Methylation Profiles of p16, p15 and p14 Genes in Korean Patients with Multiple Myeloma.

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 1504-1504 ◽  
Author(s):  
Seong-Ho Kang ◽  
Dong Soon Lee ◽  
Tae Young Kim ◽  
Hyun Jung Min ◽  
Bo Ra Oh ◽  
...  

Abstract Dysruption of cell cycle control genes (p16, p15 and p14) is known to be involved in the tumorigenesis of multiple myeloma (MM). We investigated the inactivation status of p16, p15 and p14 genes using promoter methylation study and fluorescent in situ hybridization (FISH) study in patients with MM and analyzed the association of inactivation of those genes and clinical prognosis.MM Promoter methylation study of p16, p14 and p15 gene was done with newly diagnosed 52 patients with by bisulfite modification and methylation specific PCR. Two sets of primers were used for p16 methylation study and one set of primer was used for p15, p14 methylation study. Deletion of p16, p14 and p15 gene was detected by dual color FISH (Vysis, Downers GroveIL, USA). Overall survival was analyzed by Kaplan Meier Method and Cox’s proportional hazard model. Methylation of p16, p15 and p14 promotor was detected in 36/52 (69.2%), 15/52(28.8%) and 7/52 (13.5%) patients with MM, respectively. Methylation of any of p16, p15 or p14 promotor was observed in 44/52 (84.6%) of MM patients Deletion of p16, p15 and p14 was detected in only one of the patients with MM. Of note, in the cases (15/52, 28.8%) showing that in cases with two positive methylation specific PCR of the p16 promotor with two sets of primers, significant lower overall survival rate (p<0.036) were observed compared with only one positive methylation specific PCR. Heavy methylation of p16 protomor was a independent predictive variable for overall survival [Hazard Ratio, 3.74; 95% CI, 1.44–9.68, P = 0.007]. Other adverse prognostic factors by univariate analysis were old age (p=0.014), β2-microglobuline (p=0.026), high serum creatinine levels (≥2.0 mg/dL, p=0.014). More than 80% of MM patients showed the methylation of any of p16, p15 or p14 promotor, which suggest the potential applicability of hypomethlyating agents to MM. The promoter methylation of p16, p14 or p15 was a major contributor to the disruption of cell cycle regulation in MM, whereas both the deletion and/or the promoter methylation of p16, p14, and p15 contributed to the disruption of cell cycle regulation in ALL. In our study, methylation of two positive methylation specific PCR of the p16 promotor was an independent adverse prognostic factor in MM. We infer that quantitative methylation study for p16 promotor is helpful for the evaluation of prognosis. Figure 1. Overall survival analysis of patients with according to p16 methylation amount (P = 0.036) Figure 1. Overall survival analysis of patients with according to p16 methylation amount (P = 0.036)

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4464-4464
Author(s):  
Hearn Jay Cho ◽  
Anna Huo-Chang Mei ◽  
Kaity Tung ◽  
Jessie Han ◽  
Deepak Perumal ◽  
...  

Abstract The type I Melanoma Antigen Gene (MAGE) A3 is a promising functional target in multiple myeloma (MM). MAGE-A3 expression in primary MM specimens is associated with proliferation and progression of disease. Previous laboratory studies showed that MAGE-A3 inhibits p53-dependent and independent apoptosis and cell cycle regulation in human myeloma cell lines (HMCL) and primary cells. We investigated the mechanisms of these oncogenic activities in laboratory models and through analysis of gene expression and clinical outcome data. Gene expression profiling (GEP) by RNA sequencing (RNAseq) of p53+/+ HMCL MM.1r and H929 after MAGE-A knockdown identified a set of 201 differentially expressed genes (DEG, p<0.05). Of the top DEGs, eight were BH3-only Bcl-2 family members (BAX, BCL2L11/BIM, BBC3/PUMA, BMF, BCL2L14/BCLG) or apoptotic pathway genes (TNFRSF10B/TRAILR2, CASP3, TRIAP1). Four of the top DEGs were cell cycle regulation genes (TRAF4, CDKN1A/p21CIP1, TRIM5, MAP2K6/MEK6) and three were DNA binding/damage repair genes (APOBEC3B, DDB2, ARID3A). We interrogated protein expression after MAGE knockdown and demonstrated significantly increased levels of pro-apoptotic BIM, but other Bcl-2 proteins were either not altered or not detected. BIM protein stability is regulated by serine phosphorylation, which leads to subsequent ubiquitinylation and degradation. MAGE knockdown resulted in higher levels of ser69- and ser77-phosphorylated BIM, indicating that MAGE does not affect phosphorylation but likely mediates further post-translational modification and degradation. We also detected increased levels of the endogenous cyclin-dependent kinase (CDK) inhibitor p21Cip1, which correlated with the GEP results. Depletion of MAGE-A in HMCL increased the sensitivity to induction of apoptosis by the alkylating agent melphalan but not to proteasome inhibition, suggesting that inhibition of BIM expression may contribute to chemotherapy resistance. To assess the clinical significance of these mechanisms, we analyzed RNAseq data from the iA9 release of the Multiple Myeloma Research Foundation CoMMpass database of more than 650 newly diagnosed MM patients based on high or low MAGEA3expression, which revealed a set of significantly DEGs (p<0.05) that included several MAGE family members and related X-linked genes. Gene set enrichment analysis demonstrated associations with cell cycle and DNA replication pathways, similar to that observed in HMCL. We ranked subjects based on MAGEA3 mRNA expression levels and correlated the highest (219 subjects) and lowest quartiles (212 subjects) with clinical outcome, which showed that the MAGEA3high group had worse overall survival (Hazard Ratio = 2.5, p<0.01, data not shown). This survival difference was even more striking in the subgroup of subjects that had undergone high dose melphalan chemotherapy and autologous stem cell transplantation (ASCT, fig.). MAGEA3 high subjects (39 subs) had worse progression-free (p<0.1) and overall survival (p<0.01) compared to the lowest (37 subs). These results demonstrate that MAGE-A3 negatively regulates BIM at both the transcriptional and post-translational levels, which favor survival and resistance to chemotherapy. MAGE-A3 also inhibits p21Cip1transcription and protein expression, likely through ubiquitinylation and degradation of p53 protein, which promotes passage through the early G1 checkpoint and proliferation. These mechanisms are a biochemical basis for MAGE-A3-mediated resistance to chemotherapy-induced apoptosis and the associations with progression of disease and tumor proliferation. These results provide a rationale to investigate methods to inhibit MAGE-A3 activity in MM. Disclosures Cho: Janssen: Consultancy; F. Hoffmann-La Roche Ltd: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Agenus Inc.: Research Funding; BMS: Membership on an entity's Board of Directors or advisory committees; J & J: Consultancy; Genentech Inc: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Chari:Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; The Binding Site: Consultancy; Bristol Myers Squibb: Consultancy; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharmacyclics: Research Funding; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees; Array Biopharma: Research Funding; Adaptive Biotechnology: Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Jagannath:Medicom: Speakers Bureau; Merck: Consultancy; Multiple Myeloma Research Foundation: Speakers Bureau; Bristol-Myers Squibb: Consultancy; Novartis: Consultancy; Celgene: Consultancy.


1999 ◽  
Vol 78 (1) ◽  
pp. 13-18 ◽  
Author(s):  
M. T. Petrucci ◽  
M. R. Ricciardi ◽  
C. Ariola ◽  
C. Gregorj ◽  
M. Ribersani ◽  
...  

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