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MMTV-PyMT及衍生的Met-1小鼠乳腺肿瘤细胞作为研究雄激素受体在三阴性乳腺癌进展中作用的模型

MMTV-PyMT and Derived Met-1 Mouse Mammary Tumor Cells as Models for Studying the Role of the Androgen Receptor in Triple-Negative Breast Cancer Progression.

作者信息

Christenson Jessica L, Butterfield Kiel T, Spoelstra Nicole S, Norris John D, Josan Jatinder S, Pollock Julie A, McDonnell Donald P, Katzenellenbogen Benita S, Katzenellenbogen John A, Richer Jennifer K

机构信息

Department of Pathology, University of Colorado, Anschutz Medical Campus, 12800 E. 19th Ave., Aurora, CO, 80045, USA.

Department of Pharmacology and Cancer Biology, Duke University, 450 Research Drive, Durham, NC, 27708, USA.

出版信息

Horm Cancer. 2017 Apr;8(2):69-77. doi: 10.1007/s12672-017-0285-6. Epub 2017 Feb 13.

Abstract

Triple-negative breast cancer (TNBC) has a faster rate of metastasis compared to other breast cancer subtypes, and no effective targeted therapies are currently FDA-approved. Recent data indicate that the androgen receptor (AR) promotes tumor survival and may serve as a potential therapeutic target in TNBC. Studies of AR in disease progression and the systemic effects of anti-androgens have been hindered by the lack of an AR-positive (AR+) immunocompetent preclinical model. In this study, we identified the transgenic MMTV-PyMT (mouse mammary tumor virus-polyoma middle tumor-antigen) mouse mammary gland carcinoma model of breast cancer and Met-1 cells derived from this model as tools to study the role of AR in breast cancer progression. AR protein expression was examined in late-stage primary tumors and lung metastases from MMTV-PyMT mice as well as in Met-1 cells by immunohistochemistry (IHC). Sensitivity of Met-1 cells to the AR agonist dihydrotestosterone (DHT) and anti-androgen therapy was examined using cell viability, migration/invasion, and anchorage-independent growth assays. Late-stage primary tumors and lung metastases from MMTV-PyMT mice and Met-1 cells expressed abundant nuclear AR protein, while negative for estrogen and progesterone receptors. Met-1 sensitivity to DHT and AR antagonists demonstrated a reliance on AR for survival, and AR antagonists inhibited invasion and anchorage-independent growth. These data suggest that the MMTV-PyMT model and Met-1 cells may serve as valuable tools for mechanistic studies of the role of AR in disease progression and how anti-androgens affect the tumor microenvironment.

摘要

与其他乳腺癌亚型相比,三阴性乳腺癌(TNBC)的转移速度更快,目前尚无FDA批准的有效靶向治疗方法。最新数据表明,雄激素受体(AR)可促进肿瘤存活,可能是TNBC的一个潜在治疗靶点。由于缺乏AR阳性(AR+)的具有免疫活性的临床前模型,阻碍了对AR在疾病进展和抗雄激素全身效应方面的研究。在本研究中,我们确定了转基因MMTV-PyMT(小鼠乳腺肿瘤病毒-多瘤中间肿瘤抗原)小鼠乳腺癌模型以及源自该模型的Met-1细胞,作为研究AR在乳腺癌进展中作用的工具。通过免疫组织化学(IHC)检测了MMTV-PyMT小鼠晚期原发性肿瘤和肺转移灶以及Met-1细胞中的AR蛋白表达。使用细胞活力、迁移/侵袭和非锚定依赖性生长试验检测了Met-1细胞对AR激动剂二氢睾酮(DHT)和抗雄激素治疗的敏感性。MMTV-PyMT小鼠的晚期原发性肿瘤和肺转移灶以及Met-1细胞表达丰富的核AR蛋白,而雌激素和孕激素受体为阴性。Met-1对DHT和AR拮抗剂的敏感性表明其生存依赖于AR,并且AR拮抗剂抑制侵袭和非锚定依赖性生长。这些数据表明,MMTV-PyMT模型和Met-1细胞可能是研究AR在疾病进展中的作用以及抗雄激素如何影响肿瘤微环境的有价值工具。

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本文引用的文献

1
Androgen receptor antagonists compromise T cell response against prostate cancer leading to early tumor relapse.
Sci Transl Med. 2016 Apr 6;8(333):333ra47. doi: 10.1126/scitranslmed.aad5659.
3
Single-cell analysis reveals a stem-cell program in human metastatic breast cancer cells.
Nature. 2015 Oct 1;526(7571):131-5. doi: 10.1038/nature15260. Epub 2015 Sep 23.
5
Multiple molecular subtypes of triple-negative breast cancer critically rely on androgen receptor and respond to enzalutamide in vivo.
Mol Cancer Ther. 2015 Mar;14(3):769-78. doi: 10.1158/1535-7163.MCT-14-0926. Epub 2015 Feb 23.
8
The soft agar colony formation assay.
J Vis Exp. 2014 Oct 27(92):e51998. doi: 10.3791/51998.

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