Systematic review and meta-analysis of the screening and identification of key genes in gastric cancer using DNA microarray database

IF 1.7 4区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Journal of Intelligent & Fuzzy Systems Pub Date : 2024-03-16 DOI:10.3233/jifs-236416

Wenbiao Duan, Mingjin Yang, Weiliang Sun, Mingmin Xia, Hui Zhu, Chijiang Gu, Haiqiang Zhang

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引用次数: 0

Abstract

OBJECTIVE: A comprehensive evaluation of studies using DNA microarray datasets for screening and identifying key genes in gastric cancer is the goal of this systematic review and meta-analysis. To better understand the molecular environment associated with stomach cancer, this study aims to providea quantitative synthesis of findings. PURPOSE: Using DNA microarray databases in a systematic manner, this study aims to analyze gastric cancer (GC) screening and gene identification efforts. Through a literature review spanning 2002–2022, this research aims to identify key genes associated with GC and develop strategies for screening and prognosis based on these findings. METHODS: The following databases were searched extensively: Science Direct, NCKI, Web of Science, Springer, and PubMed. Fifteen studies met the inclusion and exclusion criteria; 10,134 tissues served as controls and 11,724 as GCs. The levels of critical genes, including COL1A1, COL1A2, THBS2, SPP1, SPARC, COL6A3, and COL3A1, were compared in normal and GC tissues. Rev Man 5.3 was used to do the meta-analysis. While applying models with fixed or random effects, 95% confidence intervals and weighted mean differences were computed. RESULTS According to the meta-analysis, GC tissues exhibited substantially elevated levels of important genes when contrasted with the control group. In particular, there were statistically significant increases in COL1A1 (MD = 2.43, 95% CI: 1.84–3.02), COL1A2 (MD = 2.75, 95% CI: 1.09–4.41), THBS2 (MD = 2.54, 95% CI: 1.66–3.41), SPP1 (MD = 3.64, 95% CI: 3.40–3.88), SPARC (MD = 1.57, 95% CI: 0.37–2.77), COL6A3 (MD = 2.31, 95% CI: 2.02–2.60), and COL3A1 (MD = 2.21, 95% CI: 1.59–2.82). CONCLUSIONS: The COL1A1, THBS2, SPP1, COL6A3, and COL3A1 genes were shown to have potential use in germ cell cancer screening and prognosis, according to this research. Clinical assessment and prognosis of heart failure patients may be theoretically supported by the results of this study.

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利用 DNA 微阵列数据库筛选和鉴定胃癌关键基因的系统综述和荟萃分析

目的：本系统综述和荟萃分析旨在全面评估使用DNA芯片数据集筛选和鉴定胃癌关键基因的研究。为了更好地了解与胃癌相关的分子环境，本研究旨在对研究结果进行定量综述。目的：本研究以系统的方式使用 DNA 微阵列数据库，旨在分析胃癌（GC）筛查和基因鉴定工作。通过对 2002-2022 年间的文献进行回顾，本研究旨在确定与 GC 相关的关键基因，并在此基础上制定筛查和预后策略。方法：对以下数据库进行了广泛检索：Science Direct、NCKI、Web of Science、Springer 和 PubMed。15项研究符合纳入和排除标准；10,134个组织作为对照，11,724个组织作为GCs。比较了正常组织和 GC 组织中 COL1A1、COL1A2、THBS2、SPP1、SPARC、COL6A3 和 COL3A1 等关键基因的水平。使用Rev Man 5.3进行荟萃分析。在应用固定或随机效应模型时，计算了95%置信区间和加权平均差。结果根据荟萃分析，与对照组相比，GC 组织中重要基因的水平大幅升高。尤其是 COL1A1（MD = 2.43，95% CI：1.84-3.02）、COL1A2（MD = 2.75，95% CI：1.09-4.41）、THBS2（MD = 2.54，95% CI：1.66-3.41）、SPP1（MD = 3.64，95% CI：3.40-3.88）、SPARC（MD = 1.57，95% CI：0.37-2.77）、COL6A3（MD = 2.31，95% CI：2.02-2.60）和 COL3A1（MD = 2.21，95% CI：1.59-2.82）。结论：这项研究表明，COL1A1、THBS2、SPP1、COL6A3和COL3A1基因在生殖细胞癌筛查和预后方面具有潜在用途。本研究的结果可为心力衰竭患者的临床评估和预后提供理论支持。

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来源期刊

Journal of Intelligent & Fuzzy Systems 工程技术-计算机：人工智能

CiteScore

3.40

自引率

10.00%

发文量

965

审稿时长

5.1 months

期刊介绍： The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.