The quantitative detection of total HER2 load by quantum dots and the identification of a new subtype of breast cancer with different 5-year prognosis
The quantitative detection of total HER2 load by quantum dots and the identification of a new subtype of breast cancer with different 5-year prognosis
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DOI：
10.1016/j.biomaterials.2010.07.091
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发表时间：
2010-11-01
期刊：
影响因子：
14
通讯作者：
Li, Yan
中科院分区：
文献类型：
--
作者：
Chen, Chuang;Xia, He-Shun;Li, Yan
准确的分类是乳腺癌(BC)个性化护理的基础。目前的BC分类无论是基于传统的形态分期还是基于分子特征，都不能很好地揭示BC侵袭性进化的“真实”行为。一种结合宏观和微观病理信息的合适的方法可能在学术上和临床上都更有用。在这里，我们探索了一种整体方法，将BC的关键分子预后指标HER2与基于量子点(QDS)的纳米技术和光谱分析的定量测定相结合，以及关键的宏观病理指标肿瘤大小，从而产生一个新的指标，总HER2负荷。这一指标可能更好地揭示BC的异质性以及与现有方法相比具有不同5年无病生存期的BC新亚型，有助于制定更个性化的BC靶向治疗方案。此外，这种结合宏观和微观病理指标的模式可能有助于对侵袭性BC生物学行为的新认识。(C)2010爱思唯尔有限公司。保留所有权利。
Accurate classification is fundamental for breast cancer (BC) personalized care. Current BC classification based on the either traditional morphological staging or molecular signatures seems inefficient to reveal the "true" behaviors of invasive BC evolution. An appropriate approach combining the macro- and micro-pathologic information might be more useful academically as well as clinically. Here we explore a holistic approach by integrating a key molecular prognostic indicator of BC, HER2, with quantitative determination using quantum dots (QDs)-based nanotechnology and spectral analysis, and a key macro-pathologic indicator, tumor size, resulting a new indicator, total HER2 load. This indicator might better reveal BC heterogeneity and new subtypes of BC with different 5-year disease-free survival compared with current methods, which could be helpful in formulating a more personalized targeted therapy for BC. Furthermore, this mode integrating macro- and micro-pathological indicators might help gain new insights into invasive BC biological behaviors. (C) 2010 Elsevier Ltd. All rights reserved.