Profiling of the Prognostic Role of Extracellular Matrix-Related Genes in Neuroblastoma Using Databases and Integrated Bioinformatics
| cam.issuedOnline | 2022-05-19 | |
| dc.contributor.author | Jahangiri, Leila | |
| dc.contributor.orcid | Jahangiri, Leila [0000-0003-0235-8447] | |
| dc.date.accessioned | 2022-05-21T08:00:19Z | |
| dc.date.available | 2022-05-21T08:00:19Z | |
| dc.date.issued | 2022-05-19 | |
| dc.date.updated | 2022-05-21T08:00:18Z | |
| dc.description.abstract | <jats:p>A complex interaction occurs between cancer cells and the extracellular matrix (ECM) in the tumour microenvironment (TME). In this study, the expressions and mutational profiles of 964 ECM-related genes and their correlations with patient overall survival (OS) in neuroblastoma, an aggressive paediatric malignancy, were investigated using cBioPortal and PCAT databases. Furthermore, extended networks comprising protein-protein, protein-long non-coding RNA (lncRNA), and protein-miRNA of 12 selected ECM-related genes were established. The higher expressions of 12 ECM-related genes, AMBN, COLQ, ELFN1, HAS3, HSPE1, LMAN1, LRP5, MUC6, RAMP2, RUVBL2, SSBP1 and UMOD in neuroblastoma patients displayed a significant correlation with patient OS, while similar associations with neuroblastoma patient risk groups, histology and MYCN amplification were obtained. Furthermore, extended gene networks formed by these 12 ECM-related genes were established using Cytoscape, STRING, MSigDB/BioGRID, GeneMANIA and Omicsnet. Finally, the implications of the 12 ECM-related genes in other cancers were revealed using GEPIA2 and the Human Pathology Atlas databases. This meta-analysis showed the significance of these 12 ECM-related genes as putative prognostic predictors in neuroblastoma and other cancers.</jats:p> | |
| dc.identifier.doi | 10.17863/CAM.84773 | |
| dc.identifier.eissn | 2673-7523 | |
| dc.identifier.issn | 2673-7523 | |
| dc.identifier.uri | https://www.repository.cam.ac.uk/handle/1810/337359 | |
| dc.language | en | |
| dc.language.iso | eng | |
| dc.publisher | MDPI AG | |
| dc.publisher.url | http://dx.doi.org/10.3390/onco2020007 | |
| dc.subject | 31 Biological Sciences | |
| dc.subject | 3102 Bioinformatics and Computational Biology | |
| dc.subject | Rare Diseases | |
| dc.subject | Pediatric | |
| dc.subject | Genetics | |
| dc.subject | Neuroblastoma | |
| dc.subject | Neurosciences | |
| dc.subject | Cancer | |
| dc.subject | 2.1 Biological and endogenous factors | |
| dc.subject | 2 Aetiology | |
| dc.subject | Cancer | |
| dc.title | Profiling of the Prognostic Role of Extracellular Matrix-Related Genes in Neuroblastoma Using Databases and Integrated Bioinformatics | |
| dc.type | Article | |
| dcterms.dateAccepted | 2022-05-18 | |
| prism.endingPage | 112 | |
| prism.issueIdentifier | 2 | |
| prism.publicationName | Onco | |
| prism.startingPage | 85 | |
| prism.volume | 2 | |
| rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by/4.0/ | |
| rioxxterms.version | VoR | |
| rioxxterms.versionofrecord | 10.3390/onco2020007 |
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