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      A “Lymphocyte MicroRNA Signature” as Predictive Biomarker of Immunotherapy Response and Plasma PD-1/PD-L1 Expression Levels in Patients with Metastatic Renal Cell Carcinoma: Pointing towards Epigenetic Reprogramming

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          Abstract

          Simple Summary

          MicroRNAs are small molecules of non-coding RNAs which regulate gene expression at the post-transcriptional level. Normal miRNA expression and function can be deregulated in cancer. The comprehensive molecular characterization of Renal Cell Carcinoma shows several genes silenced and signaling pathways deregulated by epigenetic modifications, such as the abnormal expression of miRNAs. They can be secreted from malignant cells in whole-blood, plasma, serum, and urine samples, making miRNAs potential non-invasive tumor biomarkers. However, if a single miRNA can show low discriminatory power, the combination of miRNAs in a “miRNA signature”, identified in the peripheral lymphocytes of patients, could function better with much higher probability to predict the response to immunotherapy and to discriminate responders from non-responders patients already at therapy baseline.

          Abstract

          Introduction of checkpoint inhibitors resulted in durable responses and improvements in overall survival in advanced RCC patients, but the treatment efficacy is widely variable, and a considerable number of patients are resistant to PD-1/PD-L1 inhibition. This variability of clinical response makes necessary the discovery of predictive biomarkers for patient selection. Previous findings showed that the epigenetic modifications, including an extensive microRNA-mediated regulation of tumor suppressor genes, are key features of RCC. Based on this biological background, we hypothesized that a miRNA expression profile directly identified in the peripheral lymphocytes of the patients before and after the nivolumab administration could represent a step toward a real-time monitoring of the dynamic changes during cancer evolution and treatment. Interestingly, we found a specific subset of miRNAs, called “lymphocyte miRNA signature”, specifically induced in long-responder patients (CR, PR, or SD to nivolumab >18 months). Focusing on the clinical translational potential of miRNAs in controlling the expression of immune checkpoints, we identified the association between the plasma levels of soluble PD-1/PD-L1 and expression of some lymphocyte miRNAs. These findings could help the development of novel dynamic predictive biomarkers urgently needed to predict the potential response to immunotherapy and to guide clinical decision-making in RCC patients.

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          Most cited references57

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          Nivolumab plus Ipilimumab versus Sunitinib in Advanced Renal-Cell Carcinoma

          Nivolumab plus ipilimumab produced objective responses in patients with advanced renal-cell carcinoma in a pilot study. This phase 3 trial compared nivolumab plus ipilimumab with sunitinib for previously untreated clear-cell advanced renal-cell carcinoma.
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            Nivolumab versus Everolimus in Advanced Renal-Cell Carcinoma.

            Nivolumab, a programmed death 1 (PD-1) checkpoint inhibitor, was associated with encouraging overall survival in uncontrolled studies involving previously treated patients with advanced renal-cell carcinoma. This randomized, open-label, phase 3 study compared nivolumab with everolimus in patients with renal-cell carcinoma who had received previous treatment.
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              Pembrolizumab plus Axitinib versus Sunitinib for Advanced Renal-Cell Carcinoma

              The combination of pembrolizumab and axitinib showed antitumor activity in a phase 1b trial involving patients with previously untreated advanced renal-cell carcinoma. Whether pembrolizumab plus axitinib would result in better outcomes than sunitinib in such patients was unclear.
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                Author and article information

                Journal
                Cancers (Basel)
                Cancers (Basel)
                cancers
                Cancers
                MDPI
                2072-6694
                16 November 2020
                November 2020
                : 12
                : 11
                : 3396
                Affiliations
                [1 ]Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), Section of Medical Oncology, University of Palermo, 90127 Palermo, Italy; lorena.incorvaia@ 123456unipa.it (L.I.); viviana.bazan@ 123456usa.net (V.B.)
                [2 ]Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, 90127 Palermo, Italy; fandan@ 123456libero.it (D.F.); giuseppe.badalamenti@ 123456unipa.it (G.B.); chiabra92@ 123456libero.it (C.B.); marco.bono@ 123456unipa.it (M.B.); ida.deluca@ 123456unipa.it (I.D.L.); laura.algeri@ 123456community.unipa.it (L.A.); annalisa.bonasera@ 123456unipa.it (A.B.); lidiarita.corsini@ 123456community.unipa.it (L.R.C.)
                [3 ]Department of Surgical, Oncological and Oral Sciences, Section of Urology, University of Palermo, 90127 Palermo, Italy; salvatore.scurria@ 123456hsrgiglio.it
                [4 ]Team Pancreatic Cancer, Centre de Recherche en Cancérologie de Marseille (CRCM), INSERM U1068, CNRS UMR 7258, Aix-Marseille Université and Institut Paoli-Calmettes, Parc Scientifique et Technologique de Luminy, 13288 Marseille, France; juan.iovanna@ 123456inserm.fr
                Author notes
                [* ]Correspondence: antonio.russo@ 123456usa.net
                [†]

                Lorena Incorvaia, Daniele Fanale and Giuseppe Badalamenti contributed equally to this work.

                [‡]

                Antonio Russo and Viviana Bazan are co-last authors.

                Author information
                https://orcid.org/0000-0002-1199-7286
                https://orcid.org/0000-0001-7668-737X
                Article
                cancers-12-03396
                10.3390/cancers12113396
                7697734
                33207823
                d8bf334a-ace8-4b62-a7d6-5975fe46c4b3
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 17 October 2020
                : 13 November 2020
                Categories
                Article

                microrna,mirna,pd-1,pd-l1,predictive biomarkers,renal cell carcinoma,soluble immune checkpoints

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