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

No Thumbnail Available

Date

2023

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Open Access Color

OpenAIRE Downloads

OpenAIRE Views

Research Projects

Organizational Units

Journal Issue

Abstract

Colorectal 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 ELISA 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_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. (c) 2023 Published by Elsevier Inc.

Description

Guleken, Zozan/0000-0002-4136-4447; Inal Gultekin, Guldal/0000-0002-8313-6119; Wosiak, Agnieszka/0000-0001-6124-1236; Jakubczyk, Paweł/0000-0002-5353-7915; Saribal, Devrim/0000-0003-3301-3708; Paja, Wieslaw/0000-0002-6446-036X; Paja, Wieslaw/0000-0002-6446-036X; Tarhan, Nevzat/0000-0002-6810-7096

Keywords

Colon cancer, ICAM-1, CEACAM-1, Raman spectroscopy, Machine learning

Turkish CoHE Thesis Center URL

Fields of Science

Citation

3

WoS Q

Q2

Scopus Q

Q1

Source

Volume

48

Issue

Start Page

End Page