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Patient-derived mouse models of cancer need to be orthotopic in order to evaluate targeted anti-metastatic therapy

  • Yukihiko Hiroshima
  • , Ali Maawy
  • , Yong Zhang
  • , Nan Zhang
  • , Takashi Murakami
  • , Takashi Chishima
  • , Kuniya Tanaka
  • , Yasushi Ichikawa
  • , Michael Bouvet
  • , Itaru Endo
  • , Robert M. Hoffman

Research output: Contribution to journal › Article › peer-review

Abstract

Patient-derived xenograft (PDX) mouse models of cancer are emerging as an important component of personalized precision cancer therapy. However, most models currently offered to patients have their tumors subcutaneously-transplanted in immunodeficient mice, which rarely metastasize. In contrast, orthotopic-transplant patient-derived models, termed patient-derived orthotopic xenografts (PDOX), usually metastasize as in the patient. We demonstrate in the present report why orthotopic models are so important for the patient, since primary and metastatic tumors developed in an orthotopic model can have differential chemosensitivity, not detectable in standard subcutaneous tumor models. A subcutaneous nude mouse model of HER-2 expressing cervical carcinoma was not sensitive to entinostat (a benzamide histone deactylase inhibitor), which also did not inhibit primary tumor growth in a PDOX model of the same tumor. However, in the PDOX model, entinostat alone significantly reduced the metastatic tumor burden, compared to the control. Thus, only the PDOX model could be used to discover the anti-metastatic activity of entinostat for this patient. The results of the present report indicate the importance of using mouse models that can recapitulate metastatic cancer for precisely individualizing cancer therapy.

Original languageEnglish
Pages (from-to)71696-71702
Number of pages7
JournalOncotarget
Volume7
Issue number44
DOIs
Publication statusPublished - 2016
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Oncology

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