Current Medicinal Chemistry - Online First

Pterygium is a common ocular surface disorder characterized by fibrovascular overgrowth, with recurrence remaining a major clinical challenge. While non-coding RNAs have been implicated in pterygium pathogenesis, the role of tRNA-derived small RNAs (tsRNAs) remains unexplored.

We performed small RNA sequencing on pterygium and adjacent normal conjunctiva tissues to profile tsRNA expression. Differentially expressed tsRNAs were validated using qRT-PCR, and their biological functions were investigated via cell proliferation and wound healing assays in human pterygium fibroblasts (HPF). Potential target genes and enriched pathways were analyzed using bioinformatics approaches, including KEGG and GO enrichment analysis.

We identified significantly dysregulated tsRNAs in pterygium, with tRF-1_30-His- GTG-1, tRF-1_31-Val-CAC-2, tRF-1_31-Gly-GCC-1, and tRF-1_30-Gly-CCC-1-M4 exhibiting notable upregulation. Functional assays demonstrated that tRF-1_30-His- GTG-1 promotes fibroblast proliferation and migration, while the other three tsRNAs enhance fibroblast migration. Pathway enrichment analysis revealed their involvement in cellular proliferation, extracellular matrix remodeling, and angiogenesis.

This study provides the first evidence of tsRNA involvement in pterygium pathogenesis, highlighting their potential as biomarkers and therapeutic targets. Future studies should focus on deciphering their precise regulatory mechanisms and developing RNA-based therapeutic strategies to mitigate disease progression.

With the rapid emergence of drug-resistant strains of tuberculosis, resistance to current first-line and second-line anti-tuberculosis drugs is becoming increasingly prevalent. Consequently, the discovery of new lead compounds is essential to address this challenge. GyrB has emerged as a promising target for tuberculosis treatment due to its pivotal role in DNA replication and topology regulation in Mycobacterium tuberculosis.

In this study, a multi-conformational virtual screening approach, complemented by antibacterial activity assays, was utilized to identify novel GyrB inhibitors from the ChemDiv database.

Among the 27 compounds purchased, 10 exhibited significant inhibitory effects against the H37Rv strain, with 8 featuring novel core scaffolds. Notably, three compounds (V027-7669, V017-8710, and 5132-0213) demonstrated a minimum inhibitory concentration (MIC) of 8 μg/mL. Compounds V027-7669 and V017-8710, in particular, showed antibacterial activity against a multidrug-resistant tuberculosis strain, with MIC values of 32 μg/mL and 16 μg/mL, respectively. Molecular dynamics simulations revealed that both V027-7669 and V017-8710 bind stably to GyrB, which are primarily driven by nonpolar interactions. Furthermore, both of them occupy a novel sub-pocket formed by residues Val99, Gly106, Val123, Gly124, and Val125, where they establish hydrogen bonds with Val125.

Our study underscores the effectiveness of a multi-conformational virtual screening strategy in identifying novel GyrB inhibitors and suggests V027-7669 and V017-8710 as promising lead compounds for the development of treatments against multidrug-resistant tuberculosis.

Diabetes mellitus (DM) is a chronic metabolic disorder that seeks treatment instead of available mitigative therapy.

Six (E)-3-(aryl)-1-phenylprop-2-en-1-one chalcones were synthesized and characterized through various spectroscopic techniques. Their anti-diabetic potential was examined through in-vitro (α-glucosidase and α-amylase inhibition assays), in-vivo (alloxan-induced hyperglycemia), and in-silico studies.

All the chalcones derivatives significantly inhibited α-glucosidase and α-amylase. Compounds 11 (IC50 = 1.10 ± 0.02) and 13 (IC50 = 3.25 ± 0.10 µM) exhibited the most potent activity against α-glucosidase. The effect of compounds 11 and 13 was also significant against α-amylase with IC50 of 13.2 ± 0.50 and 10.2 ± 0.4 µM, respectively. In alloxan-induced hyperglycemic model, a significant (p<0.001) reduction in blood glucose level (BGL) was observed by compounds 10, 11 and 14 with maximum percent inhibition of 47.48, 47.22 and 47.55, respectively. In the oral glucose tolerance test, a continuous reduction in BGL was noted at 60 minutes. No negative effect was seen on lipid profile, and in liver and renal function tests. However, a slight gain in body weight was noted. Moreover, docking result indicates good interaction of these molecules with the target enzymes, α-glucosidase and α-amylase.

