Affiliation:
1. Research Center for Molecular Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
2. Department of Basic Science, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3. Department of Otorhinolaryngology, Besat Hospital, Hamadan University of Medical Sciences, Hamadan, Iran
Abstract
Background:
For the study purposes, the miRNA dataset GSE130512 was downloaded from the GEO
database and then analyzed to identify the common differentially expressed miRNAs in patients
with non-metastatic PTC (nm-PTC)/metastatic PTC (m-PTC) compared with BTNs. The SVM was
also applied to differentiate patients with PTC from those patients with BTN using the common
DEMs. A protein-protein interaction network was also constructed based on the targets of the common
DEMs. Next, functional analysis was performed, the hub genes were determined, and survival
analysis was then executed.
Methods:
For the study purposes, the miRNA dataset GSE130512 was downloaded from the GEO
database and then analyzed to identify the common differentially expressed miRNAs in patients
with non-metastatic PTC (nm-PTC)/metastatic PTC (m-PTC) compared with BTNs. The SVM was
also applied to differentiate patients with PTC from those patients with BTN using the common
DEMs. A protein-protein interaction network was also constructed based on the targets of the common
DEMs. Next, functional analysis was performed, the hub genes were determined, and survival
analysis was then executed.
Results:
A total of three common miRNAs were found to be differentially expressed among patients
with nm-PTC/m-PTC compared with BTNs. In addition, it was established that the autophagosome
maturation, ciliary basal body-plasma membrane docking, antigen processing as ubiquitination
& proteasome degradation, and class I MHC mediated antigen processing & presentation are
associated with the pathogenesis of PTC. Furthermore, it was illustrated that RPS6KB1, CCNT1,
SP1, and CHD4 might serve as new potential biomarkers for PTC prognosis.
Conclusions:
RPS6KB1, CCNT1, SP1, and CHD4 may be considered new potential biomarkers
used for prognostic aims in PTC. However, performing validation tests is inevitable in the future.
Publisher
Bentham Science Publishers Ltd.
Subject
Orthopedics and Sports Medicine,Emergency Medicine,General Medicine
Cited by
9 articles.
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