Evidence map›Paper›PMID 35640928›Full record

Trial reportJournal for immunotherapy of cancer2022

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.

Lucia Carril-Ajuria, Aude Desnoyer, Maxime Meylan, Cécile Dalban, Marie Naigeon, Lydie Cassard, Yann Vano, Nathalie Rioux-Leclercq, Salem Chouaib, Benoit Beuselinck and 13 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Journal for immunotherapy of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
8.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 60 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Towards liquid biopsy-based analysis of antitumour immunity.Nature reviews. Clinical oncology · 2026
    Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors at 6 institutions in 1 country.

Lucia Carril-Ajuria *Department of Cancer Medicine, Institut Gustave-Roussy, Villejuif, France.ORCID 0000-0001-8256-4376
Aude Desnoyer *Laboratory for Immunomonitoring in Oncology, Institut Gustave-Roussy, Villejuif, France.
Maxime MeylanCentre de Recherche des Cordeliers, Inserm UMR S1138, Paris, France.
Cécile DalbanDepartment of Biostatistics, Centre Leon Bernard, Lyon, France.
Marie NaigeonFaculté de Pharmacie, Université Paris-Saclay, Chatenay-Malabray, France.
Lydie CassardLaboratory for Immunomonitoring in Oncology, Institut Gustave-Roussy, Villejuif, France.
Yann VanoCentre de Recherche des Cordeliers, Inserm UMR S1138, Paris, France.
Nathalie Rioux-LeclercqService Anatomie Etcytologie Pathologiques, CHU, Université de Rennes, Universite de Rennes 1, Rennes, France.
Salem ChouaibDepartment of Immunology, Gustave Roussy Institute, Villejuif, France.
Benoit BeuselinckLeuven Cancer Institute, Leuven, Belgium.
Sylvie ChabaudDepartment of Biostatistics, Centre Leon Bernard, Lyon, France.
Janice Barros-MonteiroTranslational Research, UNICANCER, Paris, France.
Antoine BougoüinCentre de Recherche des Cordeliers, Inserm UMR S1138, Paris, France.
Guillaume LacroixCentre de Recherche des Cordeliers, Inserm UMR S1138, Paris, France.
Irelka Colina-MorenoCentre de Recherche des Cordeliers, Inserm UMR S1138, Paris, France.
Florence TantotGETUG group, Unicancer, Paris, France.
Lisa BoselliLaboratory for Immunomonitoring in Oncology, Institut Gustave-Roussy, Villejuif, France.
Caroline De OliveiraLaboratory for Immunomonitoring in Oncology, Institut Gustave-Roussy, Villejuif, France.
Wolf Herve FridmanCentre de Recherche des Cordeliers, Inserm UMR S1138, Paris, France.ORCID 0000-0002-1332-0973
Bernard EscudierDepartment of Cancer Medicine, Institut Gustave-Roussy, Villejuif, France.
Catherine Sautes-FridmanCentre de Recherche des Cordeliers, Inserm UMR S1138, Paris, France.ORCID 0000-0003-1735-8722
Laurence Albiges *Department of Cancer Medicine, Institut Gustave-Roussy, Villejuif, France.
Nathalie Chaput-Gras *Laboratory for Immunomonitoring in Oncology, Institut Gustave-Roussy, Villejuif, France CHAPUT-GRAS.Nathalie@gustaveroussy.fr.
Inserm · FRInstitut Gustave Roussy · FRUniversité Paris-Saclay · FRCentre Léon Bérard · FRUniCancer Group · FRUniversité de Rennes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsAbsolute 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.

resultsAmong 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).

conclusionWe 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.

Indexed as

Antineoplastic Agents, ImmunologicalCarcinoma, Renal CellKidney NeoplasmsHumansMemory B CellsNivolumabTumor MicroenvironmentAntineoplastic Agents, ImmunologicalNivolumabcytokinesimmunityimmunotherapytranslational medical researchurologic neoplasms

Identifiers

PMID35640928
PMCPMC9157347
OpenAlexW4281940442

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.