Transcriptomic classification of genetically engineered mouse models of breast cancer identifies human subtype counterparts.

BACKGROUND: Human breast cancer is a heterogeneous disease consisting of multiple molecular subtypes. Genetically engineered mouse models are a useful resource for studying mammary cancers in vivo under genetically controlled and immune competent conditions. Identifying murine models with conserved human tumor features will facilitate etiology determinations, highlight the effects of mutations on pathway activation, and should improve preclinical drug testing. RESULTS: Transcriptomic profiles of 27 murine models of mammary carcinoma and normal mammary tissue were determined using gene expression microarrays. Hierarchical clustering analysis identified 17 distinct murine subtypes. Cross-species analyses using three independent human breast cancer datasets identified eight murine classes that resemble specific human breast cancer subtypes. Multiple models were associated with human basal-like tumors including TgC3(1)-Tag, TgWAP-Myc and Trp53-/-. Interestingly, the TgWAPCre-Etv6 model mimicked the HER2-enriched subtype, a group of human tumors without a murine counterpart in previous comparative studies. Gene signature analysis identified hundreds of commonly expressed pathway signatures between linked mouse and human subtypes, highlighting potentially common genetic drivers of tumorigenesis. CONCLUSIONS: This study of murine models of breast carcinoma encompasses the largest comprehensive genomic dataset to date to identify human-to-mouse disease subtype counterparts. Our approach illustrates the value of comparisons between species to identify murine models that faithfully mimic the human condition and indicates that multiple genetically engineered mouse models are needed to represent the diversity of human breast cancers. The reported trans-species associations should guide model selection during preclinical study design to ensure appropriate representatives of human disease subtypes are used.

Tissue-specific pathways for estrogen regulation of ovarian cancer growth and metastasis.

Menopausal estrogen (E2) replacement therapy increases the risk of estrogen receptor (ER)-positive epithelial ovarian cancers (EOC). Whether E2 is tumorigenic or promotes expansion of undiagnosed preexisting disease is unknown. To determine E2 effects on tumor promotion, we developed an intraperitoneal mouse xenograft model using ZsGreen fluorescent ER(-) 2008 and ER(+) PEO4 human EOC cells. Tumor growth was quantified by in vivo fluorescent imaging. In ER(+) tumors, E2 significantly increased size, induced progesterone receptors, and promoted lymph node metastasis, confirming that ERs are functional and foster aggressiveness. Laser-captured human EOC cells from ER(-) and ER(+) xenografted tumors were profiled for expression of E2-regulated genes. Three classes of E2-regulated EOC genes were defined, but <10% were shared with E2-regulated breast cancer genes. Because breast cancer selective ER modulators (SERM) are therapeutically ineffective in EOC, we suggest that our EOC-specific E2-regulated genes can assist pharmacologic discovery of ovarian-targeted SERM.

Growth outcome during GnRH agonist treatments for slowly progressive central precocious puberty.

BACKGROUND: Gonadotropin-releasing hormone agonists (GnRHa) represent the gold-standard treatment for central precocious puberty (CPP). In CPP children, GnRHa treatment slows bone age progression and preserves adult height (Ht) by suppressing sexual steroid secretion. In some patients, however, GnRHa induce an inappropriate growth deceleration impairing Ht outcome. Furthermore, slowly progressive CPP (spCPP) forms were reported which do not need GnRHa treatment. METHODS: We evaluated the growth outcome of 26 spCPP girls treated with triptorelin (TR) and 21 with leuprorelin acetate (LA) for 36.5 +/- 0.7 months. RESULTS: GnRHa treatment induced a progressive growth deceleration in both spCPP groups. No difference in bone maturation was detected (p > 0.05; TR vs. LA group), however compared to LA, TR treatment resulted in significantly higher Ht after 24 months (p < 0.05; LA vs. TR group). Although target height (TH) standard deviation score (SDS) and predicted adult height (PAH)-SDS at diagnosis were similar in both spCPP groups (p > 0.05; LA vs. TR group), final height (FH-SDS) was lower in LA-treated subjects (p < 0.05; LA vs. TR group). In both spCPP groups, FH-SDS was significantly lower than TH-SDS (p < 0.001) but not lower than PAH-SDS at diagnosis (p > 0.05). Ht-SDS correlated with 17beta-estradiol (E(2)) blood levels in both spCPP groups (p < 0.0001) throughout GnRHa treatment, and E(2) values were higher in the TR- than in the LA-treated patients during the 12 months after GnRHa administration (p < 0.05; LA vs. TR group). GnRHa-induced E(2) secretion and Ht-SDS at GnRHa withdrawal correlated positively with FH (p < 0.01 and p < 0.001, respectively). CONCLUSIONS: The effectiveness of GnRHa treatment in improving FH in spCPP girls was doubtful.

