Unit:
ΠΜΣ Μεταβολικά Νοσήματα των ΟστώνLibrary of the School of Health Sciences
Author:
Papadimitriou Viktoria
Supervisors info:
Γεώργιος Λυρίτης, Καθηγητής, Ιατρική, ΕΚΠΑ
Ισμήνη- Νίκη Δοντά, Καθηγήτρια,Ιατρική, ΕΚΠΑ
Ιωάννης Τριανταφυλλόπουλος, Επίκουρος Καθηγητής,Ιατρική, ΕΚΠΑ
Original Title:
Χρωμοσωμικές συσχετίσεις στη γονιδιακή έκφραση νεοπλασμάτων μεσοδερμικής προέλευσης: ραβδομυοσάρκωμα
Translated title:
Gene expression chromosomal correlations in tumors of mesodermal origin: the case of rhabdomyosarcoma
Summary:
At the present, the constant struggle in the fight against cancer makes it necessary to understand the mechanisms that dominate on tumorigenesis in order to discover more specialized and more effective drugs at as low a cost as possible. In this research we will use mathematical and physical approaches, in order to analyze complex biological phenomena. We will present a computational and systemic approach by studying the common mechanisms between two childhood neoplasms of mesodermal origin i.e. Acute Lymphoblastic Leukemia (ALL) and Rhabdomyosarcoma (RMS). Using high-efficiency methods, such as microarrays, we will get information at the level of gene expression and try to investigate common gene regulation based on chromosomal correlations. By exploring possible common regulatory mechanisms, we may be able to understand the causes of oncogenesis and the role of cancer stem cells.
The experiments were conducted at Choremeio Research Laboratory. The CCRF-CEM (T cell ALL) and TE-671 (RMS of medulloblastic origin) were used as an experimental model. Using microarrays we have discovered the common patterns of gene expression between the two cell types. Our target was to attempt to find causal relations between gene expression levels with respect to chromosomal location.
Using regression analysis, we found that several genes manifested significant relations. This type of analysis can help to understand the common mechanisms that transform normal cells into malignant. It also reveals a new holistic way of understanding the tumor dynamics as well as the mechanics of oncogenic drivers.
The results of this research are clinically useful for predicting genomic targets that could be further studied in order to discover the mechanics of tumor creation and progression and will contribute to the discovery of new therapeutic approaches.
Main subject category:
Health Sciences
Keywords:
Acute lymphoblastic leukemia, Chromosomal correlations, Mesoderm, Microarrays, Rhabdomyosarcoma
Number of references:
147
