The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Detection of TMPRSS2-ERG Fusion Transcripts and Prostate Cancer Antigen 3 in Urinary Sediments May Improve Diagnosis of Prostate Cancer
Abstract
Purpose: Early detection of prostate cancer can increase the curative success rate for prostate cancer. We studied the diagnostic usefulness of TMPRSS2-ERG fusion transcripts as well as the combination of prostate cancer antigen 3 (PCA3) RNA and TMPRSS2-ERG fusion transcripts in urinary sediments after digital rectal examination (DRE). Experimental Design: A total of 78 men with prostate cancer–positive biopsies and 30 men with prostate cancer–negative biopsies were included in this study. After DRE, the first voided urine was collected, and urinary sediments were obtained. We used semiquantitative reverse transcription-PCR (RT-PCR) analysis followed by Southern blot hybridization with a radiolabeled probe for the detection TMPRSS2-ERG fusion transcripts in these urinary sediments. A quantitative RT-PCR assay for PCA3 was used to determine the PCA3 score in the same sediments. Results: TMPRSS2-ERG fusion transcripts can be detected in the urine after DRE with a sensitivity of 37%. In this cohort of patients, the PCA3-based assay had a sensitivity of 62%. When both markers were combined, the sensitivity increased to 73%. Especially in the cohort of men with persistently elevated serum prostate-specific antigen levels and history of negative biopsies, the high positive predictive value of 94% of TMPRSS2-ERG fusion transcripts could give a better indication which patients require repeat biopsies. Conclusion: In this report, we used for the first time the combination of the prostate cancer–specific biomarkers TMPRSS2-ERG and PCA3, which significantly improves the sensitivity for prostate cancer diagnosis.
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Church, G. M., & Gilbert, W. (1984) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.81.7.1991 · Cited by 8,116
Jemal, A., Siegel, R., Ward, E., Murray, T., Xu, J., & Thun, M. J. (2007) · CA: A Cancer Journal for Clinicians · doi:10.3322/canjclin.57.1.43 · Cited by 7,439
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
DD3: a new prostate-specific gene, highly overexpressed in prostate cancer.
Bussemakers, M. J. G., van Bokhoven, A., Verhaegh, G. W. C. T., Smit, F. P., Karthaus, H. F. M., Schalken, J. A., Debruyne, F. M. J., Ru, N., & Isaacs, W. B. (1999) · PubMed · Cited by 1,051
Self-citationDD3PCA3-based Molecular Urine Analysis for the Diagnosis of Prostate Cancer
Hessels, D., Klein Gunnewiek, J. M. T., van Oort, I., Karthaus, H. F. M., van Leenders, G. J. L., van Balken, B., Kiemeney, L. A., Witjes, J. A., & Schalken, J. A. (2003) · European Urology · doi:10.1016/s0302-2838(03)00201-x · Cited by 704
Self-citationTMPRSS2:ERG gene fusion associated with lethal prostate cancer in a watchful waiting cohort
Demichelis, F., Fall, K., Perner, S., Andrén, O., Schmidt, F., Setlur, S. R., Hoshida, Y., Mosquera, J.-M., Pawitan, Y., Lee, C., et al. (2007) · Oncogene · doi:10.1038/sj.onc.1210237 · Cited by 645
DD3(PCA3), a very sensitive and specific marker to detect prostate tumors.
de Kok, J. B., Verhaegh, G. W. C. T., Roelofs, R., Hessels, D., Kiemeney, L. A. L. M., Aalders, T. W., Swinkels, D. W., & Schalken, J. A. (2002) · PubMed · Cited by 607
Self-citationTMPRSS2:ERG Fusion-Associated Deletions Provide Insight into the Heterogeneity of Prostate Cancer
Perner, S., Demichelis, F., Beroukhim, R., Schmidt, F. H., Mosquera, J.-M., Setlur, S., Tchinda, J., Tomlins, S. A., Hofer, M. D., Pienta, K. G., et al. (2006) · Cancer Research · doi:10.1158/0008-5472.can-06-1482 · Cited by 502
TMPRSS2:ETV4 Gene Fusions Define a Third Molecular Subtype of Prostate Cancer
Tomlins, S. A., Mehra, R., Rhodes, D. R., Smith, L. R., Roulston, D., Helgeson, B. E., Cao, X., Wei, J. T., Rubin, M. A., Shah, R. B., et al. (2006) · Cancer Research · doi:10.1158/0008-5472.can-06-0168 · Cited by 469
Wang, J., Cai, Y., Ren, C., & Ittmann, M. (2006) · Cancer Research · doi:10.1158/0008-5472.can-06-1966 · Cited by 404
Cited by
Beyond PSA: The Next Generation of Prostate Cancer Biomarkers
Prensner, J. R., Rubin, M. A., Wei, J. T., & Chinnaiyan, A. M. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003180 · Cited by 472
A First-Generation Multiplex Biomarker Analysis of Urine for the Early Detection of Prostate Cancer
Laxman, B., Morris, D. S., Yu, J., Siddiqui, J., Cao, J., Mehra, R., Lonigro, R. J., Tsodikov, A., Wei, J. T., Tomlins, S. A., et al. (2008) · Cancer Research · doi:10.1158/0008-5472.can-07-3224 · Cited by 409
ETS Gene Fusions in Prostate Cancer: From Discovery to Daily Clinical Practice
Tomlins, S. A., Bjartell, A., Chinnaiyan, A. M., Jenster, G., Nam, R. K., Rubin, M. A., & Schalken, J. A. (2009) · European Urology · doi:10.1016/j.eururo.2009.04.036 · Cited by 381
Self-citationDrabovich, A. P., Saraon, P., Drabovich, M., Karakosta, T. D., Dimitromanolakis, A., Hyndman, M. E., Jarvi, K., & Diamandis, E. P. (2019) · Molecular & Cellular Proteomics · doi:10.1074/mcp.ra119.001612 · Cited by 40
Drabovich, A. P., Saraon, P., Drabovich, M., Karakosta, T. D., Dimitromanolakis, A., Hyndman, M. E., Jarvi, K., & Diamandis, E. P. (2017) · doi:10.1101/120873
Metadata
- Authors
- Hessels, D., Smit, F. P., Verhaegh, G. W., Witjes, J. A., Cornel, E. B., & Schalken, J. A.
- Venue
- Clinical Cancer Research
- Published
- 2007-09-01
- Volume
- 13
- Issue
- 17
- Pages
- 5103-5108
- ISSN
- 1078-0432 (ISSN-L)
- 1557-3265
- OpenAlex
- W2146294552
- Cited by
- 334
- References
- 21
- FWCI
- 18.49
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hessels, D., Smit, F. P., Verhaegh, G. W., Witjes, J. A., Cornel, E. B., & Schalken, J. A. (2007). Detection of TMPRSS2-ERG Fusion Transcripts and Prostate Cancer Antigen 3 in Urinary Sediments May Improve Diagnosis of Prostate Cancer. Clinical Cancer Research. https://doi.org/10.1158/1078-0432.ccr-07-0700
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