Progression model tissue microarray (TMA) for the study of uterine carcinomas

Mohammad Arafa, Jacques Boniver, Philippe Delvenne

Research output: Contribution to journalReview articlepeer-review

5 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)267-72
Number of pages6
JournalDisease Markers
Volume28
Issue number5
DOIs
Publication statusPublished - 2010

Keywords

  • Disease Progression
  • Female
  • Humans
  • Models, Biological
  • Tissue Array Analysis
  • Uterine Cervical Neoplasms/diagnosis

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