Second-line treatment for metastatic clear cell renal cell cancer: experts' consensus algorithms. Academic Article uri icon

Overview

abstract

  • BACKGROUND: Second-line systemic treatment options for metastatic clear cell renal cell cancer (mccRCC) are diverse and treatment strategies are variable among experts. Our aim was to investigate the approach for the second-line treatment after first-line therapy with a tyrosine kinase inhibitor (TKI). Recently two phase III trials have demonstrated a potential role for nivolumab (NIV) and cabozantinib (CAB) in this setting. We aimed to estimate the impact of these trials on clinical decision making. MATERIALS AND METHODS: Eleven international experts were asked to provide their treatment strategies for second-line systemic therapy for mccRCC in the current setting and once NIV and CAB will be approved and available. The treatment strategies were analyzed with the objective consensus approach. RESULTS: The analysis of the decision trees revealed everolimus (EVE), axitinib (AXI), NIV and TKI switch (sTKI) as therapeutic options after first-line TKI therapy in the current situation and mostly NIV and CAB in the future setting. The most commonly used criteria for treatment decisions were duration of response, TKI tolerance and zugzwang a composite of several related criteria. CONCLUSION: In contrast to the first-line setting, recommendations for second-line systemic treatment of mccRCC among experts were not as heterogeneous. The agents mostly used after disease progression on a first-line TKI included: EVE, AXI, NIV and sTKI. In the future setting of NIV and CAB availability, NIV was the most commonly chosen drug, whereas several experts identified situations where CAB would be preferred.

publication date

  • August 3, 2016

Research

keywords

  • Algorithms
  • Antineoplastic Agents
  • Carcinoma, Renal Cell
  • Decision Support Techniques
  • Kidney Neoplasms
  • Protein Kinase Inhibitors

Identity

Scopus Document Identifier

  • 84982860585

Digital Object Identifier (DOI)

  • 10.1007/s00345-016-1903-6

PubMed ID

  • 27488984

Additional Document Info

volume

  • 35

issue

  • 4