Linked Life Data

10914719

Source:http://linkedlifedata.com/resource/pubmed/id/10914719

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
2000-11-16
pubmed:abstractText
Early systemic spread of occult tumor cells that may develop into founders of incurable distant metastasis has been identified in prostate cancer patients by reverse transcription-PCR (RT-PCR) amplification of prostate-specific antigen (PSA) mRNA. Nevertheless, the introduction of this new staging tool into the clinical setting has been hampered by the disparate and contradictory data on the sensitivity and specificity of RT-PCR methods reported recently. We used PSA RT-PCR to examine the influence of analytical variables such as priming and enzyme of reverse transcriptase reaction, temperature and time of primer annealing, primer extension and denaturation, as well as the concentrations of magnesium chloride, Taq polymerase, deoxynucleotide triphosphate, primers and BSA on the amplification process. By systematically varying these chemical and physical components, we could demonstrate a significant increase in amplification yield and in stringency of primer annealing. This may explain the wide variety of published findings on molecular staging of prostate cancer, which currently impedes the clinical introduction of PSA RT-PCR assays in prostate cancer. Methodological analyses are needed for standardization and quality assurance to achieve reproducible molecular methods that can be used in clinical practice.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1078-0432
pubmed:author
pubmed:issnType
Print
pubmed:volume
6
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2741-50
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Analytical variables of reverse transcription-polymerase chain reaction-based detection of disseminated prostate cancer cells.
pubmed:affiliation
Institut für Immunologie der Universität München, Munich, Germany.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't