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Identification of molecular mechanisms for cellular drug resistance by combining drug activity and gene expression profiles

Acquired drug resistance is a major problem in cancer treatment. To explore the genes involved in chemosensitivity and resistance, 10 human tumour cell lines, including parental cells and resistant subtypes selected for resistance against doxorubicin, melphalan, teniposide and vincristine, were prof...

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Autores principales: Rickardson, L, Fryknäs, M, Dhar, S, Lövborg, H, Gullbo, J, Rydåker, M, Nygren, P, Gustafsson, M G, Larsson, R, Isaksson, A
Formato: Texto
Lenguaje:English
Publicado: Nature Publishing Group 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2361589/
https://www.ncbi.nlm.nih.gov/pubmed/16012520
http://dx.doi.org/10.1038/sj.bjc.6602699
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author Rickardson, L
Fryknäs, M
Dhar, S
Lövborg, H
Gullbo, J
Rydåker, M
Nygren, P
Gustafsson, M G
Larsson, R
Isaksson, A
author_facet Rickardson, L
Fryknäs, M
Dhar, S
Lövborg, H
Gullbo, J
Rydåker, M
Nygren, P
Gustafsson, M G
Larsson, R
Isaksson, A
author_sort Rickardson, L
collection PubMed
description Acquired drug resistance is a major problem in cancer treatment. To explore the genes involved in chemosensitivity and resistance, 10 human tumour cell lines, including parental cells and resistant subtypes selected for resistance against doxorubicin, melphalan, teniposide and vincristine, were profiled for mRNA expression of 7400 genes using cDNA microarray technology. The drug activity of 66 cancer agents was evaluated on the cell lines, and correlations between drug activity and gene expression were calculated and ranked. Hierarchical clustering of drugs based on their drug–gene correlations yielded clusters of drugs with similar mechanism of action. Genes correlated with drug sensitivity and resistance were imported into the PathwayAssist software to identify putative molecular pathways involved. A substantial number of both proapoptotic and antiapoptotic genes such as signal transducer and activator of transcription 1, mitogen-activated protein kinase 1 and focal adhesion kinase were found to be associated to drug resistance, whereas genes linked to cell cycle control and proliferation, such as cell division cycle 25A and signal transducer of activator of transcription 5A, were associated to general drug sensitivity. The results indicate that combined information from drug activity and gene expression in a resistance-based cell line panel may provide new knowledge of the genes involved in anticancer drug resistance and become a useful tool in drug development.
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spelling pubmed-23615892009-09-10 Identification of molecular mechanisms for cellular drug resistance by combining drug activity and gene expression profiles Rickardson, L Fryknäs, M Dhar, S Lövborg, H Gullbo, J Rydåker, M Nygren, P Gustafsson, M G Larsson, R Isaksson, A Br J Cancer Genetics and Genomics Acquired drug resistance is a major problem in cancer treatment. To explore the genes involved in chemosensitivity and resistance, 10 human tumour cell lines, including parental cells and resistant subtypes selected for resistance against doxorubicin, melphalan, teniposide and vincristine, were profiled for mRNA expression of 7400 genes using cDNA microarray technology. The drug activity of 66 cancer agents was evaluated on the cell lines, and correlations between drug activity and gene expression were calculated and ranked. Hierarchical clustering of drugs based on their drug–gene correlations yielded clusters of drugs with similar mechanism of action. Genes correlated with drug sensitivity and resistance were imported into the PathwayAssist software to identify putative molecular pathways involved. A substantial number of both proapoptotic and antiapoptotic genes such as signal transducer and activator of transcription 1, mitogen-activated protein kinase 1 and focal adhesion kinase were found to be associated to drug resistance, whereas genes linked to cell cycle control and proliferation, such as cell division cycle 25A and signal transducer of activator of transcription 5A, were associated to general drug sensitivity. The results indicate that combined information from drug activity and gene expression in a resistance-based cell line panel may provide new knowledge of the genes involved in anticancer drug resistance and become a useful tool in drug development. Nature Publishing Group 2005-08-22 2005-07-12 /pmc/articles/PMC2361589/ /pubmed/16012520 http://dx.doi.org/10.1038/sj.bjc.6602699 Text en Copyright © 2005 Cancer Research UK https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material.If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/.
spellingShingle Genetics and Genomics
Rickardson, L
Fryknäs, M
Dhar, S
Lövborg, H
Gullbo, J
Rydåker, M
Nygren, P
Gustafsson, M G
Larsson, R
Isaksson, A
Identification of molecular mechanisms for cellular drug resistance by combining drug activity and gene expression profiles
title Identification of molecular mechanisms for cellular drug resistance by combining drug activity and gene expression profiles
title_full Identification of molecular mechanisms for cellular drug resistance by combining drug activity and gene expression profiles
title_fullStr Identification of molecular mechanisms for cellular drug resistance by combining drug activity and gene expression profiles
title_full_unstemmed Identification of molecular mechanisms for cellular drug resistance by combining drug activity and gene expression profiles
title_short Identification of molecular mechanisms for cellular drug resistance by combining drug activity and gene expression profiles
title_sort identification of molecular mechanisms for cellular drug resistance by combining drug activity and gene expression profiles
topic Genetics and Genomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2361589/
https://www.ncbi.nlm.nih.gov/pubmed/16012520
http://dx.doi.org/10.1038/sj.bjc.6602699
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