The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
A First-Generation Multiplex Biomarker Analysis of Urine for the Early Detection of Prostate Cancer
Open accessAbstract
Although prostate-specific antigen (PSA) serum level is currently the standard of care for prostate cancer screening in the United States, it lacks ideal specificity and additional biomarkers are needed to supplement or potentially replace serum PSA testing. Emerging evidence suggests that monitoring the noncoding RNA transcript PCA3 in urine may be useful in detecting prostate cancer in patients with elevated PSA levels. Here, we show that a multiplex panel of urine transcripts outperforms PCA3 transcript alone for the detection of prostate cancer. We measured the expression of seven putative prostate cancer biomarkers, including PCA3, in sedimented urine using quantitative PCR on a cohort of 234 patients presenting for biopsy or radical prostatectomy. By univariate analysis, we found that increased GOLPH2, SPINK1, and PCA3 transcript expression and TMPRSS2:ERG fusion status were significant predictors of prostate cancer. Multivariate regression analysis showed that a multiplexed model, including these biomarkers, outperformed serum PSA or PCA3 alone in detecting prostate cancer. The area under the receiver-operating characteristic curve was 0.758 for the multiplexed model versus 0.662 for PCA3 alone (P = 0.003). The sensitivity and specificity for the multiplexed model were 65.9% and 76.0%, respectively, and the positive and negative predictive values were 79.8% and 60.8%, respectively. Taken together, these results provide the framework for the development of highly optimized, multiplex urine biomarker tests for more accurate detection of prostate cancer. [Cancer Res 2008;68(3):645–9]
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A Gene-Expression Signature as a Predictor of Survival in Breast Cancer
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A Preoperative Nomogram for Disease Recurrence Following Radical Prostatectomy for Prostate Cancer
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Cited by
Can urinary exosomes act as treatment response markers in prostate cancer?
Mitchell, P. J., Welton, J., Staffurth, J., Court, J., Mason, M. D., Tabi, Z., & Clayton, A. (2009) · Journal of Translational Medicine · doi:10.1186/1479-5876-7-4 · Cited by 313
Novel diagnostic biomarkers for prostate cancer
Madu, C. O., & Lu, Y. (2010) · Journal of Cancer · doi:10.7150/jca.1.150 · Cited by 261
Chromosomal Abnormalities in Cancer
Fröhling, S., & Döhner, H. (2008) · New England Journal of Medicine · doi:10.1056/nejmra0803109 · Cited by 229
Metadata
- Authors
- Laxman, B., Morris, D. S., Yu, J., Siddiqui, J., Cao, J., Mehra, R., Lonigro, R. J., Tsodikov, A., Wei, J. T., Tomlins, S. A., & Chinnaiyan, A. M.
- Venue
- Cancer Research
- Published
- 2008-02-01
- Volume
- 68
- Issue
- 3
- Pages
- 645-649
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2147010946
- Cited by
- 409
- References
- 28
- FWCI
- 40.90
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Laxman, B., Morris, D. S., Yu, J., Siddiqui, J., Cao, J., Mehra, R., Lonigro, R. J., Tsodikov, A., Wei, J. T., Tomlins, S. A., & Chinnaiyan, A. M. (2008). A First-Generation Multiplex Biomarker Analysis of Urine for the Early Detection of Prostate Cancer. Cancer Research. https://doi.org/10.1158/0008-5472.can-07-3224
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