Evidence map›Paper›PMID 42114949›Full record

ArticleJournal for immunotherapy of cancer2026

Humoral contributions to checkpoint blockade therapy.

Michelle L McKeague, Sokratis A Apostolidis

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Michelle L McKeagueInstitute for Immunology and Immune Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA Michelle.Mckeague@Pennmedicine.upenn.edu.ORCID http://orcid.org/0000-0002-4288-1091
Sokratis A ApostolidisInstitute for Immunology and Immune Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.

Funding

Single-cell dissection of CD4 T cell changes in patients with immune-related adverse events following PD-1 inhibitionK08AR081929 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI Sokratis Apostolidis · 2023 to 2026
$691k
NIAMS NIH HHS K08 AR081929
6 · The paper itself

Abstract

Checkpoint blockade immunotherapy has changed the landscape of cancer treatment for many types of malignancies, but it still does not work for all individuals and for all tumor types. Much work over the past decade has been dedicated to discerning what underlies the heterogeneity in patient responses. While the underlying mechanism for checkpoint inhibition is mostly thought to be through facilitating better cellular immunity, Ring and colleagues recently began to broadly categorize the autoantibody landscape in immune checkpoint blockade (ICB)-treated individuals. They used the rapid extracellular antigen profiling technique to survey circulating antibody profiles from 374 patients and 131 healthy controls sampled longitudinally. The authors discovered that autoantibodies were more commonly found in patients with cancer treated with ICB compared with healthy controls, and that the types and levels of autoantibodies remained largely stable over time. While the population-level responses were quite diverse, there were some specific autoantigens that were targeted by the immune systems of multiple individuals. Of these, individuals who possessed autoantibodies against one or more proteins in the type-I interferon, interleukin (IL)-6 or IL-17 pathways or to tumor necrosis factor-like ligand 1A (TL1A) tended to have better responses to therapy, especially if the antibodies were neutralizing against their respective targets. Individuals who generated antibodies that blocked proteins within the bone morphogenesis pathway, conversely, exhibited a worse response to checkpoint inhibition. Overall, using this autoantibody-wide association study approach, the authors were able to characterize the extracellular and secreted autoreactome in detail, and to identify promising new therapeutic targets and areas of future investigation for patients taking ICB therapies.

Indexed as

AutoantibodiesImmune Checkpoint InhibitorsImmunity, HumoralImmunotherapyNeoplasmsHumansAutoantibodiesImmune Checkpoint InhibitorsAntibodyImmune Checkpoint Inhibitor

Identifiers

PMID42114949
PMCPMC13182427

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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.