Literature DB >> 27289238

A proposal of a new nomogram for predicting upstaging in contemporary D'Amico low-risk prostate cancer patients.

Sami-Ramzi Leyh-Bannurah1,2, Paolo Dell'Oglio3,4, Zhe Tian3,5, Jonas Schiffmann3,6, Shahrokh F Shariat7, Nazareno Suardi4, Montorsi Francesco4, Briganti Alberto4, Hans Heinzer8, Hartwig Huland8, Markus Graefen8, Lars Budäus8, Pierre I Karakiewicz3.   

Abstract

PURPOSE: Unfavorable prostate cancer (PCa) disease at final pathology affects at least 10 % of D'Amico low-risk patients. Thus, conservative therapies including active surveillance may be wrongfully applied. The purposes were to assess the rate of upstaging in a contemporary cohort of D'Amico low-risk PCa patients and to develop and externally validate a nomogram as upstaging prediction tool in two European cohorts.
METHODS: Analyses were restricted to 2007 patients who harbored low-risk PCa at ≥10-cores initial biopsy according to D'Amico classification (PSA <10.0 ng/ml, Gleason score <7 and clinical stage ≤T2a). Patients underwent radical prostatectomy at a high-volume center in Hamburg, Germany, from 2010 to 2015. The Hamburg cohort was randomly divided into development (n = 1338) and validation cohorts (n = 669). The development cohort was used to devise a nomogram predicting upstaging, defined as presence of ≥pT3 and/or lymph node invasion. The nomogram was externally validated in two European validation cohorts (Hamburg, n = 669; Milan, n = 465).
RESULTS: Upstaging was observed in 187/1338 (14.0 %) of low-risk patients. In multivariable models, four of ten tested variables achieved independent predictor status: age (OR 1.07, 95 % CI 1.04-1.09), PSA (OR 1.21, 95 % CI 1.12-1.31), prostate volume (OR 0.97, 95 % CI 0.96-0.98) and percentage of positive cores (OR 1.02, 95 % CI 1.01-1.03). In external validation, the nomogram demonstrated 70.8 % (Hamburg) and 70.0 % (Milan) accuracy, respectively, with excellent concordance between predicted and observed values.
CONCLUSIONS: Our proposed nomogram is capable to accurately identify D'Amico low-risk patients at risk of upstaging, utilizing four routinely available clinical variables, age, PSA, prostate volume and percentage of positive biopsy cores. Unfavorable prostate cancer disease at final pathology affects at least 10 % of D'Amico low-risk patients. Thus, we developed and externally validated a new nomogram based on contemporary low-risk prostate cancer patients to accurately identify D'Amico low-risk patients at risk of upstaging. It utilizes four routine variables, age, PSA, prostate volume and percentage of positive biopsy cores.

Entities:  

Keywords:  Active surveillance; Nomogram; PRIAS; Upstaging

Mesh:

Year:  2016        PMID: 27289238     DOI: 10.1007/s00345-016-1863-x

Source DB:  PubMed          Journal:  World J Urol        ISSN: 0724-4983            Impact factor:   4.226


  25 in total

1.  Predictive value of magnetic resonance imaging determined tumor contact length for extracapsular extension of prostate cancer.

Authors:  Eduard Baco; Erik Rud; Ljiljana Vlatkovic; Aud Svindland; Heidi B Eggesbø; Andrew J Hung; Toru Matsugasumi; Jean-Christophe Bernhard; Inderbir S Gill; Osamu Ukimura
Journal:  J Urol       Date:  2014-08-20       Impact factor: 7.450

2.  Multiinstitutional validation of the UCSF cancer of the prostate risk assessment for prediction of recurrence after radical prostatectomy.

Authors:  Matthew R Cooperberg; Stephen J Freedland; David J Pasta; Eric P Elkin; Joseph C Presti; Christopher L Amling; Martha K Terris; William J Aronson; Christopher J Kane; Peter R Carroll
Journal:  Cancer       Date:  2006-11-15       Impact factor: 6.860

3.  Multiparametric MRI Improves Accuracy of Clinical Nomograms for Predicting Extracapsular Extension of Prostate Cancer.

Authors:  Tom S Feng; Ali Reza Sharif-Afshar; Jonathan Wu; Quanlin Li; Daniel Luthringer; Rola Saouaf; Hyung L Kim
Journal:  Urology       Date:  2015-06-14       Impact factor: 2.649

Review 4.  Can Clinically Significant Prostate Cancer Be Detected with Multiparametric Magnetic Resonance Imaging? A Systematic Review of the Literature.

Authors:  Jurgen J Fütterer; Alberto Briganti; Pieter De Visschere; Mark Emberton; Gianluca Giannarini; Alex Kirkham; Samir S Taneja; Harriet Thoeny; Geert Villeirs; Arnauld Villers
Journal:  Eur Urol       Date:  2015-02-02       Impact factor: 20.096

5.  Clinical and pathologic predictors of Gleason sum upgrading in patients after radical prostatectomy: results from a single institution series.

