Article (Scientific journals)
Progression model tissue microarray (TMA) for the study of uterine carcinomas.
Arafa, Mohammad; Boniver, Jacques; Delvenne, Philippe
2010In Disease Markers, 28 (5), p. 267-72
Peer Reviewed verified by ORBi
 

Files


Full Text
10 TMA (DMA) reprints.PDF
Publisher postprint (1 MB)
Request a copy

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Disease Progression; Female; Humans; Models, Biological; Tissue Array Analysis; Uterine Cervical Neoplasms/diagnosis/therapy
Abstract :
[en] 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.
Research center :
Giga-Cancer - ULiège
Disciplines :
Oncology
Author, co-author :
Arafa, Mohammad
Boniver, Jacques ;  Centre Hospitalier Universitaire de Liège - CHU > Anatomie pathologique
Delvenne, Philippe ;  Université de Liège - ULiège > Département des sciences biomédicales et précliniques > Anatomie et cytologie pathologiques
Language :
English
Title :
Progression model tissue microarray (TMA) for the study of uterine carcinomas.
Publication date :
2010
Journal title :
Disease Markers
ISSN :
0278-0240
eISSN :
1875-8630
Publisher :
IOS Press, Amsterdam, Netherlands
Volume :
28
Issue :
5
Pages :
267-72
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 25 November 2010

Statistics


Number of views
40 (5 by ULiège)
Number of downloads
1 (1 by ULiège)

Scopus citations®
 
7
Scopus citations®
without self-citations
4
OpenCitations
 
1

Bibliography


Similar publications



Contact ORBi