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癌症和非癌症食管组织中多种元素的鉴别诊断。

Differential diagnosis of multielements in cancerous and non-cancerous esophageal tissues.

机构信息

Department of Chemistry and the MOE Key Lab of Spectrochemical Analysis & Instrumentation, College of Chemistry and Chemical Engineering, State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361005, Fujian, China.

Department of Surgical Oncology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou 362000, Fujian, China.

出版信息

Talanta. 2019 May 1;196:585-591. doi: 10.1016/j.talanta.2018.12.061. Epub 2018 Dec 21.

Abstract

It is known that variations in the concentrations of certain elements in humans may be an indication of cancers. In this work, a method for the quantitative analysis of 22 elements in non-tumor and esophageal squamous cell carcinoma (ESCC) tissues from the same individual is reported. Based on the optimized platform combined with multivariate analysis, diagnostic models of ESCC were established using principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA), showing excellent classification of cancerous and non-cancerous group by metallomic profiling. Elemental concentrations of 10 elements (Mn, Se, Cu, Ti, Mg, Fe, Co, Zn, Sr, Ca) showed significant difference (p < 0.001) in tumor and non-tumor tissues, in which Mn, Se, Cu and Ti are the top 4 elements of statistical significance and a shift towards higher concentration levels has also been observed in the tumor samples. These results confirm the considerable potential of elemental studies for biomedical purposes. To our knowledge, previous studies on elemental concentration in esophageal cancer were performed in serum or plasma levels; and this is the first study to evaluate the association of tissue elemental concentrations with ESCC.

摘要

已知人体内某些元素浓度的变化可能是癌症的一个迹象。在这项工作中,报告了一种定量分析来自同一个体的非肿瘤和食管鳞状细胞癌(ESCC)组织中 22 种元素的方法。基于优化的平台结合多元分析,使用主成分分析(PCA)和偏最小二乘判别分析(PLS-DA)建立了 ESCC 的诊断模型,通过代谢组学分析显示出对癌症和非癌症组的出色分类。在肿瘤和非肿瘤组织中,10 种元素(Mn、Se、Cu、Ti、Mg、Fe、Co、Zn、Sr、Ca)的元素浓度存在显著差异(p<0.001),其中 Mn、Se、Cu 和 Ti 是统计意义上最重要的前 4 种元素,并且在肿瘤样本中也观察到浓度水平向更高方向的偏移。这些结果证实了元素研究在生物医学方面具有相当大的潜力。据我们所知,以前关于食管癌中元素浓度的研究是在血清或血浆水平上进行的;这是第一项评估组织元素浓度与 ESCC 之间关联的研究。

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