Home LiteratureArticle Details
PMID: 34800440 Published · ppublish English

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

Archives of biochemistry and biophysics ·Vol. 715 ·2022-00-15

Gulfidan G, Soylu M, Demirel D, Erdonmez HBC, Beklen H, Ozbek Sarica P, Arga KY, Turanli B

Abstract

The 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 biological levels has been lacking. In the present study, a meta-analysis of four transcriptome datasets was performed 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.

Keywords
Biomarker Metabolic network Papillary thyroid carcinoma Protein-protein interaction network Regulatory network Thyroid cancer
MeSH 主题词
Antineoplastic Agents/metabolism Biomarkers, Tumor/genetics Drug Repositioning Gene Expression/physiology Gene Expression Profiling Humans MicroRNAs/genetics Molecular Docking Simulation Protein Binding Proteomics Thyroid Cancer, Papillary/genetics Thyroid Neoplasms/genetics Transcriptome/physiology
Article Info
Journal
Archives of biochemistry and biophysics
Abbr.
Arch Biochem Biophys
ISSN
1096-0384
Corresponding email
Published
2022-00-15
Language
English
Country/Region
United States
NLM ID
0372430
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]