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对干血浆进行拉曼光谱分析可用于诊断和监测结直肠癌。

Raman spectroscopy on dried blood plasma allows diagnosis and monitoring of colorectal cancer.

作者信息

Morasso Carlo, Daveri Elena, Bonizzi Arianna, Truffi Marta, Colombo Francesco, Danelli Piergiorgio, Albasini Sara, Rivoltini Licia, Mazzucchelli Serena, Sorrentino Luca, Corsi Fabio

机构信息

Laboratory of Nanomedicine Istituti Clinici Scientifici Maugeri IRCCS Pavia Italy.

Translational Immunology Unit Fondazione IRCCS Istituto Nazionale dei Tumori di Milano Milan Italy.

出版信息

MedComm (2020). 2024 Oct 31;5(11):e774. doi: 10.1002/mco2.774. eCollection 2024 Nov.

DOI:10.1002/mco2.774
PMID:39492836
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11527808/
Abstract

Colorectal cancer (CRC) remains challenging to diagnose, necessitating the identification of a noninvasive biomarker that can differentiate it from other conditions such as inflammatory bowel diseases (IBD) and diverticular disease (DD). Raman spectroscopy (RS) stands out as a promising technique for monitoring blood biochemical profiles, with the potential to identify distinct signatures identifying CRC subjects. We performed RS analysis on dried plasma from 120 subjects: 32 CRC patients, 37 IBD patients, 20 DD patients, and 31 healthy controls. We also conducted longitudinal studies of CRC patient's postsurgery to monitor the spectral changes over time. We identified six spectral features that showed significant differences between CRC and non-CRC patients, corresponding to tryptophan, tyrosine, phenylalanine, lipids, carotenoids, and disulfide bridges. These features enabled the classification of CRC patients with an accuracy of 87.5%. Moreover, longitudinal analysis revealed that the spectral differences normalized over 6 months after surgery, indicating their association with the presence of the disease. Our study demonstrates the potential of RS to identify specific biomolecular signatures related to CRC. These results suggest that RS could be a novel screening and monitoring tool, providing valuable insights for the development of noninvasive and accurate diagnostic methods for CRC.

摘要

结直肠癌(CRC)的诊断仍然具有挑战性,因此需要识别一种非侵入性生物标志物,以将其与其他疾病如炎症性肠病(IBD)和憩室病(DD)区分开来。拉曼光谱(RS)作为一种监测血液生化特征的有前景的技术脱颖而出,有潜力识别出区分CRC患者的独特特征。我们对120名受试者的干血浆进行了RS分析:32名CRC患者、37名IBD患者、20名DD患者和31名健康对照。我们还对CRC患者术后进行了纵向研究,以监测随时间的光谱变化。我们确定了六个光谱特征,这些特征在CRC患者和非CRC患者之间显示出显著差异,分别对应色氨酸、酪氨酸、苯丙氨酸、脂质、类胡萝卜素和二硫键。这些特征能够以87.5%的准确率对CRC患者进行分类。此外,纵向分析表明,术后6个月光谱差异恢复正常,表明它们与疾病的存在有关。我们的研究证明了RS识别与CRC相关的特定生物分子特征的潜力。这些结果表明,RS可能是一种新型的筛查和监测工具,为开发用于CRC的非侵入性和准确诊断方法提供有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f824/11527808/bab545d53f8c/MCO2-5-e774-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f824/11527808/3ab7a08c2a02/MCO2-5-e774-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f824/11527808/41bb97760f0a/MCO2-5-e774-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f824/11527808/218b30838bfb/MCO2-5-e774-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f824/11527808/bab545d53f8c/MCO2-5-e774-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f824/11527808/3ab7a08c2a02/MCO2-5-e774-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f824/11527808/41bb97760f0a/MCO2-5-e774-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f824/11527808/218b30838bfb/MCO2-5-e774-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f824/11527808/bab545d53f8c/MCO2-5-e774-g002.jpg

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本文引用的文献

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Anal Chem. 2024 Jun 11;96(23):9468-9477. doi: 10.1021/acs.analchem.4c00787. Epub 2024 May 31.
2
Current Trends of Raman Spectroscopy in Clinic Settings: Opportunities and Challenges.当前拉曼光谱技术在临床环境中的应用趋势:机遇与挑战。
Adv Sci (Weinh). 2024 Feb;11(7):e2300668. doi: 10.1002/advs.202300668. Epub 2023 Dec 10.
3
The Emerging Role of Raman Spectroscopy as an Omics Approach for Metabolic Profiling and Biomarker Detection toward Precision Medicine.
拉曼光谱作为一种组学方法在代谢组学分析和生物标志物检测中的新兴作用及其在精准医疗中的应用。
Chem Rev. 2023 Jul 12;123(13):8297-8346. doi: 10.1021/acs.chemrev.2c00897. Epub 2023 Jun 15.
4
Emergence of Raman Spectroscopy as a Probing Tool for Theranostics.拉曼光谱学作为治疗诊断探针的兴起。
Nanotheranostics. 2023 Mar 5;7(3):216-235. doi: 10.7150/ntno.81936. eCollection 2023.
5
Determination of the quality of lipoproteins by Raman spectroscopy in obese and healthy subjects.拉曼光谱法测定肥胖和健康受试者脂蛋白的质量。
Analyst. 2023 May 2;148(9):2012-2020. doi: 10.1039/d3an00051f.
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Raman Spectroscopy on Brain Disorders: Transition from Fundamental Research to Clinical Applications.拉曼光谱在脑部疾病中的应用:从基础研究到临床应用的转变。
Biosensors (Basel). 2022 Dec 26;13(1):27. doi: 10.3390/bios13010027.
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Correlation between human colon cancer specific antigens and Raman spectra. Attempting to use Raman spectroscopy in the determination of tumor markers for colon cancer.人结肠癌特异性抗原与拉曼光谱的相关性。尝试使用拉曼光谱学测定结肠癌的肿瘤标志物。
Nanomedicine. 2023 Feb;48:102657. doi: 10.1016/j.nano.2023.102657. Epub 2023 Jan 14.
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Molecules. 2022 Dec 17;27(24):9017. doi: 10.3390/molecules27249017.
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