Literature DB >> 18199732

Nine-gene molecular signature is not associated with prostate cancer death in a watchful waiting cohort.

Lorelei A Mucci1, Yudi Pawitan, Francesca Demichelis, Katja Fall, Jennifer R Stark, Hans-Olov Adami, Swen-Olof Andersson, Ove Andrén, Anna S Eisenstein, Lars Holmberg, Wei Huang, Philip W Kantoff, Sven Perner, Meir J Stampfer, Jan-Erik Johansson, Mark A Rubin.   

Abstract

Tumor molecular markers hold promise to distinguish potentially lethal from indolent prostate cancer and to guide treatment choices. A previous study identified a nine-gene molecular signature in tumors associated with prostate-specific antigen relapse after prostatectomy. We examined this molecular model in relation to prostate cancer death among 172 men with initially localized disease. We quantified protein expression of the nine genes in tumors to classify progression risk. Accounting for clinical prognostic factors, the nine-gene model did not provide discrimination to predict lethal and indolent prostate cancer.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18199732     DOI: 10.1158/1055-9965.EPI-07-0722

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  5 in total

1.  Validation of a 10-gene molecular signature for predicting biochemical recurrence and clinical metastasis in localized prostate cancer.

Authors:  Hatem Abou-Ouf; Mohammed Alshalalfa; Mandeep Takhar; Nicholas Erho; Bryan Donnelly; Elai Davicioni; R Jeffrey Karnes; Tarek A Bismar
Journal:  J Cancer Res Clin Oncol       Date:  2018-03-06       Impact factor: 4.553

2.  Evaluating a 4-marker signature of aggressive prostate cancer using time-dependent AUC.

Authors:  Travis A Gerke; Neil E Martin; Zhihu Ding; Elizabeth J Nuttall; Edward C Stack; Edward Giovannucci; Rosina T Lis; Meir J Stampfer; Phillip W Kantoff; Giovanni Parmigiani; Massimo Loda; Lorelei A Mucci
Journal:  Prostate       Date:  2015-09-07       Impact factor: 4.104

3.  Integrative genomic profiling of human prostate cancer.

Authors:  Barry S Taylor; Nikolaus Schultz; Haley Hieronymus; Anuradha Gopalan; Yonghong Xiao; Brett S Carver; Vivek K Arora; Poorvi Kaushik; Ethan Cerami; Boris Reva; Yevgeniy Antipin; Nicholas Mitsiades; Thomas Landers; Igor Dolgalev; John E Major; Manda Wilson; Nicholas D Socci; Alex E Lash; Adriana Heguy; James A Eastham; Howard I Scher; Victor E Reuter; Peter T Scardino; Chris Sander; Charles L Sawyers; William L Gerald
Journal:  Cancer Cell       Date:  2010-06-24       Impact factor: 31.743

Review 4.  The role of treatment modality on the utility of predictive tissue biomarkers in clinical prostate cancer: a systematic review.

Authors:  Naveen Kachroo; Vincent J Gnanapragasam
Journal:  J Cancer Res Clin Oncol       Date:  2012-11-28       Impact factor: 4.553

5.  Multi-transcript profiling in archival diagnostic prostate cancer needle biopsies to evaluate biomarkers in non-surgically treated men.

Authors:  Naveen Kachroo; Anne Y Warren; Vincent J Gnanapragasam
Journal:  BMC Cancer       Date:  2014-09-16       Impact factor: 4.430

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.