ArticleFrontiers in immunology2021
Investigation of a Hypoxia-Immune-Related Microenvironment Gene Signature and Prediction Model for Idiopathic Pulmonary Fibrosis.
Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 35 citations in OpenAlex.
- A Nomogram Model for Early Mortality Risk Stratification in Elderly Patients with Idiopathic Pulmonary Fibrosis: An Integrative Analysis of Serum Biomarkers and Pulmonary Function Parameters.Journal of clinical medicine · 2026Article
- Reprogrammed Fibrotic Niche Fuels Lung Cancer Initiation and Reciprocal Remodeling.International journal of biological sciences · 2026Review
- Identification of diagnostic and prognostic phospholipid biomarkers in idiopathic pulmonary fibrosis via machine learning and in vivo validation.Human genomics · 2025Article
- Super-Enhancer Target Gene CBP/p300-Interacting Transactivator With Glu/Asp-Rich C-Terminal Domain, 2 Cooperates With Transcription Factor Forkhead Box J3 to Inhibit Pulmonary Vascular Remodeling.Cell proliferation · 2025Article
- Machine learning identifies lipid-associated genes and constructs diagnostic and prognostic models for idiopathic pulmonary fibrosis.Orphanet journal of rare diseases · 2025Article
- Machine learning unveils hypoxia-immune gene hub for clinical stratification of thyroid-associated ophthalmopathy.Scientific reports · 2025Article
- Exploring the Influence of Metabolic Changes in Fibrotic Lung Diseases.Pulmonary circulation · 2025Review
- CD4Frontiers in immunology · 2025Review
- Integrating cellular experiments, single-cell sequencing, and machine learning to identify endoplasmic reticulum stress biomarkers in idiopathic pulmonary fibrosis.Annals of medicine · 2024Article
- Prognostic Function and Immunologic Landscape of a Predictive Model Based on Five Senescence-Related Genes in IPF Bronchoalveolar Lavage Fluid.Biomedicines · 2024Article
- Development and validation of a novel model to predict pulmonary embolism in cardiology suspected patients: A 10-year retrospective analysis.Open medicine (Warsaw, Poland) · 2024Article
- Integrating machine learning with bioinformatics for predicting idiopathic pulmonary fibrosis prognosis: developing an individualized clinical prediction tool.Experimental biology and medicine (Maywood, N.J.) · 2024Article
- Investigation of a UPR-Related Gene Signature Identifies the Pro-Fibrotic Effects of Thrombospondin-1 by Activating CD47/ROS/Endoplasmic Reticulum Stress Pathway in Lung Fibroblasts.Antioxidants (Basel, Switzerland) · 2023Article
- A comprehensive cuproptosis score and associated gene signatures reveal prognostic and immunological features of idiopathic pulmonary fibrosis.Frontiers in immunology · 2023Article
- Article
- Identification of Immune Infiltration and the Potential Biomarkers in Diabetic Peripheral Neuropathy through Bioinformatics and Machine Learning Methods.Biomolecules · 2022Article
- Identification of Drug-Induced Liver Injury Biomarkers from Multiple Microarrays Based on Machine Learning and Bioinformatics Analysis.International journal of molecular sciences · 2022Article
- A novel seven-gene risk profile in BALF to identify high-risk patients with idiopathic pulmonary fibrosis.Journal of thoracic disease · 2022Article
- The oncogenic landscape of the idiopathic pulmonary fibrosis: a narrative review.Translational lung cancer research · 2022Review
- A Novel 5-Methylcytosine- and Immune-Related Prognostic Signature Is a Potential Marker of Idiopathic Pulmonary Fibrosis.Computational and mathematical methods in medicine · 2022Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
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Abstract
Background: There is growing evidence found that the role of hypoxia and immune status in idiopathic pulmonary fibrosis (IPF). However, there are few studies about the role of hypoxia and immune status in the lung milieu in the prognosis of IPF. This study aimed to develop a hypoxia-immune-related prediction model for the prognosis of IPF. Methods: Hypoxia and immune status were estimated with microarray data of a discovery cohort from the GEO database using UMAP and ESTIMATE algorithms respectively. The Cox regression model with the LASSO method was used for identifying prognostic genes and developing hypoxia-immune-related genes. Cibersort was used to evaluate the difference of 22 kinds of immune cell infiltration. Three independent validation cohorts from GEO database were used for external validation. Peripheral blood mononuclear cell (PBMC) and bronchoalveolar lavage fluid (BALF) were collected to be tested by Quantitative reverse transcriptase-PCR (qRT-PCR) and flow cytometry from 22 clinical samples, including 13 healthy controls, six patients with non-fibrotic pneumonia and three patients with pulmonary fibrosis. Results: Hypoxia and immune status were significantly associated with the prognosis of IPF patients. High hypoxia and high immune status were identified as risk factors for overall survival. CD8+ T cell, activated CD4+ memory T cell, NK cell, activated mast cell, M1 and M0 macrophages were identified as key immune cells in hypoxia-immune-related microenvironment. A prediction model for IPF prognosis was established based on the hypoxia-immune-related one protective and nine risk DEGs. In the independent validation cohorts, the prognostic prediction model performed the significant applicability in peripheral whole blood, peripheral blood mononuclear cell, and lung tissue of IPF patients. The preliminary clinical specimen validation suggested the reliability of most conclusions. Conclusions: The hypoxia-immune-based prediction model for the prognosis of IPF provides a new idea for prognosis and treatment.
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