Protein Expression Profiles Indicative for Drug Resistance of Kidney Carcinoma.

Publication type:
Journal article
Metadata:
Abstract
The purpose of this investigation was to evaluate whether different protein patterns exist between drug-sensitive and drug-resistant kidney carcinomas. As a first step, expressions of drug resistance proteins (P-glycoprotein (P-gp), glutathione S-transferase-σ (GST-σ), DNA topoisomerase IIα (Topo IIα), alkaline phosphatase (AP), catalase, thymidylate synthetase, metallothionein), signal transducers (protein kinase Cα/β (PKCα/β)), proliferation-associated proteins (Ki-67) and proteins of proto-oncogenes and tumor suppressors (ErbB1, ErbB2, Fos, Jun, Myc, Ras and p53) of primary cell cultures of human kidney carcinomas of 18 patients were determined. The expression levels of the proteins were compared with the response to doxorubicin, vincristine or mafosfamide measured by growth inhibition and nucleotide incorporation assays. As a second step, those proteins showing a relationship to doxorubicin resistance (P-gp, GST-σ, Topo IIα, PKCα/β, AP, ErbB1, ErbB2, Fos, K-Ras, p53, and Ki-67) were analyzed by hierarchical cluster analysis and clustered image mapping. The resulting clusters were correlated with the drug resistance data. The data shows that different protein expression profiles exist between drug-resistant and -sensitive kidney carcinoma cell cultures. Finally, the clustered image map (CIM) demonstrates a sensitive area that is characterized by a lower expression of proteins and a resistant area with a higher expression of proteins. These results may have important implications for the diagnosis and therapy of kidney cancer. The resistance proteins and the resistance-related factors found in the present analysis may be suitable parameters to predict treatment outcome of kidney cancer.
Addresses
  • Center for Molecular Biology, University of Heidelberg, Im Neuenheimer Feld 282, 69120 Heidelberg.
Autoren
eISSN
1790-6245
Externe Identifier
  • PubMed Identifier: 31394613
Open access
false
ISSN
1109-6535
Ausgabe der Veröffentlichung
1
Zeitschrift
Cancer genomics & proteomics
Sprache
eng
Medium
Print-Electronic
Online publication date
2004
Paginierung
17 - 22
Datum der Veröffentlichung
2004
Status
Published
Datum der Datenerfassung
2019
Titel
Protein Expression Profiles Indicative for Drug Resistance of Kidney Carcinoma.
Sub types
  • Journal Article
Ausgabe der Zeitschrift
1

Data source: Europe PubMed Central

Other metadata sources:
Abstract
The purpose of this investigation was to evaluate whether different protein patterns exist between drug-sensitive and drug-resistant kidney carcinomas. As a first step, expressions of drug resistance proteins (P-glycoprotein (P-gp), glutathione S-transferase-σ (GST-σ), DNA topoisomerase IIα (Topo IIα), alkaline phosphatase (AP), catalase, thymidylate synthetase, metallothionein), signal transducers (protein kinase Cα/β (PKCα/β)), proliferation-associated proteins (Ki-67) and proteins of proto-oncogenes and tumor suppressors (ErbB1, ErbB2, Fos, Jun, Myc, Ras and p53) of primary cell cultures of human kidney carcinomas of 18 patients were determined. The expression levels of the proteins were compared with the response to doxorubicin, vincristine or mafosfamide measured by growth inhibition and nucleotide incorporation assays. As a second step, those proteins showing a relationship to doxorubicin resistance (P-gp, GST-σ, Topo IIα, PKCα/β, AP, ErbB1, ErbB2, Fos, K-Ras, p53, and Ki-67) were analyzed by hierarchical cluster analysis and clustered image mapping. The resulting clusters were correlated with the drug resistance data. The data shows that different protein expression profiles exist between drug-resistant and -sensitive kidney carcinoma cell cultures. Finally, the clustered image map (CIM) demonstrates a sensitive area that is characterized by a lower expression of proteins and a resistant area with a higher expression of proteins. These results may have important implications for the diagnosis and therapy of kidney cancer. The resistance proteins and the resistance-related factors found in the present analysis may be suitable parameters to predict treatment outcome of kidney cancer.
Date of acceptance
2003
Autoren
Autoren-URL
https://www.ncbi.nlm.nih.gov/pubmed/31394613
eISSN
1790-6245
Ausgabe der Veröffentlichung
1
Zeitschrift
Cancer Genomics Proteomics
Sprache
eng
Country
Greece
Paginierung
17 - 22
PII
1/1/17
Datum der Veröffentlichung
2004
Status
Published
Titel
Protein Expression Profiles Indicative for Drug Resistance of Kidney Carcinoma.
Sub types
  • Journal Article
Ausgabe der Zeitschrift
1

Data source: PubMed

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