S100A11 Promotes Metastasis via AKT and ERK Signaling Pathways and Has a Diagnostic Role in Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is the most common and malignant liver tumor worldwide, although the treatment approaches for HCC continue to evolve, metastasis is the main reason for high mortality rates. S100 calcium-binding protein A11 (S100A11), an important member of the S100 family of small calcium-binding proteins, is overexpressed in various cells and regulates tumor development and metastasis. However, few studies report the role and underlying regulatory mechanisms of S100A11 in HCC development and metastasis. Herein, we discovered that S100A11 is overexpressed and associated with poor clinical outcomes in HCC cohorts, and we provided the first demonstration that S100A11 could serve as a novel diagnostic biomarker used in conjunction with AFP for HCC. Further analysis implied that S100A11 outperforms AFP in determining whether HCC patients have hematogenous metastasis or not. Using in vitro cell culture model, we demonstrated that S100A11 is overexpressed in metastatic hepatoma cells, knockdown of S100A11 decreases hepatoma cells proliferation, migration, invasion, and epithelial-mesenchymal transition process by inhibiting AKT and ERK signaling pathways. Altogether, our study provides new sights into the biological function and mechanisms underlying S100A11 in promoting metastasis of HCC and explores a novel target for HCC diagnosis and treatment.

The expression of cuproptosis-related genes in hepatocellular carcinoma and their relationships with prognosis.

Background: The mechanism of cuproptosis has recently been reported in lipoylated proteins of the tricarboxylic acid (TCA) cycle. Besides, the role of copper was previously recognized in cancer progression. We evaluated the prognostic value of cuproptosis-related gene expression in hepatocellular carcinoma (HCC). Methods: Remarkable genes were selected both in differential expression analysis and Kaplan-Meier survival analysis from ninety-six cuproptosis-related genes using The Cancer Genome Atlas (TCGA) database. The relationships between clinical characteristics and gene expression were performed with Wilcoxon signed-rank test, Kruskal-Wallis test, and logistic regression. Clinicopathologic factors correlated with overall survival in HCCs conducting univariate and multivariate Cox regression analysis. Gene Expression Profiling Interactive Analysis 2 (GEPIA2) and Human Protein Atlas (HPA) databases were utilized to verify the results. Furthermore, Gene Set Enrichment Analysis (GSEA) identified the potential key pathways that dominate cuproptosis in HCC. Results: Elevated ATP7A, SLC25A3, SCO2, COA6, TMEM199, ATP6AP1, LIPT1, DLAT, PDHA1, MTF1, ACP1, FDX2, NUBP2, CIAPIN1, ISCA2 and NDOR1 expression, as well as declined AOC1, FDX1, MT-CO1, and ACO1 expression were significantly emerged in HCC tumor tissues and were significantly associated with HCCs poor survival. The expressions of screened cuproptosis-related genes were prominently related to clinical features. GSEA analysis reported many key signaling pathways (such as natural killer cell mediated cytotoxicity, TCA cycle, glutathione metabolism, ATP-binding cassette (ABC) transporters, Notch signaling pathway, ErbB signaling pathway, and metabolism of xenobiotics by cytochrome p450) were differentially enriched in HCCs with varying degrees of cuproptosis-related genes expression. Conclusions: The twenty cuproptosis-related genes might be utilized as new candidate prognostic biomarkers for HCC.

The association between several autophagy-related genes and their prognostic values in hepatocellular carcinoma: a study on the foundation of TCGA, GEPIA and HPA databases.

BACKGROUND: The purpose of this study was to investigate the relationship between the expression of autophagy-related genes and prognosis in hepatocellular carcinoma (HCC). METHODS AND RESULTS: We selected three autophagy-related genes (ATG3, ATG7, and ATG9A) from gene expression data of liver cancer patients in The Cancer Genome Atlas (TCGA) database by Kaplan-Meier survival analysis, univariate and multivariate Cox regression analysis, and Gene Set Enrichment Analysis (GSEA). Human Protein Atlas (HPA) and Gene Expression Profiling Interactive Analysis (GEPIA) databases were applied to testify the credibility of our results. The expression levels of ATG3, ATG7, and ATG9A were verified by real-time quantitative PCR (RT-qPCR) in normal liver cells (L02) and three HCC cell lines (HepG2, Hep3b, and Li-7). Data analysis results from TCGA showed high ATG3, ATG7, ATG9A expression in HCC tumor tissues. Kaplan-Meier survival analysis showed that the survival rate of the high expression group of ATG3, ATG7, and ATG9A was all significantly lower than the low expression group. GSEA analysis showed that many signaling pathways (such as the regulation of autophagy, glycine serine and threonine metabolism, pathways in cancer, mitogen-activated protein kinase (MAPK) signaling pathway, mammalian target of rapamycin (mTOR) signaling pathway, as well as P53 signaling pathway) were differentially enriched in HCCs with ATG3, ATG7, and ATG9A expression. GEPIA and RT-qPCR also identified that the mRNA expression level of ATG3, ATG7, and ATG9A in normal liver cells were significantly lower than in HCC cells. High protein expression of ATG3, ATG7, and ATG9A was displayed in HCCs from the HPA database. CONCLUSIONS: The ATG3, ATG7, ATG9A might be utilized as prognostic biomarkers for liver cancer.

