Mp07-15 Utility of Pten/erg Status in a Contemporary Cohort of Men With Favorable-risk Prostate Cancers
Year: 2016
Type: article
Study design: Observational Study
Abstract: INTRODUCTION AND OBJECTIVES: In this study, we set up a real-time quantitative polymerase chain reaction (RT-qPCR) method to detect epithelial-mesenchymal transition (EMT) and stem cell gene expression status in peripheral blood to validate whether they could complement CTC enumeration in predicting the prognosis of metastatic castration-resistant prostate cancer (mCRPC).METHODS: From January 2013 to June 2014, we collected peripheral blood from 70 mCRPC patients and enumerated CTC in these blood samples using CellSearch system.At the same time, stem cell-related genes (ABCG2, PROM1 and PSCA) and EMT-related genes (TWIST1 and vimentin) were detected in peripheral blood samples using RT-qPCR assays.Patient overall survival (OS) and treatment response status were recorded in the follow-up.RESULTS: Unfavorable CTC enumerations were predictive of shorter OS (p ¼ 0.01).Also, positive stem cell gene expression indicated poor prognosis in mCRPC patients (p ¼ 0.01).A multivariate analysis indicated that serum albumin, ECOG performance status, CTC enumeration and stem cell expression status were independent prognostic factors for OS.For the 40 patients categorized into the favorable CTC enumeration group, positive stem cell gene expression also suggested poor prognosis (p ¼ 0.00).A combined prognostic model consisting of stem cell gene expression and CTC enumeration increased the concordance probability estimated value from 0.716 to 0.889 in comparison with CTC enumeration alone.For patients who received docetaxel plus prednisone as firstline chemotherapy, positive stem cell gene expression suggested a poor PSA-PFS (p ¼ 0.01) and a low PSA response rate (p ¼ 0.008).CONCLUSIONS: Detection of peripheral blood stem cell gene expression could complement CTC enumeration in predicting OS and docetaxel-based treatment effects in mCRPC patients.
Source: The Journal of Urology
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W2326494458
