已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Biopsy Based Proteomic Assay Predicts Risk of Biochemical Recurrence after Radical Prostatectomy

前列腺切除术 医学 生化复发 前列腺癌 辅助放疗 活检 泌尿科 放射治疗 预测值 肿瘤科 内科学 病理
作者
Fred Saad,Mathieu Latour,Jean‐Baptiste Lattouf,Hugues Widmer,Kevin C. Zorn,Anne-Marie Mes-Masson,Véronique Ouellet,Genevieve Saad,Amol Prakash,Sangita Choudhury,Gang Han,Pierre I. Karakiewicz,Jerome P. Richie
出处
期刊:The Journal of Urology [Lippincott Williams & Wilkins]
卷期号:197 (4): 1034-1040 被引量:9
标识
DOI:10.1016/j.juro.2016.09.116
摘要

No AccessJournal of UrologyAdult Urology1 Apr 2017Biopsy Based Proteomic Assay Predicts Risk of Biochemical Recurrence after Radical Prostatectomy Fred Saad, Mathieu Latour, Jean-Baptiste Lattouf, Hugues Widmer, Kevin C. Zorn, Anne-Marie Mes-Masson, Veronique Ouellet, Genevieve Saad, Amol Prakash, Sibgat Choudhury, Gang Han, Pierre Karakiewicz, and Jerome P. Richie Fred SaadFred Saad Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada Université de Montréal Endowed Chair in Prostate Cancer, Montreal, Quebec, Canada Centre de recherche du Centre Hospitalier de l'Université de Montréal and Institut du cancer de Montréal, Montreal, Quebec, Canada Department of Surgery, Université de Montréal, Montreal, Quebec, Canada More articles by this author , Mathieu LatourMathieu Latour Université de Montréal Endowed Chair in Prostate Cancer, Montreal, Quebec, Canada Department of Pathology and Cellular Biology, Université de Montréal, Montreal, Quebec, Canada More articles by this author , Jean-Baptiste LattoufJean-Baptiste Lattouf Centre de recherche du Centre Hospitalier de l'Université de Montréal and Institut du cancer de Montréal, Montreal, Quebec, Canada Department of Surgery, Université de Montréal, Montreal, Quebec, Canada More articles by this author , Hugues WidmerHugues Widmer Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada Department of Surgery, Université de Montréal, Montreal, Quebec, Canada More articles by this author , Kevin C. ZornKevin C. Zorn Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada Department of Surgery, Université de Montréal, Montreal, Quebec, Canada More articles by this author , Anne-Marie Mes-MassonAnne-Marie Mes-Masson Centre de recherche du Centre Hospitalier de l'Université de Montréal and Institut du cancer de Montréal, Montreal, Quebec, Canada Department of Medicine, Université de Montréal, Montreal, Quebec, Canada More articles by this author , Veronique OuelletVeronique Ouellet Centre de recherche du Centre Hospitalier de l'Université de Montréal and Institut du cancer de Montréal, Montreal, Quebec, Canada More articles by this author , Genevieve SaadGenevieve Saad Centre de recherche du Centre Hospitalier de l'Université de Montréal and Institut du cancer de Montréal, Montreal, Quebec, Canada More articles by this author , Amol PrakashAmol Prakash Metamark Genetics, Inc., Cambridge, Massachusetts More articles by this author , Sibgat ChoudhurySibgat Choudhury Metamark Genetics, Inc., Cambridge, Massachusetts More articles by this author , Gang HanGang Han Metamark Genetics, Inc., Cambridge, Massachusetts Department of Epidemiology and Biostatistics, Texas A&M University, College Station, Texas More articles by this author , Pierre KarakiewiczPierre Karakiewicz Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, Montreal, Quebec, Canada More articles by this author , and Jerome P. RichieJerome P. Richie Metamark Genetics, Inc., Cambridge, Massachusetts More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2016.09.116AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract Purpose: Current clinicopathological parameters are insufficient to predict the likelihood of biochemical recurrence in patients with prostate cancer after radical prostatectomy. Such information may help identify patients who would likely benefit from adjuvant radiotherapy rather than active surveillance. A multiplex proteomic assay, previously tested on biopsies and found to be predictive of favorable or unfavorable pathology at radical prostatectomy, was assessed for its predictive value to identify patients at higher risk for biochemical relapse. Materials and Methods: Proteomic assays