scholarly journals VEGF121, is predictor for survival in activated B-cell-like diffuse large B-cell lymphoma and is related to an immune response gene signature conserved in cancers

Oncotarget ◽  
2017 ◽  
Vol 8 (53) ◽  
pp. 90808-90824 ◽  
Author(s):  
Julien Broséus ◽  
Samia Mourah ◽  
Gérard Ramstein ◽  
Sophie Bernard ◽  
Nicolas Mounier ◽  
...  
Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 2951-2951
Author(s):  
Ash A Alizadeh ◽  
Andrew J Gentles ◽  
Sylvia K Plevritis ◽  
Ronald Levy

Abstract Abstract 2951 Poster Board II-927 Background: Expression signatures of infiltrating immune cells [1] have been shown to predict survival in follicular lymphoma (FL), but have not been cross-validated in independent patient cohorts [2,3]. These signatures may relate biologically to the frequency of infiltrating including T-cells and macrophages, or to specific transcription programs within tumor cells and/or the tumor microenvironment. We sought to evaluate the validity of this model in an independent cohort of patients with FL, assessing its relationship to outcomes including histological transformation and death. Methods: The immune response (IR) predictor score proposed by Dave et al. [1] was applied to gene expression data from an independent cohort of 88 FL patients [4] with known survival outcomes and history of transformation to diffuse large B-cell lymphoma (DLBCL). Genes (n=66) corresponding to IR1 and IR2 signatures were mapped from Affymetrix microarrays [1] to a custom cDNA array [4] via Entrez Gene ID, and the composite IR score was calculated per the scheme proposed by Dave et al. Results: The IR score was predictive of patient outcome in the 88 patient test set as a continuous variable (p=0.001, HR=2.01, 95% CI 0.50-1.30). Partitioning of patients into high and low risk groups based on the median IR score across the cohort robustly separated survival curves (Figure A). The IR score was significantly higher in FL patients known to undergo transformation to DLBCL (Figure B: mean IR score of -0.6 in non-transforming FL vs. -0.2 in transforming FL; p∼10-11, t-test). Conclusions: The IR score of Dave et al. was highly significant as a predictor of survival in the independent patient cohort [4]. Moreover, the score was significantly associated with propensity of FL to transform to DLBCL. To our knowledge, immune cell infiltration has not previously been implicated in transformation. 1. Dave SS et al. (2004) Prediction of survival in follicular lymphoma based on molecular features of tumor-infiltrating immune cells. N Engl J Med 351(21): 2159-2169. 2. Tibshirani R (2005) Immune signatures in follicular lymphoma. N Engl J Med 352: 1496-1497. 3. Chu G Hong WJ, Warnke R, Chu G (2005). Immune Signatures in Follicular Lymphoma (Corres). N Engl J Med. 352: 1496-1497. 4. Glas AM et al. (2005) Gene expression profiling in follicular lymphoma to assess clinical aggressiveness and to guide the choice of treatment. Blood 105(1): 301-307. Disclosures: No relevant conflicts of interest to declare.


2020 ◽  
Author(s):  
Issa Ismail Issa ◽  
Rasmus Froberg Brøndum ◽  
Hanne Due ◽  
Linnéa Schmidt ◽  
Martin Bøgsted ◽  
...  

2015 ◽  
Vol 56 (12) ◽  
pp. 3257-3266 ◽  
Author(s):  
Kaspar Rene Nielsen ◽  
Rudi Steffensen ◽  
Thure Mors Haunstrup ◽  
Julie Støve Bødker ◽  
Karen Dybkær ◽  
...  

Haematologica ◽  
2009 ◽  
Vol 95 (3) ◽  
pp. 440-448 ◽  
Author(s):  
P. Van Loo ◽  
T. Tousseyn ◽  
V. Vanhentenrijk ◽  
D. Dierickx ◽  
A. Malecka ◽  
...  

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 616-616
Author(s):  
Jose M. Polo ◽  
Przemyslaw Juszczynski ◽  
Leandro Cerchietti ◽  
Stefano Monti ◽  
Kenny Ye ◽  
...  

Abstract Diffuse large B-cell lymphoma (DLBCL), the most common lymphoid malignancy, is a heterogeneous disease. These tumors are thought to arise from normal antigen-exposed B-cells that have migrated to or through the germinal center (GC). Structural abnormalities of the BCL6 locus (chromosomal translocation and aberrant somatic hypermutation) are the most common genetic abnormalities in DLBCL, occurring in over a third of these tumors. We recently developed a potent and specific BCL6 peptide inhibitor (BPI) that disrupts the interaction between BCL6 and the SMRT co-repressor complex. BPI was cytotoxic against some, but not all, BCL6 positive primary DLBCLs and DLBCL cell lines, indicating that a subset of DLBCLs was particularly dependent on BCL6 for their survival. We predicted that such cases might be identified through a specific BCL6-dependent gene signature and utilized ChIP on chip and a 24,000 promoter genomic microarray to identify BCL6 target genes. In these studies, BCL6 bound to 431 loci. Eighty percent of these candidate target genes contained a canonical BCL6 binding site and 85% of analyzed candidates were confirmed using quantitative single-locus CHIP. GO term enrichment revealed that BCL6 targets were significantly more likely to be genes associated with transcription, ubiquitylation, response to DNA damage, cell cycle and chromatin assembly/disassembly (FDR <.05). We predicted that coordinate regulation of the BCL6 targets would serve as a signature of BCL6 activity. For this reason, we asked whether the BCL6 target gene set was differentially expressed in the recently described DLBCL comprehensive clusters, “B-cell Receptor/Proliferation (BCR),” “Oxidative Phosphorylation (OxPhos),” and Host Response (HR),” using 2 large series of primary DLBCLs with available transcriptional profiles. Since HR tumors are largely defined by infiltrating host inflammatory cells, we focused on BCR and OxPhos DLBCLs. Of interest, BCR tumors more frequently exhibit BCL6 chromosomal translocations and increased BCL6 expression. Consistent with these observations, gene set enrichment analysis (GSEA) revealed highly significant differential expression of BCL6 target genes in BCR vs. OxPhos tumors (p <.0001). In contrast, GSEA of the BCL6 targets in the same DLBCLs sorted into developmental cell-of-origin groups was not significant (“GC” vs. “ABC”/”Other”, p =.25 and “GC” vs. “ABC” only, p =.082). To assess the functional significance of the BCL6 signature in the DLBCL consensus clusters, we generated a predictive algorithm based on the transcriptional profiles of a series of DLBCL cell lines to assign the lines to BCR, OxPhos or HR comprehensive clusters. Five BCR and 3 OxPhos DLBCL cell lines were selected for additional blinded functional analyses. BPI treatment upregulated BCL6 target gene expression in BCR, but not OxPhos, DLBCLs. Furthermore, BPI was significantly more effective in BCR lines than OxPhos DLBCLs (BPI IC50s of BCR vs. Ox Phos lines, 12.7±1.7 μM vs 48.9±2.6 μM, respectively, p<. 0001). Taken together, the data indicate that BCR DLBCLs are significantly more dependent on BCL6 transcriptional repression and more sensitive to targeted BCL6 inhibition. More generally, these studies suggest that DLBCL comprehensive cluster designation will help guide the targeted therapy of biologically discrete DLBCL subsets.


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