Pd65-04 Nucleolin Staining May Aid in the Identification of Circulating Prostate Cancer Cells
Year: 2017
Type: article
Study design: Observational Study
Abstract: used to predict risk of biochemical recurrence and guide adjuvant therapy after prostatectomy, but it is not clear to what extent these features correlate with genetic markers of disease aggressiveness.In this study, we sought to determine patterns of biomarker expression in African Americans, who are at higher risk of developing aggressive prostate cancer, and whether these biomarkers correlate with adverse pathologic features at prostatectomy.METHODS: We ran the Decipher test retrospectively on radical prostatectomy specimens obtained between December 2008 and April 2016 from a cohort of 72 African American men at a single institution.Data obtained included Decipher GRID expression levels of additional RNA biomarkers as well as the pathologic features at prostatectomy of each specimen.Fisher's Exact Test analysis was used to determine correlations between biomarkers and the following pathologic features: perineural invasion (PNI), extraprostatic extension (EPE), seminal vesical invasion (SVI), lymphovascular invasion (LVI), and margin positivity.RESULTS: The most common biomarkers expressed were SPINK1 (37.5%, n¼27), ERG (18.1%, n¼13), NKX3 (13.95, n¼10), and PCA3 (11.1%, n¼8).The triple negative genotype (ERG-/ETS-/SPINK-) was 38.9% (n¼28).There were no statistically significant relationships between any biomarker expression levels and pathologic features associated with aggressive prostate cancer.PCA3 did show a nonsignificant association with LVI (p ¼ 0.09).CONCLUSIONS: Our study employed one of the largest African American cohorts to date and failed to show a relationship between adverse pathologic features and the RNA expression patterns of markers implicated in prostate cancer.Further studies are necessary to determine the impact of these abnormal expression patterns on clinical outcomes and whether they are better predictors of disease recurrence than traditional clinicopathologic variables.
Source: The Journal of Urology
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W2604519099