Protein expression profiles indicative for drug resistance of non-small cell lung cancer
- Publication type:
- Journal article
- Metadata:
-
- Autoren
- M Volm
- R Koomägi
- J Mattern
- T Efferth
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000177435600001&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1038/sj.bjc.6600463
- Externe Identifier
- Clarivate Analytics Document Solution ID: 583XD
- PubMed Identifier: 12177790
- ISSN
- 0007-0920
- Ausgabe der Veröffentlichung
- 3
- Zeitschrift
- BRITISH JOURNAL OF CANCER
- Schlüsselwörter
- non-small cell lung carcinomas
- resistance factors
- hierarchical cluster analysis
- Paginierung
- 251 - +
- Datum der Veröffentlichung
- 2002
- Status
- Published
- Titel
- Protein expression profiles indicative for drug resistance of non-small cell lung cancer
- Sub types
- Article
- Ausgabe der Zeitschrift
- 87
Data source: Web of Science (Lite)
- Other metadata sources:
-
- Autoren
- M Volm
- R Koomägi
- J Mattern
- T Efferth
- DOI
- 10.1038/sj.bjc.6600463
- eISSN
- 1532-1827
- ISSN
- 0007-0920
- Ausgabe der Veröffentlichung
- 3
- Zeitschrift
- British Journal of Cancer
- Sprache
- en
- Online publication date
- 2002
- Paginierung
- 251 - 257
- Datum der Veröffentlichung
- 2002
- Status
- Published
- Herausgeber
- Springer Science and Business Media LLC
- Herausgeber URL
- http://dx.doi.org/10.1038/sj.bjc.6600463
- Datum der Datenerfassung
- 2023
- Titel
- Protein expression profiles indicative for drug resistance of non-small cell lung cancer
- Ausgabe der Zeitschrift
- 87
Data source: Crossref
- Abstract
- Data obtained from multiple sources indicate that no single mechanism can explain the resistance to chemotherapy exhibited by non-small cell lung carcinomas. The multi-factorial nature of drug resistance implies that the analysis of comprising expression profiles may predict drug resistance with higher accuracy than single gene or protein expression studies. Forty cellular parameters (drug resistance proteins, proliferative, apoptotic, and angiogenic factors, products of proto-oncogenes, and suppressor genes) were evaluated mainly by immunohistochemistry in specimens of primary non-small cell lung carcinoma of 94 patients and compared with the response of the tumours to doxorubicin in vitro. The protein expression profile of non-small cell lung carcinoma was determined by hierarchical cluster analysis and clustered image mapping. The cluster analysis revealed three different resistance profiles. The frequency of each profile was different (77, 14 and 9%, respectively). In the most frequent drug resistance profile, the resistance proteins P-glycoprotein/MDR1 (MDR1, ABCB1), thymidylate-synthetase, glutathione-S-transferase-pi, metallothionein, O6-methylguanine-DNA-methyltransferase and major vault protein/lung resistance-related protein were up-regulated. Microvessel density, the angiogenic factor vascular endothelial growth factor and its receptor FLT1, and ECGF1 as well were down-regulated. In addition, the proliferative factors proliferating cell nuclear antigen and cyclin A were reduced compared to the sensitive non-small cell lung carcinoma. In this resistance profile, FOS was up-regulated and NM23 down-regulated. In the second profile, only three resistance proteins were increased (glutathione-S-transferase-pi, O6-methylguanine-DNA-methyltransferase, major vault protein/lung resistance-related protein). The angiogenic factors were reduced. In the third profile, only five of the resistance factors were increased (MDR1, thymidylate-synthetase, glutathione-S-transferase-pi, O6-methylguanine-DNA-methyltransferase, major vault protein/lung resistance-related protein).
- Addresses
- German Cancer Research Centre, Heidelberg, Germany.
