Literature DB >> 28941923

Validation of GEMCaP as a DNA Based Biomarker to Predict Prostate Cancer Recurrence after Radical Prostatectomy.

Hao G Nguyen1, Christopher Welty1, Karla Lindquist1, Vy Ngo1, Elizabeth Gilbert1, Henrik Bengtsson2, Cristina Magi-Galluzzi3, Jerome Jean-Gilles4, Jorge Yao4, Matthew Cooperberg1, Edward Messing5, Eric A Klein6, Peter R Carroll1, Pamela L Paris7.   

Abstract

PURPOSE: We aimed to validate GEMCaP (Genomic Evaluators of Metastatic Cancer of the Prostate) as a novel copy number signature predictive of prostate cancer recurrence.
MATERIALS AND METHODS: We randomly selected patients who underwent radical prostatectomy at Cleveland Clinic or University of Rochester from 2000 to 2005. DNA isolated from the cancer region was extracted and subjected to high resolution array comparative genomic hybridization. A high GEMCaP score was defined as 20% or greater of genomic loci showing copy number gain or loss in a given tumor. Cox regression was used to evaluate associations between the GEMCaP score and the risk of biochemical recurrence.
RESULTS: We report results in 140 patients. Overall 38% of patients experienced recurrence with a median time to recurrence of 45 months. Based on the CAPRA-S (Cancer of the Prostate Risk Assessment Post-Surgical) score 39% of the patients were at low risk, 42% were at intermediate risk and 19% were at high risk. The GEMCaP score was high (20% or greater) in 31% of the cohort. A high GEMCaP score was associated with a higher risk of biochemical recurrence (HR 2.69, 95% CI 1.51-4.77) and it remained associated after adjusting for CAPRA-S score and age (HR 1.94, 95% CI 1.06-3.56). The C-index of GEMCaP alone was 0.64, which improved when combined with the CAPRA-S score and patient age (C-index = 0.75).
CONCLUSIONS: A high GEMCaP score was associated with biochemical recurrence in 2 external cohorts. This remained true after adjusting for clinical and pathological factors. The GEMCaP biomarker could be an efficient and effective clinical risk assessment tool to identify patients with prostate cancer for early adjuvant therapy.
Copyright © 2018 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  genomics; local; neoplasm recurrence; prostate specific antigen; prostatic neoplasms; risk assessment

Mesh:

Substances:

Year:  2017        PMID: 28941923     DOI: 10.1016/j.juro.2017.09.071

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  3 in total

1.  Urinary exosomal microRNA profiling in intermediate-risk prostate cancer.

Authors:  Mee Young Kim; Hyunwoo Shin; Hyong Woo Moon; Yong Hyun Park; Jaesung Park; Ji Youl Lee
Journal:  Sci Rep       Date:  2021-04-01       Impact factor: 4.379

2.  A 38-gene model comprised of key TET2-associated genes shows additive utility to high-risk prostate cancer cases in the prognostication of biochemical recurrence.

Authors:  Shivani Kamdar; Neil E Fleshner; Bharati Bapat
Journal:  BMC Cancer       Date:  2020-10-02       Impact factor: 4.430

3.  Breast and prostate cancers harbor common somatic copy number alterations that consistently differ by race and are associated with survival.

Authors:  Yalei Chen; Sudha M Sadasivan; Ruicong She; Indrani Datta; Kanika Taneja; Dhananjay Chitale; Nilesh Gupta; Melissa B Davis; Lisa A Newman; Craig G Rogers; Pamela L Paris; Jia Li; Benjamin A Rybicki; Albert M Levin
Journal:  BMC Med Genomics       Date:  2020-08-20       Impact factor: 3.063

  3 in total

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