Pang Nan, Yang Wanli, Yang Guizhe, Yang Chao, Tong Kuiyuan, Yu Ruihua, Jiang Feng
Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, 202150, China.
Faculty of Life Science and Food Engineering, Huaiyin Institute of Technology, Huaian, 223003, Jiangsu, China.
Discov Oncol. 2024 Aug 14;15(1):350. doi: 10.1007/s12672-024-01231-6.
Gastric cancer represents a significant public health challenge, necessitating advancements in early diagnostic methodologies. This investigation employed attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy to conduct a multivariate analysis of human serum. The study encompassed the examination of blood samples from 96 individuals diagnosed with gastric cancer and 96 healthy volunteers. Principal component analysis (PCA) was utilized to interpret the infrared spectral data of the serum samples. Specific spectral bands exhibiting intensity variations between the two groups were identified. The infrared spectral ranges of 3500 ~ 3000 cm⁻, 1700 ~ 1600 cm⁻, and 1090 ~ 1070 cm⁻ demonstrated significant diagnostic value for gastric cancer, likely attributable to differences in protein conformation and nucleic acids. By employing machine learning algorithms to differentiate between gastric cancer patients (n = 96) and healthy controls (n = 96), we achieved a sensitivity of up to 89.7% and a specificity of 87.2%. Receiver operating characteristic (ROC) analysis yielded an area under the curve (AUC) of 0.901. These findings underscore the potential of our serum-based ATR-FTIR spectroscopy examination method as a straightforward, minimally invasive, and reliable diagnostic test for the detection of gastric cancer.
胃癌是一项重大的公共卫生挑战，需要在早期诊断方法上取得进展。本研究采用衰减全反射傅里叶变换红外光谱（ATR-FTIR）对人血清进行多变量分析。该研究对96名被诊断为胃癌的个体和96名健康志愿者的血样进行了检测。主成分分析（PCA）用于解释血清样本的红外光谱数据。确定了两组之间表现出强度变化的特定光谱带。3500～3000cm⁻、1700～1600cm⁻和1090～1070cm⁻的红外光谱范围对胃癌具有显著的诊断价值，这可能归因于蛋白质构象和核酸的差异。通过使用机器学习算法区分胃癌患者（n = 96）和健康对照（n = 96），我们实现了高达89.7%的灵敏度和87.2%的特异性。受试者工作特征（ROC）分析得出曲线下面积（AUC）为0.901。这些发现强调了我们基于血清的ATR-FTIR光谱检测方法作为一种简单、微创且可靠的胃癌检测诊断测试的潜力。
