BackgroundImmune checkpoint inhibitors as monotherapies for advanced hepatocellular carcinoma (HCC) fail to achieve satisfying results, while combination therapies show greater efficacy. Therefore, identifying new combined targets for immune checkpoint inhibitors could be promising.MethodsWe combined the cancer–immunity cycle score with weighted gene coexpression network and system analyses to screen immunosuppressive targets in HCC. In vitro and in vivo experiments were used to assess the effect of zinc finger protein 207 (ZNF207) on HCC immunity. RNA sequencing, metabolomic, cytokine array analysis, dual-luciferase reporter gene assay, and ChIP quantitative PCR assay were used to investigate the role of ZNF207 in tumor immunity regulation.ResultsThe system analysis and experimental verification revealed ZNF207 as an immunosuppressive target in HCC. Hypoxia-induced upregulation of ZNF207 promoted HCC progression in immunocompetent mice while being associated with decreased CD8+ T-cell infiltration and increased exhaustion. Mechanistically, the mitogen-activated protein kinase (MAPK)–chemokine C-X3-C-motif ligand axis was involved in ZNF207-mediated CD8+ T-cell chemotaxis. Furthermore, ZNF207 transcriptionally regulated indoleamine 2,3-dioxygenase 1 and elevated kynurenine levels, leading to the exhaustion of CD8+ T cells. Patients with lower ZNF207 expression were more sensitive to antiprogrammed cell death protein 1 (PD1) therapy, and silencing ZNF207 could be beneficial to anti-PD1 combination therapy.ConclusionOur study implicates ZNF207 in suppressing the HCC microenvironment and showed the feasibility of targeting ZNF207 during anti-PD1 therapy in HCC.
The combustion system of biodiesel has complex dynamic characteristics. In this paper, the combustion characteristics and flame stability of gutter oil biodiesel in a biodiesel evaporation combustion system are studied based on chaos identification theory. It aims to analyze the chaotic behavior of OH radical intensity on different equivalence ratio of laminar flame using OH‐PLIF technology with a specific focus on the use of 0–1 test. The results of 0–1 test are compared with those of phase space reconstruction, largest Lyapunov exponent and Fourier spectrum algorithm. The results show that the 0–1 test can be used as an efficient and reliable tool to diagnose the non‐linear dynamic characteristics of biodiesel combustion, and the combustion stability of flame is proportional to the chaotic intensity range. This method has a certain guiding value for identify the optimal combustion state and the most stable flame under different equivalence ratio.
In this paper, the nonlinear dynamic characteristics of the oxygen-enriched combustion of waste oil biodiesel in semi-industrial furnaces were tested by the power spectrum, phase space reconstruction, the largest Lyapunov exponents, and the 0-1 test method. To express the influences of the system parameters, experiments were carried out under different oxygen content conditions (21%, 25%, 28%, 31%, and 33%). Higher oxygen enrichment degrees contribute to finer combustion sufficiency, which produces flames with high luminance. Flame luminance and temperature can be represented by different gray scale values of flame images. The chaotic characteristics of gray scale time series under different oxygen enrichment degrees were studied. With increased oxygen content, the chaotic characteristics of flame gradually developed from weak chaos to strong chaos. Furthermore, the flame maintained a stable combustion process in a high-temperature region. The stronger the chaotic characteristics of the flame, the better the combustion effect. It can be seen that the change of initial combustion conditions has a great influence on the whole combustion process. The results of several chaotic test methods were consistent. Using chaotic characteristics to analyze the waste oil biodiesel combustion process can digitize the combustion process, find the best combustion state, optimize, and precisely control it.
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