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Background: HeberFERON is a co-formulation of α2b and γ interferons, based on their synergism, which has shown its clinical superiority over individual interferons in basal cell carcinomas. In glioblastoma (GBM), HeberFERON has displayed promising preclinical and clinical results. This led us to design a microarray experiment aimed at identifying the molecular mechanisms involved in the distinctive effect of HeberFERON compared to the individual interferons in U-87MG model.
Methods: Transcriptional expression profiling including a control (untreated) and three groups receiving α2b-interferon, γ-interferon and HeberFERON was performed using an Illumina HT-12 microarray platform. Unsupervised methods for gene and sample grouping, identification of differentially expressed genes, functional enrichment and network analysis computational biology methods were applied to identify distinctive transcription patterns of HeberFERON. Validation of most representative genes was performed by qPCR. For the cell cycle analysis of cells treated with HeberFERON for 24 h, 48 and 72 h we used flow cytometry.
Results: The three treatments show different behavior based on the gene expression profiles. The enrichment analysis identified several mitotic cell cycle related events, in particular from prometaphase to anaphase, which are exclusively targeted by HeberFERON. The FOXM1 transcription factor network that is involved in several cell cycle phases and is highly expressed in GBMs, is significantly down regulated. Flow cytometry experiments corroborated the action of HeberFERON on the cell cycle in a dose and time dependent manner with a clear cellular arrest as of 24 h post-treatment. Despite the fact that p53 was not down-regulated, several genes involved in its regulatory activity were functionally enriched. Network analysis also revealed a strong relationship of p53 with genes targeted by HeberFERON. We propose a mechanistic model to explain this distinctive action, based on the simultaneous activation of PKR and ATF3, p53 phosphorylation changes, as well as its reduced MDM2 mediated ubiquitination and export from the nucleus to the cytoplasm. PLK1, AURKB, BIRC5 and CCNB1 genes, all regulated by FOXM1, also play central roles in this model. These and other interactions could explain a G2/M arrest and the effect of HeberFERON on the proliferation of U-87MG.
Conclusions: We proposed molecular mechanisms underlying the distinctive behavior of HeberFERON compared to the treatments with the individual interferons in U-87MG model, where cell cycle related events were highly relevant.
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http://dx.doi.org/10.1186/s12885-023-11330-2 | DOI Listing |
Med Oncol
September 2025
Division of Hematology and Blood Bank, Department of Medical Laboratory Sciences, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
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September 2025
Department of Pharmacognosy, College of Pharmacy, Prince Sattam Bin Abdulaziz University, 11942, Al Kharj, Saudi Arabia.
Cyclin-dependent kinase 20 (CDK20), also known as cell cycle-related kinase (CCRK), plays a pivotal role in hepatocellular carcinoma (HCC) progression by regulating β-catenin signaling and promoting uncontrolled proliferation. Despite its emerging significance, selective small-molecule inhibitors of CDK20 remain unexplored. In this study, a known CDK20 inhibitor, ISM042-2-048, was employed as a reference to retrieve structurally similar compounds from the PubChem database using an 85% similarity threshold.
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Phytoveda Pvt. Ltd, Mumbai, 400022, India.
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Med Oncol
September 2025
Department of Biotechnology, Institute of Engineering and Management, University of Engineering and Management, Kolkata, Kolkata, India.
Oligomeric proanthocyanidins (OPCs), condensed tannins found plentiful in grape seeds and berries, have higher bioavailability and therapeutic benefits due to their low degree of polymerization. Recent evidence places OPCs as effective modulators of cancer stem cell (CSC) plasticity and tumor growth. Mechanistically, OPCs orchestrate multi-pathway inhibition by destabilizing Wnt/β-catenin, Notch, PI3K/Akt/mTOR, JAK/STAT3, and Hedgehog pathways, triggering β-catenin degradation, silencing stemness regulators (OCT4, NANOG, SOX2), and stimulating tumor-suppressive microRNAs (miR-200, miR-34a).
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September 2025
Peking University Third Hospital, Beijing, China.
Cardiovascular-Kidney-Metabolic (CKM) syndrome, a newly defined systemic disorder, is characterized by the pathological interplay among diabetes, chronic kidney disease (CKD), and cardiovascular disease (CVD). Recent studies have identified chronic inflammation not only as a central mediator in the pathological progression of CKM syndrome but also as a pivotal molecular hub that drives coordinated damage across multiple organ systems. Mechanistic investigations have revealed that aberrant activation of signaling pathways such as NF-κB, Wnt, PI3K-AKT, JAK-STAT, and PPAR constitutes a complex inflammatory regulatory network.
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