Next Article in Journal
A Novel Technique for Intraoral Ultrasound-Guided Aspiration of Peritonsillar Abscess
Next Article in Special Issue
Promise and Implementation of Proteomic Prostate Cancer Biomarkers
Previous Article in Journal
Computer-Aided Diagnosis Scheme for Determining Histological Classification of Breast Lesions on Ultrasonographic Images Using Convolutional Neural Network
Article

Quantitative Analysis of Seven New Prostate Cancer Biomarkers and the Potential Future of the ‘Biomarker Laboratory’

1
Prostate Cancer Research Centre at the Centre for Stem Cells and Regenerative Medicine, King’s College London, London WC2R 2LS, UK
2
Prostate Cancer Research Centre, University College London, London WC1E 6BT, UK
3
Queen’s Medical Research Institute, University of Edinburgh, Edinburgh EH8 9YL, UK
4
Aquila BioMedical, Nine, Edinburgh BioQuarter, 9 Little France Road, Edinburgh EH16 4UX, UK
5
Head of Urology Research Laboratories, University of Leipzig, Department of Urology, Research Laboratory, Liebigstr. 19, Building C, 04103 Leipzig, Germany
6
Division of Gynecologic, Breast & Perinatal Pathology, University Hospital Leipzig, Liebigstasse 24 D, 04103 Leipzig, Germany
7
Department of Pathology, Portuguese Oncology Institute of Porto, 4200-072 Porto, Portugal
8
Department of Pathology and Molecular Immunology, Abel Salazar Institute of Biomedical Sciences, University of Porto, 4099-002 Porto, Portugal
9
Research Department of Cell and Developmental Biology, The Centre for Cell and Molecular Dynamics, Rockefeller Building, University College London, London WC1E 6BT, UK
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Diagnostics 2018, 8(3), 49; https://doi.org/10.3390/diagnostics8030049
Received: 25 May 2018 / Revised: 11 July 2018 / Accepted: 20 July 2018 / Published: 27 July 2018
(This article belongs to the Special Issue Diagnostic Biomarkers in Prostate Cancer)
Prostate cancer is the third highest cause of male mortality in the developed world, with the burden of the disease increasing dramatically with demographic change. There are significant limitations to the current diagnostic regimens and no established effective screening modality. To this end, research has discovered hundreds of potential ‘biomarkers’ that may one day be of use in screening, diagnosis or prognostication. However, the barriers to bringing biomarkers to clinical evaluation and eventually into clinical usage have yet to be realised. This is an operational challenge that requires some new thinking and development of paradigms to increase the efficiency of the laboratory process and add ‘value’ to the clinician. Value comes in various forms, whether it be a process that is seamlessly integrated into the hospital laboratory environment or one that can provide additional ‘information’ for the clinical pathologist in terms of risk profiling. We describe, herein, an efficient and tissue-conserving pipeline that uses Tissue Microarrays in a semi-automated process that could, one day, be integrated into the hospital laboratory domain, using seven putative prostate cancer biomarkers for illustration. View Full-Text
Keywords: biomarker discovery; tissue microarray; automated workflow; clinical management; morphology-guided analysis biomarker discovery; tissue microarray; automated workflow; clinical management; morphology-guided analysis
Show Figures

Figure 1

MDPI and ACS Style

Cao, K.; Arthurs, C.; Atta-ul, A.; Millar, M.; Beltran, M.; Neuhaus, J.; Horn, L.-C.; Henrique, R.; Ahmed, A.; Thrasivoulou, C. Quantitative Analysis of Seven New Prostate Cancer Biomarkers and the Potential Future of the ‘Biomarker Laboratory’. Diagnostics 2018, 8, 49. https://doi.org/10.3390/diagnostics8030049

AMA Style

Cao K, Arthurs C, Atta-ul A, Millar M, Beltran M, Neuhaus J, Horn L-C, Henrique R, Ahmed A, Thrasivoulou C. Quantitative Analysis of Seven New Prostate Cancer Biomarkers and the Potential Future of the ‘Biomarker Laboratory’. Diagnostics. 2018; 8(3):49. https://doi.org/10.3390/diagnostics8030049

Chicago/Turabian Style

Cao, Kevin, Callum Arthurs, Ali Atta-ul, Michael Millar, Mariana Beltran, Jochen Neuhaus, Lars-Christian Horn, Rui Henrique, Aamir Ahmed, and Christopher Thrasivoulou. 2018. "Quantitative Analysis of Seven New Prostate Cancer Biomarkers and the Potential Future of the ‘Biomarker Laboratory’" Diagnostics 8, no. 3: 49. https://doi.org/10.3390/diagnostics8030049

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop