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通过与化学计量学相结合的振动光谱法对生物流体中的胃癌病例进行生物光谱筛选和分子指纹识别。

Biospectroscopy screening and molecular fingerprinting of gastric cancer cases from biofluids by vibrational spectroscopy allied with chemometrics.

作者信息

Tugrul Fuzuli, Akin Geyik Gonul, Peker Cengiz Betul, Yalinbaş Kaya Berrin, Karuk Elmas Sukriye Nihan, Yilmaz Ibrahim, Arslan Fatma Nur

机构信息

Clinic of Radiation Oncology, Eskişehir-City Hospital, 26080, Eskisehir, Turkey.

Clinic of Radiation Oncology, Acıbadem Eskişehir Hospital, 26130, Eskisehir, Turkey.

出版信息

Sci Rep. 2025 Aug 8;15(1):28991. doi: 10.1038/s41598-025-09912-0.

Abstract

The present study aims to develop a new molecular diagnostic modality based upon mid-infrared (mid-IR) spectroscopy allied with chemometrics for the diagnosis of gastric cancer (GC) from diverse biofluids. The characterization over the spectral data specified the changes at molecular level caused from the synthesis of main biomolecules like lipids, proteins and carbohydrates was performed. The spectral data from the cancer and their control cases were analyzed by practicing the supervised and unsupervised chemometrics analysis including PCA, SIMCA, LDA and HCA. The results indicated that remarkable changes were occurred in the content of biomolecules for GC cases due to energy necessities. 100% of the cancer cases from blood serum, blood plasma and saliva biofluids were successfully discriminated from their control specimens by LDA. Consequently, this research established the potential of mid-IR spectroscopy allied with chemometrics for evaluating biochemical changes of GC cases with high sensitivity and precision.

摘要

本研究旨在开发一种基于中红外(mid-IR)光谱并结合化学计量学的新型分子诊断方法,用于从多种生物流体中诊断胃癌(GC)。对光谱数据进行表征,以确定由脂质、蛋白质和碳水化合物等主要生物分子合成引起的分子水平变化。通过实施包括主成分分析(PCA)、软独立建模类比法(SIMCA)、线性判别分析(LDA)和层次聚类分析(HCA)在内的有监督和无监督化学计量学分析,对癌症及其对照病例的光谱数据进行了分析。结果表明,由于能量需求,GC病例中生物分子的含量发生了显著变化。通过LDA成功地将血清、血浆和唾液生物流体中的100%癌症病例与其对照样本区分开来。因此,本研究确立了中红外光谱结合化学计量学在高灵敏度和高精度评估GC病例生化变化方面的潜力。

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