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Multi-Center Assessment of Lymph-Node Density and Nodal-Stage to Predict Disease-Specific Survival in Patients with Bladder Cancer Treated by Radical Cystectomy
EJ. van Gennep, F. Claps, PJ. Bostrom, SF. Shariat, Y. Neuzillet, AR. Zlotta, C. Trombetta, M. Eckstein, LS. Mertens, R. Bussani, M. Burger, JL. Boormans, B. Wullich, A. Hartmann, R. Mayr, N. Pavan, R. Bartoletti, MC. Mir, D. Pouessel, J. van der...
Status neindexováno Jazyk angličtina Země Nizozemsko
Typ dokumentu časopisecké články
NLK
Directory of Open Access Journals
od 2023
PubMed Central
od 2021
ROAD: Directory of Open Access Scholarly Resources
od 2015
PubMed
39131875
DOI
10.3233/blc-230086
Knihovny.cz E-zdroje
- Publikační typ
- časopisecké články MeSH
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.
Department of Pathology Institut Curie Paris France
Department of Pathology University of Trieste Trieste Italy
Department of Urology 2nd Faculty of Medicine Charles University Prague Czech Republic
Department of Urology Caritas St Josef Medical Center University of Regensburg Regensburg Germany
Department of Urology Comprehensive Cancer Center Medical University of Vienna Vienna Austria
Department of Urology Hôpital Foch UVSQ Paris Saclay University Suresnes France
Department of Urology Hospital Universitario La Ribera Valencia Spain
Department of Urology Leiden University Medical Center Leiden The Netherlands
Department of Urology Reinier de Graaf Hospital Delft The Netherlands
Department of Urology Turku University Hospital and University of Turku Turku Finland
Department of Urology University of Texas Southwestern Medical Center Dallas TX USA
Department of Urology Weill Cornell Medical College New York NY USA
Molecular Oncology Team Institut Curie CNRS UMR144 PSL Research University Paris France
Citace poskytuje Crossref.org
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- $a 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.
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