Linked Life Data

15009717

Source:http://linkedlifedata.com/resource/pubmed/id/15009717

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2004-3-10
pubmed:abstractText
Gene expression profiling by cDNA array analysis in melanoma is hampered by the need for large amounts of RNA to prepare reliable probes for array hybridization. On the other hand, for ex vivo analysis of malignant cells from melanocytic tumors laser pressure catapulting is an essential prerequisite to obtain noncontaminated melanocytic preparations; however, laser pressure catapulting prepared material provides only nanogram amounts of RNA. In this study we present an approach to overcome these limitations by combining laser pressure catapulting and real-time polymerase chain reaction based SMART cDNA amplification technology. Reproducible and reliable hybridization patterns from about 500 laser pressure catapulting prepared cell equivalents from 22 cases of melanocytic tumors were generated using array analysis. Univariate analysis revealed significant differences of the expression pattern of melanocytic nevi, melanomas, and melanoma metastases. Multivariate analysis with four genes being the best univariate discriminative features (tyrosinase related protein 2, translation initiation factor 2 gamma, ubiquitine conjugating enzyme E2I and one expressed sequence tag) allowed clustering of nevi, melanomas, and melanoma metastases with an accuracy of 82%. Data validation was performed by additional quantitative reverse transcription-polymerase chain reaction (TaqMan-reverse transcription-polymerase chain reaction). Taken together, this study shows, that (1) array analysis is feasible on tumors with rather low cell numbers, and (2) differences in expression profiles allow discrimination between benign and malignant lesions. Expression patterns of marker genes defined in unequivocal histopathologic entities may improve the diagnostic and prognostic assessment of difficult melanocytic lesions, which is still the hardest problem in dermatopathology.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0022-202X
pubmed:author
pubmed:issnType
Print
pubmed:volume
122
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
361-8
pubmed:dateRevised
2009-11-19
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Discrimination of melanocytic tumors by cDNA array hybridization of tissues prepared by laser pressure catapulting.
pubmed:affiliation
Department of Dermatology, University of Regensburg, Regensburg, Germany. bernd.becker@klinik.uni-regensburg.de
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't