Intranet
Acces
Contact
Accès direct
Unités de recherche
Bienvenue
ARN
Architecture et réactivité de l'ARN
Publications
2004
Mohr S., Keith G., Galateau-Salle F., Icard P., Rihn B. H.
Cell protection, resistance and invasiveness of two malignant mesotheliomas as assessed by 10K-microarray Article de journal
Dans: Biochim Biophys Acta-Mol Basis Dis, vol. 1688, no. 1, p. 43-60, 2004, (0006-3002 Journal Article).
Résumé | BibTeX | Étiquettes: Analysis, Array, Biological/genetics, Cell, Expression, Family, Gene, Human, KEITH, Line, Markers, Mesothelioma/etiology/genetics/*pathology, Messenger/analysis, Multigene, Neoplasms/etiology/genetics/*pathology, Neoplastic, Pleural, Profiling, Protein, Regulation, RNA, tumor
@article{,
title = {Cell protection, resistance and invasiveness of two malignant mesotheliomas as assessed by 10K-microarray},
author = { S. Mohr and G. Keith and F. Galateau-Salle and P. Icard and B. H. Rihn},
year = {2004},
date = {2004-01-01},
journal = {Biochim Biophys Acta-Mol Basis Dis},
volume = {1688},
number = {1},
pages = {43-60},
abstract = {Malignant pleural mesothelioma (MPM) is an aggressive serosal tumor, strongly associated with former exposure to asbestos fibers and for which there is currently no effective treatment available. In human, MPM is characterized by a high local invasiveness, poor prognosis and therapeutic outcomes. In order to assess molecular changes that specify this phenotype, we performed a global gene expression profiling of human MPM. Using a 10,000-element microarray, we analyzed mRNA relative gene expression levels by comparing a mesothelioma cell line to either a pleural cell line or tumor specimens. To analyze these gene expression data, we used various bioinformatics softwares. Hierarchical clustering methods were used to group genes and samples with similar expression in an unsupervised mode. Genes of known function were further sorted by enzyme, function and pathway clusters using a supervised software (IncyteGenomics). Taken together, these data defined a molecular fingerprint of human MPM with more than 700 up- or down-regulated genes related to several traits of the malignant phenotype, specially associated with MPM invasiveness, protection and resistance to anticancer defenses. This portrait is meaningful in disease classification and management, and relevant in finding new specific markers of MPM. These molecular markers should improve the accuracy of mesothelioma diagnosis, prognosis and therapy.},
note = {0006-3002
Journal Article},
keywords = {Analysis, Array, Biological/genetics, Cell, Expression, Family, Gene, Human, KEITH, Line, Markers, Mesothelioma/etiology/genetics/*pathology, Messenger/analysis, Multigene, Neoplasms/etiology/genetics/*pathology, Neoplastic, Pleural, Profiling, Protein, Regulation, RNA, tumor},
pubstate = {published},
tppubtype = {article}
}
Malignant pleural mesothelioma (MPM) is an aggressive serosal tumor, strongly associated with former exposure to asbestos fibers and for which there is currently no effective treatment available. In human, MPM is characterized by a high local invasiveness, poor prognosis and therapeutic outcomes. In order to assess molecular changes that specify this phenotype, we performed a global gene expression profiling of human MPM. Using a 10,000-element microarray, we analyzed mRNA relative gene expression levels by comparing a mesothelioma cell line to either a pleural cell line or tumor specimens. To analyze these gene expression data, we used various bioinformatics softwares. Hierarchical clustering methods were used to group genes and samples with similar expression in an unsupervised mode. Genes of known function were further sorted by enzyme, function and pathway clusters using a supervised software (IncyteGenomics). Taken together, these data defined a molecular fingerprint of human MPM with more than 700 up- or down-regulated genes related to several traits of the malignant phenotype, specially associated with MPM invasiveness, protection and resistance to anticancer defenses. This portrait is meaningful in disease classification and management, and relevant in finding new specific markers of MPM. These molecular markers should improve the accuracy of mesothelioma diagnosis, prognosis and therapy.
