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Metabolomic-Based Stratification in Prostate Cancer

  • Chapter
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Precision Molecular Pathology of Prostate Cancer

Part of the book series: Molecular Pathology Library ((MPLB))

Abstract

Prostate cancer is a complex disease characterized by significant molecular heterogeneity and different clinical outcomes. Metabolic reprogramming is crucial for cancer cells to provide energy fuel and building blocks needed to sustain high proliferative rates and antagonize cell death signals. This chapter introduces some of the most common genetic alterations relevant to the pathogenesis of prostate cancer and proposes metabolomics as a tool to stratify this disease into molecularly and clinically diverse subtypes. The prevalent metabolic alterations in prostate cancer will be discussed with a particular focus on the link between driving oncogenes and cancer metabolism rewiring. In addition, we will tackle the potential use of metabolic profiling to predict disease behavior and to identify novel therapeutic targets and diagnostic tools.

Many different platforms are currently employed in the global assessment of metabolic changes, including but not limited to mass spectrometry (MS) and nuclear magnetic resonance (NMR). Current state-of-the-art techniques to study global metabolic alterations will be also described in this chapter.

Finally, we will discuss the feasibility to use metabolomics in formalin-fixed paraffin-embedded samples as an untapped opportunity to characterize patients with long-term follow-up.

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Authors and Affiliations

  1. Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, USA

    Stefano Cacciatore Ph.D., Giorgia Zadra Ph.D. & Massimo Loda M.D.

  2. Institute of Reproductive and Developmental Biology, Imperial College London, London, England, UK

    Stefano Cacciatore Ph.D.

  3. Department of Pathology, Brigham and Women’s Hospital, Boston, MA, USA

    Giorgia Zadra Ph.D. & Massimo Loda M.D.

  4. The Broad Institute, Boston, MA, USA

    Massimo Loda M.D.

  5. Division of Cancer Studies, King’s College London, London, England, UK

    Massimo Loda M.D.

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  1. Stefano Cacciatore Ph.D.
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  2. Giorgia Zadra Ph.D.
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  3. Massimo Loda M.D.
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Correspondence to Massimo Loda M.D. .

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Editors and Affiliations

  1. Pathology and Laboratory Medicine, New York-Presbyterian Hospital, Weill Cornell Medical College, New York, New York, USA

    Brian D. Robinson

  2. Pathology and Laboratory Medicine, New York-Presbyterian Hospital, Weill Cornell Medical College, New York, New York, USA

    Juan Miguel Mosquera

  3. Institute for Academic Medicine, Houston Methodist Hospital Pathology and Genomic Medicine, Weill Medical College of Cornell University, Houston, Texas, USA

    Jae Y. Ro

  4. Institute for Academic Medicine, Houston Methodist Hospital Pathology and Genomic Medicine, Weill Medical College of Cornell University, Houston, Texas, USA

    Mukul Divatia

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Cacciatore, S., Zadra, G., Loda, M. (2018). Metabolomic-Based Stratification in Prostate Cancer. In: Robinson, B., Mosquera, J., Ro, J., Divatia, M. (eds) Precision Molecular Pathology of Prostate Cancer. Molecular Pathology Library. Springer, Cham. https://doi.org/10.1007/978-3-319-64096-9_15

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