The Journal of Urology
Volume 184, Issue 2 , Pages 453-458, August 2010

Preoperative Multivariable Prognostic Model for Prediction of Nonorgan Confined Urothelial Carcinoma of the Upper Urinary Tract

  • Vitaly Margulis

      Affiliations

    • UT Southwestern Medical Center, Dallas, Texas
    • Corresponding Author InformationCorrespondence: Department of Urology, University of Texas Southwestern Medical Center at Dallas, 5323 Harry Hines Blvd., Dallas, Texas 75390-9110
    • Equal study contribution.
    • Nothing to disclose.
  • ,
  • Ramy F. Youssef

      Affiliations

    • UT Southwestern Medical Center, Dallas, Texas
    • Equal study contribution.
    • Nothing to disclose.
  • ,
  • Pierre I. Karakiewicz

      Affiliations

    • University of Montreal, Montreal, Quebec, Canada
    • Nothing to disclose.
  • ,
  • Yair Lotan

      Affiliations

    • UT Southwestern Medical Center, Dallas, Texas
    • Financial interest and/or other relationship with Inverness, Abbott and Matritech.
  • ,
  • Christopher G. Wood

      Affiliations

    • UT M.D. Anderson Cancer Center, Houston, Texas
    • Financial interest and/or other relationship with Antigenics Inc., Kidney Cancer Association, Amgen and Pfizer Speaker's Bureau.
  • ,
  • Richard Zigeuner

      Affiliations

    • University of Graz, Graz, Austria
    • Financial interest and/or other relationship with Inverness, Abbott and Matritech.
  • ,
  • Eiji Kikuchi

      Affiliations

    • Keio University School of Medicine, Tokyo, Japan
    • Nothing to disclose.
  • ,
  • Alon Weizer

      Affiliations

    • University of Michigan, Ann Arbor, Michigan
    • Nothing to disclose.
  • ,
  • Jay D. Raman

      Affiliations

    • Cornell University, New York, New York
    • Nothing to disclose.
  • ,
  • Mesut Remzi

      Affiliations

    • Medical University of Vienna, Vienna, Austria
    • Nothing to disclose.
  • ,
  • Marco Roscigno

      Affiliations

    • Vita-Salute University, Milan, Italy
    • Equal study contribution.
  • ,
  • Francesco Montorsi

      Affiliations

    • Vita-Salute University, Milan, Italy
    • Nothing to disclose.
  • ,
  • Christian Bolenz

      Affiliations

    • Universitätsklinikum Mannheim, Mannheim, Germany
    • Nothing to disclose.
  • ,
  • Wassim Kassouf

      Affiliations

    • McGill University, Montreal, Quebec, Canada
    • Nothing to disclose.
  • ,
  • Shahrokh F. Shariat

      Affiliations

    • UT Southwestern Medical Center, Dallas, Texas
    • Nothing to disclose.
  • ,
  • Upper Tract Urothelial Carcinoma Collaborative Group

Received 26 October 2009 published online 17 June 2010.

Purpose

We created a prognostic tool for the accurate preoperative prediction of nonorgan confined upper tract urothelial carcinoma.

Materials and Methods

A computerized data bank containing comprehensive information on 1,453 patients who underwent radical nephroureterectomy at 13 academic institutions was generated and continuously updated. This study comprised a subset of 659 patients in whom all appropriate preoperative prognostic variables (age, gender, race, symptoms, Eastern Cooperative Oncology Group performance status, primary tumor location, tumor architecture, tumor grade and history of previous bladder cancer) were available for statistical analysis. A multivariable logistic regression model containing relevant clinicopathological variables addressed the prediction of nonorgan confined stage disease (T3-4 and/or N+) at radical nephroureterectomy. A backward step-down selection process was applied to achieve the most informative and parsimonious model. Internal validation was performed using 200 bootstrap resamples.

Results

Pathological nonorgan confined urothelial carcinoma was found in 40% of patients. Grade, architecture and location of the tumor were independently associated with nonorgan confined disease. A nomogram including these 3 variables achieved 76.6% accuracy in predicting nonorgan confined upper tract urothelial cancer.

Conclusions

We developed a simple and accurate prognostic tool for the prediction of locally advanced upper tract urothelial cancer. This preoperative prediction model can be used for designing clinical trials, selecting patients for preoperative systemic therapy and guiding the extent of concomitant lymph node dissection at nephroureterectomy.

Key Words: carcinoma, transitional cell, surgical procedures, operative, kidney, ureter, prognosis

Abbreviations and Acronyms: CSS, cancer specific survival, ECOG PS, Eastern Cooperative Oncology Group performance status, LND, lymph node dissection, N+, node positive, NOC, nonorgan confined, NU, nephroureterectomy, RNU, radical nephroureterectomy, UC, urothelial cancer, UTUC, upper tract urothelial cancer

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 Study received institutional review board approval.

 Editor's Note: This article is the second of 5 published in this issue for which category 1 CME credits can be earned. Instructions for obtaining credits are given with the questions on pages 810 and 811.

PII: S0022-5347(10)03270-2

doi:10.1016/j.juro.2010.03.142

The Journal of Urology
Volume 184, Issue 2 , Pages 453-458, August 2010