The Use of Molecular Profiling to Predict Survival after Chemotherapy for Diffuse Large-B-Cell LymphomaAndreas Rosenwald, George W. Wright, Wing C. Chan et al.|New England Journal of Medicine|2002 BACKGROUND: The survival of patients with diffuse large-B-cell lymphoma after chemotherapy is influenced by molecular features of the tumors. We used the gene-expression profiles of these lymphomas to develop a molecular predictor of survival. METHODS: Biopsy samples of diffuse large-B-cell lymphoma from 240 patients were examined for gene expression with the use of DNA microarrays and analyzed for genomic abnormalities. Subgroups with distinctive gene-expression profiles were defined on the basis of hierarchical clustering. A molecular predictor of risk was constructed with the use of genes with expression patterns that were associated with survival in a preliminary group of 160 patients and was then tested in a validation group of 80 patients. The accuracy of this predictor was compared with that of the international prognostic index. RESULTS: Three gene-expression subgroups--germinal-center B-cell-like, activated B-cell-like, and type 3 diffuse large-B-cell lymphoma--were identified. Two common oncogenic events in diffuse large-B-cell lymphoma, bcl-2 translocation and c-rel amplification, were detected only in the germinal-center B-cell-like subgroup. Patients in this subgroup had the highest five-year survival rate. To identify other molecular determinants of outcome, we searched for individual genes with expression patterns that correlated with survival in the preliminary group of patients. Most of these genes fell within four gene-expression signatures characteristic of germinal-center B cells, proliferating cells, reactive stromal and immune cells in the lymph node, or major-histocompatibility-complex class II complex. We used 17 genes to construct a predictor of overall survival after chemotherapy. This gene-based predictor and the international prognostic index were independent prognostic indicators. CONCLUSIONS: DNA microarrays can be used to formulate a molecular predictor of survival after chemotherapy for diffuse large-B-cell lymphoma.
IL-8 Directly Enhanced Endothelial Cell Survival, Proliferation, and Matrix Metalloproteinases Production and Regulated AngiogenesisAihua Li, Seema Dubey, Michelle L Varney et al.|The Journal of Immunology|2003 IL-8, a member of the chemokine family, has been shown to play an important role in tumor growth, angiogenesis, and metastasis. The objective of this study was to determine the mechanism of IL-8-mediated angiogenesis. We examined the direct role of IL-8 in angiogenesis by examining IL-8 receptor expression on endothelial cells and their proliferation, survival, and matrix metalloproteinases (MMPs) production. We demonstrate that HUVEC and human dermal microvascular endothelial cells constitutively express CXCR1 and CXCR2 mRNA and protein. Recombinant human IL-8 induced endothelial cell proliferation and capillary tube organization while neutralization of IL-8 by anti-IL-8 Ab blocks IL-8-mediated capillary tube organization. Incubation of endothelial cells with IL-8 inhibited endothelial cell apoptosis and enhanced antiapoptotic gene expression. Endothelial cells incubated with IL-8 had higher levels of Bcl-x(L):Bcl-x(S) and Bcl-2:Bax ratios. Furthermore, incubation of endothelial cells with IL-8 up-regulated MMP-2 and MMP-9 production and mRNA expression. Our data suggest that IL-8 directly enhanced endothelial cell proliferation, survival, and MMP expression in CXCR1- and CXCR2-expressing endothelial cells and regulated angiogenesis.
The proliferation gene expression signature is a quantitative integrator of oncogenic events that predicts survival in mantle cell lymphomaMolecular Diagnosis of Burkitt's LymphomaSandeep S. Davé, Kai Fu, George W. Wright et al.|New England Journal of Medicine|2006 BACKGROUND: The distinction between Burkitt's lymphoma and diffuse large-B-cell lymphoma is crucial because these two types of lymphoma require different treatments. We examined whether gene-expression profiling could reliably distinguish Burkitt's lymphoma from diffuse large-B-cell lymphoma. METHODS: Tumor-biopsy specimens from 303 patients with aggressive lymphomas were profiled for gene expression and were also classified according to morphology, immunohistochemistry, and detection of the t(8;14) c-myc translocation. RESULTS: A classifier based on gene expression correctly identified all 25 pathologically verified cases of classic Burkitt's lymphoma. Burkitt's lymphoma was readily distinguished from diffuse large-B-cell lymphoma by the high level of expression of c-myc target genes, the expression of a subgroup of germinal-center B-cell genes, and the low level of expression of major-histocompatibility-complex class I genes and nuclear factor-kappaB target genes. Eight specimens with a pathological diagnosis of diffuse large-B-cell lymphoma had the typical gene-expression profile of Burkitt's lymphoma, suggesting they represent cases of Burkitt's lymphoma that are difficult to diagnose by current methods. Among 28 of the patients with a molecular diagnosis of Burkitt's lymphoma, the overall survival was superior among those who had received intensive chemotherapy regimens instead of lower-dose regimens. CONCLUSIONS: Gene-expression profiling is an accurate, quantitative method for distinguishing Burkitt's lymphoma from diffuse large-B-cell lymphoma.
<i>BCL2</i> Expression Is a Prognostic Marker for the Activated B-Cell–Like Type of Diffuse Large B-Cell LymphomaBACKGROUND: The role of BCL2 as a predictor of survival in diffuse large B-cell lymphoma (DLBCL) is controversial. DLBCL is heterogeneous, and the expression of BCL2 is variable within the two major subgroups of DLBCL, germinal center B-cell-like (GCB) and activated B-cell-like (ABC) DLBCL, as well as primary mediastinal DLBCL. PATIENTS AND METHODS: In this study, we investigated the correlation of BCL2 expression with survival in the two major subgroups of DLBCL, as well as the mechanisms of BCL2 expression. RESULTS: There was no significant correlation between BCL2 protein expression and overall survival within the GCB subgroup, but BCL2 expression had a significant adverse effect on overall survival within the ABC subgroup (P = .008). This correlation was also observed at the mRNA level (P < .04). The difference remained significant when the analyses were performed at different cutoff values. The t(14;18) was frequently observed in the GCB subgroup and was highly associated with BCL2 expression. Patients with ABC DLBCL did not exhibit t(14;18) but had a markedly higher frequency of chromosome 18q21 amplification, on which BCL2 resides. Thus, alternative mechanisms such as 18q21 amplification or activation of the nuclear factor-kappa B pathway, as reported previously, seem to be mainly responsible for the upregulation of BCL2 expression in the ABC subgroup. CONCLUSION: Treating all DLBCL as a single entity ignores the mechanistic differences in BCL2 upregulation and obscures the prognostic significance of BCL2 expression. Hence, the significance of BCL2 and other biomarkers should be assessed in the context of DLBCL subgroups in future studies.