Convenient determination of serum HER‐2 status in breast cancer patients using Raman spectroscopy

Author:

Li Lintao1ORCID,Li Junjie2,Wang Xianliang1,Lu Shun1,Ji Juan3,Yin Gang1,Luo Huaichao4,ting Wang1,Xin Zhang56,Wang Dongsheng4

Affiliation:

1. Department of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center Affiliated Cancer Hospital of University of Electronic Science and Technology of China Chengdu China

2. Department of Mammary Gland Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center Affiliated Cancer Hospital of University of Electronic Science and Technology of China Chengdu China

3. Department of Pathology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center Affiliated Cancer Hospital of University of Electronic Science and Technology of China Chengdu China

4. Department of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center Affiliated Cancer Hospital of University of Electronic Science and Technology of China Chengdu China

5. School of Pharmacy, Macau University of Science and Technology Taipa Macau China

6. State Key Laboratory for Quality Research of Chinese Medicine Macau University of Science and Technology Taipa Macau China

Abstract

AbstractGiven 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.

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,General Biochemistry, Genetics and Molecular Biology,General Materials Science,General Chemistry

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