Literature DB >> 29022072

Effect of pathological high-risk features on cancer-specific mortality in non-metastatic clear cell renal cell carcinoma: a tool for optimizing patient selection for adjuvant therapy.

Marco Bandini1,2,3, Ariane Smith4, Emanuele Zaffuto5,6,4, Raisa S Pompe4,7, Michele Marchioni4,8, Umberto Capitanio5,6, Felix K Chun7, Anil B Kapoor9, Shahrokh F Shariat10, Francesco Montorsi5,6, Alberto Briganti5,6, Pierre I Karakiewicz4.   

Abstract

PURPOSE: Adjuvant therapies for non-metastatic renal cell carcinoma (nmRCC) are being tested to improve outcomes in patients with high-risk (hR) nmRCC. The objective of the current study is to test the ability of three hR features to identify patients who are at the highest risk of cancer-specific mortality (CSM) after partial or radical nephrectomy.
METHODS: Within the Surveillance Epidemiology and End Results (SEER) database (1988-2013), we identified 23,632 nm "clear cell" RCC partial or radical nephrectomy patients with hR features: Fuhrman grade (FG) 3 or 4 or pathological classifications T3a or T3b or lymph node invasion (LNI), or combination of these. Kaplan-Meier analyses (KM) and multivariable Cox's regression models (CRM) evaluated the effect of hR features on CSM.
RESULTS: Overall 11,568 (48.9%) patients harbored FG3-4, 5575 (23.6%) pT3a/b, 140 (0.6%) LNI, 5366 (22.7%) FG3-4 and pT3a/b, 183 (0.8%) LNI and pT3a/b, 203 (0.9%) LNI and FG3-4 and 597 (2.5%) LNI, FG3-4 and pT3a/b. Median CSM-free survival was 51, 58 and 22 months for LNI and pT3a/b, for LNI and FG3-4 and for LNI, FG3-4 and pT3a/b and was not reached for the other groups. These results remained unchanged in multivariable CRMs, where all hR features represented independent predictors.
CONCLUSIONS: Individuals with combination of LNI with FG3-4 or pT3a/b and patients with all three hR features are at highest risk of CSM. In consequence, these patients may represent ideal candidates for adjuvant therapy either in clinical practice or future prospective trials.

Entities:  

Keywords:  Adjuvant therapy; Clear cell; Kidney cancer; Non-metastatic renal cell carcinoma; Targeted molecular therapy

Mesh:

Year:  2017        PMID: 29022072     DOI: 10.1007/s00345-017-2093-6

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


  21 in total

1.  Dynamic outcome prediction in patients with clear cell renal cell carcinoma treated with radical nephrectomy: the D-SSIGN score.

Authors:  R Houston Thompson; Bradley C Leibovich; Christine M Lohse; John C Cheville; Horst Zincke; Michael L Blute; Igor Frank
Journal:  J Urol       Date:  2007-02       Impact factor: 7.450

Review 2.  Prognostic factors and predictive models in renal cell carcinoma: a contemporary review.

Authors:  Maxine Sun; Shahrokh F Shariat; Christopher Cheng; Vincenzo Ficarra; Masaru Murai; Stéphane Oudard; Allan J Pantuck; Richard Zigeuner; Pierre I Karakiewicz
Journal:  Eur Urol       Date:  2011-06-30       Impact factor: 20.096

3.  Nonparametric estimation of lifetime and disease onset distributions from incomplete observations.

Authors:  G E Dinse; S W Lagakos
Journal:  Biometrics       Date:  1982-12       Impact factor: 2.571

4.  Do we need new high-risk criteria for surgically treated renal cancer patients to improve the outcome of future clinical trials in the adjuvant setting? Results of a comprehensive analysis based on the multicenter CORONA database.

