Identification of Prognostic and Predictive Biomarkers and Druggable Targets among 205 Antioxidant Genes in 21 Different Tumor Types via Data-Mining

Publication type:
Journal article
Metadata:
Autoren
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000940893000001&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.3390/pharmaceutics15020427
eISSN
1999-4923
Externe Identifier
  • Clarivate Analytics Document Solution ID: 9K5FG
  • PubMed Identifier: 36839749
Ausgabe der Veröffentlichung
2
Zeitschrift
PHARMACEUTICS
Schlüsselwörter
  • drug resistance
  • Kaplan-Meier analysis
  • oxidative stress
  • prognostic value
  • survival analysis
  • the cancer genome atlas
Artikelnummer
ARTN 427
Datum der Veröffentlichung
2023
Status
Published
Titel
Identification of Prognostic and Predictive Biomarkers and Druggable Targets among 205 Antioxidant Genes in 21 Different Tumor Types via Data-Mining
Sub types
  • Article
Ausgabe der Zeitschrift
15

Data source: Web of Science (Lite)

Other metadata sources:
Abstract
<jats:p>(1) Background: Oxidative stress is crucial in carcinogenesis and the response of tumors to treatment. Antioxidant genes are important determinants of resistance to chemotherapy and radiotherapy. We hypothesized that genes involved in the oxidative stress response may be valuable as prognostic biomarkers for the survival of cancer patients and as druggable targets. (2) Methods: We mined the KM Plotter and TCGA Timer2.0 Cistrome databases and investigated 205 antioxidant genes in 21 different tumor types within the context of this investigation. (3) Results: Of 4347 calculations with Kaplan–Meier statistics, 84 revealed statistically significant correlations between high gene expression and worse overall survival (p &lt; 0.05; false discovery rate ≤ 5%). The tumor types for which antioxidant gene expression was most frequently correlated with worse overall survival were renal clear cell carcinoma, renal papillary cell carcinoma, and hepatocellular carcinoma. Seventeen genes were clearly overexpressed in tumors compared to their corresponding normal tissues (p &lt; 0.001), possibly qualifying them as druggable targets (i.e., ALOX5, ALOX5AP, EPHX4, G6PD, GLRX3, GSS, PDIA4, PDIA6, PRDX1, SELENOH, SELENON, STIP1, TXNDC9, TXNDC12, TXNL1, TXNL4A, and TXNRD1). (4) Conclusions: We concluded that a sub-set of antioxidant genes might serve as prognostic biomarkers for overall survival and as druggable targets. Renal and liver tumors may be the most suitable entities for this approach.</jats:p>
Autoren
DOI
10.3390/pharmaceutics15020427
eISSN
1999-4923
Ausgabe der Veröffentlichung
2
Zeitschrift
Pharmaceutics
Sprache
en
Online publication date
2023
Paginierung
427 - 427
Status
Published online
Herausgeber
MDPI AG
Herausgeber URL
http://dx.doi.org/10.3390/pharmaceutics15020427
Datum der Datenerfassung
2023
Titel
Identification of Prognostic and Predictive Biomarkers and Druggable Targets among 205 Antioxidant Genes in 21 Different Tumor Types via Data-Mining
Ausgabe der Zeitschrift
15

