The obesity-related mutation gene on nonalcoholic fatty liver disease.

The prevalence of overweight and obesity is increasing, leading to metabolic-associated fatty liver disease (MAFLD) characterized by excessive accumulation of liver fat and a risk of developing hepatocellular carcinoma (HCC). The driver gene mutations may play the roles of passengers that occur in single 'hotspots' and can promote tumorigenesis from benign to malignant lesions. We investigated the impact of high body weight and BMI on HCC survival using The Cancer Genome Atlas Liver Hepatocellular Carcinoma (TCGA-LIHC) dataset. To explore the effects of obesity-related gene mutations on HCC, we collected driver mutation genes in 34 TCGA patients with BMI ≥ 27 and 23 TCGA patients with BMI < 27. The digital PCR performing the PBMC samples for the variant rate by clinical cohort of 96 NAFLD patients. Our analysis showed that obesity leads to significantly worse survival outcomes in HCC. Using cbioportal, we identified 414 driver mutation genes in patients with obesity and 127 driver mutation genes in non-obese patients. Functional analysis showed that obese-related genes significantly enriched the regulated lipid and insulin pathways in HCC. The insulin secretion pathway in patients with obesity HCC-specific survival identified ABCC8 and PRKCB as significant genes (p < 0.001). It revealed significant differences in gene mutation and gene expression profiles compared to non-obese patients. The digital PCR test ABCC8 variants were detected in PBMC samples and caused a 14.5% variant rate, significantly higher than that of non-obese NAFLD patients. The study findings showed that the gene ABCC8 was a patient with the obesity-related gene in NAFLD, which provides the probability that ABCC8 mutation contributes to the pre-cancer lesion biomarker for HCC.

Systematic integration of molecular and clinical approaches in HCV-induced hepatocellular carcinoma.

BACKGROUND: MicroRNAs (miRNAs) play a crucial role in gene expression and regulation, with dysregulation of miRNA function linked to various diseases, including hepatitis C virus (HCV)-related hepatocellular carcinoma (HCC). There is still a gap in understanding the regulatory relationship between miRNAs and mRNAs in HCV-HCC. This study aimed to investigate the function and effects of persistent HCV-induced miRNA expression on gene regulation in HCC. METHODS: MiRNA array data were used to identify differentially expressed miRNAs and their targets, and miRNAs were analyzed via DIANA for KEGG pathways, gene ontology (GO) functional enrichment, and Ingenuity Pathways Analysis (IPA) for hepatotoxicity, canonical pathways, associated network functions, and interactive networks. RESULTS: Seventeen miRNAs in L-HCV and 9 miRNAs in S-HCV were differentially expressed, and 5 miRNAs in L-HCV and 5 miRNAs in S-HCV were significantly expressed in liver hepatocellular carcinoma (LIHC) tumors. Grouped miRNA survival analysis showed that L-HCV miRNAs were associated with survival in LIHC, and miRNA‒mRNA targets regulated viral carcinogenesis and cell cycle alteration through cancer pathways in LIHC. MiRNA-regulated RCN1 was suppressed through miRNA-oncogene interactions, and suppression of RCN1 inhibited invasion and migration in HCC. CONCLUSION: Persistent HCV infection induced the expression of miRNAs that act as tumor suppressors by inhibiting oncogenes in HCC. RCN1 was suppressed while miRNAs were upregulated, demonstrating an inverse relationship. Therefore, hsa-miR-215-5p, hsa-miR-10b-5p, hsa-let-7a-5p and their target RCN1 may be ideal biomarkers for monitoring HCV-HCC progression.

Multi-omics profiling of chemotactic characteristics of brain microglia and astrocytoma.

Brain cancer is a deadly disease with low survival rates for over 70 % of patients. Therefore, there is a critical need to develop better treatment methods and strategies to improve patient outcomes. In this study, we explored the tumor microenvironment and discovered unique characteristics of microglia to interact with astrocytoma cells and promote proliferation and migration of collisions. The conditioned medium from the collisions expressed cell chemoattraction and anti-inflammatory responses. To further understand the interactions between microglia and astrocytoma cells, we used flow sorting and protein analysis found that the protein alterations were related to biogenesis in the astrocytoma cells and metabolic processes in the microglia. Both types of cells were involved in binding and activity in cell-cell interactions. Using STRING to demonstrate the protein cross-interaction between the cells. Furthermore, PHB and RDX interact with oncogenic proteins, which were significantly expressed in patients with Glioblastoma Multiforme (GBM) and low-grade glioma (LGG) according to GEPIA. To study the role of RDX in chemoattraction, the inhibitor-NSC668394 suppressed collision formation and migration in BV2 cells in vitro by down-regulating F-actin. Additionally, it suppressed macrophage infiltration in infiltrating islands in vivo of intracranial tumor-bearing mice. These findings provide evidence for the role of resident cells in mediating tumor development and invasiveness and suggest that potential interacting molecules may be a strategy for controlling tumor growth by regulating the infiltration of tumor-associated microglia in the brain tumor microenvironment.