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Fluorescence spectroscopy using excitation and emission matrix for quantification of tissue native fluorophores and cancer diagnosis

机译:使用激发和发射矩阵的荧光光谱用于组织天然荧光团的定量和癌症诊断

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Native fluorescence spectrum of normal and cancerous human prostate tissues is studied to distinguish between normal and cancerous tissues, and cancerous tissues at different cancer grade. The tissue samples were obtained from Cooperative Human Tissue Network (CHTN) and National Disease Research Interchange(NDRI). An excitation and emission matrix (EEM) was generated for each tissue sample by acquiring native fluorescence spectrum of the sample using multiple excitation wavelengths. The non-negative matrix factorization algorithm was used to generate fluorescence EEMs that correspond to the fluorophores in biological tissues, including tryptophan, collagen, elastin, nicotinamide adenine dinucleotide (NADH), flavin adenine dinucleotide (FAD) and the background paraffin. We hypothesize that, as a consequence of metabolic changes associated with the development of cancer, the concentrations of NADH and FAD are different in normal and cancerous tissues, and also different for different cancer grades. We used the ratio of the abundances of FAD and NADH to distinguish between normal and cancerous tissues, and the tissue cancer grade. The FAD-to-NADH ratio was found to be the highest for normal tissue and decreased as the cancer grade increased.
机译:研究了正常和癌性人类前列腺组织的天然荧光光谱,以区分正常和癌性组织以及不同癌症等级的癌性组织。这些组织样本是从人类合作组织网络(CHTN)和国家疾病研究互换(NDRI)获得的。通过使用多个激发波长获取样品的天然荧光光谱,为每个组织样品生成激发和发射矩阵(EEM)。非负矩阵分解算法用于生成与生物组织中的荧光团相对应的荧光EEM,包括色氨酸,胶原蛋白,弹性蛋白,烟酰胺腺嘌呤二核苷酸(NADH),黄素腺嘌呤二核苷酸(FAD)和背景石蜡。我们假设,由于与癌症发展相关的代谢变化,在正常和癌变组织中,NADH和FAD的浓度是不同的,并且对于不同癌症级别,其含量也不同。我们使用FAD和NADH丰度的比率来区分正常组织和癌性组织,以及组织癌的等级。发现FAD与NADH的比例在正常组织中最高,并随着癌症等级的增加而降低。

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