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

Xie, Binbin; Lin, Jianqing; Sui, Ke; Huang, Zhijun; Chen, Zhi-Yao; Hang, Wei

doi:10.1016/j.talanta.2018.12.061

Cited by 18 publications

(13 citation statements)

References 52 publications

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“…The mean serum zinc levels in high-risk regions were significantly low. The elemental concentrations of zinc showed a significant difference ( P < 0.001) in tumor and non-tumor tissues from the same individual[ 34 ]. Zinc deficiency is closely related to the risk of esophageal cancer in multiple populations[ 32 , 33 ].…”

Section: Discussionmentioning

confidence: 99%

Effects of dietary zinc deficiency on esophageal squamous cell proliferation and the mechanisms involved

Chen¹,

Liu²,

Liu³

2021

WJGO

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Section: Discussionmentioning

confidence: 99%

Effects of dietary zinc deficiency on esophageal squamous cell proliferation and the mechanisms involved

Chen¹,

Liu²,

Liu³

2021

WJGO

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“…Therefore, improving the screening and diagnosis ability of EC was the most economical and effective means of prevention and treatment. Current diagnostic approaches may have various shortcomings in clinical diagnosis of EC, such as low sensitivity and traumatic [28][29][30]. The appearance of autoantibodies against tumor-associated antigens can make up these shortcomings and provide an opportunity for auxiliary diagnosis of esophageal cancer [9,[31][32][33].…”

Section: Discussionmentioning

confidence: 99%

Screening and Evaluating Novel Autoantibodies Based on Proteomic Chips in Diagnosis of Esophageal Squamous Cell Carcinoma

Han

Sun

et al. 2021

Preprint

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Background More and more studies have confirmed that TAAbs could be used as potential biomarkers for tumor patients. The aim of this study is to identify novel TAAbs through proteomic chips and construct a diagnostic model to discriminate esophageal squamous cell carcinoma (ESCC) cases from benign esophageal diseases cases and normal controls (NCs). Methods The human proteomic chips were used to screen TAAbs. Enzyme-linked immunosorbent assay (ELISA) was adopted to verify and validate the candidate TAAbs which were screened by the chips in verification phase (90 ESCC cases and 90 NCs) and validation phase (126 ESCC cases, 237 benign esophageal diseases cases and 126 NCs). Based on the candidate TAAbs, then the diagnostic model for ESCC was constructed by logistic regression analysis in the training group and validated in the testing group. Results Firstly, thirteen potential candidate TAAbs were identified by proteomic chips. In verification phase, the titers of six TAAbs (anti-MAGEA1, anti-VCL, anti-PRKCZ, anti-TP53, anti-NFKB1 and anti- MAGEA4) in ESCC cases were higher than those in NCs while other seven TAAbs showed no difference. Subsequently, six candidate TAAbs were validated further in validation phase. Finally, the logistic regression model with 3 TAAbs (anti-MAGEA1, anti-VCL, anti-TP53) could discriminate ESCC cases from NCs with area under curve(AUC)of 0.80 in the training group and 0.73 in the testing group, respectively. Meanwhile, the model could discriminate ESCC cases from benign esophageal diseases cases with AUC of 0.74. Conclusion The study has identified six novel TAAbs through protein chips and constructed a diagnostic model. The panel showed great performance to distinguish ESCC cases from benign esophageal diseases cases and NCs.

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“…The ICP-MS was also applied for multielemental analysis of esophageal tissues taken from patients suffered from esophageal squamous cell carcinoma. Concentrations of elements in normal tissue, cancerous tissue and its surrounding area were compared 96 . Using ICP-MS the content of Ca, Cu, Fe, As, Mg, Ni, Cd and Cr in stomach tissue taken from patients with cancer was also determined 97 .…”

Section: Inductively Coupled Plasma Mass Spectrometry (Icp-ms)mentioning

confidence: 99%

“…Determination of Ca concentration in biomedical samples using all of the three mentioned techniques is generally characterized by a very good value of trueness which usually falls within the range from 93% 119 to 105% 39,69 . The best trueness for Ca determination (100%) was obtained in the work of Krebs et al It was calculated based on the comparison of the certified and the measured value of this element concentration in the 96 1.1 89 3.6 90 b: 7.5 17 8.7 89 5.3 90 nd: 1.5-3.4 13 22.8 95 16.3 95 1. As a: 4.4 17 4.14 96 7.7 89 3.6 b: 10 17 10.9 89 3.7 90 nd: www.nature.com/scientificreports/ certified material NIST RM 8414 (bovine muscle) using ICP-MS 9 .…”

Section: The Comparison Of the Discussed Techniques Of Elemental Analmentioning

confidence: 99%

“…The best value of Fe recovery for the real sample matrix was obtained with the use of F-AAS (97.8%) in the work of Fakayode et al, where the contents of trace elements in human hair samples were examined 34 . Based on the analysed papers it can be said that the lowest detection limit for Fe is 0.0001827 µg/ml and was obtained by Xie et al during measurements of standard solution using ICP-MS 96 . For the same technique, the value of Fe detection limit determined based on the measurements of real sample of human serum was 0.00205 µg/ml in the work of Meyer et al 90 .…”

Section: The Comparison Of the Discussed Techniques Of Elemental Analmentioning

confidence: 99%

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The assessment of the usability of selected instrumental techniques for the elemental analysis of biomedical samples

Planeta

Kubala‐Kukuś

Dróżdż

et al. 2021

Sci Rep

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The fundamental role of major, minor and trace elements in different physiological and pathological processes occurring in living organism makes that elemental analysis of biomedical samples becomes more and more popular issue. The most often used tools for analysis of the elemental composition of biological samples include Flame and Graphite Furnace Atomic Absorption Spectroscopy (F-AAS and GF-AAS), Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES) and Inductively Coupled Plasma Mass Spectrometry (ICP-MS). Each of these techniques has many advantages and limitations that should be considered in the first stage of planning the measurement procedure. Their reliability can be checked in the validation process and the precision, trueness and detection limits of elements belong to the most frequently determined validation parameters. The main purpose of this paper was the discussion of selected instrumental techniques (F-AAS, GF-AAS, ICP-OES and ICP-MS) in term of the achieved validation parameters and the usefulness in the analysis of biological samples. The focus in the detailed literature studies was also put on the methods of preparation of the biomedical samples. What is more based on the own data the usefulness of the total reflection X-ray fluorescence spectroscopy for the elemental analysis of animal tissues was examined. The detection limits of elements, precision and trueness for the technique were determined and compared with the literature data concerning other of the discussed techniques of elemental analysis. Reassuming, the following paper is to serve as a guide and comprehensive source of information concerning the validation parameters achievable in different instrumental techniques used for the elemental analysis of biomedical samples.

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

Cited by 18 publications

References 52 publications

Effects of dietary zinc deficiency on esophageal squamous cell proliferation and the mechanisms involved

Effects of dietary zinc deficiency on esophageal squamous cell proliferation and the mechanisms involved

Screening and Evaluating Novel Autoantibodies Based on Proteomic Chips in Diagnosis of Esophageal Squamous Cell Carcinoma

The assessment of the usability of selected instrumental techniques for the elemental analysis of biomedical samples

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