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Downregulation of exosomal let-7a-5p in dust exposed- workers contributes to lung cancer development

Authors :
Lin Zhang
Changfu Hao
Ruonan Zhai
Di Wang
Jianhui Zhang
Lei Bao
Yiping Li
Wu Yao
Source :
Respiratory Research, Vol 19, Iss 1, Pp 1-8 (2018)
Publication Year :
2018
Publisher :
BMC, 2018.

Abstract

Abstract Background Either chronic or acute exposure to dust particles may lead to pneumoconiosis and lung cancer, and lung cancer mortality among patients diagnosed with pneumoconiosis is increasing. Utilizing genome-wide sequencing technology, this study aimed to identify methods to decrease the number of patients with pneumoconiosis who die from lung cancer. Methods One hundred fifty-four subjects were recruited, including 54 pneumoconiosis patients and 100 healthy controls. Exosomes were isolated from the venous blood of every subject. Distinctive miRNAs were identified using high throughput sequencing technology, and bioinformatics analysis predicted target genes involved in lung cancer as well as their corresponding biological functions. Moreover, cross-cancer alterations of genes related to lung cancer were investigated, and survival analysis was performed using 2437 samples with an average follow-up period of 49 months. Results Let-7a-5p was revealed to be downregulated by 21.67% in pneumoconiosis. Out of the 683 let-7a-5p target genes identified from bioinformatics analysis, four genes related to five signaling pathways were confirmed to be involved in lung cancer development. Alterations in these four target genes were then explored in 4105 lung cancer patients, and BCL2L1 and IGF1R were demonstrated to be aberrantly expressed. Survival analysis further revealed that high expression of BCL2L1 corresponded to reduced survival of lung cancer patients (HR (95%CI) = 1.75(1.33~2.30)), while patient survival time was unaffected by expression of IGF1R (HR (95%CI) = 1.15 (0.98~1.36)). Conclusions In patients with lung adenocarcinoma, simultaneous downregulation of exosomal let-7a-5p and elevated expression of BCL2L1 are useful as predictive biomarkers for poor survival.

Details

Language :
English
ISSN :
1465993X
Volume :
19
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Respiratory Research
Publication Type :
Academic Journal
Accession number :
edsdoj.6e6dd01819174b8da9349464b4a98bb6
Document Type :
article
Full Text :
https://doi.org/10.1186/s12931-018-0949-y