Evidence map›Paper›PMID 42311662›Full record

ArticleFrontiers in immunology2026

HLA-DRB3/4/5-based susceptibility profiles in nivolumab-induced type 1 diabetes and interstitial lung disease.

Shinpei Nishikido, Hiroyuki Mishima, Koh-Ichiro Yoshiura, Noriho Sakamoto, Hiroshi Ishimoto, Shimpei Morimoto, Ichiro Horie, Satoru Akazawa, Ai Haraguchi, Hiromasa Tsujiguchi and 6 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 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. Article
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

16 authors.

Shinpei NishikidoDepartment of Endocrinology and Metabolism, Nagasaki University Hospital, Nagasaki, Japan.
Hiroyuki MishimaDepartment of Human Genetics and Leading Medical Research Core Unit, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Koh-Ichiro YoshiuraDepartment of Human Genetics and Leading Medical Research Core Unit, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Noriho SakamotoDepartment of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Hiroshi IshimotoDepartment of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Shimpei MorimotoClinical Research Center, Nagasaki University Hospital, Nagasaki, Japan.
Ichiro HorieDepartment of Endocrinology and Metabolism, Nagasaki University Hospital, Nagasaki, Japan.
Satoru AkazawaDepartment of Endocrinology and Metabolism, Nagasaki University Hospital, Nagasaki, Japan.
Ai HaraguchiDepartment of Endocrinology and Metabolism, Nagasaki University Hospital, Nagasaki, Japan.
Hiromasa TsujiguchiDepartment of Hygiene and Public Health, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan.
Akinori HaraDepartment of Hygiene and Public Health, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan.
Atsushi TajimaDepartment of Bioinformatics and Genomics, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, Kanazawa, Japan.
Kazuyoshi HosomichiLaboratory of Computational Genomics, School of Life Science, Tokyo University of Pharmacy and Life Sciences, Tokyo, Japan.
Hiroshi MukaeDepartment of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Atsushi KawakamiDepartment of Immunology and Rheumatology, Division of Advanced Preventive Medical Science, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Norio AbiruDivision of Advanced Preventive Medical Science, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) can induce severe immune-related adverse events (irAEs), including type 1 diabetes (ICI-T1D) and interstitial lung disease (ICI-ILD); however, predictive genetic markers have not yet been fully elucidated. Accordingly, this study aimed to identify genetic polymorphisms associated with susceptibility to nivolumab-induced ICI-T1D and ICI-ILD. To address this, whole-genome sequencing using next-generation sequencing was performed on genomic DNA obtained from patients recruited from multiple centers nationwide who developed ICI-T1D (n = 14), ICI-ILD (n = 58), or no irAEs (ICI-Control, n = 72) after initiation of nivolumab therapy, followed by a genome-wide association study (GWAS). The primary GWAS identified an association signal within the HLA region on chromosome 6 in the comparison between the ICI-T1D and ICI-Control groups, whereas no significant associations were detected in analyses involving the ICI-ILD group. This signal was accompanied by an increased rate of missing genotypes, most prominently around the HLA-DRB5 locus, suggesting underlying structural and haplotypic complexity within the HLA-DR region that cannot be fully resolved by reference genome-based short-read analysis alone, leading to a

Indexed as

Diabetes Mellitus, Type 1Genetic Predisposition to DiseaseHLA-DR4 AntigenHLA-DRB3 ChainsHLA-DRB4 ChainsHLA-DRB5 ChainsImmune Checkpoint InhibitorsLung Diseases, InterstitialAdultFemaleGenome-Wide Association StudyHumansMaleMiddle AgedPolymorphism, Single NucleotideHLA-DR4 AntigenHLA-DRB3 ChainsHLA-DRB4 ChainsHLA-DRB5 ChainsImmune Checkpoint Inhibitorsgenome-wide association studyHLA class IIHLA-DRB3/4/5immune checkpoint inhibitorimmune-related adverse eventsinterstitial lung diseasetype 1 diabetes

Identifiers

PMID42311662
PMCPMC13269219

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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.