期刊论文详细信息
BMC Medical Genomics
Bioinformatic analysis reveals an exosomal miRNA-mRNA network in colorectal cancer
Lei Huang1  Jianxia Qiao1  Peilong Wang1  Jianhong Li2  Jun Ma3 
[1] Department of Endoscopy, Heji Hospital Affiliated To Changzhi Medical College, 046011, Changzhi, Shanxi, China;Department of Pathology, Heping Hospital Affiliated To Changzhi Medical College, 160 East Jiefang Street, 046000, Changzhi, Shanxi, China;Department of Thoracic Surgery, Heji Hospital Affiliated To Changzhi Medical College, 046011, Changzhi, Shanxi, China;
关键词: Colorectal cancer;    Exosome;    Differential expression analysis;    Machine learning;    MiRNA;   
DOI  :  10.1186/s12920-021-00905-2
来源: Springer
PDF
【 摘 要 】

BackgroundExosomes play important roles in angiogenesis, drug resistance, and metastasis of colorectal cancer (CRC), but the underlying mechanism has seldom been reported. Herein, our study aimed to reveal an exosomal miRNA-mRNA network involved in CRC by performing bioinformatical analysis.MethodsThe mRNA and miRNA data of colon adenocarcinoma and rectal adenocarcinoma were downloaded from The Cancer Genome Atlas (TCGA) database, and exosomal miRNAs data were downloaded from the GEO dataset GSE39833. The differential expression analysis was performed using “limma” and “edgeR”. Target mRNAs of miRNAs were predicted using FunRich 3.1.3, miRNAtap and multiMiR. The candidate mRNAs and exosomal miRNAs were obtained by intersecting two groups of differentially expressed miRNAs and intersection of the differential expressed mRNAs and the target mRNAs, respectively. Key mRNAs and exosomal miRNAs were identified by the least absolute shrinkage and selection operator regression analysis, and used to construct the exosomal miRNA-mRNA network. The network verified was by receiver operating characteristic curve, GEPIA and LinkedOmics. Functional enrichment analysis was also performed for studied miRNAs and mRNAs.ResultsA total of 6568 differentially expressed mRNAs and 531 differentially expressed miRNAs from TCGA data, and 166 differentially expressed exosomal miRNAs in GSE39833 dataset were identified. Next, 16 key mRNAs and five key exosomal miRNAs were identified from the 5284 candidate mRNAs and 61 candidate exosomal miRNAs, respectively. The exosomal miRNA-mRNA network with high connectivity contained 13 hub mRNAs (CBFB, CDH3, ETV4, FOXQ1, FUT1, GCNT2, GRIN2D, KIAA1549, KRT80, LZTS1, SLC39A10, SPTBN2, and ZSWIM4) and five hub exosomal miRNAs (hsa-miR-126, hsa-miR-139, hsa-miR-141, hsa-miR-29c, and hsa-miR-423). The functional annotation revealed that these hub mRNAs were mainly involved in the regulation of B cell receptor signaling pathway and glycosphingolipid biosynthesis related pathways. All hub mRNAs and hub exosomal miRNAs exhibited high diagnosis value for CRC. Furthermore, the association of the hub mRNAs with overall survival, stages, and MSI phenotype of CRC revealed their important roles in CRC progression.ConclusionThis study constructed an exosomal miRNA-mRNA network which may play crucial roles in the carcinogenesis and progression of CRC, thus providing potential diagnostic biomarkers and therapeutic targets for CRC.

【 授权许可】

CC BY   

【 预 览 】
附件列表
Files Size Format View
RO202106298358182ZK.pdf 8074KB PDF download
  文献评价指标  
  下载次数:2次 浏览次数:2次