Literature DB >> 18008359

Multiple biomarkers improve prediction of bladder cancer recurrence and mortality in patients undergoing cystectomy.

Shahrokh F Shariat1, Pierre I Karakiewicz, Raheela Ashfaq, Seth P Lerner, Ganesh S Palapattu, Richard J Cote, Arthur I Sagalowsky, Yair Lotan.   

Abstract

BACKGROUND: Tested was whether the assessment of 5 established bladder cancer biomarkers (p53, pRB, p21, p27, and cyclin E1) could improve the ability to predict disease recurrence and cancer-specific survival after radical cystectomy in patients with pTa-3N0M0 urothelial carcinoma of the bladder (UCB).
METHODS: The study comprised 191 patients with pTa-3N0M0 UCB treated with radical cystectomy and bilateral lymphadenectomy (median follow-up, 3.1 years). Biomarker expression was assayed on serial tissue microarray slides using quantitative immunohistochemistry using advanced cell imaging and color detection software. Predictive accuracy was quantified using the concordance index and 200-bootstrap resamples were used to reduce overfit bias. Bootstrap-adjusted predictive accuracy estimates were compared using the Mantel-Haenszel test.
RESULTS: UCB recurred in 36 (18.8%) patients and 30 (15.7%) died of bladder cancer; 157 (82.2%) patients had altered expression of at least 1 biomarker. In univariate analyses the number of altered biomarkers had the highest predictive accuracy for both disease recurrence (76.8%, P< .001) and cancer-specific mortality (78.3%, P< .001). Addition of the number of altered biomarkers increased the predictive accuracy of nomograms based on the TNM staging system for disease recurrence and cancer-specific mortality by 10.9% (83.4% vs 72.5%, P< .001) and 8.6% (86.9% vs 78.3, P< .001), respectively.
CONCLUSIONS: Assessment of the number of altered biomarkers in the cystectomy specimen improves the prediction of bladder cancer recurrence and survival in patients with pTa-3N0M0 disease. Prospective evaluation of alteration in these biomarkers can help identify patients who would benefit from adjuvant treatment after radical cystectomy.

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Year:  2008        PMID: 18008359     DOI: 10.1002/cncr.23162

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  49 in total

Review 1.  Biomolecular predictors of urothelial cancer behavior and treatment outcomes.

Authors:  Michael Rink; Eugene K Cha; David Green; Jens Hansen; Brian D Robinson; Yair Lotan; Arthur I Sagalowsky; Felix K Chun; Pierre I Karakiewicz; Margit Fisch; Douglas S Scherr; Shahrokh F Shariat
Journal:  Curr Urol Rep       Date:  2012-04       Impact factor: 3.092

2.  Bladder cancer: nomogram aids clinical decision making after radical cystectomy.

Authors:  Shahrokh F Shariat; Derya Tilki
Journal:  Nat Rev Urol       Date:  2010-04       Impact factor: 14.432

3.  Identification of genes correlated with early-stage bladder cancer progression.

Authors:  Randolph Stone; Anita L Sabichi; Jennifer Gill; I-Ling Lee; Patrick Adegboyega; Michael S Dai; Raja Loganantharaj; Marjan Trutschl; Urska Cvek; John L Clifford
Journal:  Cancer Prev Res (Phila)       Date:  2010-05-25

4.  Use of nomograms for predictions of outcome in patients with advanced bladder cancer.

Authors:  Shahrokh F Shariat; Pierre I Karakiewicz; Guilherme Godoy; Seth P Lerner
Journal:  Ther Adv Urol       Date:  2009-04

Review 5.  Prognostic factors for upper urinary tract urothelial carcinoma.

Authors:  Thomas F Chromecki; Karim Bensalah; Mesut Remzi; Grégory Verhoest; Eugene K Cha; Douglas S Scherr; Giacomo Novara; Pierre I Karakiewicz; Shahrokh F Shariat
Journal:  Nat Rev Urol       Date:  2011-07-05       Impact factor: 14.432

6.  Quantitation of rare circulating tumor cells by folate receptor α ligand-targeted PCR in bladder transitional cell carcinoma and its potential diagnostic significance.

Authors:  Fuming Qi; Yuchen Liu; Rongchang Zhao; Xiangjun Zou; Lei Zhang; Jiaqiang Li; Yongqiang Wang; Feiyang Li; Xiaowen Zou; Ye Xia; Xuliang Wang; Li Xing; Cailing Li; Jingxiao Lu; Junlong Tang; Fangjian Zhou; Chunxiao Liu; Yaoting Gui; Zhiming Cai; Xiaojuan Sun
Journal:  Tumour Biol       Date:  2014-04-27

7.  Personalized medicine in advanced urothelial cancer: when to treat, how to treat and who to treat.

Authors:  Behfar Ehdaie; Steven C Smith; Dan Theodorescu
Journal:  Can Urol Assoc J       Date:  2009-12       Impact factor: 1.862

Review 8.  Combining a molecular profile with a clinical and pathological profile: biostatistical considerations.

Authors:  Richard J Sylvester
Journal:  Scand J Urol Nephrol Suppl       Date:  2008-09

Review 9.  A systematic review of the tools available for predicting survival and managing patients with urothelial carcinomas of the bladder and of the upper tract in a curative setting.

Authors:  Sarah J Drouin; David R Yates; Vincent Hupertan; Olivier Cussenot; Morgan Rouprêt
Journal:  World J Urol       Date:  2012-12-18       Impact factor: 4.226

10.  Comparison of global versus epidermal growth factor receptor pathway profiling for prediction of lapatinib sensitivity in bladder cancer.

Authors:  Dmytro M Havaleshko; Steven Christopher Smith; HyungJun Cho; Sooyoung Cheon; Charles R Owens; Jae K Lee; Lance A Liotta; Virginia Espina; Julia D Wulfkuhle; Emanuel F Petricoin; Dan Theodorescu
Journal:  Neoplasia       Date:  2009-11       Impact factor: 5.715

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