Linked Life Data

20592449

Source:http://linkedlifedata.com/resource/pubmed/id/20592449

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2010-7-1
pubmed:abstractText
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.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1875-8630
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
28
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
267-72
pubmed:dateRevised
2010-11-15
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Progression model tissue microarray (TMA) for the study of uterine carcinomas.
pubmed:affiliation
Department of Pathology, Mansoura University, Egypt.
pubmed:publicationType
Journal Article, Review