A panel of biomarkers for diagnosis of prostate cancer using urine samples
(2018) In Anticancer research 38(3). p.1471-1477- Abstract
Background/Aim: Prostate cancer (PCa) diagnosis using patient urine samples represents a non-invasive and more convenient method than the conventional biopsy and prostate-specific antigen (PSA) test. This study intended to identify a biomarker panel to distinguish PCa from benign prostate using urine samples. Materials and Methods: We identified six biomarkers with differential gene expression in 154 PCa and benign prostate specimens. We then determined mRNA expression signature and the diagnostic performance of the 6-biomarker panel in 156 urine samples from patients with PCa and benign disease. Results: The 6-biomarker panel distinguished PCa from benign prostate cases with sensitivity of 80.6%, specificity of 62.9% and area under the... (More)
Background/Aim: Prostate cancer (PCa) diagnosis using patient urine samples represents a non-invasive and more convenient method than the conventional biopsy and prostate-specific antigen (PSA) test. This study intended to identify a biomarker panel to distinguish PCa from benign prostate using urine samples. Materials and Methods: We identified six biomarkers with differential gene expression in 154 PCa and benign prostate specimens. We then determined mRNA expression signature and the diagnostic performance of the 6-biomarker panel in 156 urine samples from patients with PCa and benign disease. Results: The 6-biomarker panel distinguished PCa from benign prostate cases with sensitivity of 80.6%, specificity of 62.9% and area under the curve (AUC) of 0.803 (p<0.0001), whereas serum PSA at 4 ng/ml cutoff had sensitivity of 95.5%, specificity of 20.2% and AUC of 0.521 (p<0.0001). Conclusion: The 6-biomarker panel for use in urine samples was able to distinguish PCa from benign prostate with higher specificity and accuracy than PSA and may be useful in clinical settings.
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- author
- Guo, Jinan ; Yang, Jianggen ; Zhang, Xuhui ; Feng, Xiaoyan ; Zhang, Heqiu ; Chen, Lingwu ; Johnson, Heather ; Persson, Jenny L. LU and Xiao, Kefeng
- organization
- publishing date
- 2018-03-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Prostate cancer, Prostate cancer biomarkers, Prostate cancer diagnosis
- in
- Anticancer research
- volume
- 38
- issue
- 3
- pages
- 7 pages
- publisher
- International Institute of Cancer Research
- external identifiers
-
- scopus:85043443682
- pmid:29491074
- ISSN
- 0250-7005
- DOI
- 10.21873/anticanres.12373
- language
- English
- LU publication?
- yes
- id
- 026aa83b-8f15-4514-baaa-70b2ce451966
- date added to LUP
- 2018-04-09 15:26:25
- date last changed
- 2024-06-24 12:42:22
@article{026aa83b-8f15-4514-baaa-70b2ce451966, abstract = {{<p>Background/Aim: Prostate cancer (PCa) diagnosis using patient urine samples represents a non-invasive and more convenient method than the conventional biopsy and prostate-specific antigen (PSA) test. This study intended to identify a biomarker panel to distinguish PCa from benign prostate using urine samples. Materials and Methods: We identified six biomarkers with differential gene expression in 154 PCa and benign prostate specimens. We then determined mRNA expression signature and the diagnostic performance of the 6-biomarker panel in 156 urine samples from patients with PCa and benign disease. Results: The 6-biomarker panel distinguished PCa from benign prostate cases with sensitivity of 80.6%, specificity of 62.9% and area under the curve (AUC) of 0.803 (p<0.0001), whereas serum PSA at 4 ng/ml cutoff had sensitivity of 95.5%, specificity of 20.2% and AUC of 0.521 (p<0.0001). Conclusion: The 6-biomarker panel for use in urine samples was able to distinguish PCa from benign prostate with higher specificity and accuracy than PSA and may be useful in clinical settings.</p>}}, author = {{Guo, Jinan and Yang, Jianggen and Zhang, Xuhui and Feng, Xiaoyan and Zhang, Heqiu and Chen, Lingwu and Johnson, Heather and Persson, Jenny L. and Xiao, Kefeng}}, issn = {{0250-7005}}, keywords = {{Prostate cancer; Prostate cancer biomarkers; Prostate cancer diagnosis}}, language = {{eng}}, month = {{03}}, number = {{3}}, pages = {{1471--1477}}, publisher = {{International Institute of Cancer Research}}, series = {{Anticancer research}}, title = {{A panel of biomarkers for diagnosis of prostate cancer using urine samples}}, url = {{http://dx.doi.org/10.21873/anticanres.12373}}, doi = {{10.21873/anticanres.12373}}, volume = {{38}}, year = {{2018}}, }