Abstract

The primary therapeutic goal for patients with locally recurrent, locally advanced, or metastatic breast cancer is retarding the progression of cancer for as long as possible, while minimizing side effects and maintaining good quality of life. The majority of breast cancers have nuclear receptors for estrogen (ER) and/or progesterone (PR) and utilize estrogen as a major growth factor. Antagonizing estrogen to control tumor growth has been achieved in two ways: by competing for the binding site of the estrogen receptor with anti-estrogens (SERMS) or by removing estrogen by inhibiting its synthesis with aromatase (estrogen synthetase) inhibitors (AIs). Cancer cells develop resistance to SERMS such as tamoxifen (Nolvadex®) or toremifene (Fareston®) by increasing uptake of estrogens from plasma, by developing hypersensitivity to the residual level of ER stimulation and by increasing levels of estrogen synthesizing enzymes, such as aromatase, within the tumor cells as much as 3–10 fold. High in-situ, intra- and peri-tumoral estrogen levels may displace the SERM and cause clinical progression of the disease. In contrast resistance to AI therapy may also develop by causing hypersensitivity to residual and exogenous estrogens. Hence it has been hypothesized that a combination of a SERM and an AI (total estrogen blockade) might be the optimal way to treat hormone dependent breast cancer and prevent the emergence of resistance. Combining tamoxifen (SERM) with an AI (anastrozole) was one of three arms of the Phase 3 adjuvant ATAC study comparing tamoxifen to anastrozole and the combination. Interestingly the combination arm performed worst of all, the hypothesis being that in the low estrogenic environment created by the AI, tamoxifen exaggerates its known partial estrogenic signal. It has been hypothesized that if a SERM with less inherent estrogenicity than tamoxifen were combined with an AI the therapy would be more successful. Similar to letrozole and tamoxifen combined in another trial, a 27% reduction in plasma levels of anastrozole was also detected. BioMedicines is currently testing that hypothesis in a clinical Phase 3 trial combining the experimental and currently unapproved AI atamestane and the approved SERM toremifene and comparing that combination to the approved AI letrozole. Toremifene is clinically equi-effective against tamoxifen in treatment naive patients, but is 40-fold less estrogenic in a low estrogen environment in preclinical models. Atamestane is a steroidal AI, which has shown a median time to progression of 8 months, with 10% of the patients progression-free at 36 months, in tamoxifen-resistant patients. It is well tolerated and may have advantages over the non-steroidal AI's in terms of efficacy and toxicity. Atamestane also does not interact pharmacologically with the toremifene. The control arm is letrozole, currently the most effective single agent endocrine therapy for postmenopausal women. Patients eligible for our study are required to have positive receptor status, have measurable tumor lesions and to have received the last dose of adjuvant hormonal therapy at least 12 months prior to enrollment. Our trial strategy is thus similar to the total androgen blockade approach to prostate cancer where this approach has been successful.

Highlights

  • The remarkable generation of scores of increasingly sophisticated mouse models of mammary cancer over the past two decades has provided tremendous insights into molecular derangements that can lead to cancer

  • We report that somatic mutations of p53 in mouse mammary epithelial cells lead to ERα-positive and ERαnegative tumors. p53 inactivation in pre-pubertal/pubertal mice, but not in adult mice, leads to the development of ERα-positive tumors, suggesting that developmental stages influence the availability of ERα-positive tumor origin cells

  • Genetic alterations commonly observed in human breast cancer including c-myc amplification and Her2/Neu/erbB2 activation were seen in these mouse tumors

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Summary

Mouse models of human breast cancer: evolution or convolution?

Transgenic Oncogenesis Group, Laboratory of Cell Regulation and Carcinogenesis, National Cancer Institute, Bethesda, Maryland, USA. The remarkable generation of scores of increasingly sophisticated mouse models of mammary cancer over the past two decades has provided tremendous insights into molecular derangements that can lead to cancer. The relationships of these models to human breast cancer, remain problematic. P53 inactivation in pre-pubertal/pubertal mice, but not in adult mice, leads to the development of ERα-positive tumors, suggesting that developmental stages influence the availability of ERα-positive tumor origin cells. These tumors have a high rate of metastasis that is independent of tumor latency. Since it is feasible to isolate ERα-positive epithelial cells from normal mammary glands and tumors, molecular mechanisms underlying ERα-positive and ERα-negative mammary carcinogenesis can be systematically addressed using this model

Mouse models for BRCA1-associated breast cancer
Genetic manipulation of the mammary gland by transplantation
The Mutant Mouse Regional Resource Center Program
11 Mammary pathology of the genetically engineered mouse
D Dugger
15 Role of animal models in oncology drug discovery
18 Clinical breast cancer and estrogen
19 Pregnancy levels of estrogen prevents breast cancer
21 The ErbB receptor tyrosine kinases and their roles in cancer
22 Predicting breast cancer behavior by microarray analysis
24 The comparative genetics and genomics of cancer: of mice and men
23 The molecular biology of mammary intraepithelial neoplasia outgrowths
28 Transgenic models are predictive: the herceptin and flavopiridol experience
31 Role of differentiation in carcinogenesis and cancer prevention
30 Genetically engineered mouse models of human breast cancer
34 Hormonal interactions during mammary gland development
35 Function of LEF1 in early mammary development
40 Imaging mouse models of breast cancer with positron emission tomography
42 Ultrasound imaging of tumor perfusion
D Medina
47 In situ to invasive carcinoma transition: escape or release
48 Regulation of human mammary stem cells
50 Stem cells in normal breast development and breast cancer
McKenzie
57 Genomic approaches to drug target discovery using mouse models
58 Target discovery in the postgenomic era
60 From gene expression patterns to antibody diagnostics
Findings
A Korman
Full Text
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