Literature DB >> 29463434

Molecular Subtypes of Clear-cell Renal Cell Carcinoma are Prognostic for Outcome After Complete Metastasectomy.

Annelies Verbiest1, Gabrielle Couchy2, Sylvie Job3, Laure Caruana2, Evelyne Lerut4, Raymond Oyen5, Aurélien de Reyniès3, Lorenzo Tosco6, Steven Joniau7, Hendrik Van Poppel7, Dirk Van Raemdonck8, Kathleen Van Den Eynde4, Agnieszka Wozniak1, Jessica Zucman-Rossi2, Benoit Beuselinck9.   

Abstract

BACKGROUND: Metastasectomy is routinely performed in selected patients with metastatic clear-cell renal cell carcinoma (ccRCC) as an alternative to systemic therapy. In the absence of randomized trials, the benefit and best way of patient selection remain unclear. Earlier, we described four molecular ccRCC-subtypes (ccrcc1-4) that have a prognostic and predictive value upon first-line sunitinib or pazopanib.
OBJECTIVE: Assess the prognostic value of ccrcc1-4 subtypes after complete metastasectomy. (1) Compare outcomes of good-prognosis ccrccc2&amp;3-tumors with intermediate/poor-prognosis ccrcc1&amp;4-tumors. (2) Compare outcomes of the four subtypes separately. DESIGN, SETTING, AND PARTICIPANTS: Single-center retrospective study (1995-2017), assessing 43 ccRCC patients undergoing complete metastasectomy without systemic treatment. INTERVENTION: Molecular subtype determined with established 35-gene expression classifier. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Median disease-free survival (DFS), time to systemic therapy, cancer-specific (CSS) and overall survival (OS) from metastasectomy, estimated with Kaplan-Meier method and tested against other predictors with multivariable Cox regression. RESULTS AND LIMITATIONS: Median DFS was 23 mo for ccrcc2&amp;3-tumors versus 9 mo for ccrcc1&amp;4-tumors (p=0.011, hazard ratio [HR]=2.6). Median time to systemic therapy was 92 mo versus 28 mo (p=0.003, HR=3.3). Median CSS was 133 mo versus 50 mo (p<0.001, HR=2.7). Median OS was 127 mo versus 50 mo (p=0.011, HR=2.5). The classification remained independent upon multivariable analysis. Outcomes remained significantly different when comparing four subtypes separately. The intrinsic heterogeneity of expression profiles is a limitation of this approach.
CONCLUSION: Even after clinical patient selection, patients with a ccrcc1- or ccrcc4-tumor are at a higher risk of relapse after complete metastasectomy. Patients with a ccrcc2- or ccrcc3-tumor usually experience a long DFS. These results need validation in a larger cohort to establish the subtypes as prognostic marker. PATIENT
SUMMARY: Metastasectomy is recommended for some patients with metastatic clear-cell kidney cancer; however, we do not know who will benefit the most. We show that molecular subtypes increase the possibility to predict which patients are at risk for early relapse after metastasectomy and who may benefit more from other treatment options.
Copyright © 2018 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarker; Clear-cell renal cell carcinoma; Gene expression profile; Metastasectomy; Metastatic; Molecular subtypes; Prognosis

Mesh:

Year:  2018        PMID: 29463434     DOI: 10.1016/j.eururo.2018.01.042

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  19 in total

Review 1.  Kidney cancer: ccrcc1-4 classification for prediction of relapse.

Authors:  Rebecca Kelsey
Journal:  Nat Rev Urol       Date:  2018-03-06       Impact factor: 14.432

2.  Surgical metastasectomy for renal cell carcinoma: which patients are the real candidates for surgery?

Authors:  Satoshi Kato; Satoru Demura; Hideki Murakami; Hiroyuki Tsuchiya
Journal:  Ann Transl Med       Date:  2019-12

3.  Stereotactic body radiotherapy for oligometastatic renal cell carcinoma-are we ready to roll?

Authors:  Christian C Okoye; Ravi B Patel; Shankar Siva; Alexander V Louie; Simon S Lo
Journal:  Ann Transl Med       Date:  2019-09

4.  MicroRNA‑21 contributes to renal cell carcinoma cell invasiveness and angiogenesis via the PDCD4/c‑Jun (AP‑1) signalling pathway.

Authors:  Bo Fan; Yiying Jin; Hongshuo Zhang; Rui Zhao; Man Sun; Mengfan Sun; Xiaoying Yuan; Wei Wang; Xiaogang Wang; Zhiqi Chen; Wankai Liu; Na Yu; Qun Wang; Tingjiao Liu; Xiancheng Li
Journal:  Int J Oncol       Date:  2019-12-02       Impact factor: 5.650

Review 5.  Tumor Microenvironment Dynamics in Clear-Cell Renal Cell Carcinoma.

Authors:  Lynda Vuong; Ritesh R Kotecha; Martin H Voss; A Ari Hakimi
Journal:  Cancer Discov       Date:  2019-09-16       Impact factor: 39.397

Review 6.  Anti-angiogenesis and Immunotherapy: Novel Paradigms to Envision Tailored Approaches in Renal Cell-Carcinoma.

Authors:  Antonella Argentiero; Antonio Giovanni Solimando; Markus Krebs; Patrizia Leone; Nicola Susca; Oronzo Brunetti; Vito Racanelli; Angelo Vacca; Nicola Silvestris
Journal:  J Clin Med       Date:  2020-05-24       Impact factor: 4.241

7.  miR-22 Regulates Invasion, Gene Expression and Predicts Overall Survival in Patients with Clear Cell Renal Cell Carcinoma.

Authors:  Xue Gong; Hongjuan Zhao; Matthias Saar; Donna M Peehl; James D Brooks
Journal:  Kidney Cancer       Date:  2019-08-07

8.  Complete metastasectomy in renal cell carcinoma: a propensity-score matched by the International Metastatic RCC Database Consortium prognostic model.

Authors:  Aline F Fares; Daniel V Araujo; Vinicius Calsavara; Augusto Obuti Saito; Maria Nirvana Formiga; Aldo A Dettino; Stenio Zequi; Walter H da Costa; Isabela W Cunha
Journal:  Ecancermedicalscience       Date:  2019-10-14

9.  6-Gingerol induces cell-cycle G1-phase arrest through AKT-GSK 3β-cyclin D1 pathway in renal-cell carcinoma.

Authors:  Shan Xu; Haibao Zhang; Tianjie Liu; Wenjie Yang; Wei Lv; Dalin He; Peng Guo; Lei Li
Journal:  Cancer Chemother Pharmacol       Date:  2019-12-12       Impact factor: 3.333

10.  Development and verification of a nomogram for prediction of recurrence-free survival in clear cell renal cell carcinoma.

Authors:  Yuanlei Chen; Shangjun Jiang; Zeyi Lu; Dingwei Xue; Liqun Xia; Jieyang Lu; Huan Wang; Liwei Xu; Liyang Li; Gonghui Li
Journal:  J Cell Mol Med       Date:  2019-11-29       Impact factor: 5.310

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