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Expert Review of Molecular Diagnostics
Article . 2009 . Peer-reviewed
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MMTV mouse models and the diagnostic values of MMTV-like sequences in human breast cancer

Authors: Pankaj, Taneja; Donna P, Frazier; Robert D, Kendig; Dejan, Maglic; Takayuki, Sugiyama; Fumitake, Kai; Neetu K, Taneja; +1 Authors

MMTV mouse models and the diagnostic values of MMTV-like sequences in human breast cancer

Abstract

Mouse mammary tumor virus (MMTV) long terminal repeat (LTR)-driven transgenic mice are excellent models for breast cancer as they allow for the targeted expression of various oncogenes and growth factors in neoplastic transformation of mammary glands. Numerous MMTV-LTR-driven transgenic mouse models of breast cancer have been created in the past three decades, including MMTV-neu/ErbB2, cyclin D1, cyclin E, Ras, Myc, int-1 and c-rel. These transgenic mice develop mammary tumors with different latency, histology and invasiveness, reflecting the oncogenic pathways activated by the transgene. Recently, homologous sequences of the env gene of MMTV have been identified in approximately 40% of human breast cancers, but not in normal breast or other types of cancers, suggesting possible involvement of mammary tumor virus in human breast carcinogenesis. Accumulating evidence demonstrates the association of MMTV provirus with progesterone receptor, p53 mutations and advanced-stage breast cancer. Thus, the detection of MMTV-like sequences may have diagnostic value to predict the clinical outcome of breast cancer patients.

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Keywords

Breast Neoplasms, Mammary Neoplasms, Animal, Mice, Transgenic, Genes, p53, Models, Biological, Gene Expression Regulation, Neoplastic, Mice, Cell Transformation, Neoplastic, Treatment Outcome, Mammary Tumor Virus, Mouse, Molecular Diagnostic Techniques, Animals, Humans, Receptors, Progesterone, Signal Transduction

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
69
Top 10%
Top 10%
Top 10%
bronze