Construction of ceRNA network for chronic obstructive pulmonary disease related with lung cancer based on proteomics
10.3969/j.issn.1673-4130.2024.11.004
- VernacularTitle:基于蛋白质组学的慢性阻塞性肺疾病相关肺癌的ceRNA网络构建
- Author:
Hongxia MA
1
,
2
;
Fengsen LI
Author Information
1. 新疆医科大学第四临床医学院,新疆乌鲁木齐 830000
2. 新疆医科大学第四附属医院呼吸科,新疆乌鲁木齐 830000
- Keywords:
lung cancer;
chronic obstructive pulmonary disease;
proteomics;
competitive endogenous RNA network
- From:
International Journal of Laboratory Medicine
2024;45(11):1295-1301
- CountryChina
- Language:Chinese
-
Abstract:
Objective To construct the competitive endogenous RNA(ceRNA)network of chronic ob-structive pulmonary disease(COPD)related lung cancer by proteomics combined with bioinformatics technol-ogy,and to explore the biological mechanism and potential core therapeutic targets of the two diseases.Methods The clinical specimens of patients with COPD related lung cancer and patients with lung cancer were collected for proteomics analysis.The differentially expressed genes in COPD related lung cancer were screened and the protein interaction network(PPI)was constructed,and the above differentially expressed genes were enriched.The key genes of COPD related lung cancer were screened and verified in the gene ex-pression omnibus(GEO)database.Finally,the microRNA(miRNA)and long non-coding RNA(lncRNA)of differential proteins were predicted to construct the ceRNA network based on COPD related lung cancer.Re-sults The results of proteomics analysis showed that 211 differentially expressed proteins were down-regula-ted and 168 differentially expressed proteins were up-regulated.A total of 379 differentially expressed proteins were obtained and used to construct PPI.The COPD related microarray was searched in GEO database,and the results showed that a total of 929 differentially expressed genes were screened in GSE103174 dataset.A to-tal of 13 605 lung cancer related differentially expressed genes were obtained from GSE43346 dataset.Two COPD related lung cancer genes,OASL and ROGDI,were obtained by intersection of the above results with the previous proteomics analysis results.The receiver operating characteristic curve was used to analyze the di-agnostic value of OASL and ROGDI in lung cancer and COPD.The results showed that the area under the curve was 0.784,0.731,0.688 and 0.785,respectively,and the differences were statistically significant(P＜0.05).The lncRNA-miRNA-gene related ceRNA network of COPD-lung cancer was constructed.Conclusion OASL and ROGDI may be used as important biomarkers for the diagnosis and treatment of COPD-related lung canc-er.In addition,the constructed ceRNA network provides a new direction for further research on this disease.