These results demonstrate that all these molecules have significant anti-diabetic potential.

Alzheimer's disease (AD) is the most common cause of dementia worldwide, with a steadily increasing prevalence. However, the mechanisms underlying AD remain unclear, and current treatments have only limited efficacy.

This study aimed to identify potential biomarker genes for AD and to explore the underlying mechanisms by integrating microarray analysis, Mendelian randomization (MR), and experimental validation.

AD-related microarray datasets were downloaded from the Gene Expression Omnibus database. Differential expression analysis identified differentially expressed genes (DEGs) between AD and control samples. Summary-level data from genome-wide association studies on AD were integrated with expression quantitative trait loci data to identify genes with potential causal relationships with AD using MR. The intersections between DEGs and causal genes were identified as hub genes. Functional analysis was performed to explore underlying mechanisms. Quantitative real-time PCR was applied to validate the expression of hub genes in clinical samples.

Differential expression analysis identified 312 DEGs, whereas MR identified 202 genes with causal effects on AD. The intersection of these two sets identified four hub genes: FCRLB, MT2A, PFKFB3, and SRGN. Functional analysis indicated significant associations between AD and immune-related pathways. Correlation analysis revealed significant connections between hub genes and immune cells in AD. The expression of MT2A, PFKFB3, and SRGN was significantly upregulated, whereas FCRLB was downregulated in clinical AD samples compared with controls.

The integration of microarray analysis, MR, and experimental validation identified and validated four potential biomarker genes with causal effects on AD, namely FCRLB, MT2A, PFKFB3, and SRGN. Functional analysis indicated a pivotal role of the immune microenvironment in AD. These findings offer insights into the molecular mechanisms of AD and have implications for improving its diagnosis and treatment strategies.

RNA sequencing data and clinical information from GC patients were collected from the TCGA and GEO databases, excluding cases of pure IGC and DGC. Based on ECMR and CA-related genes, supervised clustering via non-negative Matrix Factorization (NMF) was used to identify molecular subtypes in MGC. Differential expression and Cox regression analyses were performed to identify prognostic genes, and an ECMR and CA-based gene signature (ECRS) was developed using machine learning techniques. Gene Set Variation Analysis (GSVA) was conducted to assess functional differences between risk groups, while TIDE and pRRophetic analyses were used to predict responses to immunotherapy and chemotherapy.

A total of 239 MGC patients were classified into two molecular subtypes with significant differences in prognosis. Subtype 2 displayed distinct ECM interactions and connective tissue development pathways. To refine the ECRS model, we tested 117 model combinations across 10 machine learning algorithms, selecting the configuration with the best predictive accuracy. This optimized model distinguished biological and immune characteristics between high- and low-risk groups, with low-risk patients showing greater sensitivity to immunotherapy and standard chemotherapy.

This study identifies novel molecular subtypes of MGC based on ECMR and CA-related genes and establishes an effective ECRS model to predict prognosis, immunotherapy response, and chemotherapy sensitivity. This model supports personalized treatment strategies for MGC.

Hepatocellular carcinoma (HCC) is a life-threatening cancer with rising incidence and mortality rates. Identifying new prognostic biomarkers is crucial for improving HCC management.

This study investigates the role of Double PHD Fingers 1 (DPF1) in hepatocellular carcinoma (HCC), exploring its potential as a prognostic indicator and therapeutic target.

We analyzed DPF1 expression in 374 hepatocellular carcinoma (HCC) tissues and 50 normal tissues from the TCGA-HCC database, as well as in 240 HCC tissues and 202 normal tissues from the ICGC-HCC repository. We examined the correlation between DPF1 expression and clinical parameters, immune cell infiltration, drug response profiles, cancer stem cell (CSC) characteristics, and its diagnostic/prognostic potential using various bioinformatics tools and statistical analyses. Validation was performed using the ICGC and HPA databases, and qRT-PCR was used to confirm DPF1 expression in HCC cell lines.

DPF1 exhibited abnormal expression in HCC and several other malignancies. Elevated DPF1 levels were significantly associated with higher Alpha-fetoprotein (AFP) levels (p = 0.043) and poorer clinical outcomes, including diminished overall survival (OS) (p = 0.002), progression-free survival (PFS) (p = 0.018), and disease-specific survival (DSS) (p = 0.001). DPF1 expression was also linked to immune cell infiltration, immune checkpoint gene expression, drug sensitivity, and CSC characteristics. Notably, DPF1 was significantly overexpressed in HCC tissues and cell lines at both transcriptional and translational levels.

