Knockdown of ANLN inhibits the progression of lung adenocarcinoma via pyroptosis activation.

Significant advancements have been achieved in the area of molecular targeted therapy for lung adenocarcinoma (LUAD). However, the complex molecular patterns and high heterogeneity of LUAD confine the efficacy of these therapies to a specific subset of patients; therefore, it is necessary to explore novel targets for LUAD treatment. The expression levels of anillin (ANLN) in LUAD were analyzed using the Gene Expression Profiling Interactive Analysis database. Furthermore, the association between ANLN gene expression and patient survival outcomes was evaluated using the Kaplan­Meier Plotter. Subsequently, small interfering RNA (siRNA) transfection was performed to knock down ANLN in A549 and H1299 cell lines, after which, TUNEL, colony formation and Transwell assays were conducted to assess cell death, colony formation and migration, respectively. Additionally, western blot analysis was performed to analyze the expression levels of caspase­1, interleukin (IL)­18 (IL­18), IL­1ß, NLR family pyrin domain­containing 3 (NLRP3), apoptosis­associated speck­like protein containing a CARD domain (ASC) and cleaved gasdermin D (GSDMD) following ANLN knockdown. The results revealed that ANLN mRNA expression was significantly increased in LUAD tissues compared with adjacent normal samples. Furthermore, the expression levels of ANLN displayed an increasing trend with advancing clinical stage. Furthermore, patients with high ANLN expression levels exhibited poor overall survival rates compared with those with low ANLN expression levels. Subsequent ANLN knockdown experiments indicated elevated cell death rate, and reduced colony formation and migration in both A549 and H1299 cells. Additionally, ANLN knockdown resulted in increased protein expression levels of pyroptosis­associated molecules, including caspase­1, NLRP3, cleaved­GSDMD, IL­1ß, ASC and IL­18 in both A549 and H1299 cells. In conclusion, ANLN represents an important gene and a promising therapeutic target for LUAD. Its potential as a therapeutic target makes it an interesting candidate for further exploration in the development of novel treatment strategies for LUAD.

Study on plasma amino acids and piperonamide as potential diagnostic biomarkers of non-small cell lung cancer.

Background: The value of plasma threonine, cysteine, and piperonamide as diagnostic biomarkers for non-small cell lung cancer (NSCLC) has been rarely explored. The lack of a validation set containing confounders is common to most previous metabolomics studies. The purpose of this study was to explore and validate the value of plasma amino acids and piperonamide as diagnostic biomarkers for NSCLC using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Methods: A total of 250 participants were included in this study, including 167 patients with pathologically confirmed NSCLC and 83 healthy controls (HCs). These participants were divided into training set, validation set 1, and validation set 2 in chronological order and in a certain proportion. The plasma levels of 22 amino acids and 1 piperonamide in these pre-treatment NSCLC patients and HCs were measured by LC-MS/MS. Metabolic biomarkers were identified after multivariate analysis, univariate analysis, receiver operating characteristic (ROC) analysis. Furthermore, these biomarkers and transcriptomic data were subjected to joint pathway analysis. Results: The area under the ROC curve (AUC) values for threonine, piperonamide, arginine, alanine, cysteine, methionine, and histidine in the integrated data set were 0.911, 0.848, 0.909, 0.869, 0.786, 0.597 and 0.637, respectively. This panel composed of these 7 metabolites showed good diagnostic capability for NSCLC (the AUC of this diagnostic panel in each data set was greater than 0.9). The specificity of this diagnostic panel in validation set 2, which included confounders, was 0.970, similar to that of the other datasets. The presence of confounding factors had little effect on the diagnostic accuracy of this panel. The ROC analysis of this diagnostic panel between all stage I NSCLC patients and HCs showed AUC, sensitivity, and specificity of 1.000, 1.000, and 0.988, respectively. Moreover, PSAT1, SHMT2, AOC3, and MAOB were found to be involved in the metabolism of threonine and cysteine. Conclusions: Plasma amino acids and piperonamide have potential as diagnostic biomarkers in NSCLC. This metabolic biomarker panel appears useful for the diagnosis and screening of NSCLC. In addition, metabolomic and transcriptomic integration pathway analysis may help elucidate the mechanism of NSCLC occurrence and development and even reveal new treatment vulnerabilities.

