RPL38 Regulates the Proliferation and Apoptosis of Gastric Cancer via miR-374b-5p/VEGF Signal Pathway

Network pharmacology‑based analysis and in vitro experimental verification of the inhibitory role of luteoloside on gastric cancer cells via the p53/p21 pathway

The present study aimed to investigate the inhibitory effect of luteoloside on the proliferation, migration and invasion of gastric cancer (GC) cells based on network pharmacology and in vitro experiments. GC-associated targets were obtained from the GeneCards and Online Mendelian Inheritance in Man databases. Gene Ontology functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were performed using the Database for Annotation, Visualization and Integrated Discovery. Protein-protein interaction (PPI) networks and herb-active ingredient-target gene-signaling pathway networks were constructed using the Search Tool for the Retrieval of Interacting Genes and proteins and Cytoscape software to analyze core target genes and pathways. In addition, the alkaline comet assay was performed to assess DNA damage, demonstrating that luteoloside induces DNA double-strand breaks in a concentration-dependent manner, as indicated by increased comet tail lengths. γ-H2AX detection through western blot analysis further corroborated these findings, showing significant upregulation of this DNA damage marker in luteoloside-treated GC cells. The human GC cell line NCI-N87 was utilized for in vitro experiments to investigate the impact of different doses of luteoloside on cell proliferation, invasion and migration using Cell Counting Kit-8, scratch-wound and Transwell assays, respectively. The underlying molecular mechanism of luteoloside was explored using western blot analysis. The successfully constructed PPI network revealed the p53, Akt1, Bcl-2 and Caspase-3 proteins as the core targets, all of which showed good binding activity with luteoloside. The in vitro experiments demonstrated that luteoloside treatment significantly inhibited GC-cell proliferation, migration and invasion. The western blot results showed notable concentration-dependent upregulation of p53 and p21 protein expression and downregulation of Bcl-2 protein expression following luteoloside treatment. Overall, luteoloside inhibited the proliferation, migration and invasion of GC cells by activating the p53/p21 signaling pathway.

A Novel Approach: Combining Prognostic Models and Network Pharmacology to Target Breast Cancer Necroptosis-Associated Genes

Breast cancer (BC) accounts for the highest proportion of the all cancers among women, and necroptosis is recognized as a form of caspase-independent programmed cell death. We created prognostic signatures using univariate survival analysis, and lasso regression, to assess immune microenvironments between subgroups. We then used network pharmacology to bind our drugs to target differentially expressed genes (DEGs). A signature comprising a set of necroptosis-related genes was established to predict patient outcomes based on median risk scores. Those above and below the median were classified as high-risk group (HRG) and low-risk group (LRG), respectively. Patients at high risk had lower overall survival, and poorer predicted tumor, nodes, and metastases stages (TNM). The novel prognostic signature can effectively predict the prognosis of breast cancer patients docking of β,β-dimethyl acryloyl shikonin (DMAS) to possible targets to cure breast cancer. We found that all current prognostic models do not offer suitable treatment options. In additional, by docking drugs DMAS that have been initially validated in our laboratory to treat breast cancer. We hope that this novel approach could contribute to cancer research.

RPL38 knockdown inhibits the inflammation and apoptosis in chondrocytes through regulating METTL3-mediated SOCS2 m6A modification in osteoarthritis

BACKGROUND

Ribosomal protein L38 (RPL38) was found upregulated in osteoarthritic peripheral blood mononuclear cells, however, its role in progression of osteoarthritis has not been characterized.

METHODS

The protein levels of RPL38 and SOCS2 in cartilage tissues from OA patients and controls were detected with Western blotting. IL-1β was used to stimulate primary chondrocytes to establish an OA cell model, and RPL38 siRNA (si-RPL38) was transfected into chondrocytes to investigate the effect of RPL38 knockdown on cell viability, apoptosis, inflammatory factor secretion and extracellular matrix degradation. Then, the mechanism that RPL38 regulate the SOCS2 expression and SOCS2-induced chondrocyte dysfunction was explored. The methyltransferase-like 3 (METTL3)-mediated m6A modification of SOCS2 mRNA was confirmed, and the interaction of RPL38 and METTL3 was verified. Moreover, the effects of SOCS2 overexpression on IL-1β-induced chondrocyte dysfunction and SOCS2 knockdown on the restoration of chondrocyte function by siRPL38 were investigated. Finally, RPL38 was knocked down in vivo and its role in OA progression was validated.

