[Correlation between loss of heterozygosity on chromosome 1p and 19q and expression of MGMT, p53 and Ki-67 proteins in gliomas]

Abstract

Objective: To study the correlation of loss of heterozygosity (LOH) on chromosome 1p and 19q with the expression of MGMT, p53 and Ki-67 proteins in gliomas.

Methods: One hundred and forty six cases of gliomas (45 oligodendrogliomas, 42 oligodendroastrocytomas, and 59 astrocytomas) were included in this study. Their tissue and blood samples were retrospectively analyzed by PCR-denaturing high-performance liquid chromatography (DHPLC) for 1p and 19q status and by immunohistochemistry for MGMT, p53 and Ki-67 expression patterns. The correlation among them and with clinicopathological characteristics were analyzed by chi-square test and t-test.

Results: In the oligodendrogliomas, the positive rate of 1p LOH was 59.8%, significantly higher than 33.9% in astrocytomas (P = 0.002), and 1p and 19q LOH was 42.5%, significantly higher than 16.9% in astrocytomas (P = 0.001). Combined with LOH on 1p and 19q, low MGMT expression (65.5%), and high Ki-67 expression (54%) were more frequent in oligodendrogliomas, whereas high p53 expression was more frequent in astrocytomas and mixed tumors (75.2%). 1p LOH (72.5%) and low MGMT (87.5%) expressions were more frequent in grade II oligodendrogliomas, whereas high expressions of p53 (83.0%) and Ki-67 (76.6%) were more frequent in grade III oligodendrogliomas. In addition, high Ki-67 expression was more frequent in grade III astrocytomas. LOH on 1p and 19q LOH was more frequent in nontemporal oligodendrogliomas (55.6%) than that in temporal ones (22.2%, P = 0.002). Non-random associations were found between LOH 1p and 19q LOH, MGMT and p53 protein expressions, and MGMT and Ki-67 protein expressions (all P < 0.05), whereas mutual exclusions were found between LOH on 1p and 19q and p53 expression, and LOH 1p and Ki-67 expression.

Conclusions: There is a significant interrelationship of the investigated molecular markers and clinicopathological features of gliomas, which support a promising role of molecular markers in guiding diagnostic assessment and clinical management of gliomas.