ABSTRACT
<p><b>BACKGROUND</b>Pim-1 plays an important role in the apoptosis, proliferation, differentiation of cancer cells and progression of cancer. In this study we detected the expression of pim-1 mRNA in normal prostate, benign prostatic hyperplasia (BPH), and prostate cancer (PCa) and explored its diagnostic value for PCa.</p><p><b>METHODS</b>The prostate tissues were collected from 23 patients with PCa, 37 patients with BPH, and 3 healthy volunteers. Pim-1 mRNA expression levels in these samples were determined by the quantitative real-time PCR (QRT-PCR). The differences of expression were calculated based on a standard curve.</p><p><b>RESULTS</b>The ratio of pim-1 mRNA to beta-actin in the normal prostate, BPH, and PCa were 1.05 +/- 0.04, 2.57 +/- 0.74 and 4.45 +/-0.63, respectively. The differences among PCa, BPH and NT were significant (P < 0.05, respectively).</p><p><b>CONCLUSION</b>Detecting pim-1 mRNA expression by QRT-PCR provides a reliable metric for the diagnosis of PCa.</p>
Subject(s)
Aged , Humans , Male , Middle Aged , Polymerase Chain Reaction , Prostate , Metabolism , Prostatic Hyperplasia , Metabolism , Prostatic Neoplasms , Diagnosis , Metabolism , Proto-Oncogene Proteins c-pim-1 , Genetics , RNA, Messenger , Sensitivity and SpecificityABSTRACT
<p><b>BACKGROUND</b>Early diagnosis and timely treatment are important for improving therapeutic efficiency of prostate cancer. DNA array is a new bio-technology for disease diagnosis. This study was conducted to diagnose prostate cancer with cDNA macroarray and analysis gene expression profiles of some selective genes in prostate cancer.</p><p><b>METHODS</b>Total RNA was isolated from patients with prostate cancer and from normal people, and poly (A) RNA was further purified. Then it was analyzed for differentially expressed genes in prostate cancer and normal prostate by cDNA macroarray system.</p><p><b>RESULTS</b>There were different expressions in the nine prostate-associated specific genes in prostate cancer as compared with normal prostate, in which, 7 were significantly upregulated and 2 were down-regulated.</p><p><b>CONCLUSION</b>As a diagnostic approach at molecular level, the cDNA macroarray is an effectively diagnostic method for prostate cancer.</p>