Authors:  Derya Tilki; Boris Schlenker; Majnu John; Alexander Buchner; Peter Stanislaus; Christian Gratzke; Alexander Karl; Gerald Y Tan; Süleyman Ergün; Ashutosh K Tewari; Christian G Stief; Michael Seitz; Oliver Reich
Journal:  Urol Oncol       Date:  2009-10-17       Impact factor: 3.498

6.  A nomogram to predict seminal vesicle invasion by the extent and location of cancer in systematic biopsy results.

Authors:  Hideshige Koh; Michael W Kattan; Peter T Scardino; Kazuho Suyama; Norio Maru; Kevin Slawin; Thomas M Wheeler; Makoto Ohori
Journal:  J Urol       Date:  2003-10       Impact factor: 7.450

7.  Predictive value of PCA3 in urinary sediments in determining clinico-pathological characteristics of prostate cancer.

Authors:  Daphne Hessels; Martijn P M Q van Gils; Onno van Hooij; Sander A Jannink; J Alfred Witjes; Gerald W Verhaegh; Jack A Schalken
Journal:  Prostate       Date:  2010-01-01       Impact factor: 4.104

8.  An updated prostate cancer staging nomogram (Partin tables) based on cases from 2006 to 2011.

Authors:  John B Eifler; Zhaoyang Feng; Brian M Lin; Michael T Partin; Elizabeth B Humphreys; Misop Han; Jonathan I Epstein; Patrick C Walsh; Bruce J Trock; Alan W Partin
Journal:  BJU Int       Date:  2012-07-26       Impact factor: 5.588

9.  Current technique of open intrafascial nerve-sparing retropubic prostatectomy.

Authors:  Lars Budäus; Hendrik Isbarn; Thorsten Schlomm; Hans Heinzer; Alexander Haese; Thomas Steuber; Georg Salomon; Hartwig Huland; Markus Graefen
Journal:  Eur Urol       Date:  2009-05-29       Impact factor: 20.096

10.  A 17-gene assay to predict prostate cancer aggressiveness in the context of Gleason grade heterogeneity, tumor multifocality, and biopsy undersampling.

Authors:  Eric A Klein; Matthew R Cooperberg; Cristina Magi-Galluzzi; Jeffry P Simko; Sara M Falzarano; Tara Maddala; June M Chan; Jianbo Li; Janet E Cowan; Athanasios C Tsiatis; Diana B Cherbavaz; Robert J Pelham; Imelda Tenggara-Hunter; Frederick L Baehner; Dejan Knezevic; Phillip G Febbo; Steven Shak; Michael W Kattan; Mark Lee; Peter R Carroll
Journal:  Eur Urol       Date:  2014-05-16       Impact factor: 20.096

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  5 in total

1.  Development of novel nomograms to predict renal functional outcomes after laparoscopic adrenalectomy in patients with primary aldosteronism.

Authors:  Takanobu Utsumi; Naoto Kamiya; Mayuko Kaga; Takumi Endo; Masashi Yano; Shuichi Kamijima; Koji Kawamura; Takashi Imamoto; Tomohiko Ichikawa; Hiroyoshi Suzuki
Journal:  World J Urol       Date:  2017-04-11       Impact factor: 4.226

2.  Predicting medication nonadherence risk in the Chinese type 2 diabetes mellitus population - establishment of a new risk nomogram model: a retrospective study.

Authors:  Fa-Cai Wang; Wei Chang; Song-Liu Nie; Bing-Xiang Shen; Chun-Yuan He; Wei-Chen Zhao; Xiao-Yan Liu; Jing-Tao Lu
Journal:  J Int Med Res       Date:  2021-09       Impact factor: 1.671

3.  Prediction of Pathologic Findings with MRI-Based Clinical Staging Using the Bayesian Network Modeling in Prostate Cancer: A Radiation Oncologist Perspective.

Authors:  Chan Woo Wee; Bum-Sup Jang; Jin Ho Kim; Chang Wook Jeong; Cheol Kwak; Hyun Hoe Kim; Ja Hyeon Ku; Seung Hyup Kim; Jeong Yeon Cho; Sang Youn Kim
Journal:  Cancer Res Treat       Date:  2021-05-17       Impact factor: 4.679

4.  Analysis of risk factors for Gleason score upgrading after radical prostatectomy in a Chinese cohort.

Authors:  Baoling Zhang; Shangrong Wu; Yang Zhang; Mingyu Guo; Ranlu Liu
Journal:  Cancer Med       Date:  2021-09-16       Impact factor: 4.452

5.  Development of a nomogram predicting the probability of stone free rate in patients with ureteral stones eligible for semi-rigid primary laser uretero-litothripsy.

Authors:  Cosimo De Nunzio; Jamil Ghahhari; Riccardo Lombardo; Giorgio Ivan Russo; Ana Albano; Antonio Franco; Valeria Baldassarri; Antonio Nacchia; Juan Lopez; Pilar Luque; Maria Jose Ribal; Antonio Alcaraz; Andrea Tubaro
Journal:  World J Urol       Date:  2021-06-26       Impact factor: 4.226

  5 in total

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