Faculty Bibliography

Induction chemotherapy followed by high-dose melphalan (HDM) is the standard treatment for fitter patients with myeloma. The place of bortezomib and the thalidomide analogues within this treatment paradigm is yet to be established. We sought to identify patients who may benefit from the introduction of novel agents during their initial management. An intention-to-treat analysis was performed on 383 patients with newly diagnosed myeloma eligible for HDM to determine whether the extent of response to induction therapy and HDM correlated with long-term survival. Early response [complete response (CR) and partial response (PR)] to induction therapy was predictive of overall survival (OS) [median OS, 7.47 years for responders (CR and PR) versus 4.89 years for non-responders; P = 0.035]. The attainment of CR at 3 months post-HDM correlated with a prolonged progression-free survival (PFS) (median PFS, 7.4 years in CR group versus 5.3 years in non-CR group; P = 0.023). This data suggests that, at every stage of treatment, the aim should be to achieve CR. Patients with suboptimal responses could be offered alternative therapy. We propose a multiparametric risk-adapted model that includes response to induction chemotherapy and HDM, for identifying patients who may benefit from novel approaches to treatment.

This study described the haplotypic structure across a region of chromosome 6 including the tumour necrosis factor (TNF) gene, and investigated its influence on the aetiology of myeloma. A total of 181 myeloma cases from the Medical Research Council Myeloma VII trial and 233 controls from the Leukaemia Research Fund Case Control Study of Adult Acute Leukaemia were included in the analysis. Genotyping by induced heteroduplex generator analysis was carried out for single nucleotide polymorphisms (SNP) located at positions -1031, -863, -857, -308 and -238 of the 5' promoter region of TNF-alpha gene, and 252 in the LT-alpha gene; and five microsatellites, TNFa, b, c, d and e. Haplotypes were inferred statistically using the phase algorithm. A limited diversity of haplotypes was observed, with the majority of variation described by 12 frequent haplotypes. Detailed characterization of the haplotype did not provide greater determination of disease risk beyond that described by the TNF-alpha-308 SNP. Some evidence was provided for a decreased risk of myeloma associated with the TNF-alpha-308 variant allele A, odds ratio, 0.57; 95% confidence interval, 0.38-0.86. The results of this study did not support our starting hypothesis; that high producer haplotypes at the TNF locus are associated with an increased risk of developing myeloma.

In this article, we will discuss how treatment strategies for myeloma have evolved and outline the challenges now faced following the introduction of a number of novel active agents. In particular, we will focus on how achieving a maximum response and maintaining such responses is becoming a key therapeutic strategy and how novel agents can be used to achieve this in the context of current strategies such as autologous transplantation.

We have assessed autologous stem cell transplantation after treatment with fludarabine in previously untreated patients with chronic lymphocytic leukemia (CLL). This study is the first to enroll previously untreated patients and follow them prospectively. The initial response rate to fludarabine was 82% (94 of 115 patients). Stem cell mobilization was attempted in 88 patients and was successful in 59 (67%). Overall 65 of 115 patients (56%) entered into the study proceeded to autologous transplantation. The early transplant-related mortality rate was 1.5% (1 of 65 patients). The number of patients in complete remission after transplantation increased from 37% (24 of 65) to 74% (48 of 65), and 26 of 41 patients (63%) who were not in complete remission at the time of their transplantation achieved a complete remission after transplantation. The 5-year overall and disease-free survival rates from transplantation were 77.5% (CI, 57.2%-97.8%) and 51.5% (CI, 33.2%-69.8%), respectively. None of the variables examined at study entry were found to be predictors of either overall or disease-free survival. Sixteen of 20 evaluable patients achieved a molecular remission on a polymerase chain reaction (PCR) for immunoglobulin heavy-chain gene rearrangements in the first 6 months following transplantation. Detectable molecular disease by PCR was highly predictive of disease recurrence. It is of concern that 5 of 65 (8%) patients developed posttransplant acute myeloid leukemia/myelodysplastic syndrome.

PURPOSE/OBJECTIVE:Our purpose in this report was to define genes and pathways dysregulated as a consequence of the t(4;14) in myeloma, and to gain insight into the downstream functional effects that may explain the different prognosis of this subgroup. EXPERIMENTAL DESIGN/METHODS:Fibroblast growth factor receptor 3 (FGFR3) overexpression, the presence of immunoglobulin heavy chain-multiple myeloma SET domain (IgH-MMSET) fusion products and the identification of t(4;14) breakpoints were determined in a series of myeloma cases. Differentially expressed genes were identified between cases with (n = 5) and without (n = 24) a t(4;14) by using global gene expression analysis. RESULTS:Cases with a t(4;14) have a distinct expression pattern compared with other cases of myeloma. A total of 127 genes were identified as being differentially expressed including MMSET and cyclin D2, which have been previously reported as being associated with this translocation. Other important functional classes of genes include cell signaling, apoptosis and related genes, oncogenes, chromatin structure, and DNA repair genes. Interestingly, 25% of myeloma cases lacking evidence of this translocation had up-regulation of the MMSET transcript to the same level as cases with a translocation. CONCLUSIONS:t(4;14) cases form a distinct subgroup of myeloma cases with a unique gene signature that may account for their poor prognosis. A number of non-t(4;14) cases also express MMSET consistent with this gene playing a role in myeloma pathogenesis.

