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A panel of biomarkers for diagnosis of prostate cancer using urine samples

Guo, Jinan; Yang, Jianggen; Zhang, Xuhui; Feng, Xiaoyan; Zhang, Heqiu; Chen, Lingwu; Johnson, Heather; Persson, Jenny L. LU and Xiao, Kefeng (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
organization
publishing date
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
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
2019-02-20 11:13:21
@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&lt;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&lt;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},
  keyword      = {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},
  volume       = {38},
  year         = {2018},
}