Patient-derived breast tumor xenografts facilitating personalized cancer therapy.
Patient-derived breast tumor xenografts facilitating personalized cancer therapy.
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DOI：
10.1186/bcr3355
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发表时间：
2013-01-22
期刊：
影响因子：
--
通讯作者：
Chang JC
中科院分区：
文献类型：
--
作者：
Landis MD;Lehmann BD;Pietenpol JA;Chang JC
尽管近十年来乳腺癌相关死亡的检测有所改善并减少，但乳腺癌仍然是美国女性癌症死亡的第二大原因，仅 2012 年预计就有 39,510 名女性死于转移性疾病（美国癌症协会，Cancer Facts &Figures 2012。亚特兰大：美国癌症协会；2012）。基于基因表达谱和基因组测序对乳腺癌进行分类的持续努力揭示了该疾病潜在的复杂性和分子异质性，这继续对治疗干预提出挑战。为了成功地识别新的治疗方案并将其转化为临床，我们的临床前模型必须重现这种复杂性和异质性。在这篇综述文章中，我们讨论了源自患者的人乳腺肿瘤异种移植模型的开发和分类的最新进展，这些模型有可能促进基于乳腺肿瘤亚型的独特驱动信号通路的个性化癌症治疗的下一阶段药物发现。
Despite improved detection and reduction of breast cancer-related deaths over the recent decade, breast cancer remains the second leading cause of cancer death for women in the US, with 39,510 women expected to succumb to metastatic disease in 2012 alone (American Cancer Society, Cancer Facts &Figures 2012. Atlanta: American Cancer Society; 2012). Continued efforts in classification of breast cancers based on gene expression profiling and genomic sequencing have revealed an underlying complexity and molecular heterogeneity within the disease that continues to challenge therapeutic interventions. To successfully identify and translate new treatment regimens to the clinic, it is imperative that our preclinical models recapitulate this complexity and heterogeneity. In this review article, we discuss the recent advances in development and classification of patient-derived human breast tumor xenograft models that have the potential to facilitate the next phase of drug discovery for personalized cancer therapy based on the unique driver signaling pathways in breast tumor subtypes.
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影响因子：
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影响因子：
12.3
作者：
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DOI：
10.1073/pnas.1006732107
发表时间：
2010-10-19
影响因子：
11.1
作者：
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通讯作者：
Clarke, Michael F.
DOI：
10.1073/pnas.0401064101
发表时间：
2004-04-06
影响因子：
11.1
作者：
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通讯作者：
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