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Xenograft as In Vivo Experimental Model

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Cancer Stem Cells

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1692))

Abstract

The identification of experimental models that recapitulate human cancers designed to predict patient clinical response to therapies is a major break in oncology. Cancer stem cells (CSCs) represent a small tumor cell population responsible for drug resistance, where their effective killing may lead to identifying better treatment options. While the CSCs hypothesis highlights the need for a specific tumor target, patient-derived xenografts (PDXs) should also be considered for drug development as they better represent tumor heterogeneity and the environment in which a tumor develops.

Manuela Porru and Luca Pompili are co-authors to this work.

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Acknowledgment

This work was supported by a grant from Italian Association for Cancer Research AIRC IG #18637 to C. Leonetti.

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Authors and Affiliations

  1. Experimental Chemotherapy Laboratory, UOSD SAFU, Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144, Rome, Italy

    Manuela Porru, Luca Pompili & Carlo Leonetti

  2. University of Tuscia, Viterbo, Italy

    Luca Pompili & Carla Caruso

Authors
  1. Manuela Porru
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  2. Luca Pompili
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  3. Carla Caruso
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  4. Carlo Leonetti
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Corresponding author

Correspondence to Carlo Leonetti .

Editor information

Editors and Affiliations

  1. Department of Experimental Medicine, University of Campania “Luigi Vanvitelli”, Naples, Italy

    Gianpaolo Papaccio

  2. Department of Experimental Medicine, University of Campania “Luigi Vanvitelli”, Naples, Italy

    Vincenzo Desiderio

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Porru, M., Pompili, L., Caruso, C., Leonetti, C. (2018). Xenograft as In Vivo Experimental Model. In: Papaccio, G., Desiderio, V. (eds) Cancer Stem Cells. Methods in Molecular Biology, vol 1692. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7401-6_9

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  • DOI: https://doi.org/10.1007/978-1-4939-7401-6_9

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7400-9

  • Online ISBN: 978-1-4939-7401-6

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