Integration of Transcriptomic Data for the Identification of Diagnostic Biomarkers in Oral Cancer

Necessity of Project Implementation

Oral cancer is one of the most common types of cancer, occurring in various regions of the oral cavity, including the lips, tongue, and oral tissues. Oral squamous cell carcinoma (OSCC) is the predominant type of oral cancer, characterized by its rapid growth and high potential for metastasis, making it particularly significant. Early diagnosis of this disease can significantly improve treatment success and survival rates. Transcriptomics data, which examines gene expression on a large scale, can assist in identifying precise and reliable biomarkers for cancer detection and progression prediction. However, the large volume and complexity of transcriptomic data require advanced methods for analysis and data integration to achieve meaningful results. Despite considerable advancements in the diagnosis and treatment of oral cancer, many patients are still diagnosed at advanced stages. This is largely due to the lack of accurate and non-invasive diagnostic tools capable of detecting cancer in its early stages. Therefore, the development and identification of early diagnostic biomarkers through transcriptomics data integration can be a pivotal step toward early detection and enhancing the quality of life for oral cancer patients.

Principal Investigator: Dr. Ziba Vaisi Malekshahi
Start Year: 2024