Multi-Center Assessment of Lymph-Node Density and Nodal-Stage to Predict Disease-Specific Survival in Patients with Bladder Cancer Treated by Radical Cystectomy

Author:

van Gennep Erik J.12,Claps Francesco123,Bostrom Peter J.45,Shariat Shahrokh F.678910,Neuzillet Yann11112,Zlotta Alexandre R.4,Trombetta Carlo3,Eckstein Markus13,Mertens Laura S.1,Bussani Rossana14,Burger Maximilian15,Boormans Joost L.16,Wullich Bernd17,Hartmann Arndt13,Mayr Roman15,Pavan Nicola3,Bartoletti Riccardo18,Mir M. Carmen19,Pouessel Damien1120,van der Hoeven John21,van der Kwast Theo H.22,Allory Yves1123,Zuiverloon Tahlita C.M.16,Lotan Yair6,van Rhijn Bas W.G.1415

Affiliation:

1. Department of Surgical Oncology (Urology), Netherlands Cancer Institute – Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands

2. Department of Urology, Leiden University Medical Center, Leiden, The Netherlands

3. Department of Medicine, Surgery and Health Sciences, Urological Clinic, University of Trieste, Trieste, Italy

4. Department of Surgery (Urology) and Surgical Oncology, University Health Network, Princess Margaret Cancer Center, University of Toronto, Toronto, ON, Canada

5. Department of Urology, Turku University Hospital and University of Turku, Turku, Finland

6. Department of Urology, University of Texas Southwestern Medical Center, Dallas, TX, USA

7. Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria

8. Department of Urology, Weill Cornell Medical College, New York, NY, USA

9. Department of Urology, Second Faculty of Medicine, Charles University, Prague, Czech Republic

10. Institute for Urology and Reproductive Health, I.M. Sechenov First Moscow State Medical University, Moscow, Russia

11. Molecular Oncology Team, Institut Curie, CNRS, UMR144, PSL Research University, Paris, France

12. Department of Urology, Hôpital Foch, UVSQ-Paris-Saclay University, Suresnes, France

13. Institute of Pathology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany

14. Department of Pathology, University of Trieste, Trieste, Italy

15. Department of Urology, Caritas St Josef Medical Center, University of Regensburg, Regensburg, Germany

16. Department of Urology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands

17. Department of Urology and Pediatric Urology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany

18. Department of Translational Research and New Technologies, Unit of Urology, University of Pisa, Pisa, Italy

19. Department of Urology, Hospital Universitario La Ribera, Valencia, Spain

20. Department of Medical Oncology, Claudius Regaud Institute, Toulouse University Cancer Center (IUCT) Oncopole, Toulouse, France

21. Department of Urology, Reinier de Graaf Hospital, Delft, The Netherlands

22. Department of Pathology, University Health Network, Princess Margaret Cancer Center, University of Toronto, Toronto, ON, Canada

23. Department of Pathology, Institut Curie, Paris, France

Abstract

BACKGROUND: Prognostic tools in pathological-node (pN) patients after radical cystectomy (RC) are needed. OBJECTIVES: To evaluate the prognostic impact of lymph node (LN)-density on disease-specific survival (DSS) in patients with bladder cancer (BC) undergoing RC with pelvic lymph node dissection. METHODS: We analyzed a multi-institutional cohort of 1169 patients treated with upfront RC for cT1-4aN0M0 urothelial BCat nine centers. LN-densitywas calculated as the ratio of the number of positive LNs×100% to the number of LNs removed. The optimal LN-density cut-off value was defined by creating a time-dependent receiver operating characteristic (ROC) curve in pN patients. Univariable and multivariable Cox’ regression analyses were used to assess the effect of conventional Tumor Nodes Metastasis (TNM) nodal staging system, LN-density and other LN-related variables on DSS in the pN-positive cohort. RESULTS: Of the 1169 patients, 463 (39.6%) patients had LN-involvement. The area under the ROC curve was 0.60 and the cut-off for LN-density was set at 20%, 223 of the pN-positive patients (48.2%) had a LN-density ≥ 20%. In multivariable models, the number of LN-metastases (HR 1.03, p = 0.005) and LN-density, either as continuous (HR 1.01, p = 0.013) or as categorical variable (HR 1.37, p = 0.014), were independently associated with worse DSS, whereas pN-stage was not. CONCLUSIONS: LN-density ≥ 20% was an independent predictor of worse DSS in BC patients with LN-involvement at RC. The integration of LN-density and other LN-parameters rather than only conventional pN-stage may contribute to a more refined risk-stratification in BC patients with nodal involvement.

Publisher

IOS Press

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