Faculty Bibliography

Monoclonal immunoglobulin free light chains (FLC) are found in the serum and urine of patients with a number of B-cell proliferative disorders, including multiple myeloma. Automated immunoassays, which can measure FLC in serum, are useful for the diagnosis and monitoring of light chain (AL) amyloidosis, Bence Jones myeloma and non-secretory myeloma patients. We report the results of a study investigating the utility of serum FLC measurements in myeloma patients producing monoclonal intact immunoglobulin proteins. FLC concentrations were measured in presentation sera from 493 multiple myeloma patients with monoclonal, intact immunoglobulin proteins. Serial samples were assayed from 17 of these patients and the FLC measurements were compared with other disease markers. Serum FLC concentrations were abnormal in 96% of patients at presentation. FLC concentrations fell more rapidly in response to treatment than intact immunoglobulin G (IgG) and showed greater concordance with serum beta2 microglobulin concentrations and bone marrow plasma cell assessments. It was concluded that serum FLC assays could be used to follow the disease course in nearly all multiple myeloma patients. In addition, because of their short serum half-life, changes in serum FLC concentrations provide a rapid indication of the response to treatment.

We describe the characterization of the genomic DNA breakpoints of two multiple myeloma (MM) patients with t(11;14). IGH translocation events are present in many MM tumors, and it is proposed that they occur early in the pathogenesis, based on the assumption that the translocations are simple reciprocal events mediated by errors in class-switch recombination (CSR). We provide evidence from two patients that the translocation event can be more complex, with DNA from chromosome band 11q13 joined to apparently already recombined hybrid (Smu/Sgamma) switch region sequences. In one case, there was also evidence that a further rearrangement had occurred at the t(11;14) recombination site, resulting in an inversion of 40 bp of the 5'Smu flanking sequence. This suggests that primary IGH arrangements in MM may be more complex than previous myeloma models have suggested, but that they essentially occur through illegitimate CSR events.

In this chapter, we apply the molecular epidemiological paradigm of biomarkers of exposure, early effect and susceptibility to causal models of leukaemia and lymphoma. The aim is to enhance the development of biomarkers for use in studying the causes of these haematopoeitic cancers in the general population. Two causal models of acute myeloid leukaemia are discussed in detail: chemotherapy-induced and benzene-induced acute myeloid leukaemia. Specific chromosomal changes found in acute myeloid leukaemia may serve as useful biomarkers of early effect in these models, and genetic variants in glutathione S-transferases, NQO1 and DNA-repair enzymes may serve as useful biomarkers of susceptibility. Several causal models of lymphoma exist in which biomarkers could be developed and validated. These include human immunodeficiency virus (HIV) immunosuppression, families with inherited disorders and workers exposed to petroleum products, pesticides or organochlorines. Biomarkers of early effect could include markers of DNA double-strand breaks and aberrant V(D)J recombination, and susceptibility may be related to polymorphisms in genes controlling DNA repair and immunological status. We predict that biomarkers of susceptibility will continue to be studied in the case-control format, perhaps in large pooled studies, but that for biomarkers of early effect, there will be a move away from the study of diseased populations to the study of individuals 'at risk' in the causal models described above.

Genetic instability is a prominent feature in multiple myeloma and progression of this disease from monoclonal gammopathy of uncertain significance (MGUS) and smouldering myeloma (SMM) is associated with increasing molecular and chromosomal abnormalities. The DNA mismatch repair (MMR) pathway is a post-replicational DNA repair system that maintains genetic stability by repairing mismatched bases and insertion/deletion loops mistakenly incorporated during DNA replication. Deficiencies in proteins pivotal to this pathway result in a higher mutation rate, particularly at regions of microsatellite DNA. We have investigated the proficiency of the MMR pathway in clinical samples and myeloma cell lines. Microsatellite analysis showed instability at one or more of nine loci examined in 15 from 92 patients: 7.7% of MGUS/SMM, 20.7% of MM/plasma cell leukaemia (PCL) and 12.5% of relapsed MM/PCL. An in vitro heteroduplex G/T repair assay found reduced repair in two cell lines, JIM1 and JIM3, and in two of four PCL cases and was associated with aberrant expression of at least one mismatch repair protein. Thus we show that MMR defects are found in plasma cell dyscrasias and the increased frequency during more active stages of the disease suggests a contributory role in disease progression.

We have evaluated the use of allele-specific PCR (AS PCR) on DNA pools as a tool for screening inherited genetic variants that may be associated with risk of adult acute myeloid leukemia (AML). Two DNA pools were constructed, one of 444 AML cases, and another of 823 matched controls. The pools were validated using individual genotyping data for GSTP1 and LTalpha variants. Allele frequencies for variants in GSTP1 and LTalpha were estimated using quantitative AS PCR, and when compared to individual genotyping data, a high degree of concordance was seen. AS primer pairs were designed for nine candidate genetic variants in DNA repair and cell cycle/apoptotic regulatory genes, including Cyclin D1 [codon 870 splice site variant (A>G)]; BRCA1, P871L; ERCC2, K751Q; FAS -1377 (G>A); hMLH1 -93 (G>A) and V219I; p21, S31R; and the XRCC1 R194W and R399Q variants. For six of these assays, there was at least 95% concordance between AS PCR genotyping and an alternative approach carried out on individual samples. Furthermore, these six AS PCR assays all accurately estimated allele frequencies in the pools that had been calculated using individual genotyping data. A significant disease association was seen with AML for the -1377 variant in FAS (odds ratio 1.76, 95% confidence interval 1.26-2.44). These data suggest that quantitative AS PCR can be used as an efficient screening technique for disease associations of genetic variants in DNA pools made from case-control studies.

