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.


Journal

Journal for immunotherapy of cancer
ISSN: 2051-1426
Titre abrégé: J Immunother Cancer
Pays: England
ID NLM: 101620585

Informations de publication

Date de publication:
05 2022
Historique:
accepted: 23 04 2022
entrez: 31 5 2022
pubmed: 1 6 2022
medline: 3 6 2022
Statut: ppublish

Résumé

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. 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. 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). 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.

Sections du résumé

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.

Identifiants

pubmed: 35640928
pii: jitc-2022-004885
doi: 10.1136/jitc-2022-004885
pmc: PMC9157347
pii:
doi:

Substances chimiques

Antineoplastic Agents, Immunological 0
Nivolumab 31YO63LBSN

Types de publication

Clinical Trial Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 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.

Déclaration de conflit d'intérêts

Competing interests: YV: honoraria for consultancy: BMS, MSD, Ipsen, Pfizer, Roche; research fundings: BMS, Ipsen, Roche. WHF: consultant for Anaveon, Catalym, Novartis, GSK, Adaptimmune, OSE Immunotheraputics, Elsalys, Parthenon, Oxford Biotherapeutics, Genenta. BE: honoraria for consultancy: Pfizer, BMS, Ipsen, Aveo, Eisai. LA: grants and honoraria from Pfizer, Novartis, BMS, Ipsen, Roche, AstraZeneca, Amgen, Astellas, Exelixis, Corvus Pharmaceuticals, Peloton therapeutics, MSD and Merck, outside the submitted work. NC-G: sponsored research at Gustave Roussy from AstraZeneca, GSK, Roche, Sanofi, Cytune Pharma. Lectures and educational activities Gilead and Servier. All other authors declare no conflicts of interest.

Références

Cancer Cell. 2022 Mar 14;40(3):318-334.e9
pubmed: 35120598
Nat Commun. 2019 Sep 13;10(1):4186
pubmed: 31519915
Cell. 2019 Nov 14;179(5):1191-1206.e21
pubmed: 31730857
Nature. 2020 Jan;577(7791):556-560
pubmed: 31942077
J Immunother Cancer. 2021 Mar;9(3):
pubmed: 33688021
Nat Rev Immunol. 2020 Apr;20(4):229-238
pubmed: 31836872
Immunity. 2018 Aug 21;49(2):264-274.e4
pubmed: 30076099
Front Med (Lausanne). 2018 Dec 12;5:351
pubmed: 30631766
Nat Med. 2020 Jun;26(6):909-918
pubmed: 32472114
Clin Cancer Res. 2017 Aug 1;23(15):4416-4428
pubmed: 28213366
Nat Med. 2018 Jun;24(6):749-757
pubmed: 29867230
N Engl J Med. 2021 Mar 4;384(9):829-841
pubmed: 33657295
Immunity. 2011 Jan 28;34(1):108-21
pubmed: 21215658
Sci Rep. 2020 Nov 4;10(1):18994
pubmed: 33149213
N Engl J Med. 2021 Apr 8;384(14):1289-1300
pubmed: 33616314
Front Immunol. 2020 Oct 09;11:563653
pubmed: 33162976
Nat Med. 2020 Dec;26(12):1839-1844
pubmed: 33046870
Cell. 2021 Feb 4;184(3):596-614.e14
pubmed: 33508232
Nature. 2020 Jan;577(7791):549-555
pubmed: 31942075
Nat Med. 2020 Dec;26(12):1845-1851
pubmed: 33046869
J Exp Med. 1988 Feb 1;167(2):332-44
pubmed: 3258006
Clin Cancer Res. 2020 Nov 1;26(21):5598-5608
pubmed: 32816890
Proc Natl Acad Sci U S A. 2016 Mar 8;113(10):2702-7
pubmed: 26908875
N Engl J Med. 2019 Mar 21;380(12):1116-1127
pubmed: 30779529
Nat Rev Immunol. 2013 Feb;13(2):118-32
pubmed: 23348416
J Immunother Cancer. 2020 Sep;8(2):
pubmed: 32900863
Eur Urol. 2021 Jun;79(6):793-795
pubmed: 33773871
Breast Cancer. 2019 Mar;26(2):180-189
pubmed: 30244409
J Immunother Cancer. 2019 Nov 15;7(1):306
pubmed: 31730012
Cell. 2017 May 4;169(4):736-749.e18
pubmed: 28475899
Science. 2011 Mar 4;331(6021):1203-7
pubmed: 21310965
Clin Cancer Res. 2021 Mar 1;27(5):1236-1241
pubmed: 33199494
Immunity. 2013 Oct 17;39(4):770-81
pubmed: 24138884
N Engl J Med. 2018 Apr 05;378(14):1277-1290
pubmed: 29562145
Cancer Cell. 2020 Dec 14;38(6):803-817.e4
pubmed: 33157048
Front Immunol. 2020 Oct 21;11:521110
pubmed: 33193299
Lancet Oncol. 2012 Aug;13(8):827-37
pubmed: 22759480
Oncoimmunology. 2021 Feb 2;10(1):1873585
pubmed: 33643691
Nat Rev Immunol. 2015 Mar;15(3):149-59
pubmed: 25677494
J Exp Med. 1998 Feb 16;187(4):655-60
pubmed: 9463416
Nat Rev Cancer. 2004 Jan;4(1):11-22
pubmed: 14708024
Cancers (Basel). 2020 Sep 14;12(9):
pubmed: 32937860
Semin Immunol. 2020 Apr;48:101406
pubmed: 33248905
Nature. 2020 Jan;577(7791):561-565
pubmed: 31942071
Eur J Cancer. 2021 May;148:181-189
pubmed: 33743486
Nat Commun. 2017 Sep 19;8(1):607
pubmed: 28928360
Nat Med. 2020 Nov;26(11):1733-1741
pubmed: 32895571
Clin Cancer Res. 2021 Jan 15;27(2):492-503
pubmed: 32887723
Front Immunol. 2018 Oct 08;9:2285
pubmed: 30349534
Ann Oncol. 2019 May 1;30(5):706-720
pubmed: 30788497
PLoS One. 2021 Jan 28;16(1):e0244855
pubmed: 33507994
Cytometry A. 2018 Aug;93(8):793-802
pubmed: 30168890
Nat Cancer. 2021 Aug;2(8):794-802
pubmed: 35118423
Front Immunol. 2017 Jan 30;8:46
pubmed: 28194154
Cells. 2019 May 13;8(5):
pubmed: 31086070
J Exp Med. 2017 Nov 6;214(11):3207-3217
pubmed: 28899868
Front Immunol. 2021 Nov 24;12:759217
pubmed: 34899709
Cancer Immunol Immunother. 2014 Mar;63(3):247-57
pubmed: 24357148
Front Immunol. 2019 Jul 31;10:1787
pubmed: 31417562
Oncologist. 2015 Oct;20(10):1140-8
pubmed: 26306901

