Literature DB >> 18583469

Testing a multigene signature of prostate cancer death in the Swedish Watchful Waiting Cohort.

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

Abstract

Although prostate cancer is a leading cause of cancer death, most men die with and not from their disease, underscoring the urgency to distinguish potentially lethal from indolent prostate cancer. We tested the prognostic value of a previously identified multigene signature of prostate cancer progression to predict cancer-specific death. The Orebro Watchful Waiting Cohort included 172 men with localized prostate cancer of whom 40 died of prostate cancer. We quantified protein expression of the markers in tumor tissue by immunohistochemistry and stratified the cohort by quintiles according to risk classification. We accounted for clinical variables (age, Gleason, nuclear grade, and tumor volume) using Cox regression and calculated receiver operator curves to compare discriminatory ability. The hazard ratio of prostate cancer death increased with increasing risk classification by the multigene model, with a 16-fold greater risk comparing highest-risk versus lowest-risk strata, and predicted outcome independent of clinical factors (P = 0.002). The best discrimination came from combining information from the multigene markers and clinical data, which perfectly classified the lowest-risk stratum where no one developed lethal disease; using the two lowest-risk groups as reference, the hazard ratio (95% confidence interval) was 11.3 (4.0-32.8) for the highest-risk group and difference in mortality at 15 years was 60% (50-70%). The combined model provided greater discriminatory ability (area under the curve = 0.78) than the clinical model alone (area under the curve = 0.71; P = 0.04). Molecular tumor markers can add to clinical variables to help distinguish lethal and indolent prostate cancer and hold promise to guide treatment decisions.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18583469      PMCID: PMC2536630          DOI: 10.1158/1055-9965.EPI-08-0044

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


  29 in total

1.  SAS macros for estimation of the cumulative incidence functions based on a Cox regression model for competing risks survival data.

Authors:  Susanne Rosthøj; Per K Andersen; Steen Z Abildstrom
Journal:  Comput Methods Programs Biomed       Date:  2004-04       Impact factor: 5.428

2.  Pretreatment predictors of time to cancer specific death after prostate specific antigen failure.

Authors:  Anthony V D'Amico; Kerri Cote; Marian Loffredo; Andrew A Renshaw; Ming-Hui Chen
Journal:  J Urol       Date:  2003-04       Impact factor: 7.450

3.  Use of Gleason score, prostate specific antigen, seminal vesicle and margin status to predict biochemical failure after radical prostatectomy.

Authors:  M L Blute; E J Bergstralh; A Iocca; B Scherer; H Zincke
Journal:  J Urol       Date:  2001-01       Impact factor: 7.450

4.  TMPRSS2:ERG gene fusion associated with lethal prostate cancer in a watchful waiting cohort.

Authors:  F Demichelis; K Fall; S Perner; O Andrén; F Schmidt; S R Setlur; Y Hoshida; J-M Mosquera; Y Pawitan; C Lee; H-O Adami; L A Mucci; P W Kantoff; S-O Andersson; A M Chinnaiyan; J-E Johansson; M A Rubin
Journal:  Oncogene       Date:  2007-01-22       Impact factor: 9.867

5.  A randomized trial comparing radical prostatectomy with watchful waiting in early prostate cancer.

Authors:  Lars Holmberg; Anna Bill-Axelson; Fred Helgesen; Jaakko O Salo; Per Folmerz; Michael Häggman; Swen-Olof Andersson; Anders Spångberg; Christer Busch; Steg Nordling; Juni Palmgren; Hans-Olov Adami; Jan-Erik Johansson; Bo Johan Norlén
Journal:  N Engl J Med       Date:  2002-09-12       Impact factor: 91.245

6.  Quality of life after radical prostatectomy or watchful waiting.

Authors:  Gunnar Steineck; Fred Helgesen; Jan Adolfsson; Paul W Dickman; Jan-Erik Johansson; Bo Johan Norlén; Lars Holmberg
Journal:  N Engl J Med       Date:  2002-09-12       Impact factor: 91.245

7.  Preoperative PSA velocity and the risk of death from prostate cancer after radical prostatectomy.

Authors:  Anthony V D'Amico; Ming-Hui Chen; Kimberly A Roehl; William J Catalona
Journal:  N Engl J Med       Date:  2004-07-08       Impact factor: 91.245

8.  The addition of interleukin-6 soluble receptor and transforming growth factor beta1 improves a preoperative nomogram for predicting biochemical progression in patients with clinically localized prostate cancer.

