Evidence map›Paper›PMID 41080561›Full record

ArticleFrontiers in immunology2025

Exosomal miRNA-148b/301a/423 cluster predicts pneumonitis risk in NSCLC with concurrent radiotherapy with immunotherapy via PTPN14-YAP signaling: a retrospective cohort study.

Jiaming Cao, Jiaqi Zhang, Wenbo Zhao, Baosen Zhou, Chang Zheng

Abstract read
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Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jiaming Cao *Department of Clinical Epidemiology and Evidence-based Medicine, The First Hospital of China Medical University, Shenyang, China.
Jiaqi Zhang *Electrodiagnosis Department, Shenyang Fifth People Hospital, Shenyang, China.
Wenbo Zhao *Medical Laboratory Technology, School of Medicine, Hebei University of Engineering, Handan, China.
Baosen ZhouDepartment of Clinical Epidemiology and Evidence-based Medicine, The First Hospital of China Medical University, Shenyang, China.
Chang ZhengDepartment of Clinical Epidemiology and Evidence-based Medicine, The First Hospital of China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Radiotherapy (RT) combined with Immune checkpoint inhibitors (ICIs) significantly improve outcomes in non-small cell lung cancer (NSCLC), yet this combination amplifies treatment-related pneumonitis risk. The real-world incidence, predictive biomarkers, and underlying pathogenesis of RT-ICI-associated pneumonitis remain inadequately defined. Methods: We conducted a retrospective cohort study using electronic health records from 21,671 NSCLC patients treated with thoracic RT, categorized into RT-ICI (n=8,744) and RT-nonICI (n=12,927) groups after 1:1 propensity score matching. Pneumonitis was diagnosed via clinical/imaging criteria and infection exclusion. Incidence of pneumonitis was evaluated using propensity score-matched analysis, Kaplan-Meier curves, and Cox regression models. Subgroup analyses were performed across demographic and clinical variables. Serum exosomes from 20 patients underwent miRNA sequencing. LASSO regression for biomarker modeling, single-cell RNA-seq analysis and single-sample gene set enrichment analysis for function enrichment, then validated Results: The incidence of pneumonitis was significantly higher in the RT-ICI group (28.9%) compared to the RT-nonICI group (10.0%) (hazard ratio [HR]=2.86; 95% confidence interval [CI], 2.43-3.29; P<0.001). This elevated risk persisted across age, sex, BMI, comorbidities, and autoimmune status. We identified a serum exosomal miRNA cluster (miR-148b-3p, miR-301a-3p, miR-423-3p) predictive of pneumonitis and poor survival. These miRNAs directly co-target PTPN14, and crosstalk with fibrosis via TNF signal at the single-cell level. Then we validated the miRNA cluster suppressed PTPN14, activating YAP signal to promote EMT in pulmonary epithelial cell lines. Conclusions: RT-ICI therapy significantly increases pneumonitis risk in NSCLC, especially in autoimmune comorbidities. A serum exosomal miRNA cluster (miR-148b-3p/301a-3p/423-3p) enables early pneumonitis prediction and prognosis assessment, offering novel targets for prevention and monitoring.

Indexed as

Carcinoma, Non-Small-Cell LungExosomesLung NeoplasmsMicroRNAsPneumoniaProtein Tyrosine Phosphatases, Non-ReceptorAgedChemoradiotherapyFemaleHumansImmune Checkpoint InhibitorsMaleMiddle AgedRetrospective StudiesRisk FactorsSignal TransductionImmune Checkpoint InhibitorsMicroRNAsProtein Tyrosine Phosphatases, Non-ReceptorimmunotherapymiRNA clusternon-small cell lung cancerpneumonitisradiotherapy

Identifiers

PMID41080561
PMCPMC12511073

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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.