Unit:
Τομέας ΚλινικοεργαστηριακόςLibrary of the School of Health Sciences
Author:
Μακρής Αλέξανδρος
Dissertation committee:
Αν. Καθ. Καρακίτσος Πέτρος (επιβλέπων), Ομ. Καθ. Κίττας Χρήστος, Καθ. Πατσούρης Ευστράτιος
Original Title:
Διερεύνηση όγκων του κεντρικού νευρικού συστήματος με τεχνικές αυτοματοποιημένης κυτταρολογίας και ιστολογίας.
Translated title:
Central nervous system analysis using automated cytological and histological techniques.
Summary:
Tumors of the central nervous system (CNS) may be derived from any cell type of
the brain and supporting structures. Astrocytomas and glioblastoma multiforme
are the most frequently diagnosed forms. Although the histology of tumors
remains the most important variable in determining the prognosis and in many
cases the therapeutic approach as well, various biogenetic and molecular
techniques hold an important position, with the study of DNA being an important
investigation technique.
This study examines the information that can be derived from these techniques,
using flow and image cytometry. In a total of 104 samples of patients with
primary malignant CNS tumors, the DNA index, which expresses the relation of
DNA content of test sample cells in phase G0G1 divided by the DNA content of
normal cells in the same phase, was measured. Other related parameters were
measured as well. A statistical analysis of the results followed, that was
correlated with the tumor grade of malignancy and the patient survival rate,
since they were followed up until they died.
The results demonstrated a relation between high grade of malignancy and
aneuploidy. Prognosis was closely related to ploidy since the difference in
survival was significant between aneuploid and diploid tumors with the latter
clearly demonstrating higher survival rates. Synchronous study of survival
according to the grade of malignancy in conjunction with ploidy status, leads
to interesting results. The same applies for survival rate according to the S
phase fraction and degree of hyperploidy.
We conclude that the results of these cytometry studies are able to allow
better design of therapeutic approach and contribute to determining prognosis
for CNS tumors.
Keywords:
Central nervous system, Glioblastoma, Astrocytoma, DNA ploidy, Cytometry
Number of references:
180
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