Nanoquercetin and Extracellular Vesicles as Potential Anticancer Therapeutics in Hepatocellular Carcinoma.
Alok RaghavGoo-Bo JeongPublished in: Cells (2024)
Despite world-class sophisticated technologies, robotics, artificial intelligence, and machine learning approaches, cancer-associated mortalities and morbidities have shown continuous increments posing a healthcare burden. Drug-based interventions were associated with systemic toxicities and several limitations. Natural bioactive compounds derived nanoformulations, especially nanoquercetin (nQ), are alternative options to overcome drug-associated limitations. Moreover, the EVs-based cargo targeted delivery of nQ can have enormous potential in treating hepatocellular carcinoma (HCC). EVs-based nQ delivery synergistically regulates and dysregulates several pathways, including NF-κB, p53, JAK/STAT, MAPK, Wnt/β-catenin, and PI3K/AKT, along with PBX3/ERK1/2/CDK2, and miRNAs intonation. Furthermore, discoveries on possible checkpoints of anticancer signaling pathways were studied, which might lead to the development of modified EVs infused with nQ for the development of innovative treatments for HCC. In this work, we abridged the control of such signaling systems using a synergetic strategy with EVs and nQ. The governing roles of extracellular vesicles controlling the expression of miRNAs were investigated, particularly in relation to HCC.
Keyphrases
- pi k akt
- signaling pathway
- artificial intelligence
- machine learning
- cell proliferation
- epithelial mesenchymal transition
- big data
- cell cycle arrest
- healthcare
- deep learning
- cell cycle
- induced apoptosis
- poor prognosis
- stem cells
- physical activity
- small molecule
- drug induced
- adverse drug
- risk factors
- cell death
- atomic force microscopy
- social media
- inflammatory response
- long non coding rna
- health information
- risk assessment
- toll like receptor
- nuclear factor
- high speed