Rare steroid receptor-negative basal-like tumorigenic cells in luminal subtype human breast cancer xenografts.

There are two major subtypes of human breast cancers: the luminal, estrogen, and progesterone receptor-positive, cytokeratin 18-positive (ER(+)PR(+)CK18(+)) subtype, and the basal ER(-)PR(-)CK18(-)CK5(+) subtype. Tumor-initiating cells (CD44(+)) have been described for human breast cancers; whether these are common to the two subtypes is unknown. We have identified a rare population of cells that are both CD44(+) and ER(-)PR(-)CK5(+) in luminal-like ER(+)PR(+) T47D human breast tumor xenografts. The tumor-isolated CD44(+) cell fraction was highly enriched for clonogenic (in vitro culture) and tumorigenic (in vivo reimplantation) cells compared with the CD44(-) cell fraction. Rare ER(-)PR(-)CK5(+) cells were present within CD44(+)-derived colonies. Tumor-isolated cells placed in minimal media also contained rare ER(-)PR(-)CK5(+) cells at early time points (<10 cells); however, this population did not expand with increasing colony size. The number of ER(+)PR(+)CK5(-) cells, conversely, increased linearly with colony growth. Similary, tumors originating in vivo from CD44(+) cells contained a rare static ER(-)PR(-)CK5(+) population, an intermediate ER(-)PR(-)CK5(-) population, and an expanding ER(+)PR(+)CK5(-) population. Putative ER(+)PR(+)CK5(+) transitional cells could be seen only in colonies or tumors treated with a progestin. We propose that luminal ER(+)PR(+) breast tumors contain a minor ER(-)PR(-)CK5(+) population that has the capacity to generate the majority of ER(+)PR(+)CK18(+)CK5(-) cells. Luminal breast cancers are treated with endocrine therapies that target ER. The rare ER(-)PR(-)CK5(+) progenitor cells would escape such treatments and survive to repopulate the tumor.

Contaminating cells alter gene signatures in whole organ versus laser capture microdissected tumors: a comparison of experimental breast cancers and their lymph node metastases.

Genome-wide expression profiling has expedited our molecular understanding of the different subtypes of breast cancers, as well as defined the differences among genes expressed in primary tumors and their metastases. Laser-capture microdissection (LCM) coupled to gene expression analysis allows us to understand how specific cell types contribute to the total cancer gene expression signature. Expression profiling was used to define genes that contribute to breast cancer spread into and/or growth within draining lymph nodes (LN). Whole tumor xenografts and their matched whole LN metastases were compared to LCM captured cancer cells from the same tumors and matched LN metastases. One-thousand nine-hundred thirty genes were identified by the whole organ method alone, and 1,281 genes by the LCM method alone. However, less than 1% (30 genes) of genes that changed between tumors and LN metastases were common to both methods. Several of these genes have previously been implicated in cancer aggressiveness. Our data show that whole-organ and LCM based gene expression profiling yield distinctly different lists of metastasis-promoting genes. Contamination of the tumor cells, and cross reactivity of mouse RNA to human-specific chips may explain these differences, and suggests that LCM-derived data may be more accurate.

Estrogen insensitivity in a model of estrogen receptor positive breast cancer lymph node metastasis.

The lymphatic system is a common avenue for the spread of breast cancer cells and dissemination through it occurs at least as frequently as hematogenous metastasis. Approximately 75% of primary breast cancers are estrogen receptor (ER) positive and the majority of these maintain receptor expression as lymph node (LN) metastases. However, it is unknown if ER function is equivalent in cancer cells growing in the breast and in the LNs. We have developed a model to assess estrogen responsiveness in ER(+) breast tumors and LN metastases. Fluorescent ER(+) MCF-7 tumors were grown in ovariectomized nude mice supplemented with estradiol. Once axillary LN metastasis arose, estradiol was withdrawn (EWD), for 1 or 4 weeks, or continued, to assess estradiol responsiveness. On EWD, proliferation rates fell similarly in tumors and LN metastases. However, estradiol-dependent ER down-regulation and progesterone receptor induction were deficient in LN metastases, indicating that ER-dependent transcriptional function was altered in the LN. Cancer cells from estradiol-treated and EWD primary tumors and matched LN metastases were isolated by laser capture microdissection. Global gene expression profiling identified transcripts that were regulated by the tissue microenvironment, by hormones, or by both. Interestingly, numerous genes that were estradiol regulated in tumors lost estradiol sensitivity or were regulated in the opposite direction by estradiol in LN metastases. We propose that the LN microenvironment alters estradiol signaling and may contribute to local antiestrogen resistance.

