PCA3 and PSA gene activity correlates with the true tumor cell burden in prostate cancer lymph node metastases - Abstract

BACKGROUND: Extent of pelvic lymph node (LN) dissemination is a critical prognostic feature for patients with prostate cancer (PCa) maintaining extended pelvic lymphadenectomy (LAD) as the gold standard for LN-staging.

Unfortunately, conventional histopathological assessment may miss micrometastasis and recently presented immunocytochemical approach of the single cell analysis is still intricate.

OBJECTIVE: To comparatively assess the potential of Prostate cancer gene 3 (PCA3) and prostate specific antigene (PSA) to perform as markers for tumor cell load.

METHODS: Patients with high risk PCa for LN metastasis undergoing either a sentinel LN-guided staging LAD or retropubic radical prostatectomy with sentinel-guided pelvic LN dissection were included. LNs were investigated by routine histopathology. Tumor cell load was quantified by immunocytochemistry. Gene activity was determined by qRT-PCR.

RESULTS: Twenty four out of 226 LNs were positive in routine histopathology and 51 in single cell analysis. PSA mRNA level correlated with tumor cell density in patients with a positive immunocytochemistry. Gene activity of PCA3 was upregulated in metastatic LNs and correlated with tumor cell density in patients with tumor-invaded LNs as detected by immunocytochemistry.

CONCLUSIONS: PCA3 gene expression discriminates LN metastasis and might outperform PSA gene activity in reflecting tumor cell burden in pelvic LNs of PCa patients.

Written by:
Tsaur I, Hennenlotter J, Oppermann E, Munz M, Kuehs U, Stenzl A, Schilling D.   Are you the author?
Department of Urology, University Hospital Frankfurt, Frankfurt, Germany; Department of Urology, University Hospital Tuebingen, Tuebingen, Germany; Department of Surgery, University Hospital Frankfurt, Frankfurt, Germany; Department of Urology, University Hospital Tuebingen, Tuebingen, Germany.

Reference: Cancer Biomark. 2015 Mar 3. Epub ahead of print.


PubMed Abstract
PMID: 25769446

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