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

• Main Authors: Kevin Cao, Callum Arthurs, Ali Atta-ul, Michael Millar, Mariana Beltran, Jochen Neuhaus, Lars-Christian Horn, Rui Henrique, Aamir Ahmed, Christopher Thrasivoulou
• Format: Article
• Language: English
• Published: MDPI AG 2018-07-01
• Series: Diagnostics
• Subjects: biomarker discovery; tissue microarray; automated workflow; clinical management; morphology-guided analysis
• Online Access: http://www.mdpi.com/2075-4418/8/3/49

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.