Evidence map›Paper›PMID 42567561›Full record

ArticleJournal for immunotherapy of cancer2026

Circulating B cell and T cell activation states predict clinical outcomes in melanoma and reveal dynamic immune reinvigoration with checkpoint inhibitor immunotherapy.

Lucy Booth, Rebecca Adams, Angela Clifford, Francisco Aguilar, Nadira Ali, Cynthia Bishop, Jahangir Sufi, Yin Wu, Amanda Fitzpartick, Jenny L C Geh and 13 more

Abstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review
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.

Lucy BoothSt. John's Institute of Dermatology, School of Basic and Medical Biosciences and KHP Centre for Translational Medicine, King's College London, Guy's Hospital, London, UK.
Rebecca AdamsSt. John's Institute of Dermatology, School of Basic and Medical Biosciences and KHP Centre for Translational Medicine, King's College London, Guy's Hospital, London, UK.
Angela CliffordSt. John's Institute of Dermatology, School of Basic and Medical Biosciences and KHP Centre for Translational Medicine, King's College London, Guy's Hospital, London, UK.
Francisco AguilarSt. John's Institute of Dermatology, School of Basic and Medical Biosciences and KHP Centre for Translational Medicine, King's College London, Guy's Hospital, London, UK.
Nadira AliSt. John's Institute of Dermatology, School of Basic and Medical Biosciences and KHP Centre for Translational Medicine, King's College London, Guy's Hospital, London, UK.
Cynthia BishopAdvanced Cytometry Platform, R&D Department, Guy's and St Thomas' NHS Foundation Trust, Guy's Hospital, London, UK.
Jahangir SufiAdvanced Cytometry Platform, R&D Department, Guy's and St Thomas' NHS Foundation Trust, Guy's Hospital, London, UK.
Yin WuSt. John's Institute of Dermatology, School of Basic and Medical Biosciences and KHP Centre for Translational Medicine, King's College London, Guy's Hospital, London, UK.
Amanda FitzpartickSt. John's Institute of Dermatology, School of Basic and Medical Biosciences and KHP Centre for Translational Medicine, King's College London, Guy's Hospital, London, UK.
Jenny L C GehSt. John's Institute of Dermatology, School of Basic and Medical Biosciences and KHP Centre for Translational Medicine, King's College London, Guy's Hospital, London, UK.ORCID http://orcid.org/0000-0001-7031-3844
Alastair D MacKenzie RossDepartment of Plastic Surgery, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Hawys Lloyd-HughesDepartment of Plastic Surgery, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Matthew StodellDepartment of Plastic Surgery, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Claire S DanielHead and Neck Cancer Department, Guy's and St Thomas' Hospitals NHS Foundation Trust, London, UK.
Sean WhittakerSt. John's Institute of Dermatology, School of Basic and Medical Biosciences and KHP Centre for Translational Medicine, King's College London, Guy's Hospital, London, UK.
Khushboo SinhaSt. John's Institute of Dermatology, School of Basic and Medical Biosciences and KHP Centre for Translational Medicine, King's College London, Guy's Hospital, London, UK.
Zena N WillsmoreSt. John's Institute of Dermatology, School of Basic and Medical Biosciences and KHP Centre for Translational Medicine, King's College London, Guy's Hospital, London, UK.
Manuela Terranova-BarberioBarts Cancer Institute, Queen Mary University of London, London, UK.
Niwa AliPeter Gorer Department of Immunobiology, 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, King's College London, Guy's Hospital, London, UK.
Thomas J TullSt. John's Institute of Dermatology, School of Basic and Medical Biosciences and KHP Centre for Translational Medicine, King's College London, Guy's Hospital, London, UK.
Sophia TsokaDepartment of Informatics, Faculty of Natural, Mathematical and Engineering Sciences, King's College London, Strand Campus, London, UK.
Sophia N KaragiannisSt. John's Institute of Dermatology, School of Basic and Medical Biosciences and KHP Centre for Translational Medicine, King's College London, Guy's Hospital, London, UK sophia.karagiannis@kcl.ac.uk.ORCID http://orcid.org/0000-0002-4100-7810

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundNearly half of patients with melanoma do not respond to immune checkpoint inhibitors (CPIs) and many develop immune-related adverse events (irAEs), often forcing treatment discontinuation, and underscoring the need to predict and monitor outcomes. Responses may depend on both B cell and T cell activity.

methodsWe performed high-dimensional mass cytometry profiling of coexisting peripheral B cell and key T cell states in treatment-naïve patients and healthy individuals, and paired longitudinal samples from CPI-treated patients, with clinical annotations to define immune correlates of outcomes.

resultsCPI-naive patients exhibited reduced CD19+ B cells, reduced B cell (CD21, IL-2, CXCR5) and T cell (CD38, CD27) activation markers, alongside enriched naïve (CD21lo) and double-negative (DN2)-like B cells, CD95+IL-10+plasmablasts, consistent with extrafollicular responses. Concurrently, programmed cell death protein 1 (PD-1)+ and proliferation marker protein-67 (Ki67)+ T cell expansion indicates ongoing activation with features of proliferative exhaustion. Active disease featured increased regulatory CD95 expression on B cells and expanded T follicular helper-like and activated DN (CD4-CD8-) T cells, indicating sustained antigen stimulation. Pretreatment, elevated PD-1+ T cells predicted irAEs, whereas VEGF (vascular endothelial growth factor)+TGF-β (transforming growth factor-β)+ DN T cells were enriched in patients without subsequent toxicity. Pretreatment, plasmablasts, transitional B cells, Forkhead box protein P3 (FoxP3)+ and central memory-like CD8+ T cells correlated with worse overall survival; naïve CD21lo B cells, PD-1+CD8+ T cells and CD4+follicular helper-like T cells predicted shorter event-free survival; CD4+ memory T cells predicted better prognosis, implicating dysregulated differentiation and sustained activation in adverse outcomes. On-treatment, naïve CD21hi B cells, plasmablasts, activated CD8+ and central memory-like CD4+ T cells expanded, indicating de novo humoral responses and cytotoxic T cell invigoration. On-treatment, increased class-switched memory (IgG2+) B and activated T cells predicted improved survival, while persistent naïve and DN B cells were associated with poorer outcomes. Anti-PD-1 monotherapy expanded naïve (CD21hi) B cells and global T cells. Anti-PD-1/anti-LAG-3 (lymphocyte-activation gene 3) combination contracted memory B cells.

conclusionsMelanoma displays aberrant peripheral B and T cell activation, maturation and exhaustion, prominent in active disease. Treatment-induced class-switched B cells and T cell invigoration predict clinical benefit and naïve/DN B cells signify resistance. Coordinated B and T cell responses, especially recurrent extrafollicular B cell and exhausted/regulatory T cell states emerge as candidate indicators of outcome.

Indexed as

B-LymphocytesImmune Checkpoint InhibitorsImmunotherapyLymphocyte ActivationMelanomaT-LymphocytesFemaleHumansMaleMiddle AgedTreatment OutcomeImmune Checkpoint InhibitorsAdaptiveB cellImmune Checkpoint InhibitorSkin CancerT cell

Identifiers

PMID42567561
PMCPMC13475463

What OpenQuestion holds

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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.