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Emerging technologies for the genomic analysis of cancer
Cancer-cell survival, growth and metastatic potential are directed by dominant molecular signalling patterns, the components of which have been shown to be qualitatively different from their normal tissue counterparts. These signalling patterns can now be further distinguished by quantitative assess...
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Biology Reports Ltd
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2924702/ https://www.ncbi.nlm.nih.gov/pubmed/20948650 http://dx.doi.org/10.3410/B1-35 |
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author | Nemunaitis, John Senzer, Neil N |
author_facet | Nemunaitis, John Senzer, Neil N |
author_sort | Nemunaitis, John |
collection | PubMed |
description | Cancer-cell survival, growth and metastatic potential are directed by dominant molecular signalling patterns, the components of which have been shown to be qualitatively different from their normal tissue counterparts. These signalling patterns can now be further distinguished by quantitative assessment, either at a single point in time or at intervals. This commentary will focus on the emergence of proteomic analysis which, in conjunction with the genomic expression data, is an evolving technology that one day will enable personalized therapeutic strategies that are differentially targeted against cancer. |
format | Text |
id | pubmed-2924702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Biology Reports Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-29247022010-10-14 Emerging technologies for the genomic analysis of cancer Nemunaitis, John Senzer, Neil N F1000 Biol Rep Review Article Cancer-cell survival, growth and metastatic potential are directed by dominant molecular signalling patterns, the components of which have been shown to be qualitatively different from their normal tissue counterparts. These signalling patterns can now be further distinguished by quantitative assessment, either at a single point in time or at intervals. This commentary will focus on the emergence of proteomic analysis which, in conjunction with the genomic expression data, is an evolving technology that one day will enable personalized therapeutic strategies that are differentially targeted against cancer. Biology Reports Ltd 2009-05-08 /pmc/articles/PMC2924702/ /pubmed/20948650 http://dx.doi.org/10.3410/B1-35 Text en © 2009 Biology Reports Ltd http://creativecommons.org/licenses/by-nc/3.0/legalcode This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You may not use this work for commercial purposes |
spellingShingle | Review Article Nemunaitis, John Senzer, Neil N Emerging technologies for the genomic analysis of cancer |
title | Emerging technologies for the genomic analysis of cancer |
title_full | Emerging technologies for the genomic analysis of cancer |
title_fullStr | Emerging technologies for the genomic analysis of cancer |
title_full_unstemmed | Emerging technologies for the genomic analysis of cancer |
title_short | Emerging technologies for the genomic analysis of cancer |
title_sort | emerging technologies for the genomic analysis of cancer |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2924702/ https://www.ncbi.nlm.nih.gov/pubmed/20948650 http://dx.doi.org/10.3410/B1-35 |
work_keys_str_mv | AT nemunaitisjohn emergingtechnologiesforthegenomicanalysisofcancer AT senzerneiln emergingtechnologiesforthegenomicanalysisofcancer |