bWhile the E2F transcription factors (E2Fs) have a clearly defined role in cell cycle control, recent work has uncovered new functions. Using genomic signature methods, we predicted a role for the activator E2F transcription factors in the mouse mammary tumor virus (MMTV)-polyomavirus middle T oncoprotein (PyMT) mouse model of metastatic breast cancer. To genetically test the hypothesis that the E2Fs function to regulate tumor development and metastasis, we interbred MMTV-PyMT mice with E2F1, E2F2, or E2F3 knockout mice. With the ablation of individual E2Fs, we noted alterations of tumor latency, histology, and vasculature. Interestingly, we noted striking reductions in metastatic capacity and in the number of circulating tumor cells in both the E2F1 and E2F2 knockout backgrounds. Investigating E2F target genes that mediate metastasis, we found that E2F loss led to decreased levels of vascular endothelial growth factor (Vegfa), Bmp4, Cyr61, Nupr1, Plod 2, P4ha1, Adamts1, Lgals3, and Angpt2. These gene expression changes indicate that the E2Fs control the expression of genes critical to angiogenesis, the remodeling of the extracellular matrix, tumor cell survival, and tumor cell interactions with vascular endothelial cells that facilitate metastasis to the lungs. Taken together, these results reveal that the E2F transcription factors play key roles in mediating tumor development and metastasis in addition to their well-characterized roles in cell cycle control.
Breast cancer remains a leading cause of death for women, with high mortality rates attributed to distant metastasis (1). To simplify the examination of signaling pathway requirements in metastatic breast cancer, research has turned to mouse model systems. Previous studies with mouse models of breast cancer have begun to reveal the mechanistic features of breast cancer metastasis, and in vivo selection has demonstrated the ability to select for tumors that metastasize to a specific location (2-5). Yet we lack a complete understanding of the pathways that govern the molecular circuitry of metastatic breast cancer. One model that has been integral in examining metastatic progression is the mouse mammary tumor virus (MMTV)-polyomavirus middle T oncoprotein (PyMT) model. Originally described as exhibiting rapid tumor onset and a high degree of pulmonary metastasis (6), this model has since been used to examine a number of facets of metastasis. For example, work using the MMTV-PyMT model led to the discovery of the prometastatic signaling exchange between tumors and macrophages (7). In addition, the metastatic contributions of individual signaling molecules, such as transforming growth factor  (TGF-), AKT, and adiponectin, have also been uncovered using this model (8-10). Given that PyMT can activate multiple signaling pathways with relevance to human breast cancer (11), there is clear utility in this model for characterizing pathways that contribute to breast cancer metastasis.The identification of signaling pathways contributing to tumor progression has bee...