Evidence map›Paper›PMID 36513074›Full record

ArticleCell reports. Medicine2023

Single-cell RNA sequencing reveals distinct T cell populations in immune-related adverse events of checkpoint inhibitors.

Shoiab Bukhari, Brian S Henick, Robert J Winchester, Shalom Lerrer, Kieran Adam, Yevgeniya Gartshteyn, Rohan Maniar, Ziyan Lin, Alireza Khodadadi-Jamayran, Aristotelis Tsirigos and 7 more

Abstract read
In one paragraph

Article in Cell reports. Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing 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

59 citing papers in PubMed.

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  13. Observational
  14. Dysregulated NAMPT signaling underlines the immune-suppressive microenvironment in venous leg ulcers.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Shoiab BukhariColumbia Center for Translational Immunology, Columbia University Medical Center, New York, NY 10032, USA.
Brian S HenickColumbia Center for Translational Immunology, Columbia University Medical Center, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY 10032, USA.
Robert J WinchesterColumbia Center for Translational Immunology, Columbia University Medical Center, New York, NY 10032, USA; Division of Rheumatology, Department of Medicine, Columbia University Medical Center, New York, NY 10032, USA.
Shalom LerrerColumbia Center for Translational Immunology, Columbia University Medical Center, New York, NY 10032, USA.
Kieran AdamColumbia Center for Translational Immunology, Columbia University Medical Center, New York, NY 10032, USA.
Yevgeniya GartshteynDivision of Rheumatology, Department of Medicine, Columbia University Medical Center, New York, NY 10032, USA.
Rohan ManiarHerbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY 10032, USA.
Ziyan LinApplied Bioinformatics Laboratories and Genome Technology Center, Division of Advanced Research Technologies, NYU School of Medicine, New York, NY 10016, USA.
Alireza Khodadadi-JamayranApplied Bioinformatics Laboratories and Genome Technology Center, Division of Advanced Research Technologies, NYU School of Medicine, New York, NY 10016, USA.
Aristotelis TsirigosApplied Bioinformatics Laboratories and Genome Technology Center, Division of Advanced Research Technologies, NYU School of Medicine, New York, NY 10016, USA.
Mary M SalvatoreDepartment of Radiology, Columbia University Medical Center, New York, NY 10032, USA.
Galina G LagosHerbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY 10032, USA.
Steven L ReinerDepartments of Microbiology & Immunology and Pediatrics, Columbia University Irving Medical Center, New York, NY 10032, USA.
Matthew C DallosHerbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY 10032, USA.
Matthen MathewHerbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY 10032, USA.
Naiyer A RizviHerbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY 10032, USA.
Adam MorColumbia Center for Translational Immunology, Columbia University Medical Center, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY 10032, USA; Division of Rheumatology, Department of Medicine, Columbia University Medical Center, New York, NY 10032, USA. Electronic address: am5121@columbia.edu.

Funding

Novel mechanisms regulating PD-1 signaling and functionR01AI125640 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Adam Mor · 2016 to 2026
$4.3M
A systematic approach to uncover the basic mechanisms of checkpoint inhibitor immune related adverse eventsR01AI175498 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Adam Mor, Robert J Winchester · 2023 to 2026
$2.9M
PAG is a novel target in immunotherapyR01AI150597 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MOR, ADAM · 2020 to 2024
$2.7M
Strategies to predict and overcome resistance to cancer immunotherapyR01CA279268 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STEVEN L REINER · 2023 to 2026
$2.2M
(PQ8) Predictive biomarkers for the onset of immune-related adverse events associated with PD-1 blockadeR21CA231277 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MOR, ADAM · 2019 to 2020
$361k
Five-laser Aurora spectral flow cytometerS10OD030282 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CREUSOT, REMI J · 2022 to 2022
$361k
NCI NIH HHS R01 CA279268NCI NIH HHS R21 CA231277NIAID NIH HHS R01 AI125640NIAID NIH HHS R01 AI150597NIAID NIH HHS R01 AI175498NIH HHS S10 OD030282
6 · The paper itself

Abstract

PD-1 is an inhibitory receptor in T cells, and antibodies that block its interaction with ligands augment anti-tumor immune responses. The clinical potential of these agents is limited by the fact that half of all patients develop immune-related adverse events (irAEs). To generate insights into the cellular changes that occur during anti-PD-1 treatment, we performed single-cell RNA sequencing of circulating T cells collected from patients with cancer. Using the K-nearest-neighbor-based network graph-drawing layout, we show the involvement of distinctive genes and subpopulations of T cells. We identify that at baseline, patients with arthritis have fewer CD8 T

Indexed as

NeoplasmsT-LymphocytesHumansImmunityImmunotherapySequence Analysis, RNAarthritisautoimmunitycheckpoint inhibitorimmune-related adverse eventsirAEsPD-1pneumonitissingle-cell RNA sequencingT cellsthyroiditis

Identifiers

PMID36513074
PMCPMC9873824

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.