In silico Analysis of Tyrosine Kinases Receptor in Papillary and Medullary Thyroid Cancer Using Sequence-alignment-based Methods

Enas Taha Tolba and Hanan Ahmed Amer

Background and Objective: Papillary and medullary thyroid cancers are prevalent. Effective cancer therapies need molecular target identification. Tyrosine kinases regulate cell growth, differentiation and survival. This study sequence-aligns papillary and medullary thyroid cancer tyrosine kinase receptors in silico. The investigation seeks tyrosine kinase receptor mutations and structural alterations that may cause these cancers. Materials and Methods: Phylogeny estimation was performed for tyrosine kinase proteins from 4 different types of cancer: Thyroid carcinoma, ovary, lung and hepatic cancer. Analyzed the protein domains present in each cancer type and found that the catalytic domain of the protein tyrosine kinases was the predominant domain present in all of the investigated sequences. Results: The present results displayed that almost the sequence from cancerous thyroid tissue and other organs did not differ from each other and revealed high similarity. The analysis indicated that the catalytic domain of the protein tyrosine kinases is the predominant domain. Conclusion: This information could be used to develop new diagnostic tools and targeted therapies for these types of cancer. Overall, this study provides valuable insights into the molecular mechanisms underlying cancer development and highlights the importance of understanding the protein domains present in different types of cancer.

View Fulltext Back