Identification and targeting of metastatic biomarkers for hepatocellular carcinoma therapeutics using small molecules library of curcumin analogues.
Ayushi GuptaPrincy ChoudharySangeeta SinghPublished in: Molecular diversity (2024)
The understanding of the molecular basis of complex diseases like hepatocellular carcinoma (HCC) needs large datasets of multiple genes and proteins involved in different phenomenon of its development. This study focuses on the molecular basis of HCC and the development of therapeutic strategies. We analyzed a dataset of 5475 genes (Homo sapiens) involved in HCC hallmarks, involving comprehensive data on multiple genes and frequently mutated genes. As HCC is characterized by metastasis, angiogenesis, and oxidative stress, exploration of genes associated with them has been targeted. Through gene ontology, functional characterization, and pathway enrichment analysis, we identified target proteins such as Lysyl oxidase, Survivin, Cofilin, and Cathepsin B. A library of curcumin analogs was used to target these proteins. Tetrahrydrocurcumin showed promising binding affinities for all four proteins, suggesting its potential as an inhibitor against these proteins for HCC therapy.
Keyphrases
- genome wide
- bioinformatics analysis
- genome wide identification
- oxidative stress
- small cell lung cancer
- cancer therapy
- squamous cell carcinoma
- dna methylation
- small molecule
- molecular docking
- gene expression
- machine learning
- electronic health record
- rna seq
- deep learning
- cell therapy
- heat stress
- data analysis
- dna binding