Home
October 2009 November 2009 December 2009
Su Mo Tu We Th Fr Sa
Week 45 1 2 3 4 5 6 7
Week 46 8 9 10 11 12 13 14
Week 47 15 16 17 18 19 20 21
Week 48 22 23 24 25 26 27 28
Week 49 29 30
Reach urologists

Circulating Tumor Cells in Patients with Castration-Resistant Prostate Cancer Baseline Values and Correlation with Prognostic Factors - Abstract Show Comments PDF Print E-mail
  
Tuesday, 14 July 2009

Department of Clinical Oncology, Nevada Cancer Institute, One Breakthrough Way, Las Vegas, Nevada 89135, USA.

Circulating tumor cells (CTC) have been recently accepted by the Food and Drug Administration of the United States as a prognostic tool in advanced prostate cancer. However, a number of questions remain about the use of the test. The optimal clinical cut-off has never been determined. Also, the predictive value of CTCs in the setting of low-burden advanced prostate cancer has not been evaluated. Herein we describe our experience with the CellSearch method of CTC enumeration.

CTCs enumerated from 100 patients with castration-resistant prostate cancer were correlated with clinicopathologic characteristics and conventional biomarkers, such as prostate-specific antigen and lactate dehydrogenase. Patients received ongoing medical oncologic follow-up for up to 26 months, and overall survival status was documented.

Forty-nine of the patients (49%) were alive at the end of the study. CTC counts correlate well with overall survival (P < 0.001) but are also tightly interrelated to other biomarkers. Threshold analysis identified 4 CTC/7.5 cc (compared with the approved value of 5) as an optimal cut-off value with respect to correlation with survival outcomes as well as predictive of metastatic disease. Univariate analysis confirmed a tight interrelationship between cut-off CTC values and biomarkers. Multivariate analysis with bootstrap sampling validation identified lactate dehydrogenase (P = 0.002) and CTCs (P = 0.001) as independently prognostically significant.

Baseline CTC values provide important prognostic information and specific prediction of metastatic disease. Their presence correlates with classic biomarkers.

Written by:
Goodman OB Jr, Fink LM, Symanowski JT, Wong B, Grobaski B, Pomerantz D, Ma Y, Ward DC, Vogelzang NJ.   Are you the author?

Reference:
Cancer Epidemiol Biomarkers Prev. 2009 Jun;18(6):1904-13.
doi:10.1158/1055-9965.EPI-08-1173

PubMed Abstract
PMID:19505924

UroToday.com Prostate Cancer Section

Reader Comments

Please log-in or register in order to submit comments.

Powered by AkoComment!

 
User Rating: / 0
PoorBest


 

Bookmark and Share
< Prev   Next >

Member's Section

Login

Sign Up

Quick Search

Meet the Expert


All Experts


Featured Conference

Media and Publisher

Advertising Rates
Reprints

Working with Industry

Case Studies
Sponsorship Opportunities

Prostate Cancer
Sponsored by