Annals of Oncology Advance Access originally published online on January 13, 2007
Annals of Oncology 2007 18(4):709-715; doi:10.1093/annonc/mdl479
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© 2007 European Society for Medical Oncology
gynecologic tumors |
Analysis of p53 protein expression levels on ovarian cancer tissue microarray using automated quantitative analysis elucidates prognostic patient subsets


1 Department of Medical Oncology
2 Department of Pathology, Yale University School of Medicine, New Haven, CT 06520, USA
3 Department of Clinical Therapeutics
4 Department of Pathology
5 Second Department of Internal Medicine-Propaedeutic, School of Medicine, University of Athens, Hellas, Greece
* Correspondence to: Dr A. Psyrri, Yale Cancer Center, PO Box 208032, New Haven, CT 06520. Tel: +1-203-737-2476; Fax: +1-203-785-7531; E-mail: diamando.psyrri{at}yale.edu
Background: p53 protein is regarded as a valuable prognostic marker in cancer with a potential use as a molecular target. Here, we sought to determine the prognostic value of p53 in ovarian cancer using a novel method of compartmentalized in situ protein analysis.
Patients and methods: A tissue array composed of 141 advanced stage ovarian cancers uniformly treated was constructed. For evaluation of p53 protein expression, we used an immunofluorescence-based method of automated in situ quantitative measurement of protein analysis (AQUA).
Results: High nuclear p53 expression levels were associated with better outcome for overall survival (OS) (P = 0.0023) and disease-free survival (P = 0.0338) at 5-years. High cytoplasmic p53 expression levels were associated with better outcome for OS (P = 0.0002). In multivariable analysis, high nuclear and high cytoplasmic p53 level with International Federation of Gynecology and Obstetrics (FIGO) stage were the most significant predictor variables for OS and high nuclear p53 level with FIGO stage were the significant predictor variables for disease-free survival.
Conclusions: Assessment of the prognostic value of p53 protein levels using conventional immunohistochemistry is limited by the nonquantitative nature of the method. AQUA provides precise estimation of p53 protein levels and was able to elucidate the association of p53 protein levels and ovarian cancer prognosis.
Key words: AQUA, ovarian cancer, p53
These authors contributed equally to this work. Received for publication September 17, 2006. Revision received November 3, 2006. Accepted for publication November 17, 2006.
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