[753] Molecular Diagnosis of Prostate Cancer from Biopsy Needles Surplus Material.

Raquel Bermudo, Timothy M Thomson, David Abia, Ana Mozos, Eduardo Garcia, Antonio Alcaraz, Pedro L Fernandez. Hospital Clinic-IDIBAPS, Barcelona, Spain; Hospital Clinic, Barcelona, Spain; Instituto de Biología Molecular,CSIC, Barcelona, Spain; Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; Centro de Biología Molecular Severo Ochoa,CSIC, Madrid, Spain

Background: Histopathological diagnosis of prostate cancer in needle biopsies is fraught with substantial diagnostic uncertainties due to frequent false negative or inconclusive results. New analytical tools that enhance diagnostic accuracy and do not interfere with current practice would be extremely useful.
Design: Linear discriminant analysis (LDA) was applied to a microarray-generated dataset from 84 prostate samples to yield gene signatures that accurately discriminate between non-tumoral and tumoral tissue. Additionally, surplus biological material washed off from routine prostate biopsy needles was used to quantitate transcripts by real-time RT-PCR, and LDA-generated discriminant scores were benchmarked against pathological diagnoses of the corresponding biopsy cores from 53 patients.
Results: LDA based on transcript levels of a carefully validated group of 11 genes in material washed off from needle biopsies yielded a 6-gene signature (overexpressed: ABCC4, AMACR, HPN and MYO6; underexpressed: CSTA and LAMB3) that correctly assigned the biopsies as benign or tumoural in 92.6% of the cases, with 88.8% sensitivity and 96.1% specificity.
Conclusions: Surplus material from routine needle biopsies can be used to quantify transcripts corresponding to minimal-size gene signatures for sensitive and accurate discrimination between non-tumoral and tumoral prostates. These approaches could be useful adjuncts to current diagnostic procedures, with potential uses in prognosis and prediction.
Category: Genitourinary (including renal tumors)

Monday, February 28, 2011 1:00 PM

Poster Session II # 138, Monday Afternoon


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