Auteurs

Lucia Carril-Ajuria (L)

Department of Cancer Medicine, Institut Gustave-Roussy, Villejuif, France.
Laboratory for Immunomonitoring in Oncology, Institut Gustave-Roussy, Villejuif, France.

Aude Desnoyer (A)

Laboratory for Immunomonitoring in Oncology, Institut Gustave-Roussy, Villejuif, France.
Faculté de Pharmacie, Université Paris-Saclay, Chatenay-Malabray, France.

Maxime Meylan (M)

Centre de Recherche des Cordeliers, Inserm UMR S1138, Paris, France.

Cécile Dalban (C)

Department of Biostatistics, Centre Leon Bernard, Lyon, France.

Marie Naigeon (M)

Faculté de Pharmacie, Université Paris-Saclay, Chatenay-Malabray, France.
Laboratoire d'immunomonitoring En Oncologie, Institut Gustave-Roussy, Villejuif, France.
Faculté de Médecine, Université Paris-Saclay, Le Kremlin Bicetre, France.

Lydie Cassard (L)

Laboratory for Immunomonitoring in Oncology, Institut Gustave-Roussy, Villejuif, France.

Yann Vano (Y)

Centre de Recherche des Cordeliers, Inserm UMR S1138, Paris, France.
Service d'Oncologie Medicale, Hopital Europeen Georges Pompidou, Paris, France.

Nathalie Rioux-Leclercq (N)

Service Anatomie Etcytologie Pathologiques, CHU, Université de Rennes, Universite de Rennes 1, Rennes, France.

Salem Chouaib (S)

Department of Immunology, Gustave Roussy Institute, Villejuif, France.

Benoit Beuselinck (B)

Leuven Cancer Institute, Leuven, Belgium.

Sylvie Chabaud (S)

Department of Biostatistics, Centre Leon Bernard, Lyon, France.

Janice Barros-Monteiro (J)

Translational Research, UNICANCER, Paris, France.

Antoine Bougoüin (A)

Centre de Recherche des Cordeliers, Inserm UMR S1138, Paris, France.

Guillaume Lacroix (G)

Centre de Recherche des Cordeliers, Inserm UMR S1138, Paris, France.

Irelka Colina-Moreno (I)

Centre de Recherche des Cordeliers, Inserm UMR S1138, Paris, France.

Florence Tantot (F)

GETUG group, Unicancer, Paris, France.

Lisa Boselli (L)

Laboratory for Immunomonitoring in Oncology, Institut Gustave-Roussy, Villejuif, France.

Caroline De Oliveira (C)

Laboratory for Immunomonitoring in Oncology, Institut Gustave-Roussy, Villejuif, France.

Wolf Herve Fridman (WH)

Centre de Recherche des Cordeliers, Inserm UMR S1138, Paris, France.

Bernard Escudier (B)

Department of Cancer Medicine, Institut Gustave-Roussy, Villejuif, France.

Catherine Sautes-Fridman (C)

Centre de Recherche des Cordeliers, Inserm UMR S1138, Paris, France.

Laurence Albiges (L)

Department of Cancer Medicine, Institut Gustave-Roussy, Villejuif, France.
Faculté de Médecine, Université Paris-Saclay, Le Kremlin Bicetre, France.

Nathalie Chaput-Gras (N)

Laboratory for Immunomonitoring in Oncology, Institut Gustave-Roussy, Villejuif, France CHAPUT-GRAS.Nathalie@gustaveroussy.fr.
Faculté de Pharmacie, Université Paris-Saclay, Chatenay-Malabray, France.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH