Correlation between human colon cancer specific antigens and Raman spectra. Attempting to use Raman spectroscopy in the determination of tumor markers for colon cancer

Depciuch J., Jakubczyk P., Paja W., Pancerz K., Wosiak A., Kula-Maximenko M., ...Daha Fazla

Nanomedicine: Nanotechnology, Biology, and Medicine, cilt.48, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 48
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1016/j.nano.2023.102657
  • Dergi Adı: Nanomedicine: Nanotechnology, Biology, and Medicine
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, Biotechnology Research Abstracts, Chemical Abstracts Core, Compendex, EMBASE, INSPEC, MEDLINE
  • Anahtar Kelimeler: CEACAM-1, Colon cancer, ICAM-1, Machine learning, Raman spectroscopy
  • İstanbul Üniversitesi Adresli: Evet

Özet

© 2023Colorectal cancer is the second most common cause of cancer-related deaths worldwide. To follow up on the progression of the disease, tumor markers are commonly used. Here, we report serum analysis based on Raman spectroscopy to provide a rapid cancer diagnosis with tumor markers and two new cell adhesion molecules measured using the ELİSA method. Raman spectra showed higher Raman intensities at 1447 cm−1 1560 cm−1, 1665 cm-1, and 1769 cm−1, which originated from CH2 proteins and lipids, amide II and amide I, and C[dbnd]O lipids vibrations. Furthermore, the correlation test showed, that only the CEA colon cancer marker correlated with the Raman spectra. Importantly, machine learning methods showed, that the accuracy of the Raman method in the detection of colon cancer was around 95 %. Obtained results suggest, that Raman shifts at 1302 cm−1 and 1306 cm−1 can be used as spectroscopy markers of colon cancer.