A new pyroptosis model can predict the immunotherapy response and immune microenvironment characteristics and prognosis of patients with cutaneous melanoma based on TCGA and GEO databases.

Background: Recent studies have shown that pyroptosis is related to cancer development. Our previous study also found that gasdermins (GSDMs) was associated with the tumor immune microenvironment. Therefore, we wanted to observe the relationship between pyroptosis and the immune microenvironment and prognosis of skin cutaneous melanoma (SKCM). Methods: Pyroptosis-related genes were used for pan-cancer prognostic analysis using the GEPIA2 online analysis website. Prognosis-related genes were clustered using R software and related R packages, and the best clustering results were screened for prognosis analysis. The prognosis-related genes were also used to establish a prognosis-related model. Assess the predictive power of a model by comparing area under the curve (AUC). The t-test was used to analyze the differences of immune-related indicators between the two clusters and between high and low risk groups. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis was performed on the differential genes. Results: By clustering the prognosis-related genes, SKCM could be divided into 2 clusters with significant differences in prognosis P<0.05. A prognostic model can be established using prognosis-related genes. The AUC value of 1 year, 2 years and 3 years was 0.696, 0.702 and 0.664, respectively. The risk score was significantly associated with prognosis in both univariate and multivariate Cox analyses P<0.001. The low-risk group or C2 cluster with better prognosis had higher expression of pyroptosis-related genes, and tended to have a lower exclusion score, greater chemokine expression, more immune cells and higher immune score. However, the C2 cluster or low-risk group was also associated with a higher dysfunction score. At the same time, the C2 or low-risk group was more suitable for immunotherapy because of the higher immunophenoscore (IPS) score P<0.001. Correlation analysis also demonstrated that the risk score was positively correlated with the gene expression of most immunoinhibitors, MHC molecules, immunostimulators, and chemokines and their receptors. Conclusions: Pyroptosis is associated with melanoma immune microenvironment, immunotherapy response, and prognoses. The constructed risk scores could effectively predict the characteristics of the immune microenvironment, the sensitivity to immunotherapy, and the prognosis of melanoma patients.

MiR-199a-3p Restrains Foaming and Inflammation by Regulating RUNX1 in Macrophages.

MiR-199a-3p was reported decreased in serum of coronary heart disease patients and human atherosclerotic plaques. This study aims to investigate the roles of miR-199a-3p in atherosclerosis (AS). AS was induced in ApoE-/- mice via high fat diet for 12 weeks. Oxidized low density lipoprotein (ox-LDL) was used to induce foaming in RAW264.7 cells. The expression level of miR-199a-3p was decreased in aortas of AS mice and ox-LDL-treated macrophages. Oil red O staining, ELISA, flow cytometry, and western blot results demonstrated that miR-199a-3p mimics restrained ox-LDL-induced lipid accumulation, foaming, and inflammation in RAW264.7 cells, while miR-199a-3p inhibitor played opposite roles. Runt-related transcription factor 1 (RUNX1), a pro-inflammatory factor, was identified as a target of miR-199a-3p, and its expression was downregulated by miR-199a-3p. RUNX1 was increased in macrophages from aortas and peripheral blood of AS mice. Ox-LDL-induced inflammation and lipid accumulation were aggravated by RUNX1, and the effects of miR-199a-3p were antagonized by ectopic expression of RUNX1 in RAW264.7 cells. The phosphorylation of signal transducer and activator of transcription 3 (STAT3) was inhibited by miR-199a-3p and enhanced by RUNX1. In conclusions, we demonstrated that miR-199a-3p alleviated ox-LDL-induced foaming and inflammation by downregulating RUNX1 expression and deactivating STAT3 signaling in macrophages. These findings may provide novel targets for treatment of AS.

