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Progression Model Tissue Microarray (TMA) for the Study of Uterine Carcinomas
Cervical and endometrial uterine carcinomas are heterogeneous groups of cancers, which are preceded by preneoplastic lesions. More accurate tools are needed to improve the diagnosis and to define markers which may be relevant for the diagnosis, prediction of disease progression and therapeutic respo...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3833607/ https://www.ncbi.nlm.nih.gov/pubmed/20592449 http://dx.doi.org/10.3233/DMA-2010-0709 |
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author | Arafa, Mohammad Boniver, Jacques Delvenne, Philippe |
author_facet | Arafa, Mohammad Boniver, Jacques Delvenne, Philippe |
author_sort | Arafa, Mohammad |
collection | PubMed |
description | Cervical and endometrial uterine carcinomas are heterogeneous groups of cancers, which are preceded by preneoplastic lesions. More accurate tools are needed to improve the diagnosis and to define markers which may be relevant for the diagnosis, prediction of disease progression and therapeutic response. High throughput technologies for testing and validating molecular targets in cancer lesions and in their precursors are presently available. Among them, the tissue microarray (TMA) presents the advantage of a morphological control of the analyzed tissue fragment. In this article, we review the different aspects of the TMA technology with a special consideration to a uterine carcinogenesis model. |
format | Online Article Text |
id | pubmed-3833607 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | IOS Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-38336072013-12-17 Progression Model Tissue Microarray (TMA) for the Study of Uterine Carcinomas Arafa, Mohammad Boniver, Jacques Delvenne, Philippe Dis Markers Other Cervical and endometrial uterine carcinomas are heterogeneous groups of cancers, which are preceded by preneoplastic lesions. More accurate tools are needed to improve the diagnosis and to define markers which may be relevant for the diagnosis, prediction of disease progression and therapeutic response. High throughput technologies for testing and validating molecular targets in cancer lesions and in their precursors are presently available. Among them, the tissue microarray (TMA) presents the advantage of a morphological control of the analyzed tissue fragment. In this article, we review the different aspects of the TMA technology with a special consideration to a uterine carcinogenesis model. IOS Press 2010 2010-06-29 /pmc/articles/PMC3833607/ /pubmed/20592449 http://dx.doi.org/10.3233/DMA-2010-0709 Text en Copyright © 2010 Hindawi Publishing Corporation. |
spellingShingle | Other Arafa, Mohammad Boniver, Jacques Delvenne, Philippe Progression Model Tissue Microarray (TMA) for the Study of Uterine Carcinomas |
title | Progression Model Tissue Microarray (TMA) for the Study of Uterine Carcinomas |
title_full | Progression Model Tissue Microarray (TMA) for the Study of Uterine Carcinomas |
title_fullStr | Progression Model Tissue Microarray (TMA) for the Study of Uterine Carcinomas |
title_full_unstemmed | Progression Model Tissue Microarray (TMA) for the Study of Uterine Carcinomas |
title_short | Progression Model Tissue Microarray (TMA) for the Study of Uterine Carcinomas |
title_sort | progression model tissue microarray (tma) for the study of uterine carcinomas |
topic | Other |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3833607/ https://www.ncbi.nlm.nih.gov/pubmed/20592449 http://dx.doi.org/10.3233/DMA-2010-0709 |
work_keys_str_mv | AT arafamohammad progressionmodeltissuemicroarraytmaforthestudyofuterinecarcinomas AT boniverjacques progressionmodeltissuemicroarraytmaforthestudyofuterinecarcinomas AT delvennephilippe progressionmodeltissuemicroarraytmaforthestudyofuterinecarcinomas |