拉曼光谱
乳腺癌
可靠性(半导体)
免疫组织化学
乳腺肿瘤
计算机科学
癌症
医学
内科学
肿瘤科
物理
光学
量子力学
功率(物理)
作者
Lintao Li,Junjie Li,Xianliang Wang,Shun Lü,Juan Ji,Yin Guo,Huaichao Luo,Ting Wang,Xin Zhang,Dongsheng Wang
标识
DOI:10.1002/jbio.202300287
摘要
Given the significant therapeutic efficacy of anti-HER-2 treatment, the HER-2 status is a crucial piece of information that must be obtained in breast cancer patients. Currently, as per guidelines, HER-2 status is typically acquired from breast tissue of patients. However, there is growing interest in obtaining HER-2 status from serum and other samples due to the convenience and potential for dynamic monitoring. In this study, we have developed a serum Raman spectroscopy technique that allows for the rapid acquisition of HER-2 status in a convenient manner. The established HER-2 negative and positive classification model achieved an Area Under the Curve of 0.8334. To further validate the reliability of our method, we replicated the process using immunohistochemistry and in situ hybridization. The results demonstrate that serum Raman spectroscopy, coupled with artificial intelligence algorithms, is an effective technical approach for obtaining HER-2 status. This article is protected by copyright. All rights reserved.
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