Simultaneous Administration of Bevacizumab with Bee-Pollen Extract-Loaded Hybrid Protein Hydrogel NPs Is a Promising Targeted Strategy against Cancer Cells.
Nemany Abdelhamid Nemany HanafyEman Ali Bakr EltonoubyElsayed I SalimMagdy E MahfouzStefano LeporattiEzar H HafezPublished in: International journal of molecular sciences (2023)
Bevacizumab (Bev) a humanized monoclonal antibody that fights vascular endothelial growth factor A (VEGF-A). It was the first specifically considered angiogenesis inhibitor and it has now become the normative first-line therapy for advanced non-small-cell lung cancer (NSCLC). In the current study, polyphenolic compounds were isolated from bee pollen (PCIBP) and encapsulated (EPCIBP) inside moieties of hybrid peptide-protein hydrogel nanoparticles in which bovine serum albumin (BSA) was combined with protamine-free sulfate and targeted with folic acid (FA). The apoptotic effects of PCIBP and its encapsulation (EPCIBP) were further investigated using A549 and MCF-7 cell lines, providing significant upregulation of Bax and caspase 3 genes and downregulation of Bcl2, HRAS, and MAPK as well. This effect was synergistically improved in combination with Bev. Our findings may contribute to the use of EPCIBP simultaneously with chemotherapy to strengthen the effectiveness and minimize the required dose.
Keyphrases
- vascular endothelial growth factor
- advanced non small cell lung cancer
- monoclonal antibody
- drug delivery
- cancer therapy
- endothelial cells
- signaling pathway
- cell death
- wound healing
- epidermal growth factor receptor
- induced apoptosis
- oxidative stress
- cell proliferation
- small cell lung cancer
- protein protein
- systematic review
- randomized controlled trial
- anti inflammatory
- metastatic colorectal cancer
- hyaluronic acid
- amino acid
- binding protein
- breast cancer cells
- poor prognosis
- high resolution
- dna methylation
- squamous cell carcinoma
- mass spectrometry
- locally advanced
- radiation therapy
- atomic force microscopy
- transcription factor
- bioinformatics analysis
- high speed