Approved Research

Deciphering recurrent surgical ENT diseases through genetics and deep phenotyping

Lay summary

Our research project focuses on two prevalent surgical ENT diseases - cholesteatoma and laryngeal cancer - and aims to tackle their high recurrence rates, which contribute to their significant impact on patients' health. By combining genetic studies with clinical and laboratory data from a large number of patients, we hope to make a difference in how these conditions are treated.

For cholesteatoma cases, we will harness the power of Artificial Intelligence (AI) to explore potential complementary medical treatments. By analyzing a vast amount of data from the UK Biobank, we aim to identify new therapeutic options that could help reduce the chances of recurrence.

In the case of laryngeal cancer, our goal is to create a nomogram - a predictive tool - that can guide healthcare professionals in choosing the most effective treatment for each patient (chemoradiation vs laryngectomy).

Our project will last for one year, during which we will analyze the extensive data available in the UK Biobank to develop predictive models for both cholesteatoma and laryngeal cancer. To ensure the reliability of our findings, we will validate these models using data from patients treated at our hospital, representing different nationalities.

The impact of our research could be profound. By understanding the genetic factors underlying recurrences in these ENT diseases, we aim to pave the way for improved treatment strategies. Finding complementary medical treatments for cholesteatoma and optimizing treatment choices for laryngeal cancer could lead to better patient outcomes and reduced morbidity rates. Ultimately, our project aspires to contribute positively to public health by offering more effective and personalized treatment options for individuals facing these challenging medical conditions