A Novel HER2 Protein Identification Methodology in Breast Cancer Cells Using Raman Spectroscopy and Raman Imaging: An Analytical Validation Study.
Halina AbramczykJakub Maciej SurmackiMonika KopecPublished in: Journal of medicinal chemistry (2024)
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.
Keyphrases
- raman spectroscopy
- breast cancer cells
- artificial intelligence
- epidermal growth factor receptor
- high resolution
- machine learning
- deep learning
- endothelial cells
- tyrosine kinase
- big data
- poor prognosis
- advanced non small cell lung cancer
- binding protein
- high throughput
- fluorescence imaging
- mass spectrometry
- climate change
- small molecule
- human health
- protein protein
- sensitive detection
- photodynamic therapy
- neural network