from core needle biopsies of 288 men who subsequently underwent radical prostatectomy at CHUM (Centre hospitalier de l’Université de Montréal) were evaluated for the prediction of subsequent biochemical recurrence. Results: Of the 288 men, biochemical relapse was observed in 47 (16.3%) and metastases were found in 5 (1.7%). Median followup was 68.5 months. The proteomic assay clearly separated patients into 3 categories, including those at low, intermediate and high risk for biochemical relapse (p = 0.0007). Assay scores predicted biochemical relapse on univariate analysis (HR 1.724, p = 0.0002 per 20% change in score), significantly better than other preoperative prognostic parameters. Additionally, the assay score had a significantly higher p value when combined with clinical National Comprehensive Cancer Network® stage compared to stage alone (HR 1.579, p = 0.0017 per 20% change in score). Conclusions: A protein based assay score derived from diagnostic needle biopsy has strong predictive ability for biochemical relapse after surgery. These results suggest that this assay score can be used at the diagnostic stage to identify patients in whom prostate cancer is potentially more biologically aggressive and active treatment should be considered. References 1 : Cancer statistics, 2015. CA Cancer J Clin2015; 65: 5. Google Scholar 2 Final Update Summary: Prostate Cancer: Screening. Rockville: United States Preventive Services Task Force 2015. Google Scholar 3 : Cancer statistics, 2016. CA Cancer J Clin2016; 66: 7. Google Scholar 4 : Localized prostate cancer: can we better define who is at risk of unfavourable outcome?. BJU Int2008; 101: 5. Google Scholar 5 : Prostate cancer diagnosis and treatment after the introduction of prostate-specific antigen screening: 1986-2005. J Natl Cancer Inst2009; 101: 1325. Google Scholar 6 : An update of the Gleason grading system. J Urol2010; 183: 433. Link, Google Scholar 7 : What percentage of patients with newly diagnosed carcinoma of the prostate are candidates for surveillance? An analysis of the CaPSURE database. J Urol2008; 180: 1330. Link, Google Scholar 8 : Gleason score 6 adenocarcinoma: should it be labeled as cancer?. J Clin Oncol2012; 30: 4294. Google Scholar 9 : Gleason score and lethal prostate cancer: does 3 + 4 = 4 + 3?. J Clin Oncol2009; 27: 3459. Google Scholar 10 : Overdiagnosis and overtreatment of prostate cancer. Eur Urol2014; 65: 1046. Google Scholar 11 : Comprehensive comparison of health-related quality of life after contemporary therapies for localized prostate cancer. J Clin Oncol2002; 20: 557. Google Scholar 12 : Contemporary risk profile of prostate cancer in the United States. J Natl Cancer Inst2009; 101: 1280. Google Scholar 13 : Systematic review and meta-analysis of studies reporting oncologic outcome after robot-assisted radical prostatectomy. Eur Urol2012; 62: 382. Google Scholar 14 : Preoperative nomogram predicting the 10-year probability of prostate cancer recurrence after radical prostatectomy. J Natl Cancer Inst2006; 98: 715. Google Scholar 15 : CAPRA-S predicts outcome for adjuvant and salvage external beam radiotherapy after radical prostatectomy. Can Urol Assoc J2016; 10: 132. Google Scholar 16 : The CAPRA-S score: a straightforward tool for improved prediction of outcomes after radical prostatectomy. Cancer2011; 117: 5039. Google Scholar 17 : Active surveillance: the Canadian experience with an “inclusive approach”. J Natl Cancer Inst Monogr2012; 2012: 234. Google Scholar 18 : Development and clinical validation of an in situ biopsy-based multimarker assay for risk stratification in prostate cancer. Clin Cancer Res2015; 21: 2591. Google Scholar 19 : Testing for improvement in prediction model performance. Stat Med2013; 32: 1467. Google Scholar 20 : Utility of risk models in decision making after radical prostatectomy: lessons from a natural history cohort of intermediate- and high-risk men. Eur Urol2016; 69: 496. Google Scholar © 2017 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetailsCited byAtala A (2019) Re: The Proteogenomic Landscape of Curable Prostate CancerJournal of Urology, VOL. 202, NO. 4, (664-664), Online publication date: 1-Oct-2019. Volume 