Abnormal arginine metabolism is associated with prognosis in patients of gastric cancer.

BACKGROUND: Metabolic disorder is a key factor in the occurrence and development of tumors. Metabolomics methods can explore a variety of prognostic markers for tumors. METHODS: The 454 patients included in this study comprised 92 cases of gastric cancer, 51 cases of gastric ulcers, 206 cases of gastric polyps, and 105 cases of gastritis. The plasma levels of 23 amino acids in patients before treatment were detected by liquid chromatography-tandem mass spectrometry, and t-test was used to determine the difference of amino acids levels between the gastric cancer group and other groups. Shared different amino acids were selected to analyze their relationship with staging, differentiation and prognosis. The TCGA database was used to explore the changes of genes expression related to the synthesis and degradation of different amino acids, and the relationship between the genes and stage, differentiation and prognosis. RESULTS: The plasma arginine level in the gastric cancer group was significantly higher than that in the gastric ulcer, gastric polyp, and gastritis groups (P values 0.0065, 0.0306, 0.0004, respectively).The level of plasma arginine in patients with non-metastatic gastric cancer was significantly higher than that in patients with metastatic gastric cancer (P=0.0013). Compared with the normal control, the key metabolic enzyme ASS1 gene was highly expressed in gastric cancer, and the survival time of gastric cancer patients with high expression of ASS1 was longer. Patients with high arginine expression had significantly longer survival (log-rank test P=0.0003). CONCLUSIONS: Increased plasma arginine level in gastric cancer patients was related to overexpression of ASS1 by TCGA database analysis. High expression of ASS1 prolonged the overall survival of gastric cancer patients, and the arginine level before treatment could be used as a prognostic factor.

A pan-cancer analysis of the expression of gasdermin genes in tumors and their relationship with the immune microenvironment.

BACKGROUND: Gasdermins (GSDMs) are a class of proteins related to pyrolysis and in humans, consist of GSDMA, GSDMB, GSDMC, GSDMD, DFNA5, and DFNB59. The inflammatory factors and cell contents released during pyrolysis can recruit immune cells and change the microenvironment. However, to date, there is a paucity of studies examining the relationship between GSDMs and the immune microenvironment in tumors. Therefore, this current report analyzed the expression of GSDM genes in tumors and their relationship with the immune microenvironment. METHODS: Apply GSCALite and GEPIA2 online analysis tools to analyze the gene expression levels and the Single nucleotide variant (SNV), copy number variation (CNV), and methylation characteristics of GSDM genes respectively. Use R software or TISIDB online analysis tool to carry out the correlation analysis required in the article. Furthermore, Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted to examine the role of these GSDM genes in various cancers. RESULTS: The results demonstrated that CNV can cause an increase in GSDM gene expression, and methylation can inhibit GSDM gene expression. The elevated expression of GSDMA, GSDMB, GSDMC, GSDMD, and DFNA5 in some or most tumors was often accompanied by elevated immune scores, increased immune cell infiltration, and high expression of major histocompatibility complex (MHC) molecules, chemokines and their receptors, and immune checkpoint-related genes. However, DFNB59 was often negatively correlated with these indicators in tumors. GSDMD was the most highly expressed GSDM protein in various normal tissues and tumors, and showed the strongest correlation with immune microenvironment-related genes. Moreover, the methylation of GSDMD was accompanied by low immune cell infiltration, low expression of MHC molecule-related genes, low expression of chemokines and receptor-related genes, and low expression of immune checkpoint-related genes. CONCLUSIONS: Therefore, the expression of GSDM-related genes is associated with the tumor immune microenvironment. The GSDM genes, especially GSDMD, may be used as therapeutic targets to predict or change the tumor microenvironment and as biomarkers to predict the therapeutic efficacy of immune checkpoint inhibitors.