Background Colon adenocarcinoma (COAD) is one of the most common gastrointestinal cancers globally. Molecular aberrations of tumor suppressors and/or oncogenes are the main contributors to its tumorigenesis. However, the exact underlying mechanisms of COAD pathogenesis are not clear yet. Thus, there is an urgent need to indicate promising potential diagnostic and prognostic biomarkers in COAD patients. In the current study, level 3 RNA-seq and miR-seq data and corresponding clinical data of colon adenocarcinoma (COAD) were retrieved from the TCGA database.The “limma” package in R software was utilized to indicate the differentially expressed genes. For in silico functional analysis, GO and KEGG signaling pathways were conducted. PPI network was constructed based on the STRING online database by Cytoscape 3.7.2. A ceRNA network was also constructed by “GDCRNATools” package in R software. Kaplan-Meier survival analysis (log-rank test) was used to indicate the relation between RNA expressions with patient’s survival time.Results The differential expression data demonstrated that 1512 mRNAs, 188 lncRNAs, and 329 miRNAs were differentially expressed in COAD. The GO and KEGG pathway analysis indicated that the differentially expressed mRNAs were primarily enriched in canonical processes in cancer. The PPI network showed that the PPARGC1A, ADAMTS5, PTGS2, FGFR2, TBX1, TWIST1, KIT, BDNF and MET proteins were the critical hubs. The Kaplan-Meier analysis revealed that 128 mRNAs, 15 lncRNAs, and 39 miRNAs were associated with overall survival time in the patients. The ceRNA network data demonstrated that three lncRNA including MAGI2-AS3, NEAT1, and SNHG3 genes were involved in the development of COAD.Conclusions Altogether, we integrated differentially expressed mRNAs, lncRNAs, and miRNAs in COAD bioinformatically. Our data suggested promising lncRNAs in the diagnosis and prognosis of patients with COAD.