Our study reveals that DPF1 is a novel prognostic biomarker in HCC, with potential implications for immunotherapy and drug resistance. Elevated DPF1 expression is associated with adverse clinical outcomes and may serve as a target for future therapeutic interventions in HCC.

Stanniocalcin 1 (STC1) has been implicated in cancer pathogenesis, yet its pan-cancer implications and mechanistic roles in tumor progression and immune modulation remain incompletely characterized. The clinical relevance of STC1 in predicting prognosis and its interaction with tumor immune microenvironment components requires systematic investigation.

This study aims to establish the pan-cancer prognostic significance of STC1 and elucidate its associations with immunological characteristics, including immune checkpoint proteins, tumor mutational burden (TMB), microsatellite instability (MSI), and immune cell infiltration. This study focuses specifically on validating its role in the pathogenesis of gastric adenocarcinoma (STAD).

Multi-omics analysis was performed using TCGA pan-cancer datasets and bioinformatics tools (UALCAN, cBioPortal, HPA, GTA). Experimental validation included multiplex fluorescence staining of STAD tissue microarrays (n=30) and Western blot analysis of STAD cell lines. Key parameters analyzed encompassed clinical outcomes, cancer stemness indices, neoantigen load, and epithelial-mesenchymal transition (EMT) signatures.

Pan-cancer analysis revealed significant STC1 overexpression in 18/33 cancer types (54.5%), particularly in prostate adenocarcinoma (94% deep deletions). STC1 expression correlated with poor prognosis (HR=1.32, p<0.01), elevated TMB (r=0.43), and MSI (r=0.38) across multiple malignancies. Single-cell RNA sequencing demonstrated a strong association with EMC (NES=2.18, FDR<0.001). In STAD, this study confirmed 3.7-fold protein overexpression (p=0.008) and identified positive correlations with CD8+ T cell infiltration (r=0.62, p=0.002) and CD4+ T cell infiltration (r=0.58, p=0.004).

This multi-modal study establishes STC1 as a novel pan-oncogenic factor with dual roles in tumor progression (via EMT and stemness regulation) and immune microenvironment remodeling. The strong association with immune checkpoints (PD-L1, CTLA4) and T cell infiltration patterns positions STC1 as a promising immunotherapeutic target, particularly in STAD and MSI-high cancers. These findings provide mechanistic insights for developing STC1-directed therapeutic strategies.

Over 85% of biologically active compounds are heterocycles or contain heterocyclic groups, underscoring their vital importance in contemporary drug development. Among them, nitrogen-containing derivatives, such as pyridines and pyrimidines, are considered privileged structures in approved drugs or are extensively studied due to their promising therapeutic effects.

In the current work, we would like to verify the hypothesis that incorporating heterocyclic pharmacophores into derivatives of pyrimidine-2(1H)-thione (PMT), 2-pyridone (P), pyridine-2(1H)-thione (PT), dihydropyrimidine-2(1H)-thione (DHPMT), dihydropyridin-2(1H)-one (DHP), and dihydropyridine-2(1H)-thione (DHPT) rings enhances antitumor activity.

A range of novel pyridine- and pyrimidine-based compounds were synthesized and assessed for their anticancer properties against the melanoma A375 cell line. The two most potent compounds (16b and 29) were then chosen for further evaluation of their effects on non-cancerous human dermal fibroblasts, cancer cell apoptosis, cell cycle phase distribution, and tubulin polymerization. Furthermore, in silico analyses were performed to assess the pharmacokinetics, toxicity, drug-likeness, and molecular target of the selected compounds.

Among the 33 compounds tested, pyridine analogs 16b and 29 demonstrated the strongest antiproliferative activity (with IC50 values of 1.85 ± 0.44 µM and 4.85 ± 1.67 µM, respectively) and selectivity (SI=65.08 and SI> 100, respectively) against cancer cells. Additional studies revealed that compound 16b, which features a thiophene ring at the C-5 position and a 3,4,5-trimethoxyphenyl (TMP) group, showed the most promising cell cycle arrest and tubulin polymerization inhibition (IC50=37.26 ± 10.86 µM), resulting in cancer cell apoptosis. In silico ADMET analysis confirmed the drug- likeness of the synthesized compounds.