OBJECTIVES/OBJECTIVE:To determine the progression-free survival at 12 weeks, to evaluate the toxic effects, and to analyze the biological activity of thalidomide in patients with relapsed multiple myeloma (MM) after high-dose chemotherapy and stem cell transplantation. PATIENTS AND METHODS/METHODS:From 1999 to 2001, we performed a multicenter prospective phase 2 study in patients with MM that relapsed after high-dose chemotherapy and stem cell transplantation to evaluate the efficacy of oral thalidomide, with dose escalation from 200 to 600 mg/d over 12 weeks and a subsequent maintenance phase of 200 mg/d for up to 1 year. Outcome was correlated with serum and plasma levels of vascular endothelial growth factor and serum levels of tumor necrosis factor alpha, soluble intercellular adhesion molecule 1, interferon gamma, interleukin (IL) 2, and IL-6 during treatment. RESULTS:Thirty patients were treated (19 men and 11 women; median age, 58 years). The median number of prior therapies was 5, and the median duration from diagnosis of MM to study enrollment was 4.3 years. The 12-week progression-free survival rate was 67% (95% confidence interval [CI], 48%-86%). The observed response rate (partial response plus minor response) was 43% (95% CI, 28%-60%) with a median duration of 6 months. Attributable toxicities included constipation, fatigue, rash, and neuropathy, which was dose limiting in 8 patients (27%). Dose escalation from 200 to 600 mg/d was achieved in 50% of patients. Although responses were observed with lower doses, possibly eliminating the need to escalate the dose, responses were also seen in patients who completed the dose escalation. Some patients had disease progression while receiving the maintenance dose of 200 mg/d. Analysis of biomarker assays did not identify any biomarker associated with greater response, but a significant increase in levels of soluble intercellular adhesion molecule 1, IL-2, and interferon gamma was seen with thalidomide therapy. CONCLUSION/CONCLUSIONS:The optimal thalidomide dose varies, and adverse effects can be dose limiting. The dose of thalidomide therapy should be based on the individual patient to ensure that it is well tolerated and that a response is achieved.

Multiple myeloma (MM) cells express certain tumour-associated antigens (TAAs) that could serve as targets for active-specific immunotherapy. The aim of the present study was to test the MM/dendritic cell (DC) fusion as a vaccination strategy. We fused MM cells with DC to generate fusion cells (FCs) and tested their antigen presenting cell (APC) function in mixed lymphocyte reactions and cytotoxicity assays. First, the HS Sultan and SK0-007 HAT sensitive human MM cell lines and DCs generated from peripheral blood of normal donors were fused in the presence of 50% polyethylene glycol to form FCs. Next, tumour cells freshly isolated from patients were similarly fused with autologous DCs to generate FCs. The FCs demonstrated a biphenotypic profile, confirmed both by flow-cytometry and dual immunofluorescence microscopy. These FCs induced MM-specific cytotoxicity. FCs, but not MM cells or DCs alone, were potent stimulators of autologous patient T cells. More importantly, FC-primed autologous peripheral blood mononuclear cells demonstrated major histocompatibility complex-restricted MM-specific cytolysis. These studies therefore demonstrated that MM/DC FC can trigger an autologous immune response to MM cells and formed the framework for a clinical trial currently underway.

Understanding haematological malignancies at the protein level is important as the development of targeted treatments must be based on knowledge regarding the molecular pathogenesis of the tumour, inherited genetic variation and the mode of action of drugs. 'Proteomics' describes the analysis of the entire proteome of a cell or tissue and incorporates multiple technologies including Western blotting, two-dimensional gel electrophoresis, mass spectrometry, and ProteinChip-based technology. Although there are a limited number of studies to date in haematology those performed highlight the potential future impact of these technologies in the discovery of novel markers, proteins associated with drug resistance and the identification of tumour biomarkers which may facilitate the development of a rapid diagnostic test easily applicable in the clinical setting. Rapid large-scale analysis of the proteome in normal pathways and disease offers the opportunity of identification of potential diagnostic/prognostic markers and proteins associated with the malignant phenotype. This review discusses the current situation regarding the use of these technologies and the potential opportunities their future use may offer in the field of haematology.

Genetic heterogeneity between individuals confounds the comparison of gene profiling of multiple myeloma (MM) cells versus normal plasma cells (PCs). To overcome this barrier, we compared the gene expression profile of CD138+ MM cells from a patient bone marrow (BM) sample with CD138+ PCs from a genetically identical twin BM sample using microarray profiling. Two hundred and ninety-six genes were up-regulated and 103 genes were down-regulated at least 2-fold in MM cells versus normal twin PCs. Highly expressed genes in MM cells included cell survival pathway genes such as mcl-1, dad-1, caspase 8, and FADD-like apoptosis regulator (FLIP); oncogenes/transcriptional factors such as Jun-D, Xbp-1, calmodulin, Calnexin, and FGFR-3; stress response and ubiquitin/proteasome pathway-related genes and various ribosomal genes reflecting increased metabolic and translational activity. Genes that were down-regulated in MM cells versus healthy twin PCs included RAD51, killer cell immunoglobulin-like receptor protein, and apoptotic protease activating factor. Microarray results were further confirmed by Western blot analyses, immunohistochemistry, fluorescent in situ hybridization (FISH), and functional assays of telomerase activity and bone marrow angiogenesis. This molecular profiling provides potential insights into mechanisms of malignant transformation in MM. For example, FGFR3, xbp-1, and both mcl-1 and dad-1 may mediate transformation, differentiation, and survival, respectively, and may have clinical implications. By identifying genes uniquely altered in MM cells compared with normal PCs in an identical genotypic background, the current study provides the framework to identify novel therapeutic targets.