胰腺癌中靶向基因的失调微小RNA的计算机鉴定

In Silico Identification of Dysregulated miRNAs Targeting Gene in Pancreatic Cancer.

作者信息

Garibaldi-Ríos Asbiel Felipe, Figuera Luis E, Zúñiga-González Guillermo Moisés, Gómez-Meda Belinda Claudia, García-Verdín Patricia Montserrat, Carrillo-Dávila Irving Alejandro, Gutiérrez-Hurtado Itzae Adonai, Torres-Mendoza Blanca Miriam, Gallegos-Arreola Martha Patricia

机构信息

División de Genética, Centro de Investigación Biomédica de Occidente (CIBO), Centro Médico Nacional de Occidente (CMNO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara 44340, Jalisco, Mexico.

Doctorado en Genética Humana, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Jalisco, Mexico.

出版信息

Diseases. 2024 Jul 12;12(7):152. doi: 10.3390/diseases12070152.

DOI:10.3390/diseases12070152

PMID:39057123

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11276408/

Abstract

Pancreatic cancer (PC) is highly lethal, with mutations in up to 95% of cases. miRNAs inversely correlate with expression, indicating potential as biomarkers. This study identified miRNAs targeting and their impact on PC characteristics using in silico methods. dbDEMC identified dysregulated miRNAs in PC; TargetScan, miRDB, and PolymiRTS 3.0 identified miRNAs specific for the gene; and OncomiR evaluated the association of miRNAs with clinical characteristics and survival in PC. The correlation between miRNAs and was analysed using ENCORI/starBase. A total of 210 deregulated miRNAs were identified in PC (116 overexpressed and 94 underexpressed). In total, 16 of them were involved in the regulation of expression and 9 of these (hsa-miR-222-3p, hsa-miR-30a-5p, hsa-miR-30b-5p, hsa-miR-30e-5p, hsa-miR-377-3p, hsa-miR-495-3p, hsa-miR-654-3p, hsa-miR-877-5p and hsa-miR-885-5p) were associated with the clinical characteristics of the PC. Specifically, the overexpression of hsa-miR-30a-5p was associated with PC mortality, and hsa-miR-30b-5p, hsa-miR-377-3p, hsa-miR-495-3p, and hsa-miR-885-5p were associated with survival. Correlation analysis revealed that the expression of 10 miRNAs is correlated with expression. The dysregulated miRNAs identified in PC may regulate and some are associated with clinically relevant features, highlighting their potential as biomarkers and therapeutic targets in PC treatment. However, experimental validation is required for confirmation.

摘要

胰腺癌（PC）具有高度致死性，高达95%的病例存在突变。微小RNA（miRNA）与表达呈负相关，表明其具有作为生物标志物的潜力。本研究使用计算机方法鉴定了靶向的miRNA及其对PC特征的影响。dbDEMC鉴定了PC中失调的miRNA；TargetScan、miRDB和PolymiRTS 3.0鉴定了该基因特异的miRNA；OncomiR评估了miRNA与PC临床特征和生存的关联。使用ENCORI/starBase分析了miRNA与之间的相关性。在PC中总共鉴定出210个失调的miRNA（116个过表达和94个低表达）。其中共有16个参与了表达的调控，其中9个（hsa-miR-222-3p、hsa-miR-30a-5p、hsa-miR-30b-5p、hsa-miR-30e-5p、hsa-miR-377-3p、hsa-miR-495-3p、hsa-miR-654-3p、hsa-miR-877-5p和hsa-miR-885-5p）与PC的临床特征相关。具体而言，hsa-miR-30a-5p的过表达与PC死亡率相关，hsa-miR-30b-5p、hsa-miR-377-3p、hsa-miR-495-3p和hsa-miR-885-5p与生存相关。相关性分析显示，10个miRNA的表达与表达相关。在PC中鉴定出的失调miRNA可能调控，并且一些与临床相关特征相关，突出了它们作为PC治疗中生物标志物和治疗靶点的潜力。然而，需要进行实验验证以确认。