Local-dependency of morphological and optical properties between breast cancer cell lines

Spectrochim Acta A Mol Biomol Spectrosc. 2018 Dec 5:205:132-138. doi: 10.1016/j.saa.2018.07.024. Epub 2018 Jul 9.

Abstract

Breast cancer is the most malignant type of cancer in women and is a global health problem, with mortality by metastasis being the main factor among others. Currently, detection and diagnosis of breast cancer is achieved through a variety of procedures, such as clinical examination, medical imaging, biopsy, and histopathological analysis. In contrast, spectroscopic analysis has a variety of advantages such as being noninvasive, not destroying biological materials, and not requiring additional histological analysis. In this study, various approaches using Raman spectroscopy, atomic force microscopy (AFM), and optical microscopy were used together to differentiate between and characterize normal breast cell lines (MCF-10A) and breast cancer cell lines (MDA-MB-231, MDA-MB-453). Raman spectra of normal breast cell and breast cancer cell lines confirmed visual differences in the concentrations of various compounds. These spectra were also analyzed using principle component analysis (PCA), and the PCA results showed reliable separation of the three cell lines and the cancer cell lines (MDA-MB-231, MDA-MB-453). With these results, optically synchronizing the AFM morphology, the Raman spectroscopy, and the visible RGB optical transmission intensity provided contrasts for not only conformational differences but also intracellular variation between the normal and cancer cell lines. We observed the inherent characteristic that there is no local difference in cancer cells regardless of morphology in a wide range of optical properties such as absorption, scattering and inelastic scattering.

Keywords: Atomic force microscopy (AFM); Breast cancer cells; Optical microscopy; Principal component analysis (PCA); Raman spectroscopy.

MeSH terms

  • Breast Neoplasms / chemistry*
  • Breast Neoplasms / classification*
  • Cell Line, Tumor / chemistry*
  • Cell Line, Tumor / classification*
  • Female
  • Humans
  • Image Processing, Computer-Assisted
  • MCF-7 Cells
  • Microscopy, Atomic Force
  • Principal Component Analysis
  • Signal Processing, Computer-Assisted
  • Spectrum Analysis, Raman