Molecular Profiling in Prostate Cancer View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2001-12

AUTHORS

F. Feroze-Merzoug, M.S. Schober, Y.Q. Chen

ABSTRACT

Prostate cancer is the most diagnosed cancer and the second leading cause of cancer death among men in the United States. Ability to detect this cancer early and availability of better prognostic markers are critical in order to decrease morbidity and mortality of prostate cancer. With the recent development in gene expression analysis methodology, expression profiles of thousands of genes can be generated in tissue samples and cell lines. Comparison of the global gene expression patterns between normal prostate and tumors at different stages may allow us to understand better the molecular mechanism of prostate tumorigenesis and progression. Different cancer cell lines and tissues appear to have different gene expression patterns that provide a new tool to classify tumors. Molecular classification of prostate cancer holds great promise for early detection and prognosis of this disease in the future. In this review, we summarize some of the recent mRNA and protein expression profiling studies performed in prostate cancer. Further, we discuss the potential benefits and limitations of current profiling technology. More... »

PAGES

165-171

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/a:1015523124871

DOI

http://dx.doi.org/10.1023/a:1015523124871

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1030747062

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/12085960


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Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1023/a:1015523124871'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1023/a:1015523124871'


 

This table displays all metadata directly associated to this object as RDF triples.

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