Identification of Hub Genes in Idiopathic Pulmonary Fibrosis and NSCLC Progression:Evidence From Bioinformatics Analysis

被引:9
|
作者
Yao, Yuanshan [1 ]
Li, Zheng [1 ]
Gao, Wen [1 ]
机构
[1] Fudan Univ, Dept Thorac Surg, Shanghai Key Lab Clin Geriatr Med, HuaDong Hosp, Shanghai, Peoples R China
关键词
hub genes; idiopathic pulmonary fibrosis; lung cancer progression; bioinformatics analysis; pathways; LUNG-CANCER CELLS; PROMOTES; PATHOGENESIS; FIBROBLASTS; BIOMARKER; IPF;
D O I
10.3389/fgene.2022.855789
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background: Lung cancer is the most common comorbidity of idiopathic pulmonary fibrosis. Thus there is an urgent need for the research of IPF and carcinogenesisObjective: The objective of this study was to explore hub genes which are common in pulmonary fibrosis and lung cancer progression through bioinformatic analysis.Methods: All the analysis was performed in R software. Differentially expressed genes (DEGs) were explored by comparing gene expression profiles between IPF tissues and healthy lung tissues from GSE24206, GSE53845, GSE101286 and GSE110147 datasets. Venn Diagram analysis was used to identify the overlapping genes, while GO and KEGG pathway enrichment analysis were used to explore the biological functions of the DEGs using clusterprofiler package. Hub genes were identified by analyzing protein-protein interaction networks using Cytoscape software. Nomogram was constructed using the rms package. Tumor immune dysfunction and exclusion (TIDE) and Genomics of Drug Sensitivity in Cancer (GDSC) analysis was used to quantify the immunotherapy and chemotherapy sensitivity of non-small cell lung cancer (NSCLC) patients.Results: COL1A1, COL3A1, MMP1, POSTN1 and TIMP3 were identified as the top five hub genes. The five hub genes were used to construct a diagnostic nomogram that was validated in another IPF dataset. Since the hub genes were also associated with lung cancer progression, we found that the nomogram also had diagnostic value in NSCLC patients. These five genes achieved a statistically difference of overall survival in NSCLC patients (p < 0.05). The expression of the five hub genes was mostly enriched in fibroblasts. Fibroblasts and the hub genes also showed significant ability to predict the susceptibility of NSCLC patients to chemotherapy and immunotherapy.Conclusion: We identified five hub genes as potential biomarkers of IPF and NSCLC progression. This finding may give insight into the underlying molecular mechanisms of IPF and lung cancer progression and provides potential targets for developing new therapeutic agents for IPF patients.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Identification of Crucial Hub Genes and Differential T Cell Infiltration in Idiopathic Pulmonary Arterial Hypertension Using Bioinformatics Strategies
    Yang, Xiaomei
    Wang, Cheng
    Lin, Yicheng
    Zhang, Peng
    FRONTIERS IN MOLECULAR BIOSCIENCES, 2022, 9
  • [42] Identification and Validation of Aging-Related Genes in Idiopathic Pulmonary Fibrosis
    He, Jie
    Li, Xiaoyan
    FRONTIERS IN GENETICS, 2022, 13
  • [43] Identification of potential hub genes related to the progression and prognosis of hepatocellular carcinoma through integrated bioinformatics analysis
    Song, Xiudao
    Du, Rao
    Gui, Huan
    Zhou, Mi
    Zhong, Wen
    Mao, Chenmei
    Ma, Jin
    ONCOLOGY REPORTS, 2020, 43 (01) : 133 - 146
  • [44] Identification of Hub Genes in Type 2 Diabetes Mellitus Using Bioinformatics Analysis
    Lin, YiXuan
    Li, Jinju
    Wu, Di
    Wang, FanJing
    Fang, ZhaoHui
    Shen, GuoMing
    DIABETES METABOLIC SYNDROME AND OBESITY-TARGETS AND THERAPY, 2020, 13 : 1793 - 1801
  • [45] Identification and Analysis of Key Immune- and Inflammation-Related Genes in Idiopathic Pulmonary Fibrosis
    Tan, Yan
    Qian, Baojiang
    Ma, Qiurui
    Xiang, Kun
    Wang, Shenglan
    JOURNAL OF INFLAMMATION RESEARCH, 2025, 18 : 1993 - 2009
  • [46] Integrative Analysis of miRNA-mRNA Networks in Idiopathic Pulmonary Fibrosis by Bioinformatics Analysis
    Liu, Yong-Ming
    Liang, Yuan-Yu
    Zang, Ning-Zi
    Zhu, Ling-Yun
    Wang, Lin-Lin
    Yang, Li
    Wang, Tian-Jiao
    Jiao, Rui
    Xie, Si-Meng
    Liu, Yan-Tong
    Pang, Li-Jian
    Lv, Xiao-Dong
    JOURNAL OF BIOLOGICAL REGULATORS AND HOMEOSTATIC AGENTS, 2022, 36 (39) : 635 - 646
  • [47] Identification of potential hub genes associated with the pathogenesis and prognosis of hepatocellular carcinoma via integrated bioinformatics analysis
    Meng, Ziqi
    Wu, Jiarui
    Liu, Xinkui
    Zhou, Wei
    Ni, Mengwei
    Liu, Shuyu
    Guo, Siyu
    Jia, Shanshan
    Zhang, Jingyuan
    JOURNAL OF INTERNATIONAL MEDICAL RESEARCH, 2020, 48 (07)
  • [48] Identification of diagnostic gene biomarkers related to immune infiltration in patients with idiopathic pulmonary fibrosis based on bioinformatics strategies
    Dai, Xiangdong
    Yang, Zhihua
    Zhang, Wenjing
    Liu, Shuai
    Zhao, Qianru
    Liu, Tao
    Chen, Lu
    Li, Lin
    Wang, Yi
    Shao, Rui
    FRONTIERS IN MEDICINE, 2022, 09
  • [49] Study on Potential Differentially Expressed Genes in Idiopathic Pulmonary Fibrosis by Bioinformatics and Next-Generation Sequencing Data Analysis
    Giriyappagoudar, Muttanagouda
    Vastrad, Basavaraj
    Horakeri, Rajeshwari
    Vastrad, Chanabasayya
    BIOMEDICINES, 2023, 11 (12)
  • [50] Identification of novel hub genes associated with lymph node metastasis of head and neck squamous cell carcinoma by completive bioinformatics analysis
    Lu, Honglue
    Li, Liang
    Sun, Dongnan
    Duan, Yuansheng
    Yue, Kai
    Wu, Yansheng
    Wang, Xudong
    ANNALS OF TRANSLATIONAL MEDICINE, 2021, 9 (22)