Immune Checkpoint Inhibitors in the Treatment of Renal Cancer: Current State and Future Perspective
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- Daniele Lavacchi
- Clinical Oncology Unit, AOU Careggi, 50134 Firenze, Italy
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- Elisa Pellegrini
- Clinical Oncology Unit, AOU Careggi, 50134 Firenze, Italy
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- Valeria Emma Palmieri
- Clinical Oncology Unit, AOU Careggi, 50134 Firenze, Italy
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- Laura Doni
- Clinical Oncology Unit, AOU Careggi, 50134 Firenze, Italy
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- Marinella Micol Mela
- Clinical Oncology Unit, AOU Careggi, 50134 Firenze, Italy
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- Fabrizio Di Maida
- Clinical Oncology Unit, AOU Careggi, 50134 Firenze, Italy
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- Amedeo Amedei
- Department of Experimental and Clinical Medicine, University of Firenze, 50134 Firenze, Italy
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- Serena Pillozzi
- Clinical Oncology Unit, AOU Careggi, 50134 Firenze, Italy
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- Marco Carini
- Clinical Oncology Unit, AOU Careggi, 50134 Firenze, Italy
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- Lorenzo Antonuzzo
- Clinical Oncology Unit, AOU Careggi, 50134 Firenze, Italy
書誌事項
- 公開日
- 2020-06-30
- 権利情報
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- https://creativecommons.org/licenses/by/4.0/
- DOI
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- 10.3390/ijms21134691
- 公開者
- MDPI AG
説明
<jats:p>Systemic treatment of renal cancer (RCC) has undergone remarkable changes over the past 20 years with the introduction of immunotherapeutic agents targeting programmed cell death (PD-1)/programmed death-ligand 1 (PD-L1) axis, as a single-agent or combined with anti-CTLA-4 monoclonal antibodies (MoAbs) or a multi-target vascular endothelial growth factor-(VEGF) tyrosine kinase inhibitor (TKI). In this paper, we review the main evidence on the use of Immune Checkpoint Inhibitors (ICIs) for RCC treatment from the first demonstration of activity of a nivolumab single agent in a phase I trial to the novel combination strategies (anti-PD-1 plus anti-CTLA4 or anti-PD-1 plus TKI). In addition, we discuss the use of anti-PD-1/PD-L1 agents in patients with non-clear cells and rare histological subtype RCC. Then, we critically examine the current findings in biomarkers that have been proposed to be prognostic or predictive to the response of immunotherapy including immune gene expression signature, B7-H1 expression, PBRM1 loss of function, PD-L1 expression, frame shift indel count, mutations in bromodomain-containing genes in patients with MiT family translocation RCC (tRCC), high expression of the T-effector gene signature, and a high myeloid inflammation gene expression pattern. To date, a single biomarker as a predictor of response has not been established. Since the dynamic behavior of the immune response and the different impact of ICI treatment on patients with specific RCC subtypes, the integration of multiple biomarkers and further validation in clinical trials are needed.</jats:p>
収録刊行物
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- International Journal of Molecular Sciences
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International Journal of Molecular Sciences 21 (13), 4691-, 2020-06-30
MDPI AG