Zhenying Geng; Guoqing Zhang
Abstract
Background: Circular RNAs are involved in the tumorigenesis of various tumors, including Non-small cell lung cancer (NSCLC).Objective: To investigate the expression of circ_0001006 in patients with NSCLC and its role in tumorigenesis and immune escape.Methods: A total of 115 patients with NSCLC were ...
Read More
Background: Circular RNAs are involved in the tumorigenesis of various tumors, including Non-small cell lung cancer (NSCLC).Objective: To investigate the expression of circ_0001006 in patients with NSCLC and its role in tumorigenesis and immune escape.Methods: A total of 115 patients with NSCLC were enrolled in the study. The expression of circ_0001006 and PD-L1 mRNA were detected using RT-qPCR. Cell proliferation activity, cell migration and invasion abilities were measured using the CCK-8 assay and Transwell chambers assay. Coculture of NSCLC cells with CD8 cytotoxic T cells was conducted to measure the levels of INF-γ, TNF-α, IL-2, and lactate dehydrogenase release in culture supernatants. Bioinformatic analysis was used to predict the target relevance among circ_0001006, miR-320a, and PD-L1.Results: The circ_0001006 and PD-L1 mRNA levels were elevated in NSCLC tissues and cells. Patients with high levels of circ_0001006 had a shorter overall survival rate. Inhibiting circ_0001006 reduced the proliferation, migration, and invasion of NSCLC cells, while increasing PD-L1 partially counteracting the inhibitory effects of si-circ_0001006. The co-culture system of NSCLC and CD8+ T cell was found to reduce the viability of activated CD8+ T cell when circ_0001006 is present. Knocking down circ_0001006 in co-culture cells led to an increase in the expression of INF-γ, TNF-α, and IL-2. The ability of si-circ_0001006 to enhance the activation of CD8+ T cells was diminished when PD-L1 was overexpressed.Conclusion: circ_0001006 may serve as a potential prognostic predictor and therapeutic target for NSCLC. Additionally, it offers insight into a novel regulatory mechanism of circ_0001006.
Hongyan Xu; Yueqing Yang; Qianhong Wu; Yan Zhang
Abstract
Background: Patient immune status might be indicative of the variance in bacterial genetics in drug-resistant tuberculous pleuritis and could be used for predicting the risk of multi-drug resistant tuberculous pleuritis (MDR-TB). Objective: To determine the significance of Th2/Th1 ratio and concentration ...
Read More
Background: Patient immune status might be indicative of the variance in bacterial genetics in drug-resistant tuberculous pleuritis and could be used for predicting the risk of multi-drug resistant tuberculous pleuritis (MDR-TB). Objective: To determine the significance of Th2/Th1 ratio and concentration of PD-L1 in the pleural effusions for prediction of MDR-TB. Methods: We measured the ratio of Th2 to Th1 T cells from pleural effusions in 373 tuberculous pleuritis patients. We also measured the concentration of programmed death ligand-1 (PD-L1) in the pleural effusions of these patients. Afterwards, we determined the optimal cut-off value for predicting the occurrence of multi-drug resistant tuberculous based on the Youden index, diagnostic evaluation test, and receiver operation curve. Multiple logistic analysis was employed to identify the independent risk factors for MDR-TB occurrence. Results: The area under the curve (AUC) of the Th2 to Th1 ratio was 0.66 and the concentration of PD-L1 was 0.71. Based on the combined detection of PD-L1 concentration in pleural effusion and the Th2 to Th1 ratio, our AUC was 0.81 and had a specificity of 0.92. Only a combined detection was able to identify patients developing multidrug-resistant tuberculosis. Multiple logistic analysis showed that a high concentration of PD-L1 and a high Th2 to Th1 T ratio in pleural effusions were indicative of an immunocompromised status. Therefore, these measurements might be independent risk factors for the occurrence of multidrug-resistant tuberculous. Conclusion: Evaluation of immune status based on PD-L1 pleural concentration and Th2 to Th1 ratio might predict the risk of MDR-TB occurrence.
Zeinab Rajabian; Farzad Kalani; Saeid Taghiloo; Mohsen Tehrani; Alireza Rafiei; Zahra Hosseini-khah; Vahid Hosseini; Abolghasem Ajami