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Analysis of Staged Features of Gastritis-Cancer Transformation and Identification of Potential Biomarkers in Gastric Cancer

PURPOSE: This work aims to elucidate the staged characteristics during gastritis-cancer transformation based on the transcriptome and use bioinformatics to identify potential biomarkers. PATIENTS AND METHODS: We collected blood samples from healthy controls, patients with non-atrophic gastritis, atr...

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Autores principales: Jia, Ruikang, Guo, Xiaohui, Liu, Huiyun, Zhao, Feiyue, Fan, Zhibin, Wang, Menglei, Sui, Jianliang, Yin, Binghua, Wang, Zhihong, Wang, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805741/
https://www.ncbi.nlm.nih.gov/pubmed/36597437
http://dx.doi.org/10.2147/JIR.S390448
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author Jia, Ruikang
Guo, Xiaohui
Liu, Huiyun
Zhao, Feiyue
Fan, Zhibin
Wang, Menglei
Sui, Jianliang
Yin, Binghua
Wang, Zhihong
Wang, Zhen
author_facet Jia, Ruikang
Guo, Xiaohui
Liu, Huiyun
Zhao, Feiyue
Fan, Zhibin
Wang, Menglei
Sui, Jianliang
Yin, Binghua
Wang, Zhihong
Wang, Zhen
author_sort Jia, Ruikang
collection PubMed
description PURPOSE: This work aims to elucidate the staged characteristics during gastritis-cancer transformation based on the transcriptome and use bioinformatics to identify potential biomarkers. PATIENTS AND METHODS: We collected blood samples from healthy controls, patients with non-atrophic gastritis, atrophic gastritis, and gastric cancer, and tissue samples from patients with gastric cancer, respectively. RNA-seq was then performed. Differentially expressed genes, weighted gene co-expression network analysis and functional enrichment analysis were used to illustrate the staged characteristics of gastritis-cancer transformation. Genes with diagnostic potential were further identified in combination with ROC analysis. Additionally, for the gastric cancer stage, the gene expression of the collected tissue transcriptome was validated using the Cancer Genome Atlas and combined with survival analysis to identify potential biomarkers. RESULTS: The 279 overlapping genes among the differentially expressed genes of NAG, AG and CA indicated that the expression characteristics of different stages were different. However, the 2243 overlapping genes of differential genes between adjacent stages indicated a certain consistency in the expression characteristics of stage development. The core functions of different stages have strong stage specificity and basically have no similarities. Twenty genes with diagnostic potential for AG or CA were obtained, respectively, and no gene could effectively differentiate NAG samples. Thirty-four potential biomarkers for gastric cancer were identified, of which 14 genes have not been reported, including ACTG2, C1QTNF2, NCAPH and SORCS1. CONCLUSION: There may be a stable development mechanism in the process of gastritis-carcinoma transformation, resulting in the differences in the performance of each stage. The newly discovered staging features and potential biomarkers in this work can provide references for related research.
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spelling pubmed-98057412023-01-02 Analysis of Staged Features of Gastritis-Cancer Transformation and Identification of Potential Biomarkers in Gastric Cancer Jia, Ruikang Guo, Xiaohui Liu, Huiyun Zhao, Feiyue Fan, Zhibin Wang, Menglei Sui, Jianliang Yin, Binghua Wang, Zhihong Wang, Zhen J Inflamm Res Original Research PURPOSE: This work aims to elucidate the staged characteristics during gastritis-cancer transformation based on the transcriptome and use bioinformatics to identify potential biomarkers. PATIENTS AND METHODS: We collected blood samples from healthy controls, patients with non-atrophic gastritis, atrophic gastritis, and gastric cancer, and tissue samples from patients with gastric cancer, respectively. RNA-seq was then performed. Differentially expressed genes, weighted gene co-expression network analysis and functional enrichment analysis were used to illustrate the staged characteristics of gastritis-cancer transformation. Genes with diagnostic potential were further identified in combination with ROC analysis. Additionally, for the gastric cancer stage, the gene expression of the collected tissue transcriptome was validated using the Cancer Genome Atlas and combined with survival analysis to identify potential biomarkers. RESULTS: The 279 overlapping genes among the differentially expressed genes of NAG, AG and CA indicated that the expression characteristics of different stages were different. However, the 2243 overlapping genes of differential genes between adjacent stages indicated a certain consistency in the expression characteristics of stage development. The core functions of different stages have strong stage specificity and basically have no similarities. Twenty genes with diagnostic potential for AG or CA were obtained, respectively, and no gene could effectively differentiate NAG samples. Thirty-four potential biomarkers for gastric cancer were identified, of which 14 genes have not been reported, including ACTG2, C1QTNF2, NCAPH and SORCS1. CONCLUSION: There may be a stable development mechanism in the process of gastritis-carcinoma transformation, resulting in the differences in the performance of each stage. The newly discovered staging features and potential biomarkers in this work can provide references for related research. Dove 2022-12-28 /pmc/articles/PMC9805741/ /pubmed/36597437 http://dx.doi.org/10.2147/JIR.S390448 Text en © 2022 Jia et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Jia, Ruikang
Guo, Xiaohui
Liu, Huiyun
Zhao, Feiyue
Fan, Zhibin
Wang, Menglei
Sui, Jianliang
Yin, Binghua
Wang, Zhihong
Wang, Zhen
Analysis of Staged Features of Gastritis-Cancer Transformation and Identification of Potential Biomarkers in Gastric Cancer
title Analysis of Staged Features of Gastritis-Cancer Transformation and Identification of Potential Biomarkers in Gastric Cancer
title_full Analysis of Staged Features of Gastritis-Cancer Transformation and Identification of Potential Biomarkers in Gastric Cancer
title_fullStr Analysis of Staged Features of Gastritis-Cancer Transformation and Identification of Potential Biomarkers in Gastric Cancer
title_full_unstemmed Analysis of Staged Features of Gastritis-Cancer Transformation and Identification of Potential Biomarkers in Gastric Cancer
title_short Analysis of Staged Features of Gastritis-Cancer Transformation and Identification of Potential Biomarkers in Gastric Cancer
title_sort analysis of staged features of gastritis-cancer transformation and identification of potential biomarkers in gastric cancer
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805741/
https://www.ncbi.nlm.nih.gov/pubmed/36597437
http://dx.doi.org/10.2147/JIR.S390448
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