The action mechanism in which circular RNA (circ) SMARCA5 targeted nasopharyngeal carcinoma (NPC) cell proliferation, migration, invasion, and apoptosis via microRNA (miR)-582-3p/phosphatase and tensin homolog (PTEN) axis was explored. The examination was performed via reverse transcription-quantitative polymerase chain reaction (RT-qPCR), discovering that circSMARCA5 was elevated while miR-582-3p was silenced in NPC tissues and cells. E-cadherin and N-cadherin were detected. The results illustrated transfection with si-circSMARCA5 or miR-582-3p-mimic was available to repress cancer cell advancement, and E-cadherin was augmented. Transfection with pcDNA 3.1-circSMARCA5 or miR-582-3p-inhibitor was available to accelerate cancer cell advancement, and N-cadherin was augmented. MiR-582-3p-inhibitor blocked the suppression of si-circSMARCA5 on NPC. The si-PTEN blocked the malignant behavior of pcDNA 3.1-circSMARCA5 against NPC. The binding sites between circSMARCA5 and miR-582-3p and between miR-582-3p and PTEN were verified. Linear analysis results illuminated the expression pattern of circSMARCA5 was opposite to miR-582-3p, while the expression pattern of circSMARCA5 was positively associated with PTEN. In brief, the results of the research clarified circSMARCA5 modulated NPC cells’ vital movement via the miR-582-3p/PTEN molecular axis.

Purpose: To develop a tumor microenvironment (TME) related genes based prognostic model for laryngeal cancer patients risk prediction. Methods: A innovative prognosic model was generated based on TME related genes (760 genes). Based on the model, laryngeal cancer patients were categoried into high and low-risk group. The immune status including immune cell infiltration ratio as well as checkpoints have been exploreds.Results: It can be shown here 15 genes demonstrate significant differences, which can better predict laryngeal cancer patient prognosis. The accuracy of the model prediction is evaluated and approved by the AUC value. From the immune cell infiltration ratio analysis, there is a significant difference in the infiltration degree of several types of immune cells and 6 immune checkpoints between high and low-risk laryngeal cancer patients. At the same time, the close related genes as well as TME pathways have been also investigated.Conclusion: This study has explored a potential prognostic biomarker and developed a novel TME-associated prognostic model for laryngeal cancer, which provides a valuable reference for future clinical research.

Purpose: To develop a tumor microenvironment (TME) related genes based prognostic model for laryngeal cancer patients risk prediction. Methods: A innovative prognosic model was generated based on TME related genes (760 genes). Based on the model, laryngeal cancer patients were categoried into high and low-risk group. The immune status including immune cell infiltration ratio as well as checkpoints have been exploreds. Results: It can be shown here 15 genes demonstrate significant differences, which can better predict laryngeal cancer patient prognosis. The accuracy of the model prediction is evaluated and approved by the AUC value. From the immune cell infiltration ratio analysis, there is a significant difference in the infiltration degree of several types of immune cells and 6 immune checkpoints between high and low-risk laryngeal cancer patients. At the same time, the close related genes as well as TME pathways have been also investigated. Conclusion: This study has explored a potential prognostic biomarker and developed a novel TME-associated prognostic model for laryngeal cancer, which provides a valuable reference for future clinical research.