Publicação
Comprehensive Landscape of STEAP Family Members Expression in Human Cancers
| dc.contributor.author | Rocha, Sandra M. | |
| dc.contributor.author | Socorro, Sílvia | |
| dc.contributor.author | Passarinha, Luís A. | |
| dc.contributor.author | Maia, Cláudio J. | |
| dc.contributor.institution | UCIBIO - Applied Molecular Biosciences Unit | |
| dc.contributor.institution | DQ - Departamento de Química | |
| dc.contributor.pbl | MDPI - Multidisciplinary Digital Publishing Institute | |
| dc.date.accessioned | 2022-10-06T22:16:33Z | |
| dc.date.available | 2022-10-06T22:16:33Z | |
| dc.date.issued | 2022-05-11 | |
| dc.description | Project No. 007491 Project No. 029114 LA/P/0140/2020 Centro-01-0145-FEDER-000019-C4 | |
| dc.description.abstract | The human Six-Transmembrane Epithelial Antigen of the Prostate (STEAP) family com-prises STEAP1-4. Several studies have pointed out STEAP proteins as putative biomarkers, as well as therapeutic targets in several types of human cancers, particularly in prostate cancer. However, the relationships and significance of the expression pattern of STEAP1-4 in cancer cases are barely known. Herein, the Oncomine database and cBioPortal platform were selected to predict the differential expression levels of STEAP members and clinical prognosis. The most common expression pattern observed was the combination of the over-and underexpression of distinct STEAP genes, but cervical and gastric cancer and lymphoma showed overexpression of all STEAP genes. It was also found that STEAP genes’ expression levels were already deregulated in benign lesions. Regarding the prognostic value, it was found that STEAP1 (prostate), STEAP2 (brain and central nervous system), STEAP3 (kidney, leukemia and testicular) and STEAP4 (bladder, cervical, gastric) overexpression correlate with lower patient survival rate. However, in prostate cancer, overexpression of the STEAP4 gene was correlated with a higher survival rate. Overall, this study first showed that the expression levels of STEAP genes are highly variable in human cancers, which may be related to different patients’ outcomes. | en |
| dc.description.version | publishersversion | |
| dc.description.version | published | |
| dc.format.extent | 48 | |
| dc.format.extent | 2760355 | |
| dc.identifier.doi | 10.3390/data7050064 | |
| dc.identifier.issn | 2306-5729 | |
| dc.identifier.other | PURE: 46297629 | |
| dc.identifier.other | PURE UUID: 9ea2cbda-73e2-426b-a92b-57e39eaae46f | |
| dc.identifier.other | Scopus: 85130524735 | |
| dc.identifier.other | WOS: 000802723200001 | |
| dc.identifier.uri | http://hdl.handle.net/10362/144510 | |
| dc.identifier.url | https://www.scopus.com/pages/publications/85130524735 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00709%2F2020/PT | |
| dc.relation | Health Sciences Research Centre | |
| dc.relation | Applied Molecular Biosciences Unit | |
| dc.relation | Applied Molecular Biosciences Unit | |
| dc.subject | cBioPortal | |
| dc.subject | human cancers | |
| dc.subject | Oncomine | |
| dc.subject | prognosis | |
| dc.subject | STEAP members | |
| dc.subject | Information Systems | |
| dc.subject | Computer Science Applications | |
| dc.subject | Information Systems and Management | |
| dc.subject | SDG 3 - Good Health and Well-being | |
| dc.title | Comprehensive Landscape of STEAP Family Members Expression in Human Cancers | en |
| dc.title.subtitle | Unraveling the Potential Usefulness in Clinical Practice Using Integrated Bioinformatics Analysis | en |
| dc.type | journal article | |
| degois.publication.issue | 5 | |
| degois.publication.title | Data | |
| degois.publication.volume | 7 | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | UIDB/00709/2020 | |
| oaire.awardNumber | UIDB/04378/2020 | |
| oaire.awardNumber | UIDP/04378/2020 | |
| oaire.awardTitle | Health Sciences Research Centre | |
| oaire.awardTitle | Applied Molecular Biosciences Unit | |
| oaire.awardTitle | Applied Molecular Biosciences Unit | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00709%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04378%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04378%2F2020/PT | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | |
| relation.isProjectOfPublication | e7002a6a-1e2f-4df7-a57f-d88175c907ea | |
| relation.isProjectOfPublication | e07cf232-4705-4b5b-b2c4-af8f25311076 | |
| relation.isProjectOfPublication | 38373452-5c9c-4724-8def-f03314ecce0e | |
| relation.isProjectOfPublication.latestForDiscovery | e07cf232-4705-4b5b-b2c4-af8f25311076 |
