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Imaging in Clinical Oncology pp 71–78Cite as

Introduction to Radiogenomics

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Abstract

Gene expression profiling of human tissues produces a better understanding of normal cellular pathways and pathological conditions at a biomolecular level. In oncology, this has led to better understanding of tumor genesis and gene expression signatures, involving anywhere from a few dozens to hundreds of genes. This has in turn improved classification and subclassification of tumors and prediction of treatment response [1]. In this respect, gene expression profiling is an attempt to organize cancer into molecular subtypes [2]. In clinical practice, imaging is used to survey high-risk patients identified as such by their genotype as, for example, in patients with BRCA1 and BRCA2 mutations who are at high risk for developing breast cancer. Radiogenomics correlates imaging characteristics of disease (image-phenotype or “radio”-phenotype) with genome-related characteristics (genomics) such as gene expression patterns and gene mutations [1, 3].

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Authors and Affiliations

  1. Harvard Medical School, Boston, MA, USA

    Vassilios Raptopoulos & Leo Tsai

  2. Department of Radiology, Beth Israel Deaconess Medical Center, Boston, MA, USA

    Vassilios Raptopoulos & Leo Tsai

Authors
  1. Vassilios Raptopoulos
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  2. Leo Tsai
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Correspondence to Vassilios Raptopoulos .

Editor information

Editors and Affiliations

  1. School of Medicine, National and Kapodistrian, University of Athens, Athens, Greece

    Athanasios D. Gouliamos

  2. Imaging Department, Hygeia and Mitera Hospitals, Athens, Greece

    John A. Andreou

  3. Medical Oncologist, Head, Medical Oncology Department, Hygeia Hospital, Athens, Greece

    Paris A. Kosmidis

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Raptopoulos, V., Tsai, L. (2018). Introduction to Radiogenomics. In: Gouliamos, A., Andreou, J., Kosmidis, P. (eds) Imaging in Clinical Oncology. Springer, Cham. https://doi.org/10.1007/978-3-319-68873-2_6

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  • DOI: https://doi.org/10.1007/978-3-319-68873-2_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68872-5

  • Online ISBN: 978-3-319-68873-2

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