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      Baseline circulating unswitched memory B cells and B-cell related soluble factors are associated with overall survival in patients with clear cell renal cell carcinoma treated with nivolumab within the NIVOREN GETUG-AFU 26 study

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          Abstract

          Background

          The phase II NIVOREN GETUG-AFU 26 study reported safety and efficacy of nivolumab in patients with metastatic clear cell renal cell carcinoma (m-ccRCC) in a ‘real-world setting’. We conducted a translational-research program to determine whether specific circulating immune-cell populations and/or soluble factors at baseline were predictive of clinical outcomes in patients with m-ccRCC treated with nivolumab within the NIVOREN study.

          Methods

          Absolute numbers of 106 circulating immune-cell populations were prospectively analyzed in patients treated at a single institution within the NIVOREN trial with available fresh-whole-blood, using dry formulation panels for multicolor flow cytometry. In addition, a panel of 14 predefined soluble factors was quantified for each baseline plasma sample using the Meso-Scale-Discovery immunoassay. The remaining patients with available plasma sample were used as a validation cohort for the soluble factor quantification analysis. Tumor immune microenvironment characterization of all patients included in the translational program of the study was available. The association of blood and tissue-based biomarkers, with overall survival (OS), progression-free survival (PFS) and response was analyzed.

          Results

          Among the 44 patients, baseline unswitched memory B cells (NSwM B cells) were enriched in responders (p=0.006) and associated with improved OS (HR=0.08, p=0.002) and PFS (HR=0.54, p=0.048). Responders were enriched in circulating T follicular helper (Tfh) (p=0.027) and tertiary lymphoid structures (TLS) (p=0.043). Circulating NSwM B cells positively correlated with Tfh (r=0.70, p<0.001). Circulating NSwM B cells correlated positively with TLS and CD20 +B cells at the tumor center (r=0.59, p=0.044, and r=0.52, p=0.033) and inversely correlated with BCA-1/CXCL13 and BAFF (r=−0.55 and r=−0.42, p<0.001). Tfh cells also inversely correlated with BCA-1/CXCL13 (r=−0.61, p<0.001). IL-6, BCA-1/CXCL13 and BAFF significantly associated with worse OS in the discovery (n=40) and validation cohorts (n=313).

          Conclusion

          We report the first fresh blood immune-monitoring of patients with m-ccRCC treated with nivolumab. Baseline blood concentration of NSwM B cells was associated to response, PFS and OS in patients with m-ccRCC treated with nivolumab. BCA-1/CXCL13 and BAFF, inversely correlated to NSwM B cells, were both associated with worse OS in discovery and validation cohorts. Our data confirms a role for B cell subsets in the response to immune checkpoint blockade therapy in patients with m-ccRCC. Further studies are needed to confirm these findings.

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          Most cited references60

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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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            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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              B cells and tertiary lymphoid structures promote immunotherapy response

              Treatment with immune checkpoint blockade (ICB) has revolutionized cancer therapy. Until now, predictive biomarkers1-10 and strategies to augment clinical response have largely focused on the T cell compartment. However, other immune subsets may also contribute to anti-tumour immunity11-15, although these have been less well-studied in ICB treatment16. A previously conducted neoadjuvant ICB trial in patients with melanoma showed via targeted expression profiling17 that B cell signatures were enriched in the tumours of patients who respond to treatment versus non-responding patients. To build on this, here we performed bulk RNA sequencing and found that B cell markers were the most differentially expressed genes in the tumours of responders versus non-responders. Our findings were corroborated using a computational method (MCP-counter18) to estimate the immune and stromal composition in this and two other ICB-treated cohorts (patients with melanoma and renal cell carcinoma). Histological evaluation highlighted the localization of B cells within tertiary lymphoid structures. We assessed the potential functional contributions of B cells via bulk and single-cell RNA sequencing, which demonstrate clonal expansion and unique functional states of B cells in responders. Mass cytometry showed that switched memory B cells were enriched in the tumours of responders. Together, these data provide insights into the potential role of B cells and tertiary lymphoid structures in the response to ICB treatment, with implications for the development of biomarkers and therapeutic targets.
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                Author and article information

                Journal
                J Immunother Cancer
                J Immunother Cancer
                jitc
                jitc
                Journal for Immunotherapy of Cancer
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2051-1426
                2022
                31 May 2022
                : 10
                : 5
                : e004885
                Affiliations
                [1 ] departmentDepartment of Cancer Medicine , Institut Gustave-Roussy , Villejuif, France
                [2 ] departmentLaboratory for Immunomonitoring in Oncology , Institut Gustave-Roussy , Villejuif, France
                [3 ] departmentFaculté de Pharmacie , Université Paris-Saclay , Chatenay-Malabray, France
                [4 ] departmentCentre de Recherche des Cordeliers , Inserm UMR S1138 , Paris, France
                [5 ] departmentDepartment of Biostatistics , Centre Leon Bernard , Lyon, France
                [6 ] departmentLaboratoire d'immunomonitoring En Oncologie , Institut Gustave-Roussy , Villejuif, France
                [7 ] departmentFaculté de Médecine , Université Paris-Saclay , Le Kremlin Bicetre, France
                [8 ] departmentService d'Oncologie Medicale , Hopital Europeen Georges Pompidou , Paris, France
                [9 ] departmentService Anatomie Etcytologie Pathologiques, CHU, Université de Rennes , Universite de Rennes 1 , Rennes, France
                [10 ] departmentDepartment of Immunology , Gustave Roussy Institute , Villejuif, France
                [11 ] Leuven Cancer Institute , Leuven, Belgium
                [12 ] departmentTranslational Research , UNICANCER , Paris, France
                [13 ] departmentGETUG group , Unicancer , Paris, France
                Author notes
                [Correspondence to ] Dr Nathalie Chaput-Gras; CHAPUT-GRAS.Nathalie@ 123456gustaveroussy.fr
                Author information
                http://orcid.org/0000-0001-8256-4376
                http://orcid.org/0000-0002-1332-0973
                http://orcid.org/0000-0003-1735-8722
                Article
                jitc-2022-004885
                10.1136/jitc-2022-004885
                9157347
                35640928
                f766f549-02f7-400b-b582-1e4f02d2c311
                © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 23 April 2022
                Categories
                Clinical/Translational Cancer Immunotherapy
                1506
                2435
                Original research
                Custom metadata
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                cytokines,immunity,translational medical research,immunotherapy,urologic neoplasms

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