ArticleJournal of thoracic disease2025
Bioinformatics and experimental animal model reveal the prognostic value of immunogenic cell death-related proteins in idiopathic pulmonary fibrosis.
Article in Journal of thoracic disease, 2025. 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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Abstract
Background: Immunogenic cell death (ICD) is a type of regulated cell death (RCD) that activates adaptive immune responses and shapes the immune microenvironment. Its role in idiopathic pulmonary fibrosis (IPF), a progressive and fatal lung disease, remains unclear. This study aims to identify ICD-related gene signatures and evaluate their prognostic value in IPF through bioinformatic analysis and experimental validation. Methods: Gene expression profiles and clinical data from 176 IPF patients and 20 healthy controls were obtained from the GSE70866 dataset. A set of 34 ICD-related genes was curated from literature. Differential expression analysis, univariate Cox regression, and least absolute shrinkage and selection operator (LASSO)-penalized Cox regression were used to identify prognostic genes and construct a risk model. The model was validated internally and using an independent cohort (GSE70867). Immune cell infiltration was assessed via CIBERSORT. Expression of identified genes was further validated in a bleomycin-induced pulmonary fibrosis mouse model using quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) and Western blot. Results: Ten ICD-related genes were differentially expressed in IPF patients and associated with prognosis. A three-gene prognostic signature ( Conclusions: We developed and validated a novel ICD-related gene signature capable of predicting prognosis in IPF patients. The three-gene risk model may serve as a promising tool for risk stratification and personalized treatment planning in IPF.
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