Authors:  I Wolff; M May; B Hoschke; R Zigeuner; L Cindolo; G Hutterer; L Schips; O De Cobelli; B Rocco; C De Nunzio; A Tubaro; I Coman; B Feciche; M Truss; O Dalpiaz; R S Figenshau; K Madison; M Sánchez-Chapado; M D C Santiago Martin; L Salzano; G Lotrecchiano; S F Shariat; M Hohenfellner; R Waidelich; C Stief; K Miller; S Pahernik; S Brookman-May
Journal:  Eur J Surg Oncol       Date:  2016-01-22       Impact factor: 4.424

5.  Adjuvant Sunitinib in High-Risk Renal-Cell Carcinoma after Nephrectomy.

Authors:  Alain Ravaud; Robert J Motzer; Hardev S Pandha; Daniel J George; Allan J Pantuck; Anup Patel; Yen-Hwa Chang; Bernard Escudier; Frede Donskov; Ahmed Magheli; Giacomo Carteni; Brigitte Laguerre; Piotr Tomczak; Jan Breza; Paola Gerletti; Mariajose Lechuga; Xun Lin; Jean-Francois Martini; Krishnan Ramaswamy; Michelle Casey; Michael Staehler; Jean-Jacques Patard
Journal:  N Engl J Med       Date:  2016-10-09       Impact factor: 91.245

6.  Stage-specific effect of nodal metastases on survival in patients with non-metastatic renal cell carcinoma.

Authors:  Umberto Capitanio; Claudio Jeldres; Jean-Jacques Patard; Paul Perrotte; Laurent Zini; Alexandre de La Taille; Vincenzo Ficarra; Luca Cindolo; Karim Bensalah; Walter Artibani; Jacques Tostain; Antoine Valeri; Richard Zigeuner; Arnaud Méjean; Jean Luc Descotes; Eric Lechevallier; Peter F Mulders; Herve Lang; Didier Jacqmin; Pierre I Karakiewicz
Journal:  BJU Int       Date:  2008-10-16       Impact factor: 5.588

7.  Randomized Phase III Trial of Adjuvant Pazopanib Versus Placebo After Nephrectomy in Patients With Localized or Locally Advanced Renal Cell Carcinoma.

Authors:  Robert J Motzer; Naomi B Haas; Frede Donskov; Marine Gross-Goupil; Sergei Varlamov; Evgeny Kopyltsov; Jae Lyun Lee; Bohuslav Melichar; Brian I Rini; Toni K Choueiri; Milada Zemanova; Lori A Wood; M Neil Reaume; Arnulf Stenzl; Simon Chowdhury; Ho Yeong Lim; Ray McDermott; Agnieszka Michael; Weichao Bao; Marlene J Carrasco-Alfonso; Paola Aimone; Maurizio Voi; Christian Doehn; Paul Russo; Cora N Sternberg
Journal:  J Clin Oncol       Date:  2017-09-13       Impact factor: 44.544

8.  A multifactorial postoperative surveillance model for patients with surgically treated clear cell renal cell carcinoma.

Authors:  Igor Frank; Michael L Blute; John C Cheville; Christine M Lohse; Amy L Weaver; Bradley C Leibovich; Horst Zincke
Journal:  J Urol       Date:  2003-12       Impact factor: 7.450

9.  Understanding Cox's regression model.

Authors:  R Gill
Journal:  Experientia Suppl       Date:  1982

10.  Adjuvant sunitinib or sorafenib for high-risk, non-metastatic renal-cell carcinoma (ECOG-ACRIN E2805): a double-blind, placebo-controlled, randomised, phase 3 trial.

Authors:  Naomi B Haas; Judith Manola; Robert G Uzzo; Keith T Flaherty; Christopher G Wood; Christopher Kane; Michael Jewett; Janice P Dutcher; Michael B Atkins; Michael Pins; George Wilding; David Cella; Lynne Wagner; Surena Matin; Timothy M Kuzel; Wade J Sexton; Yu-Ning Wong; Toni K Choueiri; Roberto Pili; Igor Puzanov; Manish Kohli; Walter Stadler; Michael Carducci; Robert Coomes; Robert S DiPaola
Journal:  Lancet       Date:  2016-03-09       Impact factor: 79.321

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  6 in total

1.  Kidney Cancer Research Network of Canada consensus statement on the role of adjuvant therapy after nephrectomy for high-risk, non-metastatic renal cell carcinoma: A comprehensive analysis of the literature and meta-analysis of randomized controlled trials.