This research reinforced the significance of heterocyclic rings as valuable pharmacophores. Additionally, it highlighted the antiproliferative and antimitotic potential of modified pyridine derivatives.

This study investigated the causes of Mitochondrial Dysfunction (MD) in Diabetic Kidney Disease (DKD) progression, and identified genes associated with DKD, especially those with significant genetic causal effects, to provide a theoretical basis for DKD treatment.

Using a large database and single-cell RNA sequencing (scRNA-seq) data, 333 MDRDEGs were discovered. MDRDEGs were linked to AGE-RAGE signaling, RNA processing, protein transport, and energy metabolism using functional enrichment analysis. Seven MDRDEGs with significant genetic causal effects in DKD were discovered using SMR and MR analyses: ACTN1, ALG11, CCNB1, HIVEP2, MANBA, TUBA1A, and WFS1. Co-localization and scRNA-seq analyses examined these genes' DKD connections. Due to the high significance of its prediction model and DKD expression, ACTN1 was studied in depth. PheWAS and molecular dynamics analysis assessed ACTN1's safety and efficacy as a therapeutic target, and its connection with other symptoms. ACTN1 protein expression in DKD tissues was confirmed by immunofluorescence.

Functional enrichment analysis revealed that MDRDEGs were mostly related to AGE-RAGE signaling, RNA processing, protein transport, and energy metabolism. Seven MDRDEGs caused DKD genetically in SMR and MR investigations. Genetic variations in ACTN1, ALG11, MANBA, and TUBA1A were linked to DKD by co-localization studies. scRNA-seq showed a dramatic increase in ACTN1 expression in DKD. Molecular dynamics analysis demonstrated that Dihydroergocristine can safely bind to ACTN1, while the PheWAS investigation found no significant relationships. DKD tissues exhibited higher ACTN1 protein levels via immunofluorescence.

This study identified MDRDEGs linked to inflammation, cytoskeletal stabilization, and glucose metabolism pathways critical in Diabetic Kidney Disease (DKD) pathogenesis, highlighting their clinical potential as therapeutic targets. Notably, ACTN1 emerged as a causally linked gene overexpressed in DKD, with the prediction of dihydroergocristine as a targeting compound, offering novel avenues for clinical intervention.

This study suggests that ACTN1 may be a therapeutic target for DKD and sheds light on its molecular pathogenesis, clinical prevention, and treatment.

Endothelial dysfunction is the altered pathological ability of endothelial cells to modulate the passage of cells and solutes across vessels, which underlies the development of inflammatory diseases. Betanin (betanidin-5-O-β-glucoside), a natural product rich in red beets, is a water-soluble nitrogen-containing pigment, and its potential protective effects on cardiovascular disease have been reported. In this study, we investigated the protective role of betanin in vascular endothelial dysfunction induced by TNFα and explored potential mechanisms.

We modelled endothelial dysfunction through TNFα stimulation in human umbilical vein endothelial cells (HUVECs) and examined the role of betanin and its possible mechanism of action by MTT assay, Western blotting, and immunofluorescence staining. A systemic inflammation model of mice was built through LPS to investigate the protective roles of betanin.

Betanin pre-treatment increased cell viability, inhibited the expression of intercellular cell adhesion molecule-1 (ICAM-1) and vascular cell adhesion molecule-1 (VCAM-1), and improved endothelial tight junction by upregulating the expression of occludin and zonula occludens-1 (ZO-1) after TNFα stimulation in HUVECs. In terms of endothelial-mesenchymal transition, betanin up-regulated the expression of endothelial phenotypes VE-cadherin and CD31, whereas it inhibited the expression of mesenchymal phenotype N-cadherin, indicating that betanin reduced endothelial-mesenchymal transition in TNFα-stimulated HUVECs. In addition, betanin increased the expression of LC3 and decreased the expression of p62, two central proteins in autophagy. Betanin also reversed the abnormal autophagic flux after TNFα exposure. However, the specific autophagy inhibitor, 3-methyladenine, blocked the protective effect of betanin. Finally, betanin was found to greatly decrease ICAM-1 and VCAM-1 expression, and upregulate occludin and ZO-1 levels in a systemic inflammation model of mice.

The above results collectively suggested that betanin may improve endothelial dysfunction by promoting autophagy, thus exerting beneficial effects on cardiovascular health.