The Effect and Mechanism of LINC00663 on the Biological Behavior of Glioma.

Glioma is the most frequent primary malignant brain tumor, which is characterized by high incidence and mortality, with a poor prognosis. Numerous studies have revealed the abnormal expression of long non-coding RNAs in gliomas. This study explored the effects and potential mechanism of LINC00663 in glioma. The LINC00663 levels and their prognostic values were analyzed from the GEO databases using bioinformatics. Also, LINC00663 expression in tissue samples and cell lines was measured using qRT-PCR. The roles of LINC00663 in glioma were confirmed using CCK8, EdU assay as well as Transwell tests. Moreover, the influences of LINC00663 on the AKT/mTOR signal cascades were detected using western blotting assay. LINC00663 expression was higher in both glioma tissues and cell lines than that in the normal brain tissues and human astrocytes. High expression of LINC00663 led to the low overall survival rate of patients with glioma. LINC00663 knockdown notably restrained cell proliferation, migration, and invasion abilities by decreasing the activation of AKT and mTOR. This study indicated that LINC00663 might have a cancer-promoting role in accelerating glioma development and progression through regulating AKT/mTOR pathway.

Emerging Gram-positive bacteria and drug resistance in cirrhosis patients with spontaneous bacterial peritonitis: A retrospective study.

Spontaneous bacterial peritonitis (SBP) is one of the most severe complications in liver cirrhosis (LC) patients with ascites. The aim of the present study was to retrospectively analyze the bacterial spectrum and drug resistance in ascites culture of patients with SBP. A total of 3, 189 patients with ascites were enrolled in the present study, including 912 LC patients, of which 247 had SBP. It was revealed that in the 3, 189 patients, the ratio of SBP exhibited annual increases, especially in 2015, and this trend remained when cases were divided into two groups: Group A (admission, 2011-2013) and Group B (admission, 2014-2016). The 247 SBP patients were then stratified into two groups: Group 1 (admission, 2011-2013) and Group 2 (admission, 2014-2016). The rate of infection with gram-positive bacteria (GPB) was markedly higher in Group 2 compared with Group 1. Over time, GPB and gram-negative bacteria (GNB) were increased, while the increase of GPB was greater than that of GNB. Direct bilirubin and C-reactive protein levels, and the positive rate of ascites culture in Group 2 were greater than in Group 1. Furthermore, marked differences in serological and ascitic indexes or pathogeny, as well as complications between the patients with GPB and GNB infection were observed. The results regarding drug sensitivity revealed that the resistance rate of GPB and GNB to penicillin (ampicillin) was 100%, while the resistance rate to amikacin, imipenem, meropenem and piperacillin/tazobactam was 0% for GNB, and similarly, the resistance rate to vancomycin, teicoplanin, amikacin and linezolid was 0% for GPB. The results suggested that combined use of ampicillin/sulbactam or piperacillin/tazobactam should be selected forempirical therapy. In cases of nosocomial infection, these drugs should be combined with vancomycin, linezolid or teicoplanin when required.

Jinlong capsule inhibits migration and invasion in human glioblastoma cells via the modulation of mTOR/S6 signaling pathway.

Aim: To investigate the anticancer effects of Jinlong capsule (JLC) against human glioblastoma cells and the possible underlying mechanism. Methods: Cell Counting Kit-8 and colony formation assay were adopted for the analysis of cell viability. Cell invasion and migration were evaluated by transwell and wound healing assays. Then, the expression level of mammalian target of rapamycin (mTOR), phosphorylated mTOR (p-mTOR), S6 and phosphorylated S6 (p-S6) were determined by western blotting. Results: The results showed that JLC significantly inhibited human glioblastoma cell proliferation, invasion and migration in a dose-dependent manner. The expressions of p-mTOR and p-S6 were dramatically suppressed by JLC. Furtherly, inhibition of mTOR reduced the cell migration and invasion, while the mTOR agonist (MHY1485) could partially reverse the anti-migration and anti-invasion activity of JLC. Conclusion: The above results suggested that JLC would be a potential candidate for the treatment of glioblastoma.