Classification of proliferative pulmonary lesions of the mouse: recommendations of the mouse models of human cancers consortium.
Document Type
Article
Publication Date
2004
Keywords
Disease-Models-Animal, Human, Lung-Neoplasms, Mice
First Page
2307
Last Page
2316
JAX Source
Cancer Res 2004 Apr; 64(7):2307-16.
Abstract
Rapid advances in generating new mouse genetic models for lung neoplasia provide a continuous challenge for pathologists and investigators. Frequently, phenotypes of new models either have no precedents or are arbitrarily attributed according to incongruent human and mouse classifications. Thus, comparative characterization and validation of novel models can be difficult. To address these issues, a series of discussions was initiated by a panel of human, veterinary, and experimental pathologists during the Mouse Models of Human Cancers Consortium (NIH/National Cancer Institute) workshop on mouse models of lung cancer held in Boston on June 20-22, 2001. The panel performed a comparative evaluation of 78 cases of mouse and human lung proliferative lesions, and recommended development of a new practical classification scheme that would (a) allow easier comparison between human and mouse lung neoplasms, (b) accommodate newly emerging mouse neoplasms, and (c) address the interpretation of benign and preinvasive lesions of the mouse lung. Subsequent discussions with additional experts in pulmonary pathology resulted in the current proposal of a new classification. It is anticipated that this classification, as well as the complementary digital atlas of virtual histological slides, will help investigators and pathologists in their characterization of new mouse models, as well as stimulate further research aimed at a better understanding of proliferative lesions of the lung.
Recommended Citation
Nikitin AY,
Alcaraz A,
Anver MR,
Bronson RT,
Cardiff RD,
Dixon D,
Fraire AE,
Gabrielson EW,
Gunning WT,
Haines DC,
Kaufman MH.
Classification of proliferative pulmonary lesions of the mouse: recommendations of the mouse models of human cancers consortium. Cancer Res 2004 Apr; 64(7):2307-16.