Clinical Cancer Research Candidate Pathways, Whole Genome Scans: Reconciling Results, Looking into the Future Translational Cancer Medicine 2008: Cancer Clinical Trials and Personalized Medicine
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Cancer Research Clinical Cancer Research
Cancer Epidemiology Biomarkers & Prevention Molecular Cancer Therapeutics
Molecular Cancer Research Cancer Prevention Research
Cancer Prevention Journals Portal Cancer Reviews Online
Annual Meeting Education Book Cell Growth & Differentiation

Clinical Cancer Research 14, 1734-1743, March 15, 2008. doi: 10.1158/1078-0432.CCR-07-1494
© 2008 American Association for Cancer Research

This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Supplementary Data
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Google Scholar
Right arrow Articles by Kosari, F.
Right arrow Articles by Vasmatzis, G.
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kosari, F.
Right arrow Articles by Vasmatzis, G.

Imaging, Diagnosis, Prognosis

Identification of Prognostic Biomarkers for Prostate Cancer

Farhad Kosari1,2, Jan Marie A. Munz1,2, C. Dilara Savci-Heijink1,2, Craig Spiro1,2, Eric W. Klee1,2, Dagmar Marie Kube1, Lori Tillmans1,2, Jeff Slezak1,3, R. Jeffrey Karnes1,4, John C. Cheville1 and George Vasmatzis1

Authors' Affiliations: 1 Mayo Clinic Cancer Center, 2 Department of Laboratory Medicine and Pathology, Divisions of Experimental and Anatomic Pathology, 3 Department of Health Sciences Research, and 4 Department of Urology, Mayo Clinic, Rochester, Minnesota

Requests for reprints: George Vasmatzis or John C. Cheville, 200 First Street SW, Rochester, MN 55905. Phone: 507-266-4617; Fax: 507-266-5193; E-mail: Vasmatzis.george{at}mayo.edu or Phone: 507-284-251; Fax: 507-284-1599; E-mail: Cheville.John{at}mayo.edu.

Purpose: This paper describes a process for the identification of genes that can report on the aggressiveness of prostate tumors and thereby add to the information provided by current pathologic analysis.

Materials and Methods: Expression profiling data from over 100 laser capture microdissection derived samples from nonneoplastic epithelium; Gleason patterns 3, 4, and 5 and node metastasis prostate cancer were used to identify genes at abnormally high levels in only some tumors. These variably overexpressed genes were stratified by their association with aggressive phenotypes and were subsequently filtered to exclude genes with redundant expression patterns. Selected genes were validated in a case-control study in which cases (systemic progression within 5 years) and controls (no systemic progression at 7 years of follow-up) were matched for all clinical and pathologic criteria from time of prostatectomy (n = 175). Both cases and controls, therefore, could have nodal invasion or seminal vesicle involvement at the time of initial treatment.

Results: A number of candidate variably overexpressed genes selected for their association with aggressive prostate cancer phenotype were evaluated in the case control study. The most prominent candidates were SSTR1 and genes related to proliferation, including TOP2A.

Conclusions: The process described here identified genes that add information not available from current clinical measures and can improve the prognosis of prostate cancer.







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Cancer Research Clinical Cancer Research
Cancer Epidemiology Biomarkers & Prevention Molecular Cancer Therapeutics
Molecular Cancer Research Cancer Prevention Research
Cancer Prevention Journals Portal Cancer Reviews Online
Annual Meeting Education Book Cell Growth & Differentiation
Copyright © 2008 by the American Association for Cancer Research.