RESULTS

RPL38 was upregulated and SOCS2 was downregulated in OA cartilages. RPL38 knockdown or SOCS2 overexpression either attenuated IL-1β-induced chondrocyte apoptosis, inflammatory cytokine secretion, and ECM degradation. RPL38 directly interacted with METTL3 and it inhibited SOCS2 expression through METTL3-mediated m6A modification. SOCS2 knockdown activated the JAK2/STAT3 proinflammatory pathway and reversed the effects of RPL38 knockdown on IL-1β-induced chondrocyte apoptosis, inflammation and ECM degradation. RPL38 knockdown alleviated cartilage tissue damage and ECM degradation in OA mice.

CONCLUSION

RPL38 knockdown inhibited osteoarthritic chondrocyte dysfunction and alleviated OA progression through promoting METTL3-m6A-mediated SOCS2 expression.

Integrative immunogenomic analysis reveals transcriptional and immune-related differences in hepatocellular carcinoma patients with different disease-free survival

A comprehensive investigation of the neoantigen spectrum and immune infiltration in patients with hepatocellular carcinoma (HCC) is lacking. This study aimed to examine the molecular features correlating with better prognoses in HCC patients. 27 paired tumor and normal tissues from 27 HCC patients were collected and performed with whole-exome sequencing. The most frequently mutated gene in 27 HCC patients was TP53 (16/27, 59.26%). Based on the whole median disease-free survival (DFS), all patients were divided into 'long-term' (n = 14, median DFS = 318 weeks) and 'short-term' (n = 13, median DFS = 11 weeks) groups. RNA-seq was performed to compare differentially expressed genes, immune infiltration, and neoantigens. Immunohistochemistry was performed to evaluate the immune infiltration. There were no significant differences in tumor mutation burden, immune score, cytolytic activity score, or neoantigen load between two groups. Compared with the long-term group, significantly increased B lineage (P = 0.0463), myeloid dendritic cells (P = 0.0152), and fibroblast (P = 0.0244) infiltration levels were observed in the short-term group, in which genes involved in ribosome, proteasome, and ECM-receptor interaction pathways were also overexpressed. Additionally, 16 patients with tumor thrombus were explored to identify specific biomarkers for prognosis. We found that patients with tumor thrombus carrying TP53/ARID2 neoantigens had significantly longer DFS. In conclusion, higher B lineage, myeloid dendritic cells, and fibroblast infiltration levels might cause poor prognosis in the short-term group, which also showed higher expression of genes involved in ribosome, proteasome, and ECM-receptor interaction pathways. In patients with tumor thrombus, specific TP53/ARID2 neoantigens may be used as biomarkers toward personalized immunotherapy.

Dicer Enhances Bevacizumab-Related Inhibition of Hepatocellular Carcinoma via Blocking the Vascular Endothelial Growth Factor Pathway

Purpose

Vascular endothelial growth factor (VEGF) family members contribute greatly to the development and angiogenesis of hypervascular hepatocellular carcinoma (HCC). We have previously shown that Dicer inhibited HCC growth. In this study, we aimed to determine the relationship between Dicer and VEGF in HCC.

Methods

Gain-of-function studies were performed to determine the effect of different treatments on the proliferation, migration, and invasion of HCC cells. Expression of VEGF-A in xenograft tumor tissues was analysed using Western blotting, and that of CD31 using immunohistochemical analysis.

Results

We found that Dicer inhibited proliferation, migration and invasion of HCC cells by suppressing VEGF-A expression. Interestingly, VEGF-A165, which is the most prominent VEGF-A isoform, counteracted Dicer-induced inhibition of HCC cells. In addition, a monoclonal anti-VEGF antibody (bevacizumab) enhanced Dicer-induced inhibition of HCC in vitro and in vivo. Further, immunohistochemical analysis of CD31 indicated bevacizumab and Dicer synergized to reduce tumor microvessel density.

Conclusion

Our data demonstrated that Dicer enhanced bevacizumab-related inhibition of HCC cell via the VEGF pathway; therefore, Dicer in coordination with bevacizumab may provide another potential approach for HCC therapy.

Visualization of individual cell division history in complex tissues using iCOUNT

The division potential of individual stem cells and the molecular consequences of successive rounds of proliferation remain largely unknown. Here, we developed an inducible cell division counter (iCOUNT) that reports cell division events in human and mouse tissues in vitro and in vivo. Analyzing cell division histories of neural stem/progenitor cells (NSPCs) in the developing and adult brain, we show that iCOUNT can provide novel insights into stem cell behavior. Further, we use single-cell RNA sequencing (scRNA-seq) of iCOUNT-labeled NSPCs and their progenies from the developing mouse cortex and forebrain-regionalized human organoids to identify functionally relevant molecular pathways that are commonly regulated between mouse and human cells, depending on individual cell division histories. Thus, we developed a tool to characterize the molecular consequences of repeated cell divisions of stem cells that allows an analysis of the cellular principles underlying tissue formation, homeostasis, and repair.