Today, we face difficulty in generating new hypotheses and understanding oral lichen planus due to the large amount of biomedical information available. In this research, we have used an integrated bioinformatics approach assimilating information from data mining, gene ontologies, protein–protein interaction and network analysis to predict candidate genes related to oral lichen planus. A detailed pathway analysis led us to propose two promising therapeutic targets: the stromal cell derived factor 1 (CXCL12) and the C-X-C type 4 chemokine receptor (CXCR4). We further validated our predictions and found that CXCR4 was upregulated in all oral lichen planus tissue samples. Our bioinformatics data cumulatively support the pathological role of chemokines and chemokine receptors in oral lichen planus. From a clinical perspective, we suggest a drug (plerixafor) and two therapeutic targets for future research.
|Número de artículo||5454|
|Estado||Publicada - 1 dic. 2020|
|Publicado de forma externa||Sí|
Nota bibliográficaPublisher Copyright:© 2020, The Author(s).
- Chemokine CXCL12
- Computational Biology
- Genetic Association Studies
- Lichen Planus
- Molecular Targeted Therapy
- Mouth Mucosa