Department of Occupational Hygiene, School of Public Health and Management, Healthy Shandong Collaborative Innovation Center for Major Social Risk Prediction and Governance, Weifang Medical University, 7166 Baotong West Street, Weifang, 261024, China.
Department of Occupational and Environmental Health, School of Public Health, Zhengzhou University, 100 Science Avenue, Zhengzhou, 450001, China.
Respir Res. 2018 Nov 29;19(1):235. doi: 10.1186/s12931-018-0949-y.
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.
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.
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(1.332.30)), while patient survival time was unaffected by expression of IGF1R (HR (95%CI) = 1.15 (0.981.36)).
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.
无论是慢性还是急性暴露于粉尘颗粒都可能导致尘肺病和肺癌,而诊断为尘肺病的患者的肺癌死亡率正在上升。本研究利用全基因组测序技术,旨在寻找降低因肺癌导致尘肺病患者死亡人数的方法。
共招募了 154 名受试者,包括 54 名尘肺病患者和 100 名健康对照者。从每位受试者的静脉血中分离出外泌体。使用高通量测序技术鉴定出具有显著差异的 miRNA,通过生物信息学分析预测与肺癌相关的靶基因及其对应的生物学功能。此外,还研究了与肺癌相关基因在跨癌症中的改变,并对 2437 例平均随访时间为 49 个月的样本进行了生存分析。
在尘肺病中,Let-7a-5p 下调了 21.67%。通过生物信息学分析,从 683 个 Let-7a-5p 靶基因中鉴定出了与五个信号通路相关的四个与肺癌发生有关的靶基因。然后在 4105 例肺癌患者中探索了这四个靶基因的改变,发现 BCL2L1 和 IGF1R 存在异常表达。生存分析进一步表明,BCL2L1 表达水平高与肺癌患者生存时间缩短相关(HR(95%CI)=1.75(1.332.30)),而 IGF1R 的表达与患者生存时间无关(HR(95%CI)=1.15(0.981.36))。
在肺腺癌患者中,外泌体 Let-7a-5p 同时下调和 BCL2L1 表达上调可作为预测生存不良的有用生物标志物。