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Characterization of Mammary Tumors Arising from MMTV-PyVT Transgenic Mice

  • Chien Liang Liu
  • , Wen Chien Huang
  • , Shih Ping Cheng
  • , Ming Jen Chen
  • , Chi Hsin Lin
  • , Shao Chiang Chang
  • , Yuan Ching Chang*
  • *Corresponding author for this work
  • Mackay Memorial Hospital Taiwan
  • Chung Yuan Christian University

Research output: Contribution to journalJournal Article peer-review

3 Scopus citations

Abstract

Among genetically engineered mouse models of breast cancer, MMTV-PyVT is a mouse strain in which the oncogenic polyoma virus middle T antigen is driven by the mouse mammary tumor virus promoter. The aim of the present study was to perform morphologic and genetic analyses of mammary tumors arising from MMTV-PyVT mice. To this end, mammary tumors were obtained at 6, 9, 12, and 16 weeks of age for histology and whole-mount analyses. We conducted whole-exome sequencing to identify constitutional and tumor-specific mutations, and genetic variants were identified using the GRCm38/mm10 mouse reference genome. Using hematoxylin and eosin analysis and whole-mount carmine alum staining, we demonstrated the progressive proliferation and invasion of mammary tumors. Frameshift insertions/deletions (indels) were noted in the Muc4. Mammary tumors showed small indels and nonsynonymous single-nucleotide variants but no somatic structural alterations or copy number variations. In summary, we validated MMTV-PyVT transgenic mice as a multistage model for mammary carcinoma development and progression. Our characterization may be used as a reference for guidance in future research.

Original languageEnglish
Pages (from-to)4518-4528
Number of pages11
JournalCurrent Issues in Molecular Biology
Volume45
Issue number6
DOIs
StatePublished - 24 05 2023

Bibliographical note

Publisher Copyright:
© 2023 by the authors.

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

Keywords

  • MMTV-PyVT mice
  • breast cancer
  • whole-exome sequencing

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