Open Access
Hypermethylation of p15 Gene in Diffuse – Large B‐Cell Lymphoma: Association with Less Aggressiveness of the Disease
Author(s) -
Krajnović Milena,
Jovanović Maja Peruničić,
Mihaljević Biljana,
Anđelić Boško,
Tarabar Olivera,
KneževićUšaj Slavica,
Krtolica Koviljka
Publication year - 2014
Publication title -
clinical and translational science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.303
H-Index - 44
eISSN - 1752-8062
pISSN - 1752-8054
DOI - 10.1111/cts.12162
Subject(s) - methylation , international prognostic index , lymphoma , diffuse large b cell lymphoma , medicine , rituximab , oncology , dna methylation , lactate dehydrogenase , gastroenterology , cancer research , gene , biology , gene expression , genetics , enzyme , biochemistry
Abstract In this study, methylation‐specific polymerase chain reaction was used to investigate the potential prognostic significance of the methylation status of p15 , p16, MGMT , and DAPK genes in 51 specimens of diffuse large B‐cell lymphoma (DLBCL). Hypermethylation of p15 gene was significantly more prevalent in patients without relapse ( p = 0.001) and there was a trend toward more frequent presence of p15 methylation in patients without death outcome within 5‐year follow‐up period ( p = 0.086) Also, there was a trend toward accumulation of p15 methylation with favorable clinicopathological parameters including: age ≤ 60 years ( p = 0.091), normal levels of lactate dehydrogenase ( p = 0.090), Eastern Cooperative Oncology Group performance status < 2 ( p = 0.095), and low/intermediate low International Prognostic Index ( p = 0.076). In the female group and group of the patients without bulky tumor mass, treated with chemotherapeutic regimens including rituximab, methylation of p15 was significantly related to longer overall survival ( p = 0.036 and 0.027, respectively). Our results suggest that promoter methylation of p15 gene could have prognostic value in DLBCL patients treated with rituximab when used in combination with gender and tumor size.