Evidence map›Paper›PMID 40449958›Full record

ArticleJournal for immunotherapy of cancer2025

Circulating immunoregulatory B cell and autoreactive antibody profiles predict lack of toxicity to anti-PD-1 checkpoint inhibitor treatment in advanced melanoma.

Zena N Willsmore, Lucy Booth, Akshay Patel, Ashley Di Meo, Ioannis Prassas, Jitesh Chauhan, Yin Wu, Amanda Fitzpartick, Katie Stoker, Matthaios Kapiris and 10 more

Abstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  5. Review
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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

20 authors.

Zena N WillsmoreSt John's Institute of Dermatology, School of Basic and Medical Biosciences and KHP Centre for Translational Medicine, Guy's Hospital, King's College London, London, UK.
Lucy BoothSt John's Institute of Dermatology, School of Basic and Medical Biosciences and KHP Centre for Translational Medicine, Guy's Hospital, King's College London, London, UK.
Akshay PatelInstitute of Immunology and Immunotherapy (III), College of Medicine and Health, University of Birmingham, Birmingham, UK.
Ashley Di MeoDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
Ioannis PrassasDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
Jitesh ChauhanSt John's Institute of Dermatology, School of Basic and Medical Biosciences and KHP Centre for Translational Medicine, Guy's Hospital, King's College London, London, UK.ORCID http://orcid.org/0000-0002-3968-9234
Yin WuDepartment of Medical Oncology, Guy's and St Thomas' Hospitals NHS Trust, London, UK.
Amanda FitzpartickDepartment of Medical Oncology, Guy's and St Thomas' Hospitals NHS Trust, London, UK.
Katie StokerSt John's Institute of Dermatology, School of Basic and Medical Biosciences and KHP Centre for Translational Medicine, Guy's Hospital, King's College London, London, UK.
Matthaios KapirisComprehensive Cancer Centre, School of Cancer and Pharmaceutical Sciences, Innovation Hub, Guy's Cancer Centre, King's College London, London, UK.
Dhruva BiswasCardiovascular Data Science (CarDS) Lab, Research Faculty, Yale School of Medicine, New Haven, Connecticut, USA.
Esperanza PeruchaCentre for Inflammation Biology and Cancer Immunology, School of Immunology and Microbial Sciences, King's College London, London, UK.
Sean WhittakerSt John's Institute of Dermatology, School of Basic and Medical Biosciences and KHP Centre for Translational Medicine, Guy's Hospital, King's College London, London, UK.
Sophia TsokaDepartment of Informatics, Faculty of Natural, Mathematical and Engineering Sciences, King's College London, Bush House, Strand Campus, King's College London, London, UK.
Eleftherios P DiamandisDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
Gary W MiddletonInstitute of Immunology and Immunotherapy (III), College of Medicine and Health, University of Birmingham, Birmingham, UK.
Thomas J TullSt John's Institute of Dermatology, School of Basic and Medical Biosciences and KHP Centre for Translational Medicine, Guy's Hospital, King's College London, London, UK.
Sophie PapaSt John's Institute of Dermatology, School of Basic and Medical Biosciences and KHP Centre for Translational Medicine, Guy's Hospital, King's College London, London, UK.
Katie E LacySt John's Institute of Dermatology, School of Basic and Medical Biosciences and KHP Centre for Translational Medicine, Guy's Hospital, King's College London, London, UK.
Sophia N KaragiannisSt John's Institute of Dermatology, School of Basic and Medical Biosciences and KHP Centre for Translational Medicine, Guy's Hospital, King's College London, London, UK sophia.karagiannis@kcl.ac.uk.ORCID http://orcid.org/0000-0002-4100-7810

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundThe majority of patients with melanoma develop immune-related adverse events (irAEs), and over half do not respond to anti-PD-1 (Programmed cell death protein 1) checkpoint inhibitor (CPI) immunotherapy. Accurate predictive biomarkers for both response to therapy and development of irAEs are currently lacking in clinical practice. Here, we conduct deep immunophenotyping of circulating regulatory and class-switched B cell and antibody immune states in patients with advanced stage III/IV melanoma prior to and longitudinally during CPI.

methodsMass cytometry, serum antibody isotyping and immuno-mass spectrometry proteome-wide screening evaluations to identify autoreactive antibodies were undertaken to profile circulating humoral immunity features in patients and healthy subjects and interrogate pretreatment B cell and antibody signatures that predict toxicity and response to anti-PD-1 therapy. In paired blood samples pretreatment and post-treatment, these humoral immune response profiles were monitored and correlated with the onset of toxicity.

resultsWe found increased circulating IL-10+ (Interleukin-10+) plasmablasts and double-negative (DN) B cell frequencies, higher PD-L1 (programmed death ligand 1), TGFβ (Transforming Growth Factorβ) and CD95 expression by B cells, alongside higher IgG4 and IgE serum levels in patients with stage III/IV melanoma. This suggests enhanced B regulatory and Th2 (Thelper2)-driven responses in advanced disease. Increased baseline frequency of DN2 B cells, plasmablasts, and serum IgE, IgA and antibody autoreactivity were observed in patients who did not develop irAE. During treatment, higher IL-10+class-switched memory B cell, plasmablast and IgG1, IgG3 and IgE, alongside reduced IgG2, IgG4, IgA and IgM levels, were observed. A reduction in autoantibodies targeting tubulins was observed during treatment. Increased frequency of class-switched memory B cells predicted improved survival, while reduced transitional and PD-L1+TGFβ+ naive B cell frequencies and higher IgG4 and IgE levels predicted lower survival, on anti-PD-1 therapy.

conclusionsDistinct B cell and antibody reactivities in patients with advanced melanoma share features with extrafollicular B cell responses in autoimmune diseases, may be protective from irAE and help predict outcomes to anti-PD-1.

Indexed as

B-LymphocytesImmune Checkpoint InhibitorsMelanomaProgrammed Cell Death 1 ReceptorAdultAgedFemaleHumansMaleMiddle AgedImmune Checkpoint InhibitorsPDCD1 protein, humanProgrammed Cell Death 1 ReceptorAutoimmuneB cellHumoralImmune Checkpoint InhibitorSkin Cancer

Identifiers

PMID40449958
PMCPMC12142029

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Registered trials

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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 OpenQuestion graph.