Literature DB >> 21604945

Tumour markers in prostate cancer III: biomarkers in urine.

Monique J Roobol1, Alexander Haese, Anders Bjartell.   

Abstract

The serum PSA test still is the most important biomarker for the detection and follow-up of prostate cancer. PSA-based screening can reduce disease specific mortality but coinciding unnecessary testing and overdiagnosis warrant further research for more specific biomarkers. Numerous studies of both serum and urine-based prostate cancer biomarker candidates have been presented the last ten years. However, biomarkers for identifying the most aggressive subsets of this malignancy are still missing. Being non-invasive, urine-based tests might be suitable for both clinical and (mass) screening purposes, but also for prediction and to gain prognostic information. Protein-based, DNA-based and RNA-based urine biomarkers have been developed and tested. PROTEIN MARKERS IN URINE: Data on protein-based urine biomarkers (i.e. Annexin A3, matrix metalloproteinases and the urinary:serum PSA ratio) show up to now contradictory results and further studies are warranted to be able to assess their clinical value in which the cost aspect should not be overlooked. DNA markers in urine. Studies on DNA-based urine biomarkers focus on hypermethylation of gene panels with GSTP1 hypermethylation being the most promising individual marker. Larger prospective clinical studies of single markers and gene panels are however needed to validate their clinical utility. RNA MARKERS IN URINE: RNA-based urine biomarkers are by far the most developed. The PCA3 test, the TMPRSS2-ERG fusion gene, transcript expression levels of GOLPH2, SPINK1 and their combination have been subject of many studies showing encouraging results.
CONCLUSION: Up to now urine-based biomarkers represent a promising alternative or addition to serum-based biomarkers. Prospective studies in a multivariate setting, including larger sample sizes and avoiding attribution bias caused by preselection on the basis of serum PSA are however required.

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Year:  2011        PMID: 21604945     DOI: 10.3109/0284186X.2010.524935

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  24 in total

1.  Novel Long Non-coding RNA lncAMPC Promotes Metastasis and Immunosuppression in Prostate Cancer by Stimulating LIF/LIFR Expression.

Authors:  Wei Zhang; Xiaolei Shi; Rui Chen; Yasheng Zhu; Shihong Peng; Yifan Chang; Xinwen Nian; Guang'an Xiao; Ziyu Fang; Yaoming Li; Zhexu Cao; Lin Zhao; Guang Liu; Yinghao Sun; Shancheng Ren
Journal:  Mol Ther       Date:  2020-06-15       Impact factor: 11.454

2.  [Prostate biopsy - an unending story].

Authors:  G Mikuz
Journal:  Pathologe       Date:  2012-03       Impact factor: 1.011

3.  Role of active surveillance in the management of localized prostate cancer.

Authors:  Allison S Glass; Matthew R Cooperberg; Maxwell V Meng; Peter R Carroll
Journal:  J Natl Cancer Inst Monogr       Date:  2012-12

Review 4.  Risk-based prostate cancer screening.

Authors:  Xiaoye Zhu; Peter C Albertsen; Gerald L Andriole; Monique J Roobol; Fritz H Schröder; Andrew J Vickers
Journal:  Eur Urol       Date:  2011-11-24       Impact factor: 20.096

Review 5.  Potential utility of cancer-specific biomarkers for assessing response to hormonal treatments in metastatic prostate cancer.

Authors:  Jack Schalken; Siebren Dijkstra; Edwina Baskin-Bey; Inge van Oort
Journal:  Ther Adv Urol       Date:  2014-12

Review 6.  Risk stratification in prostate cancer screening.

Authors:  Monique J Roobol; Sigrid V Carlsson
Journal:  Nat Rev Urol       Date:  2012-12-18       Impact factor: 14.432

7.  Assays for prostate cancer : changing the screening paradigm?

Authors:  Jens Hansen; Michael Rink; Markus Graefen; Shahrokh Shariat; Felix K-H Chun
Journal:  Mol Diagn Ther       Date:  2013-02       Impact factor: 4.074

8.  Altered endosome biogenesis in prostate cancer has biomarker potential.

Authors:  Ian R D Johnson; Emma J Parkinson-Lawrence; Tetyana Shandala; Roberto Weigert; Lisa M Butler; Doug A Brooks
Journal:  Mol Cancer Res       Date:  2014-07-30       Impact factor: 5.852

9.  Gene panel model predictive of outcome in patients with prostate cancer.

Authors:  Nadège Rabiau; Yann Dantal; Laurent Guy; Marjolaine Ngollo; Aslihan Dagdemir; Jean-Louis Kemeny; Benoît Terris; Annick Vieillefond; Jean-Paul Boiteux; Yves-Jean Bignon; Dominique Bernard-Gallon
Journal:  OMICS       Date:  2013-06-11

Review 10.  The role of biomarkers in the assessment of prostate cancer risk prior to prostate biopsy: which markers matter and how should they be used?

Authors:  Marianne Schmid; Quoc-Dien Trinh; Markus Graefen; Margit Fisch; Felix K Chun; Jens Hansen
Journal:  World J Urol       Date:  2014-05-14       Impact factor: 4.226

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