Literature DB >> 10713680

The mammary pathology of genetically engineered mice: the consensus report and recommendations from the Annapolis meeting.

R D Cardiff1, M R Anver, B A Gusterson, L Hennighausen, R A Jensen, M J Merino, S Rehm, J Russo, F A Tavassoli, L M Wakefield, J M Ward, J E Green.   

Abstract

NIH sponsored a meeting of medical and veterinary pathologists with mammary gland expertise in Annapolis in March 1999. Rapid development of mouse mammary models has accentuated the need for definitions of the mammary lesions in genetically engineered mice (GEM) and to assess their usefulness as models of human breast disease. The panel of nine pathologists independently reviewed material representing over 90% of the published systems. The GEM tumors were found to have: (1) phenotypes similar to those of non-GEM; (2) signature phenotypes specific to the transgene; and (3) some morphological similarities to the human disease. The current mouse mammary and human breast tumor classifications describe the majority of GEM lesions but unique morphologic lesions are found in many GEM. Since little information is available on the natural history of GEM lesions, a simple morphologic nomenclature is proposed that allows direct comparisons between models. Future progress requires rigorous application of guidelines covering pathologic examination of the mammary gland and the whole animal. Since the phenotype of the lesions is an essential component of their molecular pathology, funding agencies should adopt policies ensuring careful morphological evaluation of any funded research involving animal models. A pathologist should be part of each research team.

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Year:  2000        PMID: 10713680     DOI: 10.1038/sj.onc.1203277

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


  218 in total

Review 1.  The basic pathology of human breast cancer.

Authors:  E Mallon; P Osin; N Nasiri; I Blain; B Howard; B Gusterson
Journal:  J Mammary Gland Biol Neoplasia       Date:  2000-04       Impact factor: 2.673

2.  Genes involved in breast cancer progression: analysis of global changes in gene expression or retroviral tagging?

Authors:  Emmett V Schmidt
Journal:  Am J Pathol       Date:  2002-12       Impact factor: 4.307

3.  Tumorigenesis in mice carrying a truncating Brca1 mutation.

Authors:  T Ludwig; P Fisher; S Ganesan; A Efstratiadis
Journal:  Genes Dev       Date:  2001-05-15       Impact factor: 11.361

4.  Natural history of tumor growth and immune modulation in common spontaneous murine mammary tumor models.

Authors:  Ekram Gad; Lauren Rastetter; Meredith Slota; Marlese Koehnlein; Piper M Treuting; Yushe Dang; Sasha Stanton; Mary L Disis
Journal:  Breast Cancer Res Treat       Date:  2014-11-14       Impact factor: 4.872

5.  Bisphenol A increases mammary cancer risk in two distinct mouse models of breast cancer.

Authors:  Kristen Weber Lozada; Ruth A Keri
Journal:  Biol Reprod       Date:  2011-06-02       Impact factor: 4.285

6.  Live tissue intrinsic emission microscopy using multiphoton-excited native fluorescence and second harmonic generation.

Authors:  Warren R Zipfel; Rebecca M Williams; Richard Christie; Alexander Yu Nikitin; Bradley T Hyman; Watt W Webb
Journal:  Proc Natl Acad Sci U S A       Date:  2003-05-19       Impact factor: 11.205

Review 7.  Animal models of bone metastasis.

Authors:  Thomas J Rosol; Sarah H Tannehill-Gregg; Stephanie Corn; Abraham Schneider; Laurie K McCauley
Journal:  Cancer Treat Res       Date:  2004

8.  Inducible expression of FGF-3 in mouse mammary gland.

Authors:  Elly S W Ngan; Zhi-Qing Ma; Steven S Chua; Francesco J DeMayo; Sophia Y Tsai
Journal:  Proc Natl Acad Sci U S A       Date:  2002-08-08       Impact factor: 11.205

9.  Pathology Principles and Practices for Analysis of Animal Models.

Authors:  Sue E Knoblaugh; Tobias M Hohl; Krista M D La Perle
Journal:  ILAR J       Date:  2018-12-01

10.  Role of prostaglandin E2-dependent angiogenic switch in cyclooxygenase 2-induced breast cancer progression.

Authors:  Sung-Hee Chang; Catherine H Liu; Rebecca Conway; David K Han; Kasem Nithipatikom; Ovidiu C Trifan; Timothy F Lane; Timothy Hla
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-19       Impact factor: 11.205

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