The xeroderma pigmentosum group D (XPD) gene encodes a DNA helicase that functions in nucleotide excision repair of chemotherapy-induced DNA damage, the efficiency of which is predicted to be affected by a lysine to glutamine variant at codon 751. We hypothesized that this constitutive genetic variant may modify clinical response to chemotherapy, and we have examined its association with outcome following chemotherapy for acute myeloid leukemia (AML) in 341 elderly patients entered into the United Kingdom Medical Research Council AML 11 trial, and with the risk of developing chemotherapy-related AML. Among subjects treated for AML, disease-free survival at one year was 44% for lysine homozygotes, compared with 36% for heterozygotes and 16% for glutamine homozygotes (hazard ratio [HR], 1.30; 95% confidence interval [CI], 1.01-1.70; P = .04). Similarly, overall survival at one year was 38% for lysine homozygotes, 35% for heterozygotes, and 23% for glutamine homozygotes (HR, 1.18; 95% CI, 0.99-1.41; P = .07). Furthermore, homozygosity for the XPD codon 751 glutamine variant was associated with a significantly increased risk of developing AML after chemotherapy (odds ratio, 2.22 for Gln/Gln vs Lys/Lys; 95% CI, 1.04-4.74). These data suggest that the XPD codon 751 glutamine variant protects against myeloid cell death after chemotherapy.

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.

OBJECTIVE:The aim was to test whether non-Hodgkin lymphoma (NHL) is associated with smoking or alcohol. METHODS:A case-control study recruited NHL cases aged 18-64 in parts of England between 1998 and 2001. One control was matched to each case on sex, date of birth and area of residence. Self-reported histories of tobacco and alcohol consumption were collected during face-to-face interviews. RESULTS:Among 700 cases and 915 controls, no association of smoking with the risk of NHL was observed [odds ratio (OR) = 1.04, 95% confidence interval (CI): 0.85-1.28]. Risks were not raised with age started smoking, number of years smoked, and number of years stopped smoking. Compared with persons who drank alcohol once or twice a week, neither abstainers (OR = 1.03, 95% CI: 0.64-1.67), nor consumers of alcohol one to five times a year (OR = 1.35, 95% CI: 0.95-1.93), one to two times a month (OR = 1.20, 95% CI: 0.87-1.65), three to four times a week (OR = 0.82, 95% CI: 0.62-1.10), or most days (OR = 0.94, 95% CI: 0.70-1.25) increased their risk of developing NHL. Average daily volume or high occasional alcohol consumption were not associated with NHL. CONCLUSIONS:NHL was not associated with smoking or alcohol, but collaborative studies could further investigate the risks of rarer WHO subtypes following these exposures.

Large collections of individuals are required to investigate the association of commonly occurring genetic variation with disease. The laboratory assessment of one form of variation, single nucleotide polymorphisms, is costly in time and DNA. Robust statistical approaches are developed to allow the successful implementation of a recently described laboratory method for rapidly estimating allele frequency using pools of DNA. A substantial reduction in Type I error is demonstrated using simulation, through the incorporation of measurement error into confidence limits for a case-control study, illustrated on a case-control study of acute leukaemia in adults. A method for creating multiple sub-pools is described which will allow large studies, such as the proposed U.K. Biobank, to take advantage of this method. Furthermore, a set-based logistic regression is presented which allows the investigation of joint effects and interactions with other genes or environmental factors.

Polymorphisms in genes that encode for metabolic enzymes have been associated with variations in enzyme activity between individuals. Such variations could be associated with differences in individual exposure to carcinogens that are metabolized by these genes. In this study, we examine the association between polymorphisms in several metabolic genes and the consumption of tobacco in a large sample of healthy individuals. The database of the International Collaborative Study on Genetic Susceptibility to Environmental Carcinogens was used. All the individuals who were controls from the case-control studies included in the data set with information on smoking habits and on genetic polymorphisms were selected (n = 20938). Sufficient information was available on the following genes that are involved in the metabolism of tobacco smoke constituents: CYP1A1, GSTM1, GSTT1, NAT2 and GSTP1. None of the tested genes was clearly associated with smoking behavior. Information on smoking dose, available for a subset of subjects, showed no effect of metabolic gene polymorphisms on the amount of smoking. No association between polymorphisms in the genes studied and tobacco consumption was observed; therefore, no effect of these genes on smoking behavior should be expected.