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Background. Almost all cells are capable of secreting exosomes (Exos) for intercellular communication and regulation. Therefore, Exos can be used as a natural therapeutic platform to regulate genes or deliver drugs to treat diseases. M1 macrophages inhibit tumor growth by releasing pro-inflammatory factors. This study explored the applicability of M1 macrophage exosomes (M1-Exos) as gene carriers and the effects on GNG5 protein, and further examined whether macrophage repolarization could inhibit tumor activity. Methods. M0 macrophages were polarized toward M1 using vitexin. Exos were obtained from M1 macrophages by ultra-centrifugation. The transwell non-contact co-culture system was used to co-culture M1 macrophages with HLF-α human lung epithelial cells or A549 or H1299 lung cancer cells. MTT, scratch, and transwell assays were used to detect the cell viability, migration, and invasion ability of cells in the four groups. Flow cytometry was used to detect the apoptosis rate of each group, and western blot (WB) analysis was performed to detect the change in the expression of proliferation- and apoptosis-related proteins. We screened the differentially expressed microRNAs using quantitative polymerase chain reaction technology. Luciferase reporter analysis was performed to explore the interaction between miRNA and protein. We used Xenografted A549 tumors in nude mice to study the effect of M1-Exos on tumor cell growth in vivo. Results. The results showed that, under the M1 macrophage co-culture system, lung cancer cell viability, invasion, and migration ability decreased, and the number of apoptotic cells increased, will all indicators being statistically significant (P < 0:05). The expression levels of PCNA, KI67, and Bcl-2 decreased significantly, but that of Bax increased (P < 0:05). Exosomes can have the same effect on tumor cells as M1 macrophages. Exosomes can transport miR-let-7b-5p to tumor cells, and miR-let-7b-5p can inhibit tumor cell proliferation and promote tumor cell apoptosis by regulating the GNG5 protein level. Conclusions. M1-Exos inhibit the proliferation, invasion, and metastasis of lung cancer cells through miRNA-let-7b-5p and GNG5 signaling pathways and inhibit the anti-apoptotic ability of lung cancer cells. [ABSTRACT FROM AUTHOR]

Objective: This study was set out to inquire into the expression and clinical significance of lncRNA activated by transforming growth factor ß (LncRNA-ATB) and in cancer tissues of patients with non-small cell lung cancer (NSCLC). Methods: LncRNA-ATB in cancer tissues and adjacent tissues of 89 NSCLC patients was detected by quantitative real-time polymerase chain reaction (qRT-PCR), and its clinical diagnostic value in NSCLC was determined by receiver operating characteristic (ROC) curves. Based on the median expression of LncRNAATB in NSCLC tissues, 89 patients were allocated into high- and low-expression groups. The 3-year survival rate was calculated using Kaplan-Meier method and logrank test, and compared between lncRNA-ATB high and low expression groups by Log-rank test. Cox regression quantitatively analyzed the correlation between lncRNA-ATB and the clinical prognosis of NSCLC patients. Results: LncRNAATB presented notably higher expression in NSCLC tissues as compared to adjacent tissues (P < 0.05), and was linked to smoking history, TNM stage and greatest tumor diameter (GTD) (P < 0.05). The cut-off value, sensitivity and specificity, as well as the area under the curve (AUC) of NSCLC diagnosed by LncRNA-ATB were 2.103, 73.77%, 83.15% and 0.836, respectively. Patients with high lncRNA-ATB expression (40.00%) showed statistically lower than those with low lncRNA-ATB expression (63.36%). TNM stage, differentiation degree and lncRNA-ATB expression were independent variables affecting patient prognosis. Conclusions: LncRNA-ATB, with increased expression profiles in NSCLC tissues, is involved in NSCLC progression and associated with unfavourable prognosis of patients, which can be a plausible tumor marker for NSCLC patients. [ABSTRACT FROM AUTHOR]

Increasing evidence has shown that microRNA (miRNA) is extensively involved in the pathophysiology of lung cancer. Microarray data demonstrated the increasing levels of miR-19a in the peripheral blood from patients suffering from lung cancer, which is closely associated with poor prognosis of lung cancer. However, the underlying molecular mechanism of miR-19a remains to be determined. The results of the present study showed a higher expression of miR-19a compared with normal bronchial epithelial cells. Furthermore, lentivirus vectors were constructed to establish cell lines that overexpressed and knocked out miR-19a in order to study the role of miR-19a on the metastasis and proliferation of lung cancer cells. Investigation into the underlying mechanism of miR-19a, revealed that MXD1 may be the key gene targeting miR-19a, participating in the process of proliferation and metastasis of lung cancer cells. [ABSTRACT FROM AUTHOR]

Objectives: MicroRNA (miRNA)-related single-nucleotide polymorphisms (SNPs) in miRNA processing machinery genes can affect cancer risk, treatment efficacy, and patient prognosis. A miR-SNP of rs11077 located in the 3' untranslated region (3' UTR) of the miRNA processing machinery gene XPO5 was examined in 112 advanced non-small-cell lung cancer (NSCLC) patients to evaluate its association with cancer outcome. Materials and methods: The miR-SNP was genotyped with ligase detection reaction method. Survival curves were calculated using the Kaplan-Meier method, and multivariate survival analysis was performed using a Cox proportional hazards model. Results: The AC genotype of rs11077, which carries C or A allele, was significantly associated with a better chemotherapy response (P = 0.001). In addition, rs11077 was independently associated with overall survival in advanced NSCLC patients through multivariate analysis (relative risk 0.457; 95% confidence interval: 0.251-0.831; P = 0.010). Conclusion: rs11077 was associated with chemotherapy response and survival of advanced NSCLC patients. The analysis of miR-SNPs in miRNA processing machinery genes can help identify patient subgroups that are at high risk for poor disease outcomes. [ABSTRACT FROM AUTHOR]