Conventional assays such as immunohistochemistry (IHC) and in situ hybridization (ISH) used in clinical procedures for quantification of the human epidermal growth factor receptor-2 (HER2) status in breast cancer have many limitations. In the current study, we have used HER2 expression in a broad range of breast cancer phenotypes to explore the potential utility of a novel immunodetection technique using Raman spectroscopy and Raman imaging combined with artificial intelligence models. The correlations between the Raman method and conventional HER2 testing methodologies (IHC and ISH) have been tested. Raman measurements showed a strong linear correlation (p = 0.05, R(2)=0,9816) with IHC analysis in the studied breast cell lines: MCF-10A, MCF-7, MDA-MB-231, HTB-30 (SK-BR-3), and AU-565 represent normal, nontumorigenic epithelial cells, triple-positive breast carcinoma, and triple-negative breast cancer cell lines. Analytic testing of Raman spectroscopy and Raman imaging demonstrated that this method may offer advantages over the currently used diagnostic methodologies.
A Novel HER2 Protein Identification Methodology in Breast Cancer Cells Using Raman Spectroscopy and Raman Imaging: An Analytical Validation Study.
利用拉曼光谱和拉曼成像技术鉴定乳腺癌细胞中HER2蛋白的新方法:分析验证研究
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作者:Abramczyk Halina, Surmacki Jakub Maciej, KopeÄ Monika
| 期刊: | Journal of Medicinal Chemistry | 影响因子: | 6.800 |
| 时间: | 2024 | 起止号: | 2024 Oct 10; 67(19):17629-17639 |
| doi: | 10.1021/acs.jmedchem.4c01591 | 研究方向: | 细胞生物学 |
| 疾病类型: | 乳腺癌 | ||
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