThe ETS family of oncogenic transcription factors in solid tumours
Sizemore, G. M., Pitarresi, J. R., Balakrishnan, S., & Ostrowski, M. C. (2017) · Nature Reviews Cancer · doi:10.1038/nrc.2017.20 · Cited by 367
Krohn, A., Diedler, T., Burkhardt, L., Mayer, P.-S., De Silva, C., Meyer-Kornblum, M., Kötschau, D., Tennstedt, P., Huang, J., Gerhäuser, C., et al. (2012) · The American Journal of Pathology · doi:10.1016/j.ajpath.2012.04.026 · Cited by 324
Du, Z., Sun, T., Hacisuleyman, E., Fei, T., Wang, X., Brown, M., Rinn, J. L., Lee, M. G.-S., Chen, Y., Kantoff, P. W., et al. (2016) · Nature Communications · doi:10.1038/ncomms10982 · Cited by 317
Targeting the PI3K/Akt/mTOR pathway in castration-resistant prostate cancer
Bitting, R. L., & Armstrong, A. J. (2013) · Endocrine-Related Cancer · doi:10.1530/erc-12-0394 · Cited by 311
Metadata
- 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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- 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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.