Abstrait

In Silico Identification of Micro RNA-1224-5p from the Oral Squamous Cell Carcinoma (OSCC) Human Genome Sequence

Bharath K*, Marina Francis

Background: Oral Squamous Cell Carcinoma (OSCC) is the most common histotype of head and neck cancer, accounting for 90% of all diagnosed cases. The goal of modern cancer research is to develop less invasive techniques that can provide a more complete picture of the cancer profile and make it simple to track the disease's development and therapeutic response. Interestingly, microRNAs (miRNAs or miRs) are studied for their potential role as biomarkers and therapeutic targets in various diseases, including OSCC.

Methods: In this study, we have used bioinformatic approaches to identify hsa-miR-1224-5p for OSCC using NCBI database, miRbase and target scan. Finally, RNA fold was used to create the secondary structure of hsa-miR-1224-5p.

Results: Careful evaluation of the secondary structure result showed that hsa-miR-1224-5p has a minimum free energy of -44.10 kcal. The correlation between hsa-miR-1224-5p and OSCC genome sequence was identified.

Conclusion: These computational approaches have concluded that hsa-miR-1224-5p can be used as a diagnosis, prognosis and effective therapeutic target for treating OSCC. Thus, further research could enlighten the role of hsa-miR-1224-5p in OSCC.