In Vivo Models for Prostate Cancer Research.
In Vivo Models for Prostate Cancer Research.
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这篇综述探讨了目前发表在文献中的前列腺癌的体内模型，重点是最近提出的前列腺癌小鼠模型。研究人员目前所掌握的关于这些模型的信息对于他们希望从未来的研究中获得的信息至关重要。因此，重要的是，目前发表在文献中的各种模型系统地汇集在一起。随着本综述中提供的各种类型的前列腺癌模型的优点和缺点，结合它们与不同信号通路和肿瘤进展阶段的关系，研究人员可以解决与前列腺癌发展相关的模型或感兴趣的基因最适合他们未来研究的问题。据估计，到2022年，前列腺癌（PCa）将成为美国男性中最常诊断的癌症--据估计，到2022年将有近27万美国男性被诊断患有PCa。这篇综述比较和对比了前列腺癌的体内模型，包括与每个模型相关的改变的基因、信号通路和肿瘤进展阶段。本文主要介绍基因工程小鼠模型，包括条件性基因敲除模型和组成性基因敲除模型。还包括2D细胞系、3D类器官和球状体、异种移植物和同种异体移植物以及患者来源的模型。每种模型的主要应用、优点和缺点以及易用性和成本都是独一无二的，但它们都使将小鼠前列腺中观察到的肿瘤进展转化为人类前列腺变得更容易。虽然人类和小鼠前列腺都是雄激素依赖性的，但小鼠中天然的、遗传上未改变的前列腺不会引起癌的事实是PCa模型的特别关键的组成部分。由于小鼠和人类基因组之间的相似性，我们对PCa的了解已经扩大，并将继续这样做，通过PCa模型。
This review explores in vivo models of prostate cancer currently published in the literature, with the focus on the prostate cancer mouse models that have recently been proposed. The information that researchers currently have about such models is critical for the information that they hope to obtain from future studies. Therefore, it is important that the various models currently published in the literature are systematically brought together. With the benefits and drawbacks of various types of prostate cancer models provided in this review, combined with their relationships to different signaling pathways and stages of tumor progression, the researcher may tackle the question of which model or gene of interest associated with the development of prostate cancer bests suits their future studies. In 2022, prostate cancer (PCa) is estimated to be the most commonly diagnosed cancer in men in the United States—almost 270,000 American men are estimated to be diagnosed with PCa in 2022. This review compares and contrasts in vivo models of PCa with regards to the altered genes, signaling pathways, and stages of tumor progression associated with each model. The main type of model included in this review are genetically engineered mouse models, which include conditional and constitutive knockout model. 2D cell lines, 3D organoids and spheroids, xenografts and allografts, and patient derived models are also included. The major applications, advantages and disadvantages, and ease of use and cost are unique to each type of model, but they all make it easier to translate the tumor progression that is seen in the mouse prostate to the human prostate. Although both human and mouse prostates are androgen-dependent, the fact that the native, genetically unaltered prostate in mice cannot give rise to carcinoma is an especially critical component of PCa models. Thanks to the similarities between the mouse and human genome, our knowledge of PCa has been expanded, and will continue to do so, through models of PCa.
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影响因子：
30.8
作者：
Carver, Brett S.;Tran, Jennifer;Gopalan, Anuradha;Chen, Zhenbang;Shaikh, Safa;Carracedo, Arkaitz;Alimonti, Andrea;Nardella, Caterina;Varmeh, Shohreh;Scardino, Peter T.;Cordon-Cardo, Carlos;Gerald, William;Pandolfi, Pier Paolo
通讯作者：
Pandolfi, Pier Paolo
影响因子：
50.3
作者：
Chen M;Pratt CP;Zeeman ME;Schultz N;Taylor BS;O'Neill A;Castillo-Martin M;Nowak DG;Naguib A;Grace DM;Murn J;Navin N;Atwal GS;Sander C;Gerald WL;Cordon-Cardo C;Newton AC;Carver BS;Trotman LC
通讯作者：
Trotman LC
影响因子：
4.7
作者：
Clohessy JG;Pandolfi PP
通讯作者：
Pandolfi PP
影响因子：
2.8
作者：
Adissu, Hibret A.;McKerlie, Colin;Wood, Geoffrey A.
通讯作者：
Wood, Geoffrey A.
影响因子：
11.5
作者：
Carver, Brett S.;Pandolfi, Pier P.
通讯作者：
Pandolfi, Pier P.