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A Syngeneic Mouse Model of Metastatic Renal Cell Carcinoma for Quantitative and Longitudinal Assessment of Preclinical Therapies
Published on: April 12, 2017
Second-line treatment in renal cell carcinoma: clinical experience and decision making
Valentina Guadalupi1, Giacomo Cartenì2, Roberto Iacovelli3
1Istituto Nazionale dei Tumori IRCCS Milano, Milano, Lombardia 20133, Italy.
Abstract:
Currently, conventional treatments for metastatic RCC (mRCC) include immune-based combination regimens and/or targeted therapies, the latter mainly acting on angiogenesis, a key element of the process of tumor growth and spread. Although these agents proved able to improve patients' outcomes, drug resistance and disease progression are still experienced by a substantial number of VEGFR-TKIs-treated mRCC patients. Following the inhibition of the VEGF/VEGFRs axis, two strategies have emerged: either specifically targeting resistance pathways, at the same time continuing to inhibit angiogenesis, or using a completely different approach aimed at re-activating the immune system through the use of inhibitors of specific negative immune checkpoints. These two approaches, practically represented by the use of either cabozantinib or nivolumab, seem to remain a rational therapeutic approach also when first-line immune-based combinations are used. The objective of this study is to design a preferential therapeutic pathway for the second-line treatment of mRCC. The procedure applied in this project was a group discussion, based on the Nominal Group Technique (NGT) method in a meeting session, aimed at defining the therapeutic choice for the second-line treatment of mRCC. The NGT process defined the most relevant parameters that, according to the interviewed panelists, clinicians should consider for the selection of the second-line therapy in the context of advanced renal cell carcinoma of mRCC. The algorithm developed for the treatment selection as a result of this process should thus be considered by clinicians as reference for therapy selection.
Plain Language Summary:
The result of this paper was the definition of an algorithm intended to suggest a preferential therapeutic pathway considering both the outputs of the Nominal Group Technique (NGT) process and the actual clinical practice and the experience of selected panelists. During the NGT process and the discussion phase, panelists defined the most important parameters to be included in the algorithm that are important for the treatment definition. Cabozantinib and nivolumab are identified as the most reasonable therapeutic options for patients progressing after first-line treatment and are the medication options included in the algorithm for therapy selection.
Insights
This study developed an algorithm to guide second-line treatment for metastatic renal cell carcinoma (mRCC) patients who progress after initial therapy. Cabozantinib and nivolumab are recommended as preferred options based on expert consensus.
Area of Science:
- Oncology
- Medical Treatment Strategies
- Renal Cell Carcinoma Research
Background:
- Conventional treatments for metastatic renal cell carcinoma (mRCC) involve immune-based regimens and targeted therapies, primarily inhibiting angiogenesis.
- Despite improvements, resistance and progression remain significant challenges for patients treated with vascular endothelial growth factor receptor tyrosine kinase inhibitors (VEGFR-TKIs).
- Emerging strategies focus on targeting resistance pathways or re-activating the immune system via immune checkpoint inhibitors.
Purpose of the Study:
- To design a preferential therapeutic pathway for the second-line treatment of mRCC.
- To establish a clinical algorithm for selecting second-line therapy in advanced renal cell carcinoma.
- To provide clinicians with a reference for optimal treatment choices after first-line therapy failure.
Main Methods:
- A group discussion utilizing the Nominal Group Technique (NGT) method was employed.
- Expert panelists convened to define key parameters for second-line mRCC treatment selection.
- An algorithm was developed based on the NGT outcomes and clinical expertise.
Main Results:
- The NGT process identified crucial parameters for guiding second-line therapy selection in mRCC.
- Cabozantinib and nivolumab were identified as the most reasonable therapeutic options for patients progressing after first-line treatment.
- These agents are incorporated into the developed algorithm for treatment selection.
Conclusions:
- An algorithm was defined to suggest a preferential therapeutic pathway for second-line mRCC treatment.
- The algorithm integrates NGT findings, clinical practice, and expert experience.
- Cabozantinib and nivolumab represent key medication options within the algorithm for patients requiring second-line therapy.
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