| 引用本文: | 马清珠,季昆,王焱.基于已知疾病基因构建共表达网络识别胃癌进展及预后相关非编码基因[J].生物信息学,2023,21(3):226-232. |
| MA Qingzhu,JI Kun,WANG Yan.Construction of co-expression networks based on known disease genes to identify non coding genes related to the progression and prognosis of gastric cancer[J].Chinese Journal of Bioinformatics,2023,21(3):226-232. |
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| 摘要: |
| 本研究旨在总结整理已有胃癌研究的基础上,进一步挖掘出非编码基因在胃癌的进展及预后中起的关键作用。通过胃癌患者编码及非编码基因的表达数据,结合已知胃癌致病基因,进行编码基因与非编码基因的共表达计算,识别出由miRNA介导的并且与已知胃癌基因互作的lncRNA,挖掘出三者(mRNA-miRNA-lncRNA)相互作用的模块,进而对模块进行筛选,并对疾病相关的显著模块的基因进行生存分析。除已知的胃癌相关基因外,研究也使用了差异表达的胃癌基因,这些基因显著的富集在细胞增殖、细胞粘附、肌肉收缩、血管重塑、细胞分裂、染色体分离等生物过程,这些生物过程都与胃的基础功能及胃癌发生发展密切相关。分值最高的三元组模块内核心基因BGN在胃癌患者中显著高表达,而且和胃癌患者的预后显著相关；同时也发现该模块内的miRNA has-miRNA-153-5p和has-miRNA-5001-5p均为已证实的胃癌相关基因；模块内的mRNA和miRNA的表达异常可能是由于与他们显著相关的lncRNA的表达异常导致的。本研究为胃癌已知致病基因的表达异常研究找到了新突破口,潜在的胃癌相关的非编码基因的发现为胃癌预防与治疗提供了新的靶点,为未来的临床应用提供了依据。 |
| 关键词: 胃癌 miRNA lncRNA 共表达网络 预后 |
| DOI：10.12113/202104019 |
| 分类号:R73 |
| 文献标识码:A |
| 基金项目: |
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| Construction of co-expression networks based on known disease genes to identify non coding genes related to the progression and prognosis of gastric cancer |
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MA Qingzhu1,JI Kun2,WANG Yan2
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(1. Department of Gastroenterology, Liaocheng People's Hospital, Liaocheng 252000, Shandong, China; 2. Department of Respiratory Medicine, Liaocheng People's Hospital, Liaocheng 252000, Shandong, China)
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| Abstract: |
| Gastric cancer is one of the most commonly occurring malignancies. While researches have led to the discovery of an increasing number of pathogenic factors, the pathogenesis is not yet clearly known. The purpose of this study is to summarize the existing studies on gastric cancer, and further explore the key role of non-coding genes in the progression and prognosis of gastric cancer. Taking into consideration the expression data of coding and non-coding genes of gastric cancer patients and known gastric cancer pathogenic genes, co-expression calculation of coding and non-coding genes was performed to identify lncRNAs mediated by miRNA that interact with known gastric cancer genes. The three interacting modules (mRNA-miRNA-lncRNA) were mined, the modules were then screened, and the genes of significant modules related to disease were subject to survival analysis. In addition to known gastric cancer-related genes, differentially expressed gastric cancer genes were also employed in study, which are significantly enriched in biological processes closely related to the basic functions of the stomach and development of gastric cancer, such as cell proliferation, cell adhesion, muscle contraction, vascular remodeling, cell division, and chromosome separation. The gene BGN in the triplet module with the highest score was not only significantly overexpressed in gastric cancer patients, but also significantly correlated with the prognosis of gastric cancer patients. The relations of the has-miRNA-153-5p and the has-miRNA-5001-5p in this module to gastric cancer were both confirmed. We then infer that the abnormal expression of mRNA and miRNA in the module may be caused by abnormal expression of lncRNA that is significantly related to them. Conclusion(s): This study has found a new breakthrough for the study of abnormal expression of known pathogenic genes in gastric cancer. The discovery of potential non-coding genes related to gastric cancer provides new targets for the prevention and treatment of gastric cancer, and provides basis for future clinical applications. |
| Key words: Gastric cancer miRNA lncRNA Co-expression network Prognosis |
