A new mouse model for the study of human breast cancer metastasis.
A new mouse model for the study of human breast cancer metastasis.
复制标题
用于研究人类乳腺癌转移的新小鼠模型。
DOI：
10.1371/journal.pone.0047995
复制
发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Lippman M
中科院分区：
文献类型：
--
作者：
Iorns E;Drews-Elger K;Ward TM;Dean S;Clarke J;Berry D;El Ashry D;Lippman M
乳腺癌是妇女中最常见的癌症，这种发病率对全世界的健康产生重大影响。局部乳腺癌预后良好，5年相对生存率为85%。然而，对于远处转移的女性，生存率下降到只有23%。迄今为止，由于缺乏可靠的转移模型，对乳腺癌转移的研究一直受到阻碍。在这里，我们描述了一种新的体内模型，使用NOD scid γ (NSG)小鼠的人类乳腺癌异种移植；在这个模型中，人类乳腺癌细胞可靠地从乳腺脂肪垫内生长的原发肿瘤转移到远处器官。该模型能够从合适的解剖部位研究整个转移过程，为研究乳腺癌转移机制提供了一种重要的新方法。我们使用这个模型来鉴定与原发性乳腺脂肪垫肿瘤相关的转移部位的基因表达变化。通过比较多个转移部位和独立细胞系，我们已经确定了几个基因表达变化，这些变化可能对远处肿瘤的生长很重要。
Breast cancer is the most common cancer in women, and this prevalence has a major impact on health worldwide. Localized breast cancer has an excellent prognosis, with a 5-year relative survival rate of 85%. However, the survival rate drops to only 23% for women with distant metastases. To date, the study of breast cancer metastasis has been hampered by a lack of reliable metastatic models. Here we describe a novel in vivo model using human breast cancer xenografts in NOD scid gamma (NSG) mice; in this model human breast cancer cells reliably metastasize to distant organs from primary tumors grown within the mammary fat pad. This model enables the study of the entire metastatic process from the proper anatomical site, providing an important new approach to examine the mechanisms underlying breast cancer metastasis. We used this model to identify gene expression changes that occur at metastatic sites relative to the primary mammary fat pad tumor. By comparing multiple metastatic sites and independent cell lines, we have identified several gene expression changes that may be important for tumor growth at distant sites.
登录
查看更多内容
影响因子：
15.8
作者：
Lee TH;Seng S;Sekine M;Hinton C;Fu Y;Avraham HK;Avraham S
通讯作者：
Avraham S
影响因子：
11.2
作者：
Kuperwasser, C;Dessain, S;Rosenblatt, M
通讯作者：
Rosenblatt, M
影响因子：
3.7
作者：
Wang, Feng;Yang, Yong-Zhi;Qin, Huan-Long
通讯作者：
Qin, Huan-Long
影响因子：
11.5
作者：
Bayliss, Jill;Hilger, Amy;El Ashry, Dorraya
通讯作者：
El Ashry, Dorraya
影响因子：
50.3
作者：
Kang, YB;Siegel, PM;Massagué, J
通讯作者：
Massagué, J