Literature DB >> 16247872

Preliminary evaluation of prostate cancer metastatic risk biomarkers.

P L Paris1, V Weinberg, J Simko, A Andaya, G Albo, M A Rubin, P R Carroll, C Collins.   

Abstract

Prostate cancer patients at high risk of metastasis need to be identified as early as possible since metastasis is invariably fatal. Treatment could be tailored to risk. Recent array comparative genomic hybridization (aCGH) studies of primary and metastatic prostate tumors identified 39 BAC clones capable of detecting genomic signatures of metastasis. We termed these loci the genomic evaluators of metastatic CaP (GEMCaP). Risk assessments were made on a set of men who were managed with radical prostatectomy. We compared the utility of GEMCaP loci and the Kattan nomogram, a common risk assessment tool, in relation to biochemical outcome. This preliminary evaluation experiment suggests we can use aCGH to detect genomic signatures of metastasis in primary tumors with an accuracy of 78%. The classification accuracy for the Kattan nomogram was 75%. Therefore, validation of GEMCaP is warranted in a larger, appropriately designed cohort.

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Year:  2005        PMID: 16247872     DOI: 10.1177/172460080502000301

Source DB:  PubMed          Journal:  Int J Biol Markers        ISSN: 0393-6155            Impact factor:   2.659


  6 in total

1.  Genomic profiling of hormone-naïve lymph node metastases in patients with prostate cancer.

Authors:  Pamela L Paris; Matthias D Hofer; Giancarlo Albo; Rainer Kuefer; Juergen E Gschwend; Richard E Hautmann; Jane Fridyland; Jeffrey Simko; Peter R Carroll; Mark A Rubin; Colin Collins
Journal:  Neoplasia       Date:  2006-12       Impact factor: 5.715

2.  Understanding metastatic SCCHN cells from unique genotypes to phenotypes with the aid of an animal model and DNA microarray analysis.

Authors:  Xin Zhang; Ling Su; Ali A Pirani; Haiyan Wu; Hongzheng Zhang; Dong M Shin; Kim M Gernert; Zhuo Georgia Chen
Journal:  Clin Exp Metastasis       Date:  2006-09-22       Impact factor: 5.150

3.  A group of genome-based biomarkers that add to a Kattan nomogram for predicting progression in men with high-risk prostate cancer.

Authors:  Pamela L Paris; Vivian Weinberg; Giancarlo Albo; Ritu Roy; Catherine Burke; Jeffry Simko; Peter Carroll; Colin Collins
Journal:  Clin Cancer Res       Date:  2009-12-22       Impact factor: 12.531

4.  Chemokine markers predict biochemical recurrence of prostate cancer following prostatectomy.

Authors:  David L Blum; Tatsuki Koyama; Amosy E M'Koma; Juan M Iturregui; Magaly Martinez-Ferrer; Consolate Uwamariya; Joseph A Smith; Peter E Clark; Neil A Bhowmick
Journal:  Clin Cancer Res       Date:  2008-12-01       Impact factor: 12.531

5.  Performance of the Genomic Evaluators of Metastatic Prostate Cancer (GEMCaP) tumor biomarker for identifying recurrent disease in African American patients.

Authors:  Albert M Levin; Karla J Lindquist; Andrew Avila; John S Witte; Pamela L Paris; Benjamin A Rybicki
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-06-02       Impact factor: 4.254

6.  Decoding the fine-scale structure of a breast cancer genome and transcriptome.

Authors:  Stanislav Volik; Benjamin J Raphael; Guiqing Huang; Michael R Stratton; Graham Bignel; John Murnane; John H Brebner; Krystyna Bajsarowicz; Pamela L Paris; Quanzhou Tao; David Kowbel; Anna Lapuk; Dmitri A Shagin; Irina A Shagina; Joe W Gray; Jan-Fang Cheng; Pieter J de Jong; Pavel Pevzner; Colin Collins
Journal:  Genome Res       Date:  2006-02-03       Impact factor: 9.043

  6 in total

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