Evidence map›Paper›PMID 42017567›Full record

ArticleJACC. CardioOncology2026

Myocardial Expression of PD-L1 as a Marker of Poor Prognosis in Immune Checkpoint Inhibitor-Associated Myocarditis.

Takuro Imaoka, Shingo Sakashita, Satoshi Matsuoka, Kimi Sato, Yoichi Naito, Genki Okumura, Shohei Koyama, Koji Hozawa, Yuka Nakamura, Yuma Shibutani and 3 more

Abstract read
In one paragraph

Article in JACC. CardioOncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

13 authors.

Takuro ImaokaDepartment of Cardiology, National Cancer Center Hospital East, Kashiwa, Japan; Doctoral Program in Medical Sciences, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan; Department of Medical Oncology, Institute of Medicine, University of Tsukuba, Tsukuba, Japan.
Shingo SakashitaDivision of Pathology, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Kashiwa, Japan.
Satoshi MatsuokaDepartment of Cardiology, New Tokyo Hospital, Matsudo, Japan.
Kimi SatoDepartment of Cardiology, Institute of Medicine, University of Tsukuba, Tsukuba, Japan.
Yoichi NaitoDepartment of Medical Oncology, National Cancer Center Hospital East, Kashiwa, Japan.
Genki OkumuraDivision of Cancer Immunology, Research Institute/Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Kashiwa, Japan.
Shohei KoyamaDivision of Cancer Immunology, Research Institute/Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Kashiwa, Japan.
Koji HozawaDepartment of Cardiology, New Tokyo Hospital, Matsudo, Japan.
Yuka NakamuraDivision of Pathology, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Kashiwa, Japan.
Yuma ShibutaniDepartment of Pharmacy, National Cancer Center Hospital East, Kashiwa, Japan.
Tomoko IshizuDepartment of Cardiology, Institute of Medicine, University of Tsukuba, Tsukuba, Japan.
Ikuo SekineDepartment of Medical Oncology, Institute of Medicine, University of Tsukuba, Tsukuba, Japan.
Kazuko TajiriDepartment of Cardiology, National Cancer Center Hospital East, Kashiwa, Japan; Tsukuba Life Science Innovation Program, School of Integrative and Global Majors, University of Tsukuba, Tsukuba, Japan. Electronic address: ktajiri@east.ncc.go.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmune checkpoint inhibitors (ICIs) have improved cancer outcomes but are associated with severe immune-related adverse events, including myocarditis. PD-L1 plays an important role in immune regulation and homeostasis. Myocardial PD-L1 up-regulation has been reported in ICI-associated myocarditis; however, its clinical significance and prognostic value remain unclear.

objectivesThis study sought to investigate the association between myocardial PD-L1 expression and ICI-associated myocarditis severity and prognosis.

methodsTwenty consecutive cases of biopsy-proven ICI-associated myocarditis were analyzed. Endomyocardial biopsy specimens underwent immunohistochemical staining for PD-L1, and patients were categorized into high (≥8%) or low (<8%) PD-L1 expression groups. Clinical presentation and the incidence of major adverse cardiotoxic events, defined as a composite of severe heart failure, severe arrhythmia, or cardiac death, were compared between groups.

resultsThe median follow-up time for the cohort was 189 days (Q1-Q3: 88-308 days). The absolute risk of 30-day major adverse cardiotoxic events was significantly higher in the high PD-L1 group (n = 5 of 7 [71.4%], 95% CI: 29.0%-96.3%) than in the low PD-L1 group (n = 1 of 13 [7.7%], 95% CI: 0.2%-36.0%; P = 0.007). The median peak normalized troponin level (× upper limit of normal) was significantly higher in the high PD-L1 group than in the low PD-L1 group (662 [Q1-Q3: 204-855] vs 64 [Q1-Q3: 26-108]; P = 0.010). Patients in the high PD-L1 group also had longer QRS duration on electrocardiography (124 ms [Q1-Q3: 108-131 ms] vs 96 ms [Q1-Q3: 90-102 ms]; P = 0.021). Myocardial inflammatory cell infiltration was greater in the high PD-L1 group, with higher CD3

conclusionsHigh myocardial PD-L1 expression is associated with greater disease severity and a higher risk of major adverse cardiotoxic events in ICI-associated myocarditis. Assessment of PD-L1 expression in endomyocardial biopsy specimens may help identify patients at high risk who may benefit from early intervention and closer monitoring.

Indexed as

cardio-oncologyendomyocardial biopsyheart failureimmune checkpoint inhibitorimmunotherapymyocarditisonco-cardiologyPD-L1

Identifiers

PMID42017567
PMCPMC13133651

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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.