Authors:  Pierre I Karakiewicz; Emanuele Zaffuto; Anil Kapoor; Naveen S Basappa; Georg A Bjarnason; Normand Blais; Rodney H Breau; Christina Canil; Darrel Drachenberg; Sebastien J Hotte; Claudio Jeldres; Michael A S Jewett; Wassim Kassouf; Christian Kollmannsberger; Luke T Lavallée; Ranjena Maloni; Francois Patenaude; Frédéric Pouliot; M Neil Reaume; Robert Sabbagh; Bobby Shayegan; Alan So; Denis Soulières; Simon Tanguay; Lori Wood; Marco Bandini
Journal:  Can Urol Assoc J       Date:  2018-06       Impact factor: 1.862

2.  How to optimize the use of adjuvant pembrolizumab in renal cell carcinoma: which patients benefit the most?

Authors:  Giuseppe Fallara; Alessandro Larcher; Giuseppe Rosiello; Daniele Raggi; Laura Marandino; Alberto Martini; Giuseppe Basile; Gianmarco Colandrea; Daniele Cignoli; Federico Belladelli; Chiara Re; Giacomo Musso; Francesco Cei; Roberto Bertini; Alberto Briganti; Andrea Salonia; Francesco Montorsi; Andrea Necchi; Umberto Capitanio
Journal:  World J Urol       Date:  2022-09-20       Impact factor: 3.661

3.  Validation of the GRade, Age, Nodes and Tumor (GRANT) score within the Surveillance Epidemiology and End Results (SEER) database: A new tool to predict survival in surgically treated renal cell carcinoma patients.

Authors:  Sebastiano Buti; Pierre I Karakiewicz; Melissa Bersanelli; Umberto Capitanio; Zhe Tian; Alessio Cortellini; Satoru Taguchi; Alberto Briganti; Francesco Montorsi; Francesco Leonardi; Marco Bandini
Journal:  Sci Rep       Date:  2019-09-13       Impact factor: 4.379

4.  Eupatilin Inhibits Renal Cancer Growth by Downregulating MicroRNA-21 through the Activation of YAP1.

Authors:  Weifeng Zhong; Zhiming Wu; Nanhui Chen; Kaihua Zhong; Yifeng Lin; Huiming Jiang; Pei Wan; Shanming Lu; Lawei Yang; Siping Liu
Journal:  Biomed Res Int       Date:  2019-04-24       Impact factor: 3.411

5.  Development and Validation of a Nomogram Predicting the Prognosis of Renal Cell Carcinoma After Nephrectomy.

Authors:  Mancheng Xia; Haosen Yang; Yusheng Wang; Keqiang Yin; Xiaodong Bian; Jiawei Chen; Weibing Shuang
Journal:  Cancer Manag Res       Date:  2020-06-11       Impact factor: 3.989

Review 6.  Potential benefit of lymph node dissection during radical nephrectomy for kidney cancer: A review and critical analysis of current literature.

Authors:  Michele Marchioni; Daniele Amparore; Igino Andrea Magli; Riccardo Bertolo; Umberto Carbonara; Selcuk Erdem; Alexandre Ingels; Constantijn H J Muselaers; Onder Kara; Marco Mascitti; Tobias Klatte; Maximilian Kriegmair; Nicola Pavan; Eduard Roussel; Angela Pecoraro; Laura Marandino; Riccardo Campi; Luigi Schips
Journal:  Asian J Urol       Date:  2022-05-27
  6 in total

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