- Autoren
- M Volm
- R Koomägi
- J Mattern
- T Efferth
- T Efferth
- DOI
- 10.1038/sj.bjc.6600463
- eISSN
- 1532-1827
- Externe Identifier
- PubMed Identifier: 12177790
- PubMed Central ID: PMC2364224
- Open access
- true
- ISSN
- 0007-0920
- Ausgabe der Veröffentlichung
- 3
- Zeitschrift
- British journal of cancer
- Schlüsselwörter
- Humans
- Carcinoma, Non-Small-Cell Lung
- Lung Neoplasms
- Doxorubicin
- Proteins
- Immunohistochemistry
- Cluster Analysis
- Up-Regulation
- Drug Resistance, Neoplasm
- Middle Aged
- Female
- Male
- Sprache
- eng
- Medium
- Open access status
- Open Access
- Paginierung
- 251 - 257
- Datum der Veröffentlichung
- 2002
- Status
- Published
- Publisher licence
- CC BY
- Datum der Datenerfassung
- 2002
- Titel
- Protein expression profiles indicative for drug resistance of non-small cell lung cancer.
- Sub types
- other
- Journal Article
- Ausgabe der Zeitschrift
- 87
Files
https://www.nature.com/articles/6600463.pdf https://europepmc.org/articles/PMC2364224?pdf=render
Data source: Europe PubMed Central
- Abstract
- Data obtained from multiple sources indicate that no single mechanism can explain the resistance to chemotherapy exhibited by non-small cell lung carcinomas. The multi-factorial nature of drug resistance implies that the analysis of comprising expression profiles may predict drug resistance with higher accuracy than single gene or protein expression studies. Forty cellular parameters (drug resistance proteins, proliferative, apoptotic, and angiogenic factors, products of proto-oncogenes, and suppressor genes) were evaluated mainly by immunohistochemistry in specimens of primary non-small cell lung carcinoma of 94 patients and compared with the response of the tumours to doxorubicin in vitro. The protein expression profile of non-small cell lung carcinoma was determined by hierarchical cluster analysis and clustered image mapping. The cluster analysis revealed three different resistance profiles. The frequency of each profile was different (77, 14 and 9%, respectively). In the most frequent drug resistance profile, the resistance proteins P-glycoprotein/MDR1 (MDR1, ABCB1), thymidylate-synthetase, glutathione-S-transferase-pi, metallothionein, O6-methylguanine-DNA-methyltransferase and major vault protein/lung resistance-related protein were up-regulated. Microvessel density, the angiogenic factor vascular endothelial growth factor and its receptor FLT1, and ECGF1 as well were down-regulated. In addition, the proliferative factors proliferating cell nuclear antigen and cyclin A were reduced compared to the sensitive non-small cell lung carcinoma. In this resistance profile, FOS was up-regulated and NM23 down-regulated. In the second profile, only three resistance proteins were increased (glutathione-S-transferase-pi, O6-methylguanine-DNA-methyltransferase, major vault protein/lung resistance-related protein). The angiogenic factors were reduced. In the third profile, only five of the resistance factors were increased (MDR1, thymidylate-synthetase, glutathione-S-transferase-pi, O6-methylguanine-DNA-methyltransferase, major vault protein/lung resistance-related protein).
- Date of acceptance
- 2002
- Autoren
- M Volm
- R Koomägi
- J Mattern
- T Efferth
- Autoren-URL
- https://www.ncbi.nlm.nih.gov/pubmed/12177790
- DOI
- 10.1038/sj.bjc.6600463
- Externe Identifier
- PubMed Central ID: PMC2364224
- ISSN
- 0007-0920
- Ausgabe der Veröffentlichung
- 3
- Zeitschrift
- Br J Cancer
- Schlüsselwörter
- Carcinoma, Non-Small-Cell Lung
- Cluster Analysis
- Doxorubicin
- Drug Resistance, Neoplasm
- Female
- Humans
- Immunohistochemistry
- Lung Neoplasms
- Male
- Middle Aged
- Proteins
- Up-Regulation
- Sprache
- eng
- Country
- England
- Paginierung
- 251 - 257
- PII
- 6600463
- Datum der Veröffentlichung
- 2002
- Status
- Published
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2002
- Titel
- Protein expression profiles indicative for drug resistance of non-small cell lung cancer.
- Sub types
- Journal Article
- Ausgabe der Zeitschrift
- 87
Data source: PubMed
- Beziehungen:
- Property of