scholarly journals Combination of Bcl-2 and MYC protein expression improves high-risk stratification in diffuse large B-cell lymphoma

2015 ◽  
pp. 2645 ◽  
Author(s):  
Jing Wang ◽  
Min Zhou ◽  
Jing-Yan Xu ◽  
Bing Chen ◽  
Jian Ouyang
Haematologica ◽  
2020 ◽  
Vol 105 (11) ◽  
pp. 2667-2670 ◽  
Author(s):  
Marita Ziepert ◽  
Stefano Lazzi ◽  
Raffaella Santi ◽  
Federica Vergoni ◽  
Massimo Granai ◽  
...  

2008 ◽  
Vol 62 (1) ◽  
pp. 77-79 ◽  
Author(s):  
A E Hallack Neto ◽  
S A C Siqueira ◽  
F L Dulley ◽  
M A Ruiz ◽  
D A F Chamone ◽  
...  

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 2656-2656
Author(s):  
David Simon Kliman ◽  
Louise Imlay-Gillespie ◽  
Kirsten McIlroy ◽  
Anthony Gill ◽  
Christopher Arthur ◽  
...  

Abstract Background Though the majority of patients (pts) with newly diagnosed diffuse large B-cell lymphoma (DLBCL) are curable with R-CHOP chemotherapy, a significant proportion will relapse or have refractory disease. The most commonly used clinical tool is the international prognostic index (IPI), though this cannot fully capture the heterogeneity of cases seen in practice. In recent years biomarkers such as MYC are entering clinical use. Pts with lymphomas demonstrating dual abnormalities of MYC in association with BCL2 and/or BCL6-known as 'double-hit' lymphomas are consistently shown to have poorer disease free and overall survival. While Fluorescence in-situ hybridization (FISH) for MYC translocation is the gold-standard, immunohistochemistry (IHC) is faster and significantly cheaper. Studies in recent years have confirmed the prognostic significance of increased MYC expression by IHC. Due to significant inter-laboratory variability however, internal validation is required. Methods Tissue samples of pts treated at Royal North Shore Hospital in Sydney, Australia between 2003-2012 were retrospectively assessed. Pts were included if they were transplant eligible (age <70 years), and had been treated for de novo DLBCL with a rituximab containing regimen. Samples were scored for MYC IHC as well as BCL2 and BCL6. Clinical data including IPI score, treatment and outcomes were also collected. Treatments were stratified into standard R-CHOP-like versus more intensive regimens including R-Hyper-CVAD and dose-adjusted R-EPOCH. A significant cut-off for MYC staining was determined using X-Tile (Rimmlab, New Haven, CT) and confirmed with the log-rank test. Estimation of OS and EFS was performed using the Kaplan-Meier method. Pt characteristics were compared using Chi-squared test. Statistical analysis was performed using MedCalc 15.4 (MedCalc software, Ostend, Belgium). Ethics approval was received for a retrospective study. Results 105 patients met study criteria. The 5 year OS and EFS was 86% and 77% respectively (Figure 1 and 2). The optimal cut-off for positive MYC IHC was >70%. This was seen in 23% of samples. From the 13 cases with MYC FISH results, the positive and negative predictive values of positive MYC IHC were 50% and 92% respectively. There was no significant difference between the MYC positive and negative groups with respect to demographics or IPI score (Table 1). Significantly more patients with MYC positivity received intensive treatment (37% versus 16%, p=0.047). Despite this, 5 year OS was significantly poorer at 51% versus 87% at median follow-up of 40 months (P=0.0025, Figure 3). There was a trend towards worse EFS at 61% versus 75% though this did not reach statistical significance (P=0.242). On multivariate analysis, MYC IHC and IPI score were the only independent prognostic factors. Based on the relative odds ratio, a combined scoring system was designed, attributing 1 point for positive MYC IHC and/ or IPI intermediate-high risk, and 2 points for IPI high risk. This resulted in 4 risk groups with significantly different 5 year OS of 94%, 78%, 45% and 0% (P<0.0001). Discussion MYC IHC is of independent prognostic significance. Due to significant variability between laboratories, local validation is required. A composite score combining IPI and MYC IHC is simple to calculate and may provide better prognostic utility than either factor alone. Ongoing prospective studies investigating the role of clinical risk stratification and newer biomarkers are required to identify patients likely to need more intensive or novel therapies. Figure 1. Figure 1. Disclosures Imlay-Gillespie: Novartis: Honoraria. Arthur:Amgen: Honoraria; Novartis: Honoraria; BMS: Honoraria. Mackinlay:Roche: Research Funding; Sanofi Aventis: Research Funding. Mulligan:Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Speakers Bureau; Roche: Consultancy, Honoraria, Research Funding, Speakers Bureau; Sanofi Aventis: Research Funding.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 1618-1618
Author(s):  
Karin Fjordén ◽  
Frida Pauly ◽  
Sirpa Leppä ◽  
Harald Holte ◽  
Magnus Björkholm ◽  
...  

