The multiplication of new markers used for diagnosis addresses new challenges in routine medical practice. One outstanding question is; how can we profile tumor markers expression using a meaningful and practical method for clinical purposes? Over the last 6 years, the microarray technology made a significant contribution to our understanding of many medical conditions. Benefiting from EAT’s expertise, we decided to design two cutting edge low density microarrays tools to study on one hand, ATP-binding cassette genes-mediated chemotherapy resistance and on the other hand, to characterize subtypes of Small B-Cell non-Hodgkin Lymphomas. The microarray (DualChip human ABC) specificity and the reproducibility of our results were tested first by comparison of ABC gene expression in three drug-resistant sublines and their respective drugsensitive counterparts. The results that we obtained were in accordance with ABC-transporters expression previously described for these cell lines using different methods. Interestingly, we were able to report a larger diversity of ABC-transporter expression than previously established with classical molecular biology screens. To further validate the relevance of this approach for diagnostic purposes, we profiled the expression of ABC genes in clinical samples of Acute Myeloid Leukemia, T-Acute Lymphoblastic Leukemia from pediatric patients, and drug treated/untreated samples of mamma carcinoma biopsies. By doing so, we characterized the expression of new ABC transporters in pediatric leukemia and observed enrichment for ABC-transporters in breast cancers even prior drug treatment. In the second part of this work our microarray-based strategy was applied to diagnostic procedures in order discriminate between four different forms of small B cell non Hodgkin lymphomas. We applied gene expression profiling to RNA samples obtained from 71 patients. Through a supervised comparison of the various expression patterns, we isolated a group of genes that can be used to discriminate 75% of the patients investigated. As a conclusion, using a variety of cell lines and tumor samples we demonstrated that low-density microarrays can be used for molecular diagnosis in many meaningful ways including tumor classification and drug resistance profiling.
|Date of Award||25 Apr 2006|
|Supervisor||Jose REMACLE (Supervisor), Carine MICHIELS (Jury), Michel Herin (Co-Supervisor), Andre BOSLY (Jury), Thomas Efferth (Jury) & Thierry MOLINA (Jury)|