Microarray-based Prediction of Cytotoxicity of Tumor Cells to Arsenic Trioxide.

Publication type:
Journal article
Metadata:
Abstract
Arsenic has been used since ancient times as a medicinal agent. Currently, arsenic trioxide is experiencing a thriving revival in modern oncology. The aim of this study was to identify the molecular predictors of sensitivity and resistance to arsenic trioxide. We mined the microarray database of the National Cancer Institute (NCI), USA, for genes whose expression correlated with the IC<sub>50</sub> values for arsenic trioxide of 60 cell lines of different tumor types. By COMPARE analysis, Kendall's τ test, and false discovery rate (FDR) analyses, 47 out of 9706 genes or expressed sequence tags (ESTs) were identified. If the mRNA expression of the 47 genes or ESTs was subjected to hierarchical cluster analysis and cluster image mapping, sensitivity or resistance of the 60 cell lines to arsenic trioxide was predictable with statistical significance (p=1.01 × 10<sup>-5</sup>). While the proteins encoded by the 47 genes identified differ in their specific functions (signal transducers, transcription factors, proteasome degradation proteins, proliferation-related proteins, regulators of oxidative stress etc.), it is intriguing that many of them are in one way or another involved in the apoptotic machinery, indicating that apoptosis is an important mechanism of arsenic trioxide's cytotoxicity.
Addresses
  • Center for Molecular Biology, University of Heidelberg, Im Neuenheimer Feld 282, 69120 Heidelberg.
Autoren
eISSN
1790-6245
Externe Identifier
  • PubMed Identifier: 31394629
Open access
false
ISSN
1109-6535
Ausgabe der Veröffentlichung
5-6
Zeitschrift
Cancer genomics & proteomics
Sprache
eng
Medium
Print-Electronic
Online publication date
2004
Paginierung
363 - 370
Datum der Veröffentlichung
2004
Status
Published
Datum der Datenerfassung
2019
Titel
Microarray-based Prediction of Cytotoxicity of Tumor Cells to Arsenic Trioxide.
Sub types
  • Journal Article
Ausgabe der Zeitschrift
1

Data source: Europe PubMed Central

Other metadata sources:
Abstract
Arsenic has been used since ancient times as a medicinal agent. Currently, arsenic trioxide is experiencing a thriving revival in modern oncology. The aim of this study was to identify the molecular predictors of sensitivity and resistance to arsenic trioxide. We mined the microarray database of the National Cancer Institute (NCI), USA, for genes whose expression correlated with the IC50 values for arsenic trioxide of 60 cell lines of different tumor types. By COMPARE analysis, Kendall's τ test, and false discovery rate (FDR) analyses, 47 out of 9706 genes or expressed sequence tags (ESTs) were identified. If the mRNA expression of the 47 genes or ESTs was subjected to hierarchical cluster analysis and cluster image mapping, sensitivity or resistance of the 60 cell lines to arsenic trioxide was predictable with statistical significance (p=1.01 × 10-5). While the proteins encoded by the 47 genes identified differ in their specific functions (signal transducers, transcription factors, proteasome degradation proteins, proliferation-related proteins, regulators of oxidative stress etc.), it is intriguing that many of them are in one way or another involved in the apoptotic machinery, indicating that apoptosis is an important mechanism of arsenic trioxide's cytotoxicity.
Date of acceptance
2004
Autoren
Autoren-URL
https://www.ncbi.nlm.nih.gov/pubmed/31394629
eISSN
1790-6245
Ausgabe der Veröffentlichung
5-6
Zeitschrift
Cancer Genomics Proteomics
Sprache
eng
Country
Greece
Paginierung
363 - 370
PII
1/5-6/363
Datum der Veröffentlichung
2004
Status
Published
Titel
Microarray-based Prediction of Cytotoxicity of Tumor Cells to Arsenic Trioxide.
Sub types
  • Journal Article
Ausgabe der Zeitschrift
1

Data source: PubMed

Beziehungen:
Property of

Tools