Mohr S, Keith G, Galateau-Salle F, Icard P, Rihn B H
Cell protection, resistance and invasiveness of two malignant mesotheliomas as assessed by 10K-microarray Article de journal
Dans: Biochim Biophys Acta-Mol Basis Dis, vol. 1688, no. 1, p. 43-60, 2004, ISBN: 14732480, (0006-3002 Journal Article).
Résumé | Liens | BibTeX | Étiquettes: Biological/genetics, KEITH Cell Line, Messenger/analysis Tumor Markers, Neoplastic Human Mesothelioma/etiology/genetics/*pathology Multigene Family Pleural Neoplasms/etiology/genetics/*pathology Protein Array Analysis RNA, Tumor Gene Expression Profiling Gene Expression Regulation, Unité ARN
@article{,
title = {Cell protection, resistance and invasiveness of two malignant mesotheliomas as assessed by 10K-microarray},
author = {S Mohr and G Keith and F Galateau-Salle and P Icard and B H Rihn},
url = {http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=14732480},
isbn = {14732480},
year = {2004},
date = {2004-01-01},
journal = {Biochim Biophys Acta-Mol Basis Dis},
volume = {1688},
number = {1},
pages = {43-60},
abstract = {Malignant pleural mesothelioma (MPM) is an aggressive serosal tumor, strongly associated with former exposure to asbestos fibers and for which there is currently no effective treatment available. In human, MPM is characterized by a high local invasiveness, poor prognosis and therapeutic outcomes. In order to assess molecular changes that specify this phenotype, we performed a global gene expression profiling of human MPM. Using a 10,000-element microarray, we analyzed mRNA relative gene expression levels by comparing a mesothelioma cell line to either a pleural cell line or tumor specimens. To analyze these gene expression data, we used various bioinformatics softwares. Hierarchical clustering methods were used to group genes and samples with similar expression in an unsupervised mode. Genes of known function were further sorted by enzyme, function and pathway clusters using a supervised software (IncyteGenomics). Taken together, these data defined a molecular fingerprint of human MPM with more than 700 up- or down-regulated genes related to several traits of the malignant phenotype, specially associated with MPM invasiveness, protection and resistance to anticancer defenses. This portrait is meaningful in disease classification and management, and relevant in finding new specific markers of MPM. These molecular markers should improve the accuracy of mesothelioma diagnosis, prognosis and therapy.},
note = {0006-3002
Journal Article},
keywords = {Biological/genetics, KEITH Cell Line, Messenger/analysis Tumor Markers, Neoplastic Human Mesothelioma/etiology/genetics/*pathology Multigene Family Pleural Neoplasms/etiology/genetics/*pathology Protein Array Analysis RNA, Tumor Gene Expression Profiling Gene Expression Regulation, Unité ARN},
pubstate = {published},
tppubtype = {article}
}
Malignant pleural mesothelioma (MPM) is an aggressive serosal tumor, strongly associated with former exposure to asbestos fibers and for which there is currently no effective treatment available. In human, MPM is characterized by a high local invasiveness, poor prognosis and therapeutic outcomes. In order to assess molecular changes that specify this phenotype, we performed a global gene expression profiling of human MPM. Using a 10,000-element microarray, we analyzed mRNA relative gene expression levels by comparing a mesothelioma cell line to either a pleural cell line or tumor specimens. To analyze these gene expression data, we used various bioinformatics softwares. Hierarchical clustering methods were used to group genes and samples with similar expression in an unsupervised mode. Genes of known function were further sorted by enzyme, function and pathway clusters using a supervised software (IncyteGenomics). Taken together, these data defined a molecular fingerprint of human MPM with more than 700 up- or down-regulated genes related to several traits of the malignant phenotype, specially associated with MPM invasiveness, protection and resistance to anticancer defenses. This portrait is meaningful in disease classification and management, and relevant in finding new specific markers of MPM. These molecular markers should improve the accuracy of mesothelioma diagnosis, prognosis and therapy.