Ontology highlight
ABSTRACT: Introduction
Currently, final diagnosis of prostate cancer (PCa) is based on histopathological analysis of needle biopsies, but this process often bears uncertainties due to small sample size, tumour focality and pathologist's subjective assessment.Methods
Prostate cancer diagnostic signatures were generated by applying linear discriminant analysis to microarray and real-time RT-PCR (qRT-PCR) data from normal and tumoural prostate tissue samples. Additionally, after removal of biopsy tissues, material washed off from transrectal biopsy needles was used for molecular profiling and discriminant analysis.Results
Linear discriminant analysis applied to microarray data for a set of 318 genes differentially expressed between non-tumoural and tumoural prostate samples prod
SUBMITTER: Bermudo R
PROVIDER: S-EPMC3242534 | biostudies-literature | 2011 Nov
REPOSITORIES: biostudies-literature