Improved Prediction Of Prostate Cancer Recurrence Through Systems Pathology

Main Category: Prostate / Prostate Cancer
Also Included In: Urology / Nephrology;  Men's health;  Clinical Trials / Drug Trials
Article Date: 15 Jul 2007 - 0:00 PDT

email icon email to a friend   printer icon printer friendly   write icon opinions  

Current Article Ratings:

Patient / Public:3 stars

3 (1 votes)

Healthcare Prof:not yet rated


UroToday.com- Dr. Cordon-Cardo and collaborators report development of systems pathology that incorporates clinical and pathologic variables to predict prostate cancer (CaP) recurrence. Their work appears in the online version of the Journal of Clinical Investigation.

Systems pathology is a methodology that uses object-oriented image analysis, pattern recognition, and quantitative biomarker multiplexing that are analyzed by supervised machine learning algorithms. An initial study based upon 323 patients identified that high levels of androgen receptor as identified by immunohistochemical staining were correlated with a reduced time to PSA recurrence. This was then combined with the pathologic variables of biopsy Gleason score, seminal vesicle invasion, extracapsular extension, primary radical prostatectomy Gleason score, and preoperative PSA in addition to the texture of epithelial nuclei and cytoplasm in tumor areas for the systems pathology platform.

A validation study was performed in 366 patients but only 61 of these had adequate tissue in the microarrays to be included. PSA recurrence was found in 26 of the 61 men (43%). The model applied to these 61 patients demonstrated a sensitivity of 96% and a specificity of 72% for the detection of PSA recurrence by 5 years post surgery.

The authors comment that this approach provides an aspect of personalized medicine to help decision-making.

Cordon-Cardo C, Kotsianti A, Verbel DA, Teverovskiy M, Capodieci P, Hamann S, Jeffers Y, Clayton M, Elkhettabi F, Khan FM, Sapir M, Bayer-Zubek V, Vengrenyuk Y, Fogarsi S, Saidi O, Reuter VE, Scher HI, Kattan MW, jr. Bianco FJ, Wheeler TM, Ayala GE, Scardino PT, Donovan MJ

J Clin Invest. ePub, June 7, 2007
Doi: 10.1172/JCI31399

Reported by UroToday.com Contributing Editor Christopher P. Evans, M.D

UroToday - the only urology website with original content written by global urology key opinion leaders actively engaged in clinical practice.

To access the latest urology news releases from UroToday, go to: www.urotoday.com

----------------------------
Copyright © 2007 - UroToday
Reproduced for Medical News Today with permission of UroToday.
----------------------------

Article adapted by Medical News Today from original press release.
Visit our prostate / prostate cancer section for the latest news on this subject.
There are no references listed for this article.
Please use one of the following formats to cite this article in your essay, paper or report:

MLA
Urology Today. "Improved Prediction Of Prostate Cancer Recurrence Through Systems Pathology." Medical News Today. MediLexicon, Intl., 15 Jul. 2007. Web.
15 Feb. 2012. <http://www.medicalnewstoday.com/releases/76846.php>

APA
Urology Today. (2007, July 15). "Improved Prediction Of Prostate Cancer Recurrence Through Systems Pathology." Medical News Today. Retrieved from
http://www.medicalnewstoday.com/releases/76846.php.

Please note: If no author information is provided, the source is cited instead.


Prostate / Prostate Cancer

Most Popular Articles



Follow Our Prostate News On Twitter

Follow Us On Twitter
Get the latest news for this category delivered straight to your Twitter account. Simply visit our Prostate / Prostate Cancer Twitter account and select the 'follow' option.



View list of all 'What Is...' articles »