Evidence map›Paper›PMID 42282671›Full record

ArticlebioRxiv : the preprint server for biology2026

Autoantibodies Drive Fcγ Receptor-Dependent Colon Inflammation During Immune Checkpoint Blockade.

Iryna Voloshyna, Yury Patskovsky, Sabina Sandigursky, Chaitra Sreenivasaiah, Erol C Bayraktar, Ethan Tardio, Andrea V Lopez, Stanzin Idga, Courtney Ng, Milad Ibrahim and 12 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

22 authors.

Iryna VoloshynaLaura and Isaac Perlmutter Cancer Center, New York University Grossman School of Medicine, New York, NY 10016, USA.ORCID 0000-0001-5975-8463
Yury PatskovskyLaura and Isaac Perlmutter Cancer Center, New York University Grossman School of Medicine, New York, NY 10016, USA.
Sabina SandigurskyLaura and Isaac Perlmutter Cancer Center, New York University Grossman School of Medicine, New York, NY 10016, USA.
Chaitra SreenivasaiahApplied Bioinformatics Laboratories, New York University Langone Medical Center, New York, NY, 10016, USA.
Erol C BayraktarDepartment of Pathology, New York University Grossman School of Medicine, New York, NY, 10016, USA.
Ethan TardioLaura and Isaac Perlmutter Cancer Center, New York University Grossman School of Medicine, New York, NY 10016, USA.
Andrea V LopezLaura and Isaac Perlmutter Cancer Center, New York University Grossman School of Medicine, New York, NY 10016, USA.
Stanzin IdgaLaura and Isaac Perlmutter Cancer Center, New York University Grossman School of Medicine, New York, NY 10016, USA.
Courtney NgLaura and Isaac Perlmutter Cancer Center, New York University Grossman School of Medicine, New York, NY 10016, USA.
Milad IbrahimRonald O. Perelman Department of Dermatology, New York University Grossman School of Medicine, New York, NY, 10016, USA.
Clara GoldbergRonald O. Perelman Department of Dermatology, New York University Grossman School of Medicine, New York, NY, 10016, USA.
Anastasia ZhurovaDepartment of Pathology, New York University Grossman School of Medicine, New York, NY, 10016, USA.
Ryah FreihLaura and Isaac Perlmutter Cancer Center, New York University Grossman School of Medicine, New York, NY 10016, USA.
Justin MastroianniLaura and Isaac Perlmutter Cancer Center, New York University Grossman School of Medicine, New York, NY 10016, USA.
Yuan HaoApplied Bioinformatics Laboratories, New York University Langone Medical Center, New York, NY, 10016, USA.
Pamela MishraApplied Bioinformatics Laboratories, New York University Langone Medical Center, New York, NY, 10016, USA.
Alireza Khodadadi-JamayranApplied Bioinformatics Laboratories, New York University Langone Medical Center, New York, NY, 10016, USA.
Janice MehnertLaura and Isaac Perlmutter Cancer Center, New York University Grossman School of Medicine, New York, NY 10016, USA.
Gregg J SilvermanDepartment of Medicine, New York University Grossman School of Medicine, New York, NY, 10016, USA.
Faisal Fa'akLaura and Isaac Perlmutter Cancer Center, New York University Grossman School of Medicine, New York, NY 10016, USA.
Iman OsmanRonald O. Perelman Department of Dermatology, New York University Grossman School of Medicine, New York, NY, 10016, USA.
Michelle KrogsgaardLaura and Isaac Perlmutter Cancer Center, New York University Grossman School of Medicine, New York, NY 10016, USA.

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MARK Reid PHILIPS · 1985 to 2026
$83.1M
Project 4P50CA225450 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI OSMAN, IMAN, WEBER, JEFFREY S · 2019 to 2025
$12.5M
T-cell intrinsic mechanisms of resistance to PD-1 checkpoint blockadeR01CA243486 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KROGSGAARD, MICHELLE, ZHU, CHENG · 2020 to 2024
$3.5M
(PQ8) Predicting immune-related toxicity in the adjuvant melanoma setting with checkpoint inhibitionR01CA231295 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI OSMAN, IMAN, WEBER, JEFFREY S · 2018 to 2022
$2.4M
NCI NIH HHS P30 CA016087NCI NIH HHS P50 CA225450NCI NIH HHS R01 CA231295NCI NIH HHS R01 CA243486
6 · The paper itself

Abstract

Immune-related adverse events (irAEs), particularly colitis, are major limitations of immune checkpoint inhibitor (ICI) therapy, but their mechanisms remain poorly understood. Here we show that endogenous autoantibodies (AAbs) can promote ICI-associated colitis through Fcγ receptor-dependent pathways. IgG from melanoma patients treated with pembrolizumab, nivolumab, or ipilimumab, with or without severe colitis, was transferred into wild-type or humanized FcγR (hFcγR) mice receiving comparable ICI therapy. Wild-type mice did not develop changes in the colon. In contrast, hFcγR mice given IgG from patients with colitis developed colon inflammation marked by a significant increase in submucosal lymphocyte infiltration, goblet cell loss, and circulating cytokines, including IL-1β, IL-17a, and IL-22. Single-cell RNA sequencing identified an IgG-regulated inflammatory network involving IFNγ-producing ILC1, Th1 and cytotoxic T cells, IL-1β+ M1 macrophages, plasma B cells/plasmablasts, and IL-22-producing ILC3-LTi cells. Patient serum autoantibody profiling further identified CCR5 and CXCR4 receptors as candidate immune-related targets associated with ICC susceptibility. Immune-related adverse events (irAEs), particularly colitis, are major limitations of immune checkpoint inhibitor (ICI) therapy, but their mechanisms remain poorly understood. Here we show that endogenous autoantibodies (AAbs) can promote ICI-associated colitis through Fc gamma receptor (FcgR)-dependent pathways. IgG from melanoma patients treated with pembrolizumab, nivolumab, or ipilimumab, with or without severe colitis, was transferred into wild-type or humanized FcgR (hFcgR) mice receiving comparable ICI therapy. Wild-type mice did not develop changes in the colon. In contrast, hFcgR mice given IgG from patients with colitis developed colon inflammation marked by a significant increase in submucosal lymphocyte infiltration, goblet cell loss, and circulating cytokines, including IL-6, IL-17, and IL-22. Single-cell RNA sequencing identified an IgG-regulated inflammatory network involving IFNg-producing ILC1, Th1 and cytotoxic T cells, IL-1betta-M1 macrophages, plasma B cells/plasmablasts, and IL-22-producing ILC3-LTi cells. Patient serum autoantibody profiling further identified CCR5 and CXCR4 receptors as candidate immune-related targets associated with ICC susceptibility.

Identifiers

PMID42282671
PMCPMC13252365

What OpenQuestion holds

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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.