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Prediction of Clinical Endpoints in Breast Cancer Using NMR Metabolic Profiles

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Book cover Cancer Systems Biology

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1711))

Abstract

Metabolic profiles reflect biological conditions as a result of biochemical changes within a living system. It is therefore possible to associate metabolic signatures with clinical endpoints of diseases, such as breast cancer. Nuclear magnetic resonance (NMR) spectroscopy is one of the most common techniques used for metabolic profiling, and produces high dimensional datasets from which meaningful biological information can be extracted. Here, we present an overview of data analysis techniques used to achieve this, describing key steps in the procedure. Moreover, examples of clinical endpoints of interest are provided. Although these are specific for breast cancer, the procedures for the analysis of NMR spectra as described here are applicable to any type of cancer and to other diseases.

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Author notes

  1. Leslie R. Euceda and Tonje H. Haukaas contributed equally to this work.

Authors and Affiliations

  1. Department of Circulation and Medical Imaging - MR Center, Faculty of Medicine and Health Sciences, NTNU - Norwegian University of Science and Technology, Postboks 8905, MTFS, 7489, Trondheim, Norway

    Leslie R. Euceda, Tonje H. Haukaas, Tone F. Bathen & Guro F. Giskeødegård

  2. St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway

    Guro F. Giskeødegård

Authors
  1. Leslie R. Euceda
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  2. Tonje H. Haukaas
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  3. Tone F. Bathen
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  4. Guro F. Giskeødegård
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Corresponding author

Correspondence to Guro F. Giskeødegård .

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Editors and Affiliations

  1. NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark

    Louise von Stechow

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Euceda, L.R., Haukaas, T.H., Bathen, T.F., Giskeødegård, G.F. (2018). Prediction of Clinical Endpoints in Breast Cancer Using NMR Metabolic Profiles. In: von Stechow, L. (eds) Cancer Systems Biology. Methods in Molecular Biology, vol 1711. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7493-1_9

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  • DOI: https://doi.org/10.1007/978-1-4939-7493-1_9

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7492-4

  • Online ISBN: 978-1-4939-7493-1

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