Publication:
Systems biomarkers for papillary thyroid cancer prognosis and treatment through multi-omics networks

dc.contributor.authorTURANLI, BESTE
dc.contributor.authorARĞA, KAZIM YALÇIN
dc.contributor.authorÖZBEK SARICA, PEMRA
dc.contributor.authorsGulfidan, Gizem; Soylu, Melisa; Demirel, Damla; Erdonmez, Habib Burak Can; Beklen, Hande; Sarica, Pemra Ozbek; Arga, Kazim Yalcin; Turanli, Beste
dc.date.accessioned2022-03-12T22:59:38Z
dc.date.accessioned2026-01-11T15:46:56Z
dc.date.available2022-03-12T22:59:38Z
dc.date.issued2022
dc.description.abstractThe identification of biomolecules associated with papillary thyroid cancer (PTC) has upmost importance for the elucidation of the disease mechanism and the development of effective diagnostic and treatment strategies. Despite particular findings in this regard, a holistic analysis encompassing molecular data from different bio-logical levels has been lacking. In the present study, a meta-analysis of four transcriptome datasets was per -formed to identify gene expression signatures in PTC, and reporter molecules were determined by mapping gene expression data onto three major cellular networks, i.e., transcriptional regulatory, protein-protein interaction, and metabolic networks. We identified 282 common genes that were differentially expressed in all PTC datasets. In addition, six proteins (FYN, JUN, LYN, PML, SIN3A, and RARA), two Erb-B2 receptors (ERBB2 and ERBB4), two cyclin-dependent receptors (CDK1 and CDK2), and three histone deacetylase receptors (HDAC1, HDAC2, and HDAC3) came into prominence as proteomic signatures in addition to several metabolites including lactaldehyde and proline at the metabolome level. Significant associations with calcium and MAPK signaling pathways and transcriptional and post-transcriptional activities of 12 TFs and 110 miRNAs were also observed at the regulatory level. Among them, six miRNAs (miR-30b-3p, miR-15b-5p, let-7a-5p, miR-130b-3p, miR-424-5p, and miR-193b-3p) were associated with PTC for the first time in the literature, and the expression levels of miR-30b-3p, miR-15b-5p, and let-7a-5p were found to be predictive of disease prognosis. Drug repositioning and molecular docking simulations revealed that 5 drugs (prochlorperazine, meclizine, rottlerin, cephaeline, and tretinoin) may be useful in the treatment of PTC. Consequently, we report here biomolecule candidates that may be considered as prognostic biomarkers or potential therapeutic targets for further experimental and clinical trials for PTC.
dc.identifier.doi10.1016/j.abb.2021.109085
dc.identifier.eissn1096-0384
dc.identifier.issn0003-9861
dc.identifier.pubmed34800440
dc.identifier.urihttps://hdl.handle.net/11424/237328
dc.identifier.wosWOS:000728571200001
dc.language.isoeng
dc.publisherELSEVIER SCIENCE INC
dc.relation.ispartofARCHIVES OF BIOCHEMISTRY AND BIOPHYSICS
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectPapillary thyroid carcinoma
dc.subjectThyroid cancer
dc.subjectBiomarker
dc.subjectRegulatory network
dc.subjectProtein-protein interaction network
dc.subjectMetabolic network
dc.subjectTYROSINE KINASE INHIBITORS
dc.subjectFOCAL ADHESION KINASE
dc.subjectEXPRESSION PROFILES
dc.subjectGENE-EXPRESSION
dc.subjectMOLECULAR SIGNATURES
dc.subjectCELL PROLIFERATION
dc.subjectHSP90 INHIBITION
dc.subjectDOWN-REGULATION
dc.subjectRETINOIC ACID
dc.subjectUP-REGULATION
dc.titleSystems biomarkers for papillary thyroid cancer prognosis and treatment through multi-omics networks
dc.typearticle
dspace.entity.typePublication
oaire.citation.titleARCHIVES OF BIOCHEMISTRY AND BIOPHYSICS
oaire.citation.volume715

Files