Authors:  Michael W Kattan; Shahrokh F Shariat; Ben Andrews; Kuichun Zhu; Eduardo Canto; Kazumasa Matsumoto; Masatoshi Muramoto; Peter T Scardino; Makoto Ohori; Thomas M Wheeler; Kevin M Slawin
Journal:  J Clin Oncol       Date:  2003-08-11       Impact factor: 44.544

9.  Natural history of early, localized prostate cancer.

Authors:  Jan-Erik Johansson; Ove Andrén; Swen-Olof Andersson; Paul W Dickman; Lars Holmberg; Anders Magnuson; Hans-Olov Adami
Journal:  JAMA       Date:  2004-06-09       Impact factor: 56.272

10.  Determinants of prostate cancer specific survival following radiation therapy during the prostate specific antigen era.

Authors:  Anthony V D'Amico; Kerri Cote; Marian Loffredo; Andrew A Renshaw; Delray Schultz
Journal:  J Urol       Date:  2003-12       Impact factor: 7.450

View more
  8 in total

1.  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

2.  Molecular preservation by extraction and fixation, mPREF: a method for small molecule biomarker analysis and histology on exactly the same tissue.

Authors:  Jeffrey R Shuster; Raymond S Lance; Dean A Troyer
Journal:  BMC Clin Pathol       Date:  2011-12-21

3.  Determining prostate cancer-specific death through quantification of stromogenic carcinoma area in prostatectomy specimens.

Authors:  Gustavo E Ayala; Bahar Muezzinoglu; Kai H Hammerich; Anna Frolov; Hao Liu; Peter T Scardino; Rile Li; Mohammad Sayeeduddin; Michael M Ittmann; Dov Kadmon; Brian J Miles; Thomas M Wheeler; David R Rowley
Journal:  Am J Pathol       Date:  2010-12-23       Impact factor: 4.307

Review 4.  Prostate cancer genomics: towards a new understanding.

Authors:  John S Witte
Journal:  Nat Rev Genet       Date:  2008-12-23       Impact factor: 53.242

5.  Aberrant cytoplasmic expression of p63 and prostate cancer mortality.

Authors:  Preet K Dhillon; Marc Barry; Meir J Stampfer; Sven Perner; Michelangelo Fiorentino; Alessandro Fornari; Jing Ma; Julia Fleet; Tobias Kurth; Mark A Rubin; Lorelei A Mucci
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-01-20       Impact factor: 4.254

6.  Expression changes in the stroma of prostate cancer predict subsequent relapse.

Authors:  Zhenyu Jia; Farah B Rahmatpanah; Xin Chen; Waldemar Lernhardt; Yipeng Wang; Xiao-Qin Xia; Anne Sawyers; Manuel Sutton; Michael McClelland; Dan Mercola
Journal:  PLoS One       Date:  2012-08-01       Impact factor: 3.240

7.  Quantitative comparison of immunohistochemical staining measured by digital image analysis versus pathologist visual scoring.

Authors:  Anthony E Rizzardi; Arthur T Johnson; Rachel Isaksson Vogel; Stefan E Pambuccian; Jonathan Henriksen; Amy Pn Skubitz; Gregory J Metzger; Stephen C Schmechel
Journal:  Diagn Pathol       Date:  2012-06-20       Impact factor: 2.644

8.  Constructing Bayesian networks by integrating gene expression and copy number data identifies NLGN4Y as a novel regulator of prostate cancer progression.

Authors:  Yixuan Gong; Li Wang; Uma Chippada-Venkata; Xudong Dai; William K Oh; Jun Zhu
Journal:  Oncotarget       Date:  2016-10-18
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.