Thyroid outcome during long-term gonadotropin-releasing hormone agonist treatments for idiopathic precocious puberty.

PURPOSE: To examine the effects of long-term gonadotropin-releasing hormone agonist (GnRHa) administration on thyroid function in children affected by central precocious puberty (CPP). METHODS: We retrospectively evaluated circulating thyroid hormones in 73 GnRHa-treated girls who were diagnosed with idiopathic CPP. Monthly depot injections (.1 mg/body kg) of leuprorelin acetate (LA) and of triptorelin (TR) were continuously administered for 40.4 +/- .7 months to 34 and 39 CPP patients, respectively. Serum levels of thyrotropin (TSH), free triiodothyronine (FT3), free thyroxine (FT4), and thyroid antibodies were determined at baseline and after 6, 12, 18, 24, 30, 36, and 40 months of GnRHa administration. RESULTS: While there was no difference in FT4 release (p > .05), FT3 levels significantly declined during both LA and TR treatments from untreated baseline (p < .05). Opposite to circulating FT4 and FT3 values (p > .05), FT3/FT4 ratio was significantly different among LA and TR groups (p < .05). Both GnRHa treatments did not affect TSH secretion (p > .05); however, LA induced lower TSH values than TR (p < .05). CONCLUSIONS: There is no evidence of thyroid dysfunction during both GnRHa treatments, though changes in TSH, FT3, and FT3/FT4 ratios were noted. Finally, monitoring of thyroid activity during GnRHa administration is not required.

Estrogen receptor positive breast cancer metastasis: altered hormonal sensitivity and tumor aggressiveness in lymphatic vessels and lymph nodes.

Breast cancers commonly spread to lymph nodes (LNs). If the primary tumors are estrogen receptor (ER) and/or progesterone receptor (PR) positive, then the likelihood that LN metastases express receptors exceeds 80%. However, due to lack of ER+ models, little is known about the role of hormones in breast cancer spread or the effects of the LN microenvironment on hormone responsiveness. We have developed metastasis models using ZsGreen labeled MCF-7 and T47D human breast cancer cells. Tumors are tracked in living mice by whole-body imaging, and macrometastases or micrometastases are detected by intravital imaging or fluorescence microscopy. Tumor growth is estrogen dependent and required for intratumoral lymphangiogenesis. Seventy-five percent of all tumors and >95% of larger tumors generate LN metastases. Occasionally more distant metastases are also observed. "Triads" of primary tumors, tumor-filled draining lymphatic vessels, and tumor-filled LNs from the same mouse show that (a) proliferation, as measured by 5-bromo-2'-deoxyuridine uptake, is higher in the LN than in the primary tumor. (b) High ER levels are extensively down-regulated by estradiol in primary tumors. However, there is partial failure of ER down-regulation in LNs associated with (c) reduced PR expression. This suggests that ER are dysfunctional in the LN microenvironment and perhaps hormone resistant. (d) CD44 is sparsely expressed in primary tumor cells but homogeneously overexpressed in cells transiting the lymphatics and populating LNs. We hypothesize that CD44 expression targets tumor cells for transport to, and uptake in, LNs. If so, the CD44 pathway could be targeted therapeutically to slow or prevent LN metastases.

Human breast milk and xenoestrogen exposure: a possible impact on human health.

Human milk is the best natural and optimal food for neonates with several immunologic, developmental and practical advantages throughout childhood. Although the World Health Organization strongly supports breastfeeding, it recognizes the potential health risks posed by the presence of environmental toxicants in breast milk. Contamination of human milk is widespread and due to decades of inadequately controlled pollution by toxicants, persistent pesticides or chemical solvents. These chemicals tend to degrade slowly in the environment, to bioaccumulate in the food chain and to have long half-lives in humans. Many of these environmental pollutants have estrogen-like activities and, thus they are called environmental estrogen disruptors or xenoestrogens. Certain adverse health and reproductive outcomes are attributed to these chemicals in laboratory animals and in wildlife as well as in humans. Here, we review available data from breast milk monitoring studies suggesting the environmental chemicals that may affect child health through breastfeeding.