Genetic profiling for haematological malignancies involves chasing a moving target. Not so long ago, leukaemias were stratified based on karyotype abnormalities. In recent years, however, knowledge of molecular genetics in haematology has increased significantly, thus offering new clinical opportunities. It has now been shown that gene expression, mutations and other genetic and epigenetic abnormalities also have diagnostic, prognostic and therapeutic implications.
Since 2004, our group has been studying Myeloid Neoplasms, with a particular focus on characterizing genetic and epigenetic lesions to find new diagnostic, prognostic and therapeutic markers that could help us better diagnose and treat patients with these diseases. First, we started with karyotype and single nucleotide polymorphism arrays (SNP-A) to help us detect alterations at chromosome level, and we are currently performing studies at gene level (mutational profile studies) and analysing the impact that telomere size could have on the development of the disease.
The aim of our group is to apply our research to myeloid neoplasms (MN), specifically three distinct haematological diseases: chronic myelomonocytic leukaemia, myelodysplastic syndromes and myeloproliferative neoplasms (PV, ET, MFP and CML), with a view to finding better tools for diagnosis and prognosis stratification and achieving individualized targeted therapies (personalized medicine). Therefore, our research focuses mainly on the following areas:
Our research is highly socially relevant because we promote capacity building, advancing knowledge, help in making informed decisions and improve the health in general terms, with economic benefits for the whole society. Through our research, we aim to answer the following questions: 1. How can we improve diagnosis, prognosis stratification, treatment response and life expectancy in chronic myelomonocytic leukaemia? 2. How can we improve diagnosis, prognosis stratification, treatment response and life expectancy in myelodysplastic syndromes? 3. How can we improve diagnosis, prognosis stratification, treatment response and life expectancy in myeloproliferative neoplasms?