Abstract Background Despite recent advances in molecular profiling of diffuse large B-cell lymphoma (DLBCL), only a few biomarkers currently have an impact on treatment. In a previous study we could observe the heterogeneity of DLBCL in the plasma immunoprofile from DLBCL patients, by use of recombinant antibody microarrays. By unsupervised hierarchical clustering, an immunoprofile of 23 plasma proteins could divide patients into two subgroups with significantly different overall survival (OS). In this study we aimed to expand the immunoprofiling with longitudinal plasma samples from high risk DLBCL patients, to search for novel prognostic and potentially predictive markers. Material and Methods Plasma samples from 126 high risk DLBCL patients included in a phase II clinical trial of the Nordic Lymphoma Group (CRY04) were collected at diagnosis, during and after treatment, and in the event of progression or relapse. Inclusion criteria were age 18-65 years, primary diffuse large B-cell lymphoma without CNS involvement, age-adjusted International Prognostic Index (aaIPI) 2-3 and WHO performance score 0-3. Six courses of R-CHOEP-14 were given followed by systemic CNS prophylaxis with one course of high-dose cytarabine and one course of high-dose methotrexate. Additionally, age and sex matched controls (n = 40) were included. Two hundred and eighty-three recombinant scFv antibody fragments directed against 97 known serum antigens, mainly immunoregulatory proteins, were selected from phage display libraries to be used in the antibody microarrays. Results Immunoprofiles distinguishing DLBCL patients from healthy controls were identified. Furthermore, a different protein expression was found in patients with aaIPI 3 versus 2 as well as in patients with shorter versus longer progression free survival (PFS). The kinases CDK-2 and BTK were upregulated both in patients with higher aaIPI score and in patients with shorter PFS. Comparing the patients who developed disease progression with those who did not, seven differentially deregulated proteins were identified including the phosphatase PTP-1B, the chemokine MCP-1, and the cytokines IL-4, IL-6 and IL-12, all previously implicated in B-cell lymphoma pathogenesis. In addition, results showed that subdivision of patients according to immunoprofile as defined in our previous study, could be performed also in the present patient cohort. The immunoprofile comprises T-helper (TH)1 cytokines, TH2 cytokines, complement proteins, chemokines, enzymes, and membrane proteins. The 23 included proteins are β-galactosidase, C1 esterase inhibitor, C4, C5, Cystatin C, Eotaxin, GLP-1 R, GM-CSF, HLA-DR/DP, IgM, IL-1ra, IL- 2, IL- 3, IL- 6, IL- 10, IL- 12, Leptin, MCP-1, MCP-3, Mucin-1, PSA, TNF-α, and TNF-β. Although not significant, a potential association to PFS and OS could be observed between the two generated subgroups. Finally, expression of IL-10 was shown to improve the prognostic value of aaIPI regarding both PFS and OS. Conclusion Protein expression profiling of plasma from high risk DLBCL patients provided novel insights into the biology of DLBCL. New candidate prognostic markers were identified which could potentially guide us in the prediction of outcome and in the choice of treatment for DLBCL patients. However, as this study was aimed for discovery, the findings must be validated in future studies with independent patient cohorts. Disclosures No relevant conflicts of interest to declare.


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