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A Transcriptional Study of Oncogenes and Tumor Suppressors Altered by Copy Number Variations in Ovarian Cancer

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Innovation in Medicine and Healthcare

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 192))

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Abstract

The most popular approach to explain cancer is based on the discovery of oncogenes and tumor suppressor genes as a preliminary step in estimating their impact on altered pathways. The present paper proposes a pipeline which aims at detecting “weak” or “indirect” functions impacted by Copy Number Variations (CNVs) of cancer-related genes, integrating such signals over all known oncogenes/tumor suppressor genes of a cancer type. We applied the pipeline to the task of detecting the aberrant functional effects of these alterations across ovarian cancer patients from The Cancer Genome Atlas (TCGA) data.

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Author information

Authors and Affiliations

  1. Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, Italy

    Giorgia Giacomini

  2. Department of Information Engineering, University of Florence, Florence, Italy

    Gabriele Ciravegna

  3. Institute of Informatics and Telematics, CNR, Pisa, Italy

    Giorgia Giacomini, Marco Pellegrini & Romina D’Aurizio

  4. Department of Information Engineering and Mathematics, University of Siena, Siena, Italy

    Giorgia Giacomini, Gabriele Ciravegna & Monica Bianchini

Authors
  1. Giorgia Giacomini
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  2. Gabriele Ciravegna
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  3. Marco Pellegrini
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  4. Romina D’Aurizio
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  5. Monica Bianchini
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Corresponding author

Correspondence to Giorgia Giacomini .

Editor information

Editors and Affiliations

  1. College of Information Science and Engineering, Ritsumeikan University, Kusuatsu, Shiga, Japan

    Yen-Wei Chen

  2. College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan

    Satoshi Tanaka

  3. Bournemouth University, Poole, UK

    Robert J. Howlett

  4. Faculty of Engineering and Information Technology, University of Technology Sydney, Broadway, NSW, Australia

    Lakhmi C. Jain

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© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Giacomini, G., Ciravegna, G., Pellegrini, M., D’Aurizio, R., Bianchini, M. (2020). A Transcriptional Study of Oncogenes and Tumor Suppressors Altered by Copy Number Variations in Ovarian Cancer. In: Chen, YW., Tanaka, S., Howlett, R., Jain, L. (eds) Innovation in Medicine and Healthcare. Smart Innovation, Systems and Technologies, vol 192. Springer, Singapore. https://doi.org/10.1007/978-981-15-5852-8_15

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