Quantitative proteomic analysis reveals that proteins required for fatty acid metabolism may serve as diagnostic markers for gastric cancer

Jiang, Zhen; Shen, Hongchun; Tang, Bo; Yu, Qin; Ji, Xingli; Wang, Li

doi:10.1016/j.cca.2016.11.032

Cited by 25 publications

(23 citation statements)

References 32 publications

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“…48,49 Fatty acids can be used as a diagnostic marker of gastric cancer. 50 In this study, we found that an increase in these lipid metabolites may indicate that lipid metabolism in the peritoneal environment in gastric cancer with peritoneal metastasis has changed significantly.…”

Section: Discussionmentioning

confidence: 71%

<p>Discovering Biomarkers in Peritoneal Metastasis of Gastric Cancer by Metabolomics</p>

Pan¹,

Ma²,

Suo³

et al. 2020

OTT

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Background and Objective: Metabolomics has recently been applied in the field of oncology. In this study, we aimed to use metabolomics to explore biomarkers in peritoneal metastasis of gastric cancer. Methods: Peritoneal lavage fluid (PLF) of 65 gastric cancer patients and related clinical data were collected from the First Hospital of Jilin University. The metabolic components were identified by liquid chromatography-mass spectrometry (LC-MS). Total ion current (TIC) spectra, principal component analysis (PCA), and the Student's t-test were used to identify differential metabolites in PLF. A support vector machine (SVM) was used to screen the differential metabolites in PLF with a weight of 100%. Cluster analysis was used to evaluate the similarity between samples. Receiver operating characteristic (ROC) curve analysis was used to assess the diagnostic ability of the metabolites. Univariate and multivariate logistic regression analyses were used to identify potential risk factors for peritoneal metastasis of gastric cancer. Results: We found the differential levels of PLF metabolites by LC-MS, TIC spectra, PCA and the t-test. Cluster analysis showed the co-occurrence of metabolites in the peritoneal metastasis group (p<0.05). ROC analysis showed the diagnostic ability of metabolites (p<0.05). Univariate and multivariate logistic regression analyses showed the potential independent risk factors for peritoneal metastasis in gastric cancer patients (p<0.05). Conclusion: Through the statistical analysis of metabolomics, we found that TG (54:2

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Section: Discussionmentioning

confidence: 71%

<p>Discovering Biomarkers in Peritoneal Metastasis of Gastric Cancer by Metabolomics</p>

Pan¹,

Ma²,

Suo³

et al. 2020

OTT

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“…Proteomics is an effective high‐throughput research mode, which is able to investigate the overall protein expression changes of the varieties and quantities dynamically and quantitatively, and to obtain some new protein markers as well as new key molecules. [ 16 ] It greatly enriches the optimal selections and combinations of diagnostic markers, which provides new ideas for us to seek specific diagnostic markers, [ 17 ] study the pathogenesis of the complex disease comprehensively, test the prognosis and recurrence of disease, and screen to identify the therapeutic targets. [ 18 ] Therefore, it is important to find out the most representative protein marker.…”

Section: Discussionmentioning

confidence: 99%

The Influence of Blood Collection Tubes in Biomarkers’ Screening by Mass Spectrometry

Zhang

Zhao

Duan

et al. 2020

Proteomics Clinical Apps

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Purpose Mass spectrometry is one of the rapidly developing bio‐analytical techniques in recent years, and it shows that the results of biomarkers’ screening can be influenced by pre‐analytical process. The selection of the blood collection tubes is one of the most significant steps of pre‐analytical process which is often neglected by researchers. So, it is urgent to define the influence of blood collection tubes clearly in biomarkers’ screening. Experimental Design Two types of blood collection tubes, non‐additive tubes and coagulant activator tubes, are used to collect serum samples from patients and healthy controls. All samples are analyzed using matrix‐assisted laser desorption ionization‐time of flight mass spectrum in this study. Results The serum protein profile changes while using coagulant tubes whether for patients or healthy controls. It is found that the effect of coagulant on serum protein of patients is smaller than that of control group. There are 27 significantly different peaks between the control group and the control coagulant group. However, between patient group and patient coagulant group, only one differential peak is obtained. Coagulant changes the expression differences between patients and healthy controls, making the differences expand, shrink or reverse, and most of the polypeptides are small molecule, which will change the results of biomarker's screening. Conclusions and Clinical Relevance This research suggested that different types of blood collection tubes would influence the final laboratory results. So it's important for clinicians to choose the proper tubes to detect biomarkers and make correct diagnoses.

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“…2 and Table 3 ). An in-depth analysis of the data is presented in the associated research article [1] .…”

Section: Datamentioning

confidence: 99%

Identification of diagnostic markers involved in the pathogenesis of gastric cancer through iTRAQ-based quantitative proteomics

et al. 2017

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We provide detailed datasets from our analysis of proteins that are differentially expressed in gastric cancer tissues compared with adjacent normal gastric tissues, as identified by iTRAQ-based quantitative proteomics. Also included is a set of representative images of immunohistochemical staining of gastric cancer tissues showing four levels of expression of fatty acid binding protein (FABP1) and fatty acid synthase (FASN). The data presented in this paper support the research article “Quantitative proteomic analysis reveals that proteins required for fatty acid metabolism may serve as diagnostic markers for gastric cancer” (Jiang et al., 2017) [1]. We expect that the data will contribute to the identification of sensitive and specific biomarkers for early detection of gastric cancer.

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Quantitative proteomic analysis reveals that proteins required for fatty acid metabolism may serve as diagnostic markers for gastric cancer

Cited by 25 publications

References 32 publications

<p>Discovering Biomarkers in Peritoneal Metastasis of Gastric Cancer by Metabolomics</p>

<p>Discovering Biomarkers in Peritoneal Metastasis of Gastric Cancer by Metabolomics</p>

The Influence of Blood Collection Tubes in Biomarkers’ Screening by Mass Spectrometry

Identification of diagnostic markers involved in the pathogenesis of gastric cancer through iTRAQ-based quantitative proteomics

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