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Update of gene expression/methylation and MiRNA profiling in colorectal cancer; application in diagnosis, prognosis, and targeted therapy.
- Source :
-
PloS one [PLoS One] 2022 Mar 25; Vol. 17 (3), pp. e0265527. Date of Electronic Publication: 2022 Mar 25 (Print Publication: 2022). - Publication Year :
- 2022
-
Abstract
- Background: Colorectal cancer is one of the most deadliest malignancies worldwide. Due to the dearth of appropriate biomarkers, the diagnosis of this mortal disease is usually deferred, in its turn, culminating in the failure of prevention. By the same token, proper biomarkers are at play in determining the quality of prognosis. In other words, the survival rate is contingent upon the regulation of such biomarkers.<br />Materials and Methods: The information regarding expression (GSE41258, and GSE31905), methylation (GSE101764), and miRNA (dbDEMC) were downloaded. MEXPRESS and GEPIA confirmed the validated differentially expressed/methylated genes using TCGA data. Taking advantage of the correlation plots and receiver-operating-characteristic (ROC) curves, expression and methylation profiles were compared. The interactions between validated differentially expressed genes and differentially expressed miRNA were recognized and visualized by miRTarBase and Cytoscape, respectively. Then, the protein-protein interaction (PPI) network and hub genes were established via STRING and Cytohubba plugin. Utilizing R packages (DOSE, Enrichplot, and clusterProfiler) and DAVID database, the Functional Enrichment analysis and the detection of KEGG pathways were performed. Ultimately, in order to recognize the prognostic value of found biomarkers, they were evaluated through drawing survival plots for CRC patients.<br />Results: In this research, we found an expression profile (with 13 novel genes), a methylation profile (with two novel genes), and a miRNA profile with diagnostic value. Concerning diagnosis, the expression profile was evaluated more powerful in comparison with the methylation profile. Furthermore, a prognosis-related expression profile was detected.<br />Conclusion: In addition to diagnostic- and prognostic-applicability, the discerned profiles can assist in targeted therapy and current therapeutic strategies.<br />Competing Interests: The authors have declared that no competing interests exist.
- Subjects :
- Biomarkers, Tumor genetics
Biomarkers, Tumor metabolism
Computational Biology
Gene Expression
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Gene Regulatory Networks
Humans
Methylation
Prognosis
Protein Interaction Maps genetics
Colorectal Neoplasms diagnosis
Colorectal Neoplasms genetics
Colorectal Neoplasms therapy
MicroRNAs genetics
MicroRNAs metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1932-6203
- Volume :
- 17
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- PloS one
- Publication Type :
- Academic Journal
- Accession number :
- 35333898
- Full Text :
- https://doi.org/10.1371/journal.pone.0265527