Evidence map›Paper›PMID 39678889›Full record

ArticleJournal of thoracic disease2024

Establishment and validation of a prognostic model for idiopathic pulmonary fibrosis based on mitochondrial-related genes.

Xuewen Wang, Luqin Yang, Yuxuan Wang, Xinran Dou, Yonghao Li, Ke Wang, Huilan Zhang

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PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of thoracic disease, 2024. 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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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

7 authors.

Xuewen WangDepartment of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Key Cite of National Clinical Research Center for Respiratory Disease, Wuhan Clinical Medical Research Center for Chronic Airway Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China.
Luqin YangDepartment of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Key Cite of National Clinical Research Center for Respiratory Disease, Wuhan Clinical Medical Research Center for Chronic Airway Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China.
Yuxuan WangDepartment of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Key Cite of National Clinical Research Center for Respiratory Disease, Wuhan Clinical Medical Research Center for Chronic Airway Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China.
Xinran DouDepartment of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Key Cite of National Clinical Research Center for Respiratory Disease, Wuhan Clinical Medical Research Center for Chronic Airway Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China.
Yonghao LiDepartment of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Key Cite of National Clinical Research Center for Respiratory Disease, Wuhan Clinical Medical Research Center for Chronic Airway Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China.
Ke Wang *Department of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Key Cite of National Clinical Research Center for Respiratory Disease, Wuhan Clinical Medical Research Center for Chronic Airway Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China.
Huilan Zhang *Department of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Key Cite of National Clinical Research Center for Respiratory Disease, Wuhan Clinical Medical Research Center for Chronic Airway Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The prognosis for patients diagnosed with idiopathic pulmonary fibrosis (IPF) is exceedingly grim, and there are currently no pharmacological interventions available that effectively reduce mortality rates. Emerging evidence underscores the intimate connection between mitochondrial dysfunction and the onset and advancement of IPF. However, there remains a scarcity of prognostic models for assessing the risk associated with mitochondrial-related genes in IPF. This study aims to develop a comprehensive prognostic model for IPF that incorporates mitochondrial-related genes to enhance risk assessment and guide clinical decision-making. Methods: Two IPF-related microarray expression profiling datasets (GSE28042 and GSE70866) accompanied with survival data were acquired from the Gene Expression Omnibus (GEO) database. The "limma" R package was used to identify differentially expressed mitochondrial-related genes between normal samples and IPF samples. The prognostic model was constructed using univariate Cox regression, the least absolute shrinkage and selection operator (LASSO) Cox regression analyses, and multivariate Cox regression analysis. Multivariate independent prognostic analysis was conducted to ascertain whether the risk score could serve as an independent prognostic factor for predicting clinicopathological outcomes. A nomogram was employed to forecast the survival probability of IPF patients, providing valuable support for clinical decision-making processes. The CIBERSORT algorithm was utilized to examine discrepancies in immune cell infiltration within the model. The expression of genes screened from the prognostic model was validated in external data sets and western blot assays. Results: We developed a prognostic model for mitochondrial-related risks, incorporating Conclusions: In this study, the mitochondrial-related prognostic model incorporating

Indexed as

idiopathic pulmonary fibrosis (IPF)least absolute shrinkage and selection operator (LASSO)Mitochondriaprognostic model

Identifiers

PMID39678889
PMCPMC11635208

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