Disease Markers

Disease Markers / 2010 / Article

Open Access

Volume 28 |Article ID 128654 | https://doi.org/10.3233/DMA-2010-0709

Mohammad Arafa, Jacques Boniver, Philippe Delvenne, "Progression Model Tissue Microarray (TMA) for the Study of Uterine Carcinomas", Disease Markers, vol. 28, Article ID 128654, 6 pages, 2010. https://doi.org/10.3233/DMA-2010-0709

Progression Model Tissue Microarray (TMA) for the Study of Uterine Carcinomas

Received25 Jun 2010
Accepted25 Jun 2010

Abstract

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.

Copyright © 2010 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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