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Exploratory Pilot Study of Circulating Biomarkers in Metastatic Renal Cell Carcinoma
Ilaria Grazia Zizzari1, Chiara Napoletano1, Alessandra Di Filippo1
1Laboratory of Tumor Immunology and Cell Therapy, Department of Experimental Medicine, Policlinico Umberto I, "Sapienza" University of Rome, 00161 Rome, Italy.
Abstract:
With the introduction of immune checkpoint inhibitors (ICIs) and next-generation vascular endothelial growth factor receptor-tyrosine kinase inhibitors (VEGFR-TKIs), the survival of patients with advanced renal cell carcinoma (RCC) has improved remarkably. However, not all patients have benefited from treatments, and to date, there are still no validated biomarkers that can be included in the therapeutic algorithm. Thus, the identification of predictive biomarkers is necessary to increase the number of responsive patients and to understand the underlying immunity. The clinical outcome of RCC patients is, in fact, associated with immune response. In this exploratory pilot study, we assessed the immune effect of TKI therapy in order to evaluate the immune status of metastatic renal cell carcinoma (mRCC) patients so that we could define a combination of immunological biomarkers relevant to improving patient outcomes. We profiled the circulating levels in 20 mRCC patients of exhausted/activated/regulatory T cell subsets through flow cytometry and of 14 immune checkpoint-related proteins and 20 inflammation cytokines/chemokines using multiplex Luminex assay, both at baseline and during TKI therapy. We identified the CD3+CD8+CD137+ and CD3+CD137+PD1+ T cell populations, as well as seven soluble immune molecules (i.e., IFNγ, sPDL2, sHVEM, sPD1, sGITR, sPDL1, and sCTLA4) associated with the clinical responses of mRCC patients, either modulated by TKI therapy or not. These results suggest an immunological profile of mRCC patients, which will help to improve clinical decision-making for RCC patients in terms of the best combination of strategies, as well as the optimal timing and therapeutic sequence.
Insights
Identifying immune biomarkers can improve treatment for advanced kidney cancer. This study found specific T cell subsets and soluble immune molecules linked to patient response to targeted therapy, aiding clinical decisions.
Area of Science:
- Oncology
- Immunology
- Biomarker Discovery
Background:
- Advanced renal cell carcinoma (RCC) treatment has improved with immune checkpoint inhibitors (ICIs) and vascular endothelial growth factor receptor-tyrosine kinase inhibitors (VEGFR-TKIs).
- However, predictive biomarkers for treatment response are lacking, necessitating research into underlying immune mechanisms.
- Clinical outcomes in RCC are linked to the patient's immune response.
Purpose of the Study:
- To assess the immune effects of TKI therapy in metastatic RCC (mRCC) patients.
- To identify immunological biomarkers associated with clinical response to therapy.
- To define an immunological profile for mRCC patients to guide treatment strategies.
Main Methods:
- Exploratory pilot study involving 20 mRCC patients.
- Flow cytometry used to profile T cell subsets (exhausted, activated, regulatory).
- Multiplex Luminex assay used to measure circulating immune checkpoint proteins and cytokines/chemokines at baseline and during TKI therapy.
Main Results:
- Identified specific T cell populations: CD3+CD8+CD137+ and CD3+CD137+PD1+.
- Found seven soluble immune molecules (IFNγ, sPDL2, sHVEM, sPD1, sGITR, sPDL1, sCTLA4) associated with clinical response.
- These biomarkers were either modulated by TKI therapy or independent of it.
Conclusions:
- An immunological profile for mRCC patients has been suggested.
- These findings can aid in improving clinical decision-making for RCC treatment selection, timing, and sequencing.
- Further research can leverage these biomarkers to enhance patient outcomes.
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