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Metastasis is responsible for 90% of human cancer mortality, yet it remains a challenge to model human cancer metastasis in vivo. Here we describe mouse models of high-grade serous ovarian cancer, also known as high-grade serous carcinoma (HGSC), the most common and deadliest human ovarian cancer type. Mice genetically engineered to harbor Dicer1 and Pten inactivation and mutant p53 robustly replicate the peritoneal metastases of human HGSC with complete penetrance. Arising from the fallopian tube, tumors spread to the ovary and metastasize throughout the pelvic and peritoneal cavities, invariably inducing hemorrhagic ascites. Widespread and abundant peritoneal metastases ultimately cause mouse deaths (100%). Besides the phenotypic and histopathological similarities, mouse HGSCs also display marked chromosomal instability, impaired DNA repair, and chemosensitivity. Faithfully recapitulating the clinical metastases as well as molecular and genomic features of human HGSC, this murine model will be valuable for elucidating the mechanisms underlying the development and progression of metastatic ovarian cancer and also for evaluating potential therapies.

Estrogen receptors ERalpha and ERbeta, members of the nuclear receptor superfamily, exert profound effects on the gene expression and biological response programs of their target cells. Herein, we explore the dynamic interplay between these two receptors in their selection of chromatin binding sites when present separately or together in MCF-7 breast cancer cells. Treatment of cells (containing ERalpha only, ERbeta only, or ERalpha and ERbeta) with estradiol or ER subtype-selective ligands was followed by chromatin immunoprecipitation analysis with a custom-designed tiling array for ER binding sites across the genome to examine the effects of ligand-occupied and unoccupied ERalpha and ERbeta on chromatin binding. There was substantial overlap in binding sites for these estradiol-liganded nuclear receptors when present alone, but many fewer sites were shared when both ERs were present. Each ER restricted the binding site occupancy of the other, with ERalpha generally being dominant. Binding sites of both receptors were highly enriched in estrogen response element motifs, but when both ERs were present, ERalpha displaced ERbeta, shifting it into new sites less enriched in estrogen response elements. Binding regions of the two ERs also showed differences in their enrichments for other transcription factor binding motifs. Studies with ER subtype-specific ligands revealed that it was the liganded subtype that principally determined the spectrum of chromatin binding. These findings highlight the dynamic interplay between the two ERs in their selection of chromatin binding sites, with competition, restriction, and site shifting having important implications for the regulation of gene expression by these two nuclear receptors.

Estrogen receptors alpha and beta (ERalpha and ERbeta) mediate the actions of estrogens in a variety of normal and cancer target cells. Estrogens differ in their preference for these ERs, and many phytoestrogens bind preferentially to ERbeta. To investigate how phytoestrogens such as genistein impact ER-regulated gene expression, we used adenoviral gene delivery of ERbeta coupled with ERalpha depletion with small interfering RNA to generate human breast cancer (MCF-7) cells expressing four complements of ERalpha and ERbeta. We examined the dose-dependent effects of genistein on genome-wide gene expression by DNA microarrays and monitored the recruitment of ERs and coregulators to responsive regions of estrogen-regulated genes. At a low (6 nm) concentration, genistein regulated gene expression much more effectively in cells coexpressing ERalpha and ERbeta than in cells expressing ERalpha alone, whereas at high concentration (300 nm), genistein induced transcriptome changes very similar to that of 17beta-estradiol. We demonstrate that ERbeta is preferentially activated by genistein and is recruited to estrogen-responsive genomic sites and that differential occupancy of ERalpha and ERbeta by genistein and 17beta-estradiol in turn influences the recruitment patterns of coregulators such as steroid receptor coactivator 3 (SRC3) and receptor-interacting protein 140 (RIP140). Our observations indicate that genistein is a potency-selective ligand for gene expression regulation by ERalpha and ERbeta and that the ability of ERalpha and ERbeta to serve as determinants of gene expression is greatly influenced by the nature of the ligand, by ligand dose, and by the differential abilities of ligand-ER complexes to recruit different coregulators at ER binding sites of hormone-regulated genes.

Two subtypes of the estrogen receptor (ER), ERalpha and ERbeta, mediate the actions of estrogens, and although 70% of human breast cancers express ERbeta along with ERalpha, little is known about the possible comodulatory effects of these two ERs. To investigate this, we have used adenoviral gene delivery to produce human breast cancer (MCF-7) cells expressing different levels of ERbeta, along with their endogenous ERalpha, and have examined the effects of ERbeta and receptor occupancy, using ER subtype selective ligands, on genome-wide gene expression by microarray and pathway network analysis. ERbeta had diverse effects on gene expression, enhancing or counteracting ERalpha regulation for distinct subsets of estrogen target genes. Strikingly, ERbeta in the absence of estradiol (E2), elicited the stimulation or suppression of many genes that were normally only regulated by ERalpha with E2. In addition, ERbeta plus E2 elicited the expression of a unique group of genes that were not regulated by ERalpha plus E2 alone. The expression of genes in many functional categories were modulated by ERbeta, with the greatest numbers associated with transcription factors and signal transduction pathways. Regulation of multiple components in the TGFbeta and semaphorin pathways, and of genes controlling cell cycle progression and apoptosis, may contribute to the suppression of cell proliferation observed with ERbeta. Our observations suggest that the relative levels of ERbeta and ERalpha in breast cancers are likely to impact cell proliferation and the activities of diverse signaling pathways and their response to ER ligands and endocrine therapies.