Aurora-A/STK-15 is a predictive factor for recurrent behaviour in non-invasive bladder carcinoma: a study of 128 cases of non-invasive neoplasms View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2007-04

AUTHORS

E. Compérat, P. Camparo, R. Haus, E. Chartier-Kastler, B. Radenen, F. Richard, F. Capron, V. Paradis

ABSTRACT

Aurora-A, a member of serine/threonine kinase, is implied in mitosis and centrosome maturation. Increasing levels of Aurora-A have been shown to be present in several malignancies and especially in bladder cancer. No immunohistochemical marker has shown to be able to predict the clinical outcome of patients with superficial bladder cancer, except MIB-1, as a predictive marker of relapse and progression. The aim was to investigate the expression of Aurora-A and MIB-1 in tissue micro arrays of superficial bladder cancer representative of pTa papillary urothelial neoplasm with different degrees of aggressiveness (low malignant potential [PUNLMP], non-invasive papillary urothelial carcinoma low grade [NILGC], non-invasive papillary urothelial carcinoma high grade [NIHGC] and carcinoma in situ). We analysed predictive values of both markers, their specificity and sensitivity in tumor recurrence. Aurora-A was a sensitive marker to predict tumor recurrence especially for pTa (PUNLMP, NILGC; PUNLMP p<0.001, NILGC p<0.001) with statistical significant correlation between immunohistochemical staining and clinical outcome. MIB-1 expression displayed statistical difference p=0.002 in the PUNLMP group and p=0.03 in the NILGC group. Aurora-A is a more sensitive marker than MIB-1 to predict relapse in pTa bladder neoplasias. The combination of both markers seems to have a very powerful predictive value of recurrence (p<0.001). More... »

PAGES

419-424

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00428-007-0383-x

DOI

http://dx.doi.org/10.1007/s00428-007-0383-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1017288492

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17333265


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Download the RDF metadata as:  json-ld nt turtle xml License info

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Turtle is a human-readable linked data format.

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00428-007-0383-x'


 

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