Automated array-based genomic profiling in chronic lymphocytic leukemia: development of a clinical tool and discovery of recurrent genomic alterations

Chromosome abnormalities with prognostic impact in B-cell chronic lymphocytic leukemia

The detailed analysis of the biologic features led to a rapid increase in clinically relevant information in CLL. The recognition of the prognostic role of IgVH hypermutation status and related phenotypic changes (CD38, ZAP-70 expression) as well as of chromosome abnormalities defined by cytogenetic analysis enabled a refined classification of the disease. Improvements in karyotyping and the introduction of fluorescence in situ hybridization (FISH) in routine hematological diagnostics raised the detection rate of chromosomal aberrations to approx. 60-80% in CLL. Among them, deletions of 17p and 11q have been associated with unfavorable prognosis. The deletion of the p53 locus (17p13) was described as the strongest independent predictor for aggressive behavior, resistance to chemotherapy and early death. On the contrary, an isolated deletion at 13q14 or a normal karyotype was related with a long survival. Classical and molecular cytogenetic analysis became an important tool for individual risk estimation. Unlike any other approaches, cytogenetic monitoring reflects the genetic heterogeneity and clonal growth dynamics during the course of the disease.

The new cytogenetics: blurring the boundaries with molecular biology

Exciting advances in fluorescence in situ hybridization and array-based techniques are changing the nature of cytogenetics, in both basic research and molecular diagnostics. Cytogenetic analysis now extends beyond the simple description of the chromosomal status of a genome and allows the study of fundamental biological questions, such as the nature of inherited syndromes, the genomic changes that are involved in tumorigenesis and the three-dimensional organization of the human genome. The high resolution that is achieved by these techniques, particularly by microarray technologies such as array comparative genomic hybridization, is blurring the traditional distinction between cytogenetics and molecular biology.

Methylation-specific MLPA (MS-MLPA): simultaneous detection of CpG methylation and copy number changes of up to 40 sequences

Copy number changes and CpG methylation of various genes are hallmarks of tumor development but are not yet widely used in diagnostic settings. The recently developed multiplex ligation-dependent probe amplification (MLPA) method has increased the possibilities for multiplex detection of gene copy number aberrations in a routine laboratory. Here we describe a novel robust method: the methylation-specific MLPA (MS-MLPA) that can detect changes in both CpG methylation as well as copy number of up to 40 chromosomal sequences in a simple reaction. In MS-MLPA, the ligation of MLPA probe oligonucleotides is combined with digestion of the genomic DNA–probe hybrid complexes with methylation-sensitive endonucleases. Digestion of the genomic DNA–probe complex, rather than double-stranded genomic DNA, allowed the use of DNA derived from the formalin treated paraffin-embedded tissue samples, enabling retrospective studies. To validate this novel method, we used MS-MLPA to detect aberrant methylation in DNA samples of patients with Prader–Willy syndrome, Angelman syndrome or acute myeloid leukemia.

Genetic losses in breast cancer: toward an integrated molecular cytogenetic map

Breast cancer is the most common malignant disease in Caucasian women, but is less frequent in Chinese women. The molecular basis for such ethnical difference in disease pathogenesis remains unknown. To address this issue, we performed allelotyping analysis of formalin-fixed, paraffin-embedded samples from 21 Chinese patients with breast cancer using 59 fluorescently tagged oligonucleotide primers amplifying microsatellite loci. Loss of heterozygosity (LOH) was found in all tumor samples. Frequent allelic losses were identified at markers D3S1578 (56%); D7S507 (55%); D1S2766 (50%); D17S789 and D17S946 (43% each); D19S814 (35%); D2S162, D13S158 and D13S296 (33% each); D1S551 and D1S2800 (29% each); D3S1597 and D6S260 (22% each); and D1S1588 (21%). To compare our data to previous reports, we determined the band-specific frequency of chromosomal imbalances in breast cancer karyotypes reported in the Mitelman database, and from the CGH results of cases accessible through the Progenetix website. Furthermore, published LOH analyses of breast cancer cases were compared to our own LOH results, demonstrating the most common chromosomal regions affected by allelic losses. The combined results provide a comprehensive view of genetic losses in breast cancers, indicating the comparability of these different techniques and suggesting the presence of a distinct subset of breast cancers with high-frequency LOH at chromosomes 1 and 2p in Chinese patients.

Molecular cytogenetics in haematological malignancy: current technology and future prospects

Cytogenetics has played a pivotal role in haematological malignancy, both as an aid to diagnosis and in identifying recurrent chromosomal rearrangements, an essential prerequisite to identifying genes involved in leukaemia and lymphoma pathogenesis. In the late 1980s, a series of technologies based around fluorescence in situ hybridisation (FISH) revolutionised the field. Interphase FISH, multiplex-FISH (M-FISH, SKY) and comparative genomic hybridisation (CGH) have emerged as the most significant of these. More recently, microarray technologies have come to prominence. In the acute leukaemias, the finding of characteristic gene expression signatures corresponding to biological subgroups has heralded gene expression profiling as a possible future alternative to current cytogenetic and morphological methods for diagnosis. In the lymphomas, high-resolution array CGH has successfully identified new regions of deletion and amplification, providing the prospect of disease-specific arrays.

Array comparative genomic hybridization and its applications in cancer

Alteration in DNA copy number is one of the many ways in which gene expression and function may be modified. Some variations are found among normal individuals, others occur in the course of normal processes in some species and still others participate in causing various disease states. For example, many defects in human development are due to gains and losses of chromosomes and chromosomal segments that occur before or shortly after fertilization, and DNA dosage-alteration changes occurring in somatic cells are frequent contributors to cancer