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Τύπος: Άρθρο σε επιστημονικό περιοδικό
Τίτλος: Analysis of TCGA data of differentially expressed EMT‑related genes and miRNAs across various malignancies to identify potential biomarkers
Συγγραφέας: [EL] Κυρίτσης, Κωνσταντίνος[EN] Kyritsis, Konstantinossemantics logo
[EL] Ακριβού, Μελπομένη[EN] Akrivou, Melpomenisemantics logo
[EL] Γιασσαφάκη, Λευκη-Παυλίνα[EN] Giassafaki, Lefki-Pavlinasemantics logo
[EL] Γρηγοριάδης, Νικόλαος[EN] Grigoriadis, Nikolaossemantics logo
[EL] Βιζιριανάκης, Ιωάννης[EN] Vizirianakis, Ioannissemantics logo
Ημερομηνία: 02/12/2020
Περίληψη: Tumor heterogeneity presents a hindering factor that leads to therapeutic failures and limits the improvement of clinical outcomes within the concept of precision medicine. This heterogenous characteristic provides the epithelial mesenchymal plasticity that is considered an advantage for cancer cell metabolism and genome function to be adjusted within the microenvironment, and also plays a role in the development of drug resistance and metastasis. To this respect, identifying druggable molecular targets that modulate signaling networks, which contribute to cancer cell heterogeneity, could provide innovative therapeutics with improved safety and efficacy profiles. The present study attempted to identify potentially druggable molecular targets that have been connected to the process of epithelial‑to‑mesenchymal transition (EMT). Towards this goal, gene and miRNA differential expression analyses were performed for cancer patients with 4 and 3 different tumor types, respectively, using data that were retrieved from The Cancer Genome Atlas (TCGA) program. Furthermore, the dbEMT 1.0 database was used to limit the results to differentially expressed molecular targets that have already been associated with EMT. The analysis resulted in the identification of multiple EMT‑associated genes and miRNAs for all types of cancer, which, through pairwise comparisons, were separated into groups of common potential targets for different malignancies. Differential gene expression profiling by RT‑qPCR analysis was also carried out for a number of selected genes and miR‑21 in human cancer cell lines. Notably, EMT‑associated homeobox B9 (HOXB9) and miR‑137 were found to have a deregulated expression in all malignancies examined, thus increasing their potential as druggable targets for cancer therapy. Overall, the present study presents an approach that, through systematic in silico analysis, could lead to the selection of potential druggable biomarkers of broader utility for several tumor types, irrespective of their tissue of origin.
Γλώσσα: Αγγλικά
Σελίδες: 14
DOI: 10.3892/wasj.2020.77
ISSN: 2632-2900
Θεματική κατηγορία: [EL] Επιστήμες Υγείας[EN] Health Sciencessemantics logo
Λέξεις-κλειδιά: epithelial‑to‑mesenchymal transitionthe cancer genome atlasRNA‑SeqmiRNA‑Seqmeta‑analysisdruggable targetsanticancer therapeutics
Κάτοχος πνευματικών δικαιωμάτων: © by the author(s)
Όροι και προϋποθέσεις δικαιωμάτων: This is an open access article distributed under the terms of Creative Commons Attribution License.
Ηλεκτρονική διεύθυνση του τεκμηρίου στον εκδότη: https://www.spandidos-publications.com/10.3892/wasj.2020.77
Ηλεκτρονική διεύθυνση περιοδικού: https://www.spandidos-publications.com/wasj
Τίτλος πηγής δημοσίευσης: World Academy of Sciences Journal
Τεύχος: 1
Τόμος: 3
Σελίδες τεκμηρίου (στην πηγή): Article no 6
Σημειώσεις: The present study was funded in the context of the project ‘Molecular signatures analysis of three‑dimensional cell cultures and circulating tumor cells in the treatment of cancer’ (MIS 5004622) under the call for proposals ‘Supporting researchers with emphasis on new researchers’ (EDULLL 34). The project was co‑financed by Greece and the European Union (European Social Fund‑ESF) by the Operational Programme Human Resources Development, Education and Lifelong Learning 2014‑2020.
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