Role of ACLY in the development of gastric cancer under hyperglycemic conditions

IF 0.6 4区生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY

Quantitative Biology Pub Date : 2024-03-01 DOI:10.1002/qub2.36

Keran Sun, Jingyuan Ning, Keqi Jia, Xiaoqing Fan, Hongru Li, Jize Ma, Meiqi Meng, Cuiqing Ma, Lin Wei

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引用次数: 0

Abstract

To investigate the impact of hyperglycemia on the prognosis of patients with gastric cancer and identify key molecules associated with high glucose levels in gastric cancer development, RNA sequencing data and clinical features of gastric cancer patients were obtained from The Cancer Genome Atlas (TCGA) database. High glucose‐related genes strongly associated with gastric cancer were identified using weighted gene co‐expression network and differential analyses. A gastric cancer prognosis signature was constructed based on these genes and patients were categorized into high‐ and low‐risk groups. The immune statuses of the two patient groups were compared. ATP citrate lyase (ACLY), a gene significantly related to the prognosis, was found to be upregulated upon high‐glucose stimulation. Immunohistochemistry and molecular analyses confirmed high ACLY expression in gastric cancer tissues and cells. Gene Set Enrichment Analysis (GSEA) revealed the involvement of ACLY in cell cycle and DNA replication processes. Inhibition of ACLY affected the proliferation and migration of gastric cancer cells induced by high glucose levels. These findings suggest that ACLY, as a high glucose‐related gene, plays a critical role in gastric cancer progression.

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ACLY 在高血糖条件下胃癌发展中的作用

为了研究高血糖对胃癌患者预后的影响，并确定胃癌发生过程中与高血糖相关的关键分子，研究人员从癌症基因组图谱（TCGA）数据库中获取了胃癌患者的RNA测序数据和临床特征。通过加权基因共表达网络和差异分析，确定了与胃癌密切相关的高血糖相关基因。根据这些基因构建了胃癌预后特征，并将患者分为高危和低危两组。比较了两组患者的免疫状态。研究发现，ATP柠檬酸酶（ACLY）是一个与预后密切相关的基因，它在高葡萄糖刺激下上调。免疫组化和分子分析证实了 ACLY 在胃癌组织和细胞中的高表达。基因组富集分析（Gene Set Enrichment Analysis，GSEA）显示，ACLY参与了细胞周期和DNA复制过程。抑制 ACLY 会影响高糖诱导的胃癌细胞的增殖和迁移。这些研究结果表明，ACLY作为一种与高血糖相关的基因，在胃癌的发展过程中起着至关重要的作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Quantitative Biology MATHEMATICAL & COMPUTATIONAL BIOLOGY-

CiteScore

5.00

自引率

3.20%

发文量

264

期刊介绍： Quantitative Biology is an interdisciplinary journal that focuses on original research that uses quantitative approaches and technologies to analyze and integrate biological systems, construct and model engineered life systems, and gain a deeper understanding of the life sciences. It aims to provide a platform for not only the analysis but also the integration and construction of biological systems. It is a quarterly journal seeking to provide an inter- and multi-disciplinary forum for a broad blend of peer-reviewed academic papers in order to promote rapid communication and exchange between scientists in the East and the West. The content of Quantitative Biology will mainly focus on the two broad and related areas: ·bioinformatics and computational biology, which focuses on dealing with information technologies and computational methodologies that can efficiently and accurately manipulate –omics data and transform molecular information into biological knowledge. ·systems and synthetic biology, which focuses on complex interactions in biological systems and the emergent functional properties, and on the design and construction of new biological functions and systems. Its goal is to reflect the significant advances made in quantitatively investigating and modeling both natural and engineered life systems at the molecular and higher levels. The journal particularly encourages original papers that link novel theory with cutting-edge experiments, especially in the newly emerging and multi-disciplinary areas of research. The journal also welcomes high-quality reviews and perspective articles.