[1]张立洁a,彭 泉b.基于GEO 数据库筛选慢性胰腺炎恶变过程中关键miRNA 和ceRNA 网络构建[J].现代检验医学杂志,2023,38(02):18-24.[doi:10.3969/j.issn.1671-7414.2023.02.004 ]
　ZHANG Li-jiea,PENG Quanb.Screening of Key miRNAs and Construction of Competing Endogenous RNA Network Involved in the Progression from Chronic Pancreatitis to Pancreatic Cancer Based on GEO Database[J].Journal of Modern Laboratory Medicine,2023,38(02):18-24.[doi:10.3969/j.issn.1671-7414.2023.02.004 ]
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基于GEO 数据库筛选慢性胰腺炎恶变过程中关键miRNA 和ceRNA 网络构建()
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《现代检验医学杂志》[ISSN:/CN:]

卷:
第38卷
期数:
2023年02期
页码:
18-24
栏目:
论著
出版日期:
2023-03-15

文章信息/Info

Title:
Screening of Key miRNAs and Construction of Competing Endogenous RNA Network Involved in the Progression from Chronic Pancreatitis to Pancreatic Cancer Based on GEO Database
文章编号:
1671-7414（2023）02-018-07
作者:
张立洁a; 彭 泉b
（解放军第 901医院 a.肿瘤中心；b.普外科，合肥 230031）
Author(s):
ZHANG Li-jiea;  PENG Quanb
（a.Tumor Diagnosis and Treatment Center；b. Department of General Surgery, 901th Hospital of PLA, Hefei 230031，China）
关键词:
胰腺癌; 慢性胰腺炎; 微小 RNA; 竞争性内源 RNA
分类号:
R735.9; R730.43
DOI:
10.3969/j.issn.1671-7414.2023.02.004
文献标志码:
A
摘要:
目的 筛选慢性胰腺炎（chronic pancreatitis, CP）进展到胰腺癌（pancreatic cancer, PC）过程中发挥潜在作用的 miRNA及其调控网络。方法 从 GEO数据库中下载芯片数据 GSE24279和 GSE25820，筛选出在 CP和 PC中差异表达的 miRNA（differential expression miRNA，DEM）。预测 DEM的靶基因和长链非编码 RNA（long non-coding RNA），随后进行靶基因富集分析，构建蛋白互作网络（protein-protein interaction, PPI）并筛选出枢纽基因和具有特殊生物学功能的模块，通过综合分析 DEM，枢纽基因和 LncRNA的表达和预后，基于竞争性内源 RNA（competing endogenous RNAs, ceRNA）的理论，构建 miRNA的调控网络。结果 筛选出 16个 DEM，其靶基因参与共生过程，细胞器组织的正调控，细胞质的核周区域和双链 RNA结合。从 PPI网络中，筛选出 17个枢纽基因和 3个模块。综合分析后，将 hsa-miR-221-3p，hsa-miR-222-3p，hsa-miR-210-3p及 RNPS1，MGRN1作为 CP进展为 PC中关键节点。 41个 LncRNA结合关键 DEM，其中 MIAT，DANT2，TTN-AS1，PAXIP1-AS2和 LINC00473具有预后价值。综合以上结果，构建出包含 3个 DEM，2个基因和 5个 LncRNA的 ceRNA调控网络。结论 研究采用的整合分析方法有助于揭示 CP恶变的机制，构建的 LncRNA-miRNA-基因调控网络，为预测和治疗由 CP进展为 PC的患者提供了新的生物学靶点。
Abstract:
Objective To find the key miRNAs and their potential molecular mechanisms in the progression from chronic pancreatitis (CP) to pancreatic cancer (PC). Methods Microarray data GSE24279 and GSE25820 were downloaded from Gene Expression Omnibus (GEO) database, and screened out the differential expressed miRNAs (DEM) in CP and PC. Predicted the target gene and LncRNAs (long non-coding RNA) of DNA, and then carried out the enrichment analysis of target genes, constructed the Protein-protein interaction (PPI) and screened out the hinge genes and modules with special and prognosis of DEM, hinge genes and LncRNA, built the miRNA regulatory network based on the theory of competitive endogenous RNAs(ceRNA).Results 16 DEM were found both in GSE24279 and GSE25820, enrichment analyses showed that targets of overlapped DEM were significantly enriched in symbiont process, positive regulation of organelle organization, perinuclear region of cytoplasm and double-stranded RNA binding. From the PPI network, 17 nodes and 3 modules were selected. According to the expression and prognostic, 3 upregulated DEM (hsa-miR-221-3p, hsa-miR-222-3p, hsa-miR-210-3p) and 2 target genes (RNPS1 and MGRN1) were screened, subsequently, 41 LncRNAs were explored to potentiality bind to those 3 key DEM, 5 of them (MIAT, DANT2, TTN-AS1, PAXIP1-AS2 and LINC00473) had the positive prognostic value. finally, constructed a regulatory network based on competing endogenous RNA (ceRNA) hypothesis. Conclusion The methodology in this study contributed to understanding the pathogenesis involved in the progression from CP to PC, the novel LncRNA-miRNA-gene regulatory network can provide new clues to predict the development of PC in CP patients.

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备注/Memo

备注/Memo:
收稿日期：2022-11-14修回日期：2022-12-12
基金项目：中国人民解放军联勤保障部队第 901医院院管课题（NO.2021YGYB06）：ADAM8基因在胰腺癌中的表达及其启动子区甲基化状态相关性研究。
作者简介：张立洁（1983-），女，医学硕士，副主任医师，研究方向：肿瘤的分子诊断及靶向治疗， E-mail:zhanglijie0506@163.com。
通讯作者：彭泉，男，副主任医师，研究方向：肿瘤表观遗传学及生物信息学分析，E-mail:pengquan1983@163.com。

更新日期/Last Update: 2023-03-15