197Issue 4April 2017Page: 1034-1040Supplementary Materials Advertisement Copyright & Permissions© 2017 by American Urological Association Education and Research, Inc.Keywordsprostatic neoplasmscancerbiomarkersneoplasm recurrencebiopsylocalwatchful waitingAcknowledgmentsNathalie Delvoye updated patient clinical data.MetricsAuthor Information Fred Saad Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada Université de Montréal Endowed Chair in Prostate Cancer, Montreal, Quebec, Canada Centre de recherche du Centre Hospitalier de l'Université de Montréal and Institut du cancer de Montréal, Montreal, Quebec, Canada Department of Surgery, Université de Montréal, Montreal, Quebec, Canada More articles by this author Mathieu Latour Université de Montréal Endowed Chair in Prostate Cancer, Montreal, Quebec, Canada Department of Pathology and Cellular Biology, Université de Montréal, Montreal, Quebec, Canada More articles by this author Jean-Baptiste Lattouf Centre de recherche du Centre Hospitalier de l'Université de Montréal and Institut du cancer de Montréal, Montreal, Quebec, Canada Department of Surgery, Université de Montréal, Montreal, Quebec, Canada More articles by this author Hugues Widmer Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada Department of Surgery, Université de Montréal, Montreal, Quebec, Canada More articles by this author Kevin C. Zorn Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada Department of Surgery, Université de Montréal, Montreal, Quebec, Canada More articles by this author Anne-Marie Mes-Masson Centre de recherche du Centre Hospitalier de l'Université de Montréal and Institut du cancer de Montréal, Montreal, Quebec, Canada Department of Medicine, Université de Montréal, Montreal, Quebec, Canada More articles by this author Veronique Ouellet Centre de recherche du Centre Hospitalier de l'Université de Montréal and Institut du cancer de Montréal, Montreal, Quebec, Canada More articles by this author Genevieve Saad Centre de recherche du Centre Hospitalier de l'Université de Montréal and Institut du cancer de Montréal, Montreal, Quebec, Canada More articles by this author Amol Prakash Metamark Genetics, Inc., Cambridge, Massachusetts More articles by this author Sibgat Choudhury Metamark Genetics, Inc., Cambridge, Massachusetts More articles by this author Gang Han Metamark Genetics, Inc., Cambridge, Massachusetts Department of Epidemiology and Biostatistics, Texas A&M University, College Station, Texas More articles by this author Pierre Karakiewicz Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, Montreal, Quebec, Canada More articles by this author Jerome P. Richie Metamark Genetics, Inc., Cambridge, Massachusetts More articles by this author Expand All Advertisement PDF downloadLoading ...
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
yanxuhuan完成签到 ,获得积分10
刚刚
刘兆亮完成签到,获得积分10
刚刚
林狗发布了新的文献求助10
刚刚
在水一方应助王MY采纳,获得30
4秒前
妍yan完成签到,获得积分10
6秒前
10秒前
ccm应助王老裂采纳,获得10
11秒前
11秒前
英姑应助王MY采纳,获得10
11秒前
13秒前
baihehuakai完成签到 ,获得积分10
13秒前
魔幻蓉完成签到 ,获得积分10
14秒前
tlm发布了新的文献求助10
15秒前
小二郎应助现代雨采纳,获得10
16秒前
张张张关注了科研通微信公众号
17秒前
健壮慕梅完成签到,获得积分10
17秒前
Lucas应助小giao吃不饱采纳,获得10
19秒前
aaa发布了新的文献求助10
19秒前
zzz完成签到 ,获得积分10
27秒前
27秒前
27秒前
CGFHEMAN完成签到 ,获得积分10
30秒前
31秒前
wangjue完成签到,获得积分10
32秒前
鬲木完成签到,获得积分10
32秒前
Ll发布了新的文献求助10
32秒前
小炮仗完成签到 ,获得积分10
33秒前
c1yed发布了新的文献求助10
33秒前
hvivi6完成签到,获得积分10
34秒前
nk完成签到 ,获得积分10
35秒前
36秒前
张张张发布了新的文献求助10
37秒前
38秒前
39秒前
小马甲应助aaa采纳,获得10
39秒前
daigang完成签到 ,获得积分10
41秒前
123完成签到,获得积分10
42秒前
c1yed完成签到,获得积分20
44秒前
44秒前
hzauyj发布了新的文献求助10
44秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Handbook of Milkfat Fractionation Technology and Application, by Kerry E. Kaylegian and Robert C. Lindsay, AOCS Press, 1995 1000
Athena操作手册 500
The Affinity Designer Manual - Version 2: A Step-by-Step Beginner's Guide 500
Affinity Designer Essentials: A Complete Guide to Vector Art: Your Ultimate Handbook for High-Quality Vector Graphics 500
Optimisation de cristallisation en solution de deux composés organiques en vue de leur purification 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5041846
求助须知:如何正确求助?哪些是违规求助? 4272541
关于积分的说明 13321139
捐赠科研通 4085186
什么是DOI,文献DOI怎么找? 2235017
邀请新用户注册赠送积分活动 1242602
关于科研通互助平台的介绍 1169370