对小鼠乳腺肿瘤生成的有机体进行数字液滴 PCR 分析,证明了捕捉肿瘤异质性的概念验证

Katherine E. Lake, Megan M. Colonnetta, Clayton A. Smith, Kaitlyn Saunders, Kenneth Martinez-Algarin, Sakshi Mohta, Jacob Pena, Heather L Mcarthur, Sangeetha M. Reddy, E. R. Roussos Torres, Elizabeth Chen, Isaac S. Chan
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引用次数: 0

摘要

乳腺癌转移灶表现出许多不同的基因改变,包括拷贝数扩增(CNA)。CNA 是与乳腺癌临床实践日益相关的基因改变。在这里,我们利用公开数据集鉴定了转移性乳腺肿瘤样本中的 CNA,并利用转移性乳腺癌小鼠模型描述了它们的表达和功能。我们的研究结果表明,我们的类器官生成技术可用于研究反映个体肿瘤遗传异质性的临床相关特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital droplet PCR analysis of organoids generated from mouse mammary tumors demonstrates proof-of-concept capture of tumor heterogeneity
Breast cancer metastases exhibit many different genetic alterations, including copy number amplifications (CNA). CNA are genetic alterations that are increasingly becoming relevant to breast oncology clinical practice. Here we identify CNA in metastatic breast tumor samples using publicly available datasets and characterize their expression and function using a metastatic mouse model of breast cancer. Our findings demonstrate that our organoid generation can be implemented to study clinically relevant features that reflect the genetic heterogeneity of individual tumors.
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