This study aimed to establish a PANoptosis related prognostic signature and identify potential prognostic markers and therapeutic targets for HCC.

Hepatocellular carcinoma (HCC) is one of the most common malignant tumors worldwide. The survival rate of patients with HCC remains relatively low. PANoptosis can be mediated by lncRNA to involve the pathophysiology of HCC, but the mechanism is still unclear.

TCGA and GEO hepatocellular carcinoma databases and previous research results were used to construct the PANoptosis related risk model.

Based on the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database, this study identified long non-coding RNAs (lncRNAs) associated with PANoptosis in HCC. Univariate, LASSO-Cox, and multivariate COX analyses were employed to gradually screen prognostic lncRNAs and construct prognostic models. Further analysis was conducted on the core lncRNA-AC034229.4.

A total of 8 differentially expressed lncRNAs closely correlated with HCC prognosis were discovered. A prognostic model comprising 6 lncRNAs (AC090192.2, LINC01703, AC034229.4, AC073352.1, AC004816.1, and AL136162.1) was established demonstrating good predictive ability for prognosis. Moreover, this prognostic model exhibited close associations with tumor immune microenvironment and immune checkpoints. Subsequent investigations revealed that AC034229.4 independently influenced HCC prognosis by regulating cell cycle progression and inhibiting the immune microenvironment response. Drug sensitivity analysis indicated that AC034229 .4 displayed sensitivity to various anticancer drugs as well. In addition, inhibition of AC034229 .4 expression suppressed HCC migration and invasion abilities.

This study generated a novel and efficient prognostic signature model while identifying AC034229 .4 as a promising diagnostic and prognostic biomarker in HCC.

The purpose of this study is to construct and validate a neuroendocrine differentiation-related molecular model for predicting prognosis in patients with prostate cancer (PCa).

Transcriptome data for PCa were collected from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) websites. Differentially expressed neuroendocrine differentiation related genes (NDGs) were identified. By utilizing multivariate Cox analysis, a neuroendocrine differentiation-related molecular model for predicting prognosis was constructed and validated. The study investigated the novel model’s association with the tumor immune microenvironment, clinicopathological characteristics, tumor stemness, and anticancer treatment sensitivity. Additionally, preliminary experimental verifications of Diencephalon / Mesencephalon Homeobox 1 (DMBX1) were conducted.

Finally, we identified a total of 19 differentially expressed NDGs. A neuroendocrine differentiation-related molecular model was established and successfully validated both internally and externally. The high-risk group   exhibited   significantly   poorer biochemical recurrence-free survival (BCRFS) in the training, testing, and validating cohorts. The areas under the receiver operating characteristic curves for the training, testing, and validating cohorts were 0.825, 0.719, and 0.729, respectively. The tumor immune microenvironment, clinicopathological features, tumor stemness, and anti-cancer drug sensitivity was significantly different between high and low-risk patients. Preliminary experiments revealed that higher expression of DMBX1 significantly enhanced the proliferation, migration, and neuroendocrine differentiation of PCa cells.

This research developed a unique neuroendocrine differentiation-related molecular model that is highly suitable for predicting BCRFS. High DMBX1 expression may promote the development and neuroendocrine differentiation of prostate cancer.

Icaritin is a bioactive flavonol isolated from the Chinese medicinal herb Epimedium. The comprehensive understanding of antifibrotic effects and associated molecular mechanisms of icaritin remains incomplete. This study aims to explore the protective effects of icaritin against liver fibrosis and to further elucidate the mechanisms involved.

Human hepatic stellate LX-2 cells stimulated with TGF-β1 and a carbon tetrachloride (CCl4)-induced liver fibrosis mouse model were employed. In vitro assays were carried out to evaluate collagen type I (COL I) and α-smooth muscle actin (α-SMA) expression, while in vivo studies assessed fibrosis alleviation. Molecular mechanisms were explored via analysis of TGF-β1, phosphorylated Smad2/3, and HIF-1α protein levels using Western blotting.

Icaritin suppressed TGF-β1-induced COL I and α-SMA expression in LX-2 cells and ameliorated liver fibrosis in CCl4-treated mice. Mechanistically, it significantly reduced TGF-β1 levels, inhibited Smad2/3 phosphorylation, and downregulated HIF-1α protein expression in LX-2 cells.

