Evidence map›Paper›PMID 42065218›Full record

ArticleThoracic cancer2026

Programmed Death-Ligand 1 Expression Predicts Poor Prognosis in Patients With Early-Stage Non-Small-Cell Lung Cancer Undergoing Stereotactic Body Radiotherapy.

Jongmoo Park, Ji Woon Yea, Jae Won Park, Yoon Young Jo, Se An Oh, Jaehyeon Park

Abstract read
In one paragraph

Article in Thoracic cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jongmoo ParkDepartment of Radiation Oncology, School of Medicine, Kyungpook National University, Daegu, South Korea.
Ji Woon YeaDepartment of Radiation Oncology, Yeungnam University College of Medicine, Daegu, South Korea.
Jae Won ParkDepartment of Radiation Oncology, Yeungnam University College of Medicine, Daegu, South Korea.
Yoon Young JoDepartment of Radiation Oncology, Yeungnam University College of Medicine, Daegu, South Korea.
Se An OhDepartment of Radiation Oncology, Yeungnam University College of Medicine, Daegu, South Korea.
Jaehyeon ParkDepartment of Radiation Oncology, Yeungnam University College of Medicine, Daegu, South Korea.ORCID https://orcid.org/0000-0003-2546-4808

Funding

Yeungnam University 223A480018
6 · The paper itself

Abstract

backgroundStereotactic body radiotherapy (SBRT) is the standard treatment for medically inoperable early-stage, non-small-cell lung cancer (NSCLC). Programmed death-ligand 1 (PD-L1) is a well-known biomarker for predicting immunotherapy responses; however, its prognostic significance in early-stage NSCLC treated with SBRT remains unclear. Here, we evaluated the prognostic significance of PD-L1 expression in this setting.

methodsWe retrospectively analyzed patients with early-stage NSCLC who underwent SBRT. PD-L1 expression was assessed using the SP263 immunohistochemistry assay and quantified by tumor proportion score. We evaluated the prognostic impact of PD-L1 as a continuous variable and used an exploratory 2% cutoff derived from receiver operating characteristic analysis. Clinical outcomes, including local recurrence-free survival (LRFS), recurrence-free survival (RFS), disease-free survival (DFS), and overall survival (OS), were compared. Cox proportional hazards models were used for multivariable analysis.

resultsA total of 54 patients were included. SBRT achieved a 2-year LRFS rate of 98%. As a continuous variable, higher PD-L1 expression was independently associated with inferior RFS (hazard ratio (HR): 1.07, p < 0.01), DFS (HR: 1.06, p < 0.01), and OS (HR: 1.04, p < 0.01). The PD-L1-positive group had a higher incidence of regional recurrence (30.0% vs. 5.9%, p = 0.041). The exploratory 2% cutoff identified a subgroup with significantly worse survival in univariable analyses, although it did not retain independent significance in the multivariable analysis.

conclusionsPD-L1 expression is independently associated with worse survival outcomes in patients with early-stage NSCLC treated with SBRT, indicating its potential as a prognostic biomarker for risk stratification.

Indexed as

B7-H1 AntigenCarcinoma, Non-Small-Cell LungLung NeoplasmsRadiosurgeryAgedAged, 80 and overBiomarkers, TumorFemaleHumansMaleMiddle AgedNeoplasm StagingPrognosisRetrospective StudiesB7-H1 AntigenBiomarkers, TumorCD274 protein, humannon‐small‐cell lung cancerprogrammed death‐ligand 1stereotactic body radiotherapy

Identifiers

PMID42065218
PMCPMC13133705

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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.