Large set data mining reveals overexpressed GPCRs in prostate and breast cancer: potential for active targeting with engineered anti-cancer nanomedicines

dc.accessRightsAnonymous
dc.audienceScience
dc.contributor.authorKübler, Eric
dc.contributor.authorAlbrecht, Hugo
dc.date.accessioned2018-12-13T09:56:06Z
dc.date.available2018-12-13T09:56:06Z
dc.date.issued2018-05
dc.description.abstractOver 800 G-protein-coupled receptors (GPCRs) are encoded by the human genome and many are overexpressed in tumors. GPCRs are triggered by ligand molecules outside the cell and activate internal signal transduction pathways driving cellular responses. The receptor signals are desensitized by receptor internalization and this mechanism can be exploited for the specific delivery of ligand-linked drug molecules directly into cells. Detailed expression analysis in cancer tissue can inform the design of GPCR-ligand decorated drug carriers for active tumor cell targeting. The active targeting process utilizes ligand receptor interactions leading to binding and in most cases internalization of the ligand-attached drug carrier resulting in effective targeting of cancer cells. In this report public microarray data from the Gene Expression Omnibus (GEO) repository was used to identify overexpressed GPCRs in prostate and breast cancer tissues. The analyzed data confirmed previously known cancer receptor associations and identified novel candidates for potential active targeting. Prioritization of the identified targeting receptors is also presented based on high expression levels and frequencies in cancer samples but low expression in healthy tissue. Finally, some selected examples were used in ligand docking studies to assess the feasibility for chemical conjugation to drug nanocarriers without interference of receptor binding and activation. The presented data demonstrate a large untapped potential to improve efficacy and safety of current and future anti-cancer compounds through active targeting of GPCRs on cancer cells.
dc.identifier.doi10.18632/oncotarget.25427
dc.identifier.issn1949-2553
dc.identifier.urihttp://hdl.handle.net/11654/26967
dc.issue38
dc.language.isoenen_US
dc.publisherImpact Journals LLCen_US
dc.relation.ispartofOncotargeten_US
dc.subjectGCPR
dc.subjectPathology
dc.subjectcancer
dc.subjectmeta-data
dc.subjectnanocarrier
dc.subjecttargeted chemotherapy
dc.titleLarge set data mining reveals overexpressed GPCRs in prostate and breast cancer: potential for active targeting with engineered anti-cancer nanomedicines
dc.type01A - Beitrag in wissenschaftlicher Zeitschrift
dc.volume9
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.IsStudentsWorkno
fhnw.PublishedSwitzerlandNo
fhnw.ReviewTypeAnonymous ex ante peer review of a complete publication
fhnw.affiliation.hochschuleHochschule für Life Sciences FHNWde_CH
fhnw.affiliation.institutInstitut für Chemie und Bioanalytikde_CH
fhnw.pagination24882-24897
fhnw.publicationOnlineJa
fhnw.publicationStatePublished
relation.isAuthorOfPublication77be4b5b-df32-4082-89f5-d8e0b02cca6b
relation.isAuthorOfPublication.latestForDiscovery77be4b5b-df32-4082-89f5-d8e0b02cca6b
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