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Does the molecular classification of breast cancer point the way for biomarker identification in prostate cancer?

World Journal of Clinical Urology 2016年第2期5卷 80-89页

作者： William JF Green Graham Ball des powe Department of Urology Nottingham City Hospital Nottingham University Hospitals NHS Trust the John van Geest Cancer Research Centre Nottingham Trent University Department of Cellular Pathology Queen’s Medical Centre Nottingham University Hospitals NHS Trust

There is significant variation in clinical outcome between patients diagnosed with prostate cancer(Ca P). Although useful, statistical nomograms and risk stratification tools alone do not always accurately predict an individual's need for and response to treatment. The factors that determine this variation are not fully elucidated. In particular, cellular response to androgen ablation and subsequent paracrine/autocrine adaptation is poorly understood and despite best therapies, median survival in castrate resistant patients is only approximately 35 mo. We propose that one way of understanding this is to look for correlates in other comparable malignancies, such as breast cancer, where markers of at least 4 distinct gene clusters coding for 4 different phenotypic subtypes have been identified. These subtypes have been shown to demonstrate prognostic significance and successfully guide appropriate treatment regimens. In this paper we assess and review the evidence demonstrating parallels in the biology and treatment approach between breast and Ca P, and consider the feasibility of patients with Ca P being stratified into different molecular classes that could be used to complement prostate specific antigen and histological grading for clinical decision making. We show that there are significant correlations between the molecular classification of breast and Ca P and explain how techniques used successfully to predict response to treatment in breast cancer can be applied to the prostate. Molecular phenotyping is possible in Ca P and identification of distinct subtypes may allow personalised risk stratification way beyond that currently available.

关键词： Prostate cancer Molecular classification Biomarker Breast cancer Prognostic

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