Identification of thioredoxin domain containing family members' expression pattern and prognostic value in diffuse gliomas via in silico analysis

Abstract Background Gliomas are the most prevalent primary tumors of the central nervous system. Their aggressive nature and the obstacles arising during therapy highlights the importance of finding new prognostic markers and therapy targets for gliomas. TXNDC genes are members of the thioredoxin su...

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Main Author: Begüm Kocatürk
Format: Article
Language:English
Published: Wiley 2023-02-01
Series:Cancer Medicine
Subjects:
Online Access:https://doi.org/10.1002/cam4.5169
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author Begüm Kocatürk
author_facet Begüm Kocatürk
author_sort Begüm Kocatürk
collection DOAJ
description Abstract Background Gliomas are the most prevalent primary tumors of the central nervous system. Their aggressive nature and the obstacles arising during therapy highlights the importance of finding new prognostic markers and therapy targets for gliomas. TXNDC genes are members of the thioredoxin superfamily and were shown to play a role in redox homeostasis, protein folding, electron transfer and also acting as cellular adapters. The well known contribution of these processes in cancer progression prompted us to investigate if TXNDC family members may also play a role in carcinogenesis, in particular diffuse gliomas. Methods The present study used in silico analysis tools GEPIA, UCSC Xena, Gliovis, cBioPortal, and Ivy GAP to evaluate the expression pattern, prognostic value and clinical significance of TXNDC family members in diffuse gliomas. Results Our analysis showed that TXNDC family members' expression pattern differ between tumors and healthy tissues and among tumors with different grades. The detailed analysis of TXNDC5 in glioma pathogenesis revealed that TXNDC5 expression is associated with more aggressive clinical and molecular features and poor therapy success both in LGG and GBM samples. Kaplan–Meier survival curves represented a worse prognosis for patients with leveated TXNDC5 levels in LGG and all grade glioma patients. The levels of TXNDC5 was shown to be possibly regulated by hypoxia‐ER stress axis and a potential mechanism for TXNDC5‐driven glioma progression was found to be extracellular matrix (ECM) production which is known to promote tumor aggressiveness. Conclusions Our results uncovered the previously unknown role of TXNDC family members in glioma pathogenesis and showed that TXNDC5 levels could serve as a predictor of clinical outcome and therapy success and may very well be used for targeted therapy.
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spelling doaj-art-4d6e3051fe0c4db0b5c741567d9455722024-11-25T07:56:32ZengWileyCancer Medicine2045-76342023-02-011233830384410.1002/cam4.5169Identification of thioredoxin domain containing family members' expression pattern and prognostic value in diffuse gliomas via in silico analysisBegüm Kocatürk0Department of Basic Oncology Hacettepe University Cancer Institute Ankara TurkeyAbstract Background Gliomas are the most prevalent primary tumors of the central nervous system. Their aggressive nature and the obstacles arising during therapy highlights the importance of finding new prognostic markers and therapy targets for gliomas. TXNDC genes are members of the thioredoxin superfamily and were shown to play a role in redox homeostasis, protein folding, electron transfer and also acting as cellular adapters. The well known contribution of these processes in cancer progression prompted us to investigate if TXNDC family members may also play a role in carcinogenesis, in particular diffuse gliomas. Methods The present study used in silico analysis tools GEPIA, UCSC Xena, Gliovis, cBioPortal, and Ivy GAP to evaluate the expression pattern, prognostic value and clinical significance of TXNDC family members in diffuse gliomas. Results Our analysis showed that TXNDC family members' expression pattern differ between tumors and healthy tissues and among tumors with different grades. The detailed analysis of TXNDC5 in glioma pathogenesis revealed that TXNDC5 expression is associated with more aggressive clinical and molecular features and poor therapy success both in LGG and GBM samples. Kaplan–Meier survival curves represented a worse prognosis for patients with leveated TXNDC5 levels in LGG and all grade glioma patients. The levels of TXNDC5 was shown to be possibly regulated by hypoxia‐ER stress axis and a potential mechanism for TXNDC5‐driven glioma progression was found to be extracellular matrix (ECM) production which is known to promote tumor aggressiveness. Conclusions Our results uncovered the previously unknown role of TXNDC family members in glioma pathogenesis and showed that TXNDC5 levels could serve as a predictor of clinical outcome and therapy success and may very well be used for targeted therapy.https://doi.org/10.1002/cam4.5169bioinformaticscancer biologymolecular biologyoncogenesprognostic factor
spellingShingle Begüm Kocatürk
Identification of thioredoxin domain containing family members' expression pattern and prognostic value in diffuse gliomas via in silico analysis
Cancer Medicine
bioinformatics
cancer biology
molecular biology
oncogenes
prognostic factor
title Identification of thioredoxin domain containing family members' expression pattern and prognostic value in diffuse gliomas via in silico analysis
title_full Identification of thioredoxin domain containing family members' expression pattern and prognostic value in diffuse gliomas via in silico analysis
title_fullStr Identification of thioredoxin domain containing family members' expression pattern and prognostic value in diffuse gliomas via in silico analysis
title_full_unstemmed Identification of thioredoxin domain containing family members' expression pattern and prognostic value in diffuse gliomas via in silico analysis
title_short Identification of thioredoxin domain containing family members' expression pattern and prognostic value in diffuse gliomas via in silico analysis
title_sort identification of thioredoxin domain containing family members expression pattern and prognostic value in diffuse gliomas via in silico analysis
topic bioinformatics
cancer biology
molecular biology
oncogenes
prognostic factor
url https://doi.org/10.1002/cam4.5169
work_keys_str_mv AT begumkocaturk identificationofthioredoxindomaincontainingfamilymembersexpressionpatternandprognosticvalueindiffusegliomasviainsilicoanalysis