Data source: Crossref

Abstract
(1) Background: Oxidative stress is crucial in carcinogenesis and the response of tumors to treatment. Antioxidant genes are important determinants of resistance to chemotherapy and radiotherapy. We hypothesized that genes involved in the oxidative stress response may be valuable as prognostic biomarkers for the survival of cancer patients and as druggable targets. (2) Methods: We mined the KM Plotter and TCGA Timer2.0 Cistrome databases and investigated 205 antioxidant genes in 21 different tumor types within the context of this investigation. (3) Results: Of 4347 calculations with Kaplan-Meier statistics, 84 revealed statistically significant correlations between high gene expression and worse overall survival (<i>p</i> < 0.05; false discovery rate ≤ 5%). The tumor types for which antioxidant gene expression was most frequently correlated with worse overall survival were renal clear cell carcinoma, renal papillary cell carcinoma, and hepatocellular carcinoma. Seventeen genes were clearly overexpressed in tumors compared to their corresponding normal tissues (<i>p</i> < 0.001), possibly qualifying them as druggable targets (i.e., <i>ALOX5</i>, <i>ALOX5AP</i>, <i>EPHX4</i>, <i>G6PD</i>, <i>GLRX3</i>, <i>GSS</i>, <i>PDIA4</i>, <i>PDIA6</i>, PRDX1, <i>SELENOH</i>, <i>SELENON</i>, <i>STIP1</i>, <i>TXNDC9</i>, <i>TXNDC12</i>, <i>TXNL1</i>, <i>TXNL4A</i>, and <i>TXNRD1</i>). (4) Conclusions: We concluded that a sub-set of antioxidant genes might serve as prognostic biomarkers for overall survival and as druggable targets. Renal and liver tumors may be the most suitable entities for this approach.
Addresses
  • Department of Pharmaceutical Biology, Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg University, Staudinger Weg 5, 55128 Mainz, Germany.
Autoren
DOI
10.3390/pharmaceutics15020427
eISSN
1999-4923
Externe Identifier
  • PubMed Identifier: 36839749
  • PubMed Central ID: PMC9959161
Open access
true
ISSN
1999-4923
Ausgabe der Veröffentlichung
2
Zeitschrift
Pharmaceutics
Sprache
eng
Medium
Electronic
Online publication date
2023
Open access status
Open Access
Paginierung
427
Datum der Veröffentlichung
2023
Status
Published
Publisher licence
CC BY
Datum der Datenerfassung
2023
Titel
Identification of Prognostic and Predictive Biomarkers and Druggable Targets among 205 Antioxidant Genes in 21 Different Tumor Types via Data-Mining.
Sub types
  • research-article
  • Journal Article
Ausgabe der Zeitschrift
15

Files

https://www.mdpi.com/1999-4923/15/2/427/pdf?version=1674886702 https://europepmc.org/articles/PMC9959161?pdf=render

Data source: Europe PubMed Central

Abstract
(1) Background: Oxidative stress is crucial in carcinogenesis and the response of tumors to treatment. Antioxidant genes are important determinants of resistance to chemotherapy and radiotherapy. We hypothesized that genes involved in the oxidative stress response may be valuable as prognostic biomarkers for the survival of cancer patients and as druggable targets. (2) Methods: We mined the KM Plotter and TCGA Timer2.0 Cistrome databases and investigated 205 antioxidant genes in 21 different tumor types within the context of this investigation. (3) Results: Of 4347 calculations with Kaplan-Meier statistics, 84 revealed statistically significant correlations between high gene expression and worse overall survival (p < 0.05; false discovery rate ≤ 5%). The tumor types for which antioxidant gene expression was most frequently correlated with worse overall survival were renal clear cell carcinoma, renal papillary cell carcinoma, and hepatocellular carcinoma. Seventeen genes were clearly overexpressed in tumors compared to their corresponding normal tissues (p < 0.001), possibly qualifying them as druggable targets (i.e., ALOX5, ALOX5AP, EPHX4, G6PD, GLRX3, GSS, PDIA4, PDIA6, PRDX1, SELENOH, SELENON, STIP1, TXNDC9, TXNDC12, TXNL1, TXNL4A, and TXNRD1). (4) Conclusions: We concluded that a sub-set of antioxidant genes might serve as prognostic biomarkers for overall survival and as druggable targets. Renal and liver tumors may be the most suitable entities for this approach.
Date of acceptance
2023
Autoren
Autoren-URL
https://www.ncbi.nlm.nih.gov/pubmed/36839749
DOI
10.3390/pharmaceutics15020427
Externe Identifier
  • PubMed Central ID: PMC9959161
ISSN
1999-4923
Ausgabe der Veröffentlichung
2
Zeitschrift
Pharmaceutics
Schlüsselwörter
  • Kaplan–Meier analysis
  • drug resistance
  • oxidative stress
  • prognostic value
  • survival analysis
  • the cancer genome atlas
Sprache
eng
Country
Switzerland
PII
pharmaceutics15020427
Datum der Veröffentlichung
2023
Status
Published online
Titel
Identification of Prognostic and Predictive Biomarkers and Druggable Targets among 205 Antioxidant Genes in 21 Different Tumor Types via Data-Mining.
Sub types
  • Journal Article
Ausgabe der Zeitschrift
15

Data source: PubMed

Beziehungen:
Property of

Tools