Icaritin attenuated experimental liver fibrosis through the inhibition of the TGF-β/Smad and HIF-1α signaling pathways, highlighting its therapeutic potential for fibrotic liver diseases.

Inflammatory osteolysis often characterizes many orthopedic diseases, with an important role played by the overactivity of osteoclasts. This research endeavoured to investigate the effects of spinosin, a potent ingredient in traditional Chinese medicine, on Lipopolysaccharide (LPS)-induced osteoclast activity and formation to alleviate osteolysis.

Based on the molecular structure of spinosin, network pharmacology was used to predict its primary targets and mechanisms. LPS was used to stimulate pre-osteoclasts and to simulate an inflammatory environment. The effect of spinosin on osteoclast biology was subsequently examined via morphological study, qPCR, and Western blot (WB). Moreover, LPS-induced cranial osteolysis mice were utilized, followed by micro-CT analysis, to reveal the curative effects in vivo.

Network pharmacology and molecular docking suggested that EGFR and Akt might be the key targets for the efficacy of spinosin in inflammatory osteolysis. The results of in vitro experiments demonstrated that spinosin significantly inhibited osteoclast function and activity in the inflammatory environment, and this effect might be achieved through regulating EGFR-Akt signaling. The results of animal experiments also showed spinosin-protected mice against LPS-induced bone loss.

Spinosin can inhibit EGFR-mediated Akt phosphorylation, which in turn negatively affects downstream Nfatc1-mediated osteoclast-associated gene expression and subsequent osteoclast formation and functionality, mitigating the LPS-induced osteolysis. Our study proves that spinosin holds the promise of being an innovative drug to prevent inflammatory osteolysis.

Osteosarcoma is the most common primary malignant bone tumor in children and adolescents. The aim of this study was to explore the possibility of OS hypoxia subtype for anti-OS mRNA vaccine development and select suitable patients for precision therapy.

We comprehensively explored hypoxia-related genes (HRGs) as potential sources of tumor neoantigens in OS patients. Gene set enrichment analysis algorithm and consensus clustering analysis were used to determine immune subtypes and evaluate tumor microenvironment. Estimation of stromal and immune cells in malignant tumour tissues using expression data algorithm was used to assess tumour immune activity. The OS hypoxia landscape was visualized using dimensionality reduction analysis based on the DDRTree algorithm. Assessment of clinical samples and molecular experiments were performed to verify the determined tumor antigens.

Four overexpressed and mutated tumor antigens associated with prognosis and infiltration of antigen-presenting cells were identified and verified by clinical samples and molecular experiments. Furthermore, OS patients were stratified into two OS hypoxia subtypes. Interestingly, patients with the OS hypoxia subtype 1 tumor had a superior survival than those with the OS hypoxia subtype 2 tumor. Distinct expressions of immune checkpoint proteins (ICPs) and immunogenic cell death (ICD) modulators were observed in different immune subtype tumors. Finally, the immune landscape of OS showed a high degree of heterogeneity between individual patients.

This study identified potential antigens for the anti-OS mRNA vaccine as well as different OS hypoxia subtypes, guiding more effective immunotherapeutic strategies and selecting appropriate patients for tumor vaccine therapy.

This study aimed to investigate the target sites, core pathways, and mechanisms of action of melittin in treating ovarian cancer through network pharmacology, molecular docking, and experimental verification.

Potential targets for melittin in ovarian cancer treatment were predicted using databases, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. The binding of the drug to these targets was confirmed through molecular docking. The core targets and pathways were experimentally validated. A tumor-bearing nude mouse model was established, with the mice randomly divided into treatment and control groups. The treatment group received 5 mg/kg of melittin by intraperitoneal injection, whereas the control group received saline injections. Changes in mouse weight and tumor volume were monitored, and protein expression in mouse tumor tissues was assessed via immunohistochemistry and Western blotting at the end of the experiment.

