Attenuated total reflectance spectroscopy to diagnose skin cancer and to distinguish different metastatic potential of melanoma cell

Cancer Biomark. 2018;23(3):373-380. doi: 10.3233/CBM-181393.

Abstract

Early diagnosing of skin cancer and investigation of metastatic potential of cancer cells are very important to treat it appropriately. Infrared spectroscopy of biological tissues is an emerging technique which gives the spectral differences between healthy and diseased cells. In this work, we have demonstrated that attenuated total reflectance Fourier transform (ATR-FTIR) spectroscopy can be used in diagnostic of skin cancer and in differentiating metastatic potential of cancer cells. Using IR spectroscopy, we can identify various types of cancer such as basal cell carcinoma, malignant melanoma, nevus and metastatic potential by alternations in hydration level and molecular changes. We examined biopsy of different types of cancer cells to diagnose skin cancer at early stages by using FTIR spectroscopy. To differentiate metastases we examined two human melanoma cells of same patient but at different metastatic potential and two murine melanoma cells with common genetic background but different metastatic potential. Our findings revealed that melanoma changes the permeability of cell membrane and higher metastatic potential is related to the hydration level of cell membrane. Thus, ATR-FTIR spectroscopy is a potential technique to help in early diagnosing of skin cancer and to differentiate different metastatic potentials.

Keywords: ATR-FTIR; Metastatic; melanoma; spectroscopy.

MeSH terms

  • Animals
  • Biomarkers, Tumor
  • Biopsy
  • Carcinoma, Basal Cell / diagnosis*
  • Carcinoma, Basal Cell / pathology
  • Cell Line, Tumor
  • Diagnosis, Differential
  • Early Detection of Cancer
  • Humans
  • Melanoma / classification
  • Melanoma / diagnosis*
  • Melanoma / pathology
  • Melanoma, Experimental / pathology
  • Mice
  • Neoplasm Metastasis
  • Nevus / diagnosis
  • Nevus / pathology
  • Skin Neoplasms / classification
  • Skin Neoplasms / diagnosis*
  • Skin Neoplasms / pathology
  • Spectroscopy, Fourier Transform Infrared*

Substances

  • Biomarkers, Tumor