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

IF 4.7 4区 医学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Joanna Depciuch PhD , Paweł Jakubczyk Prof. , Wiesław Paja PhD , Krzysztof Pancerz PhD , Agnieszka Wosiak Prof. , Monika Kula-Maximenko PhD , İlhan Yaylım Prof. , Güldal İnal Gültekin Prof. , Nevzat Tarhan Prof. , Mehmet Tolgahan Hakan PhD , Dilara Sönmez M.Sc , Devrim Sarıbal Prof. , Soykan Arıkan Prof. , Zozan Guleken Prof.
{"title":"Correlation between human colon cancer specific antigens and Raman spectra. Attempting to use Raman spectroscopy in the determination of tumor markers for colon cancer","authors":"Joanna Depciuch PhD ,&nbsp;Paweł Jakubczyk Prof. ,&nbsp;Wiesław Paja PhD ,&nbsp;Krzysztof Pancerz PhD ,&nbsp;Agnieszka Wosiak Prof. ,&nbsp;Monika Kula-Maximenko PhD ,&nbsp;İlhan Yaylım Prof. ,&nbsp;Güldal İnal Gültekin Prof. ,&nbsp;Nevzat Tarhan Prof. ,&nbsp;Mehmet Tolgahan Hakan PhD ,&nbsp;Dilara Sönmez M.Sc ,&nbsp;Devrim Sarıbal Prof. ,&nbsp;Soykan Arıkan Prof. ,&nbsp;Zozan Guleken Prof.","doi":"10.1016/j.nano.2023.102657","DOIUrl":null,"url":null,"abstract":"<div><p>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 ELİSA method. Raman spectra showed higher Raman intensities at 1447 cm<sup>−1</sup> 1560 cm<sup>−1</sup>, 1665 cm<sup>-1,</sup> and 1769 cm<sup>−1</sup>, which originated from CH<sub>2</sub> proteins and lipids, amide II and amide I, and C<img>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<sup>−1</sup> and 1306 cm<sup>−1</sup> can be used as spectroscopy markers of colon cancer.</p></div>","PeriodicalId":396,"journal":{"name":"Nanomedicine: Nanotechnology, Biology and Medicine","volume":"48 ","pages":"Article 102657"},"PeriodicalIF":4.7000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nanomedicine: Nanotechnology, Biology and Medicine","FirstCategoryId":"1","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1549963423000084","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 1

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 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 CO 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.

Abstract Image

结肠癌特异性抗原与拉曼光谱的相关性研究。尝试用拉曼光谱法测定结肠癌肿瘤标志物
结直肠癌是全球癌症相关死亡的第二大常见原因。为了跟踪疾病的进展,通常使用肿瘤标志物。在这里,我们报告了基于拉曼光谱的血清分析,通过肿瘤标志物和使用ELİSA方法测量的两种新的细胞粘附分子提供快速的癌症诊断。拉曼光谱在1447 cm−1、1560 cm−1、1665 cm−1和1769 cm−1处显示出较高的拉曼强度,这是由CH2蛋白和脂质、酰胺II和酰胺I以及CO脂质振动引起的。此外,相关性检验显示,只有CEA结肠癌标志物与拉曼光谱相关。重要的是,机器学习方法表明,拉曼方法检测结肠癌的准确率约为95%。结果表明,在1302 cm−1和1306 cm−1处的拉曼位移可以作为结肠癌的光谱标记。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
8.10
自引率
3.60%
发文量
104
审稿时长
4.6 months
期刊介绍: Nanomedicine: Nanotechnology, Biology and Medicine (NBM) is an international, peer-reviewed journal presenting novel, significant, and interdisciplinary theoretical and experimental results related to nanoscience and nanotechnology in the life and health sciences. Content includes basic, translational, and clinical research addressing diagnosis, treatment, monitoring, prediction, and prevention of diseases.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信