Fifty-three common targets between melittin and ovarian cancer were identified in the SEA and GeneCards databases. The Protein-Protein Interaction (PPI) analysis highlighted core targets, including MMP9, STAT3, MMP2, STAT6, FURIN, and BRCA1. The GO enrichment results were related mainly to the metabolic processes of collagen degradation, extracellular matrix disassembly, external encapsulating structures, and phospholipase C-activated G-protein-coupled receptor signaling pathways. The KEGG pathway analysis revealed the enrichment of genes related to estrogen signaling, necroptotic apoptosis, the FoxO signaling pathway, microRNAs in cancer, the JAK-STAT signaling pathway, proteoglycans in cancer, and receptor-mediated carcinogenesis. Cell Counting Kit-8 (CCK8) assays, scratch wound healing tests, and Transwell invasion assays demonstrated that melittin significantly inhibited the proliferation, migration, and invasion of ovarian cancer cells. The Western blot results indicated that melittin downregulated the levels of p-JAK2, p-STAT3, and MMP9 in ovarian cancer cells. Molecular docking demonstrated that melittin bound stably to MMP9 and STAT3. The results of animal experiments indicated that melittin suppressed the growth of ovarian tumors in nude mice and significantly downregulated the expression of MMP9, p-JAK2, and p-STAT3 in tumor tissues (p<0.05).

Melittin may inhibit the growth of ovarian cancer cells by downregulating MMP9 expression via the JAK2-STAT3 signaling pathway, thus exerting a therapeutic effect.

Neuroblastoma (NB) is a prevalent pediatric solid malignancy associated with significant morbidity and mortality, largely driven by epigenetic alterations. This review aims to identify novel biomarkers related to long non-coding RNAs (lncRNAs) and DNA methylation in NB to enhance prognostic capabilities.

We conducted a detailed analysis of the interplay between lncRNAs and DNA methylation in NB, focusing on regulatory variations and their implications for disease progression. Key lncRNAs, including GTL2/MEG3, DALI, NBAT-1, and DLX6-AS1, were examined for their regulation by DNA methylation through cis- and trans-methylation mechanisms.

There are clinical and biological implications of lncRNAs in NB and related cancers. Notably, GTL2 and its alias MEG3 are implicated in tumorigenesis through epigenetic modifications, such as hypermethylation, leading to the loss of gene expression and aggressive tumor behavior. Similarly, the interactions of DALI with adjacent genes illustrate the crucial role lncRNAs play in neuronal differentiation and tumor progression, suggesting their potential to impact prognosis through regulatory effects. Furthermore, NBAT-1 emerges as a promising tumor suppressor with strong correlations to NB prognosis, where its methylation-induced silencing is associated with negative outcomes. DLX6-AS1 is also linked to increased NB risk, with expression patterns correlating to disease stage and survival rates; however, more extensive survival data are required to establish its prognostic value.

This review highlights the potential of lncRNAs as prognostic indicators in NB, emphasizing the need for further research to elucidate their roles and validate them as biomarkers for improved patient outcomes.

Angiogenesis plays an important role in progression of tumors including breast cancer, which accounts for the vast majority of women's malignant tumors globally, to meet the excessive requirement of oxygen and nutrition for growth, metastasis, and invasion of the tumor. Therefore, targeting tumor angiogenesis has turned into a significant target for cancer therapy. Erbin has a significant effect on the initiation and progression of cancer, including breast cancer, but its role in inhibiting vascular endothelial cell proliferation and angiogenesis by breast cancer cells remains unclear.

In this study, human SKBR3 and MCF-7 breast cancer cells were used and transfected with the plasmid and siRNA for overexpression and silence of Erbin, respectively. Western blot, qRT-PCR, CLEIA, CCK-8 and Matrigel Tube Formation Assay were used for the proteins detection, mRNAs detection, detection of VEGF in the culture supernatants, detection of cell proliferation and detection of the angiogenic ability of HUVECs in vitro, respectively.

It was shown that the expression of both Erbin protein and mRNA in SKBR3 cells was lower compared to that in MCF-7 cells (p < 0.05). While the expression of VEGF protein was higher in SKBR3 cells than that in MCF-7 cells (p < 0.05). Furthermore, the VEGF protein and mRNA in the cells, VEGF protein in the culture supernatant, HUVEC proliferation in the conditioned medium at 16 h and 24 h, the total length of tube formation in the conditioned medium, and pSTAT3 protein in the cells, were downregulated by transfection of Erbin gene in SKBR3 cells and upregulated (excluding HUVEC proliferation at 16 h) by transfection of Erbin siRNA in MCF-7 cells compared with their NC cells (p < 0.05).

It can be concluded that Erbin, with inhibiting the STAT3 pathway, suppresses the proangiogenic effects of breast cancer cells, thereby suggesting its potential as a therapeutic target for breast cancer.