Background. Despite increasing understanding of m6A-related lncRNAs in lung cancer, the role of m6A-related lncRNAs in the prognosis and treatment of lung squamous cell carcinoma is poorly understood to date. Thus, the current study aims to elucidate its role and build a model to predict the prognosis of LUSC patients. Materials and Methods. The data of the current study were accessed from the TCGA database. Pearson correlation analysis was performed to identify lncRNAs correlated to m6A. Next, an m6A-related lncRNAs risk model was built using a single factor, least absolute association, selection operator, and multivariate Cox regression analysis. Results. The relevance between 23 m6A genes and 14,056 lncRNAs is shown by Pearson correlation analysis by Sankey diagram. Multivariate Cox regression analysis determined that 11 m6A-lncRNAs show predictive potential in prognosis, which is confirmed by the consistency index, Kaplan–Meier analysis, principal component analysis, and ROC curve. Additionally, the immune analysis showed that the enrichment of immune cells, major histocompatibility complex molecules, and immune checkpoints in the high and low-risk subgroups were markedly disparate, with the high-risk group showing a stronger immune escape ability and a worse response to immunotherapy. Conclusion. In conclusion, the risk model based on m6A-related lncRNAs showed great promise in predicting the prognosis and the efficacy of immunotherapy.
Background:
This study is part of a larger research effort to explore the molecular mechanism of hepatocellular carcinoma, reduce drug resistance and seek new targets.
Objective:
To investigate the effect and mechanism of fibroblast growth factor receptor inhibitor AZD4547 on Sorafenib-resistant hepatoma cells.
Methods:
First we constructed a Sorafenib-resistant hepatoma cell line Huh7R. Different groups of Huh7R cells were treated with Sorafenib, AZD4547, Sorafenib combined with AZD4547, and normal saline. The cell viability was detected by Cell Counting Kit-8. Then Fibroblast growth factor receptor and Toll-like receptor 4 were detected by Western blot, as well as the LC3 II/I, Beclin1, and P62. In addition, we used the autophagy inhibitor 3-methyladenine to identify the mechanism of AZD4547 combined with Sorafenib for inducing Sorafenib-resistant hepatoma cell death.
Results:
We find that AZD4547 combined with Sorafenib significantly inhibited the viability of Sorafenib-resistant hepatoma cell Huh7R. As for its mechanism, AZD4547 was able to inhibit fibroblast growth factor receptor activity, promote autophagy and regulate immunity. AZD4547 increased LC3 II/I, Beclin1, and Toll-like receptor 4 proteins, and decreased P62 protein level in Huh7R cells significantly when given in combination with sorafenib. Furthermore, 3-methyladenine inhibited autophagy and reversed the killing effect of the combination of AZD4547 and Sorafenib on Huh7R cells.
Conclusion:
The inhibition of fibroblast growth factor receptor activity by AZD4547 can significantly enhance autophagy and immune response, as well as promote the death of Sorafenib-resistant hepatoma cells.
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