Challenges and advances in mouse modeling for human pancreatic tumorigenesis and metastasis.
Challenges and advances in mouse modeling for human pancreatic tumorigenesis and metastasis.
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DOI：
10.1007/s10555-012-9408-2
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发表时间：
2013-06
影响因子：
9.2
通讯作者：
Su, Gloria H.
中科院分区：
文献类型：
--
作者：
Qiu, Wanglong;Su, Gloria H.
胰腺癌对发达国家来说至关重要，在这些国家，胰腺癌的诊断率每年都在稳步上升。在过去的十年中，胰腺癌研究的进展并没有对胰腺癌死亡率的下降做出贡献--总体5年生存率仍然保持在大约5%的低水平。这一数字只强调了我们更好地了解胰腺癌发生的生物学特征、开发早期检测方法和改进新的治疗方法的明显紧迫性。为了实现这些目标，忠实地概括人类胰腺癌整个过程的动物模型是取得进展的核心。本文就目前已有的胰腺癌动物模型及胰腺癌动物模型的研究进展作一综述。我们比较和对比了这些模型的三个主要类别的优缺点：(1)致癌物诱导；(2)异种和同种移植；(3)基因工程小鼠模型。我们更关注基因工程小鼠模型，这一类别最近因其模拟人类胰腺癌和转移的能力而迅速扩大，并强调这些模型与各种新开发的策略和细胞谱系标记系统的组合。
Pancreatic cancer is critical for developed countries, where its rate of diagnosis has been increasing steadily annually. In the past decade, the advances of pancreatic cancer research have not contributed to the decline in mortality rates from pancreatic cancer—the overall 5-year survival rate remains about 5% low. This number only underscores an obvious urgency for us to better understand the biological features of pancreatic carcinogenesis, to develop early detection methods, and to improve novel therapeutic treatments. To achieve these goals, animal modeling that faithfully recapitulates the whole process of human pancreatic cancer is central to making the advancements. In this review, we summarize the currently available animal models for pancreatic cancer and the advances in pancreatic cancer animal modeling. We compare and contrast the advantages and disadvantages of three major categories of these models: (1) carcinogen-induced; (2) xenograft and allograft; and (3) genetically engineered mouse models. We focus more on the genetically engineered mouse models, a category which has been rapidly expanded recently for their capacities to mimic human pancreatic cancer and metastasis, and highlight the combinations of these models with various newly developed strategies and cell-lineage labeling systems.
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影响因子：
2.2
作者：
Amoh, Y;Li, LN;Bouvet, M
通讯作者：
Bouvet, M
影响因子：
2.4
作者：
Brayton, C. F.;Treuting, P. M.;Ward, J. M.
通讯作者：
Ward, J. M.
影响因子：
5.6
作者：
Aurisicchio, Luigi;Marra, Emanuele;Ciliberto, Gennaro
通讯作者：
Ciliberto, Gennaro
影响因子：
64.5
作者：
ALMOGUERA, C;SHIBATA, D;PERUCHO, M
通讯作者：
PERUCHO, M
影响因子：
4
作者：
Amoh, Yasuyuki;Bouvet, Michael;Hoffman, Robert M.
通讯作者：
Hoffman, Robert M.