Evidence map›Paper›PMID 41299492›Full record

ArticleBMC pulmonary medicine2025

Serum CYFRA21-1 as a novel biomarker for predicting progressive pulmonary fibrosis in non-IPF interstitial lung disease, a cohort study.

Guoxin Zhang, Ming Sun, Hao Cao, Xi Chen, Hui Ma, Wei Jia

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2025. 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
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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Guoxin ZhangDepartment of Respiratory and Critical Care Medicine, Tianjin University Chest Hospital, Tianjin, China.
Ming SunDepartment of Respiratory and Critical Care Medicine, Tianjin University Chest Hospital, Tianjin, China.
Hao CaoDepartment of Respiratory and Critical Care Medicine, Tianjin University Chest Hospital, Tianjin, China.
Xi ChenDepartment of Respiratory and Critical Care Medicine, Tianjin University Chest Hospital, Tianjin, China.
Hui Ma *Department of Respiratory and Critical Care Medicine, Tianjin University Chest Hospital, Tianjin, China. mahuitj@tju.edu.cn.
Wei Jia *Department of Respiratory and Critical Care Medicine, Tianjin University Chest Hospital, Tianjin, China. jiaweimr@126.com.

Funding

Tianjin Key Medical Discipline Construction Project TJYXZDXK-3-032C
6 · The paper itself

Abstract

backgroundProgressive pulmonary fibrosis (PPF) represents a challenging phenotype of interstitial lung disease (ILD), characterised by functional deterioration and radiological progression despite treatment. The identification of reliable biomarkers to predict PPF remains a critical unmet need in clinical practice. This study aimed to investigate the predictive value of serum cytokeratin 19 fragment (CYFRA21-1) for PPF in patients with non-idiopathic pulmonary fibrosis (non-IPF) ILD.

methodsA retrospective cohort of 203 patients with non-IPF ILD were enrolled between January 2020 and December 2021 and followed for a median of 19 months. Baseline serum CYFRA21-1 levels were measured, and progression to PPF was defined according to the 2022 ATS clinical guideline. Associations between CYFRA21-1 levels and PPF risk were analysed using Cox proportional hazards models, and the optimal cut-off value was determined by receiver operating characteristic curve analysis.

resultsDuring follow-up, 48 patients (23.6%) developed PPF. Baseline CYFRA21-1 levels were significantly higher in the PPF group than in the non-PPF group (5.54 [4.36, 8.44] vs. 3.73 [2.63, 5.21] ng/mL, P < 0.001). Following variable selection via Least Absolute Shrinkage and Selection Operator (LASSO) regression, CYFRA21-1 was identified as an independent predictor of PPF in the multivariate Cox model (hazard ratio [HR] = 1.085, 95% confidence interval: 1.018-1.156, P = 0.013). The optimal cut-off value for CYFRA21-1 was determined to be 5.12 ng/mL (area under the curve = 0.712). Patients stratified by this cut-off (high vs. low CYFRA21-1) demonstrated significant differences in baseline lung function and computed tomography severity scores. Moreover, the high CYFRA21-1 group was associated with a substantially increased risk of PPF progression (HR = 3.803, P < 0.001).

conclusionsElevated serum CYFRA21-1 levels independently predict the development of PPF in patients with non-IPF ILD. It is correlated with impaired pulmonary function and radiographic severity. CYFRA21-1 may serve as a valuable biomarker for early risk stratification, supporting the need for validation in prospective multicentre studies.

Indexed as

Antigens, NeoplasmKeratin-19Lung Diseases, InterstitialPulmonary FibrosisAgedBiomarkersDisease ProgressionFemaleHumansMaleMiddle AgedPredictive Value of TestsProportional Hazards ModelsRetrospective StudiesROC Curveantigen CYFRA21.1Antigens, NeoplasmBiomarkersKeratin-19BiomarkerCYFRA21-1Non-IPF interstitial lung diseaseProgressive pulmonary fibrosisPulmonary function test

Identifiers

PMID41299492
PMCPMC12871034

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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.