Department of Analytical Chemistry, Faculty of Chemical Engineering, University of Chemistry and Technology Prague, Technicka 5, 166 28 Prague 6, Czech Republic.
Department of Analytical Chemistry, Faculty of Chemical Engineering, University of Chemistry and Technology Prague, Technicka 5, 166 28 Prague 6, Czech Republic.
Spectrochim Acta A Mol Biomol Spectrosc. 2024 Jan 15;305:123430. doi: 10.1016/j.saa.2023.123430. Epub 2023 Sep 23.
Improving the early diagnosis of gastrointestinal cancers is a crucial step in reducing their mortality. Given the non-specificity of the initial symptoms, the ability of any diagnostic method to differentiate between various types of gastrointestinal cancers also needs to be addressed. To detect disease-specific alterations in biomolecular structure and composition of the blood plasma, we have implemented an approach combining Raman spectroscopy and its conformation-sensitive polarized version, Raman optical activity, to analyze blood plasma samples of patients suffering from three different types of gastrointestinal cancer - hepatocellular, colorectal and pancreatic. First, we aimed to discriminate any type of gastrointestinal cancer from healthy control individuals; inthenext step, the focus was on differentiating among the three cancer types studied. The more straightforward of the two statistical approaches tested, the combination of linear discriminant analysis and principal component analysis applied to the entire spectral dataset, allowed the discrimination of cancer and control samples with 87% accuracy. The three gastrointestinal cancers were classified with an overall accuracy of 76%. The second method, the linear discriminant analysis applied to a selection of spectral bands, yielded even higher values. Cancer and control samples were distinguished with 89% accuracy and hepatocellular, colorectal and pancreatic cancer with an overall accuracy of 87%. The results obtained in our study suggest that the proposed approach may become a disease-specific diagnostic tool in daily clinical practice.
提高胃肠道癌症的早期诊断是降低其死亡率的关键步骤。鉴于初始症状的非特异性，任何诊断方法区分各种类型胃肠道癌症的能力也需要解决。为了检测血液等离子体中生物分子结构和组成的疾病特异性改变，我们结合了拉曼光谱及其构象敏感的偏振版本拉曼光学活性，来分析患有三种不同类型胃肠道癌症（肝细胞癌、结直肠癌和胰腺癌）的患者的血浆样本。首先，我们旨在将任何类型的胃肠道癌症与健康对照组区分开来；在下一步中，重点是区分研究的三种癌症类型。两种经过测试的统计学方法中较为直接的一种是，将线性判别分析和主成分分析组合应用于整个光谱数据集，该方法允许以 87%的准确率区分癌症和对照样本。三种胃肠道癌症的总体准确率为 76%。第二种方法是将线性判别分析应用于光谱波段的选择，得到了更高的值。癌症和对照样本的准确率为 89%，肝细胞癌、结直肠癌和胰腺癌的准确率为 87%。我们的研究结果表明，所提出的方法可能成为日常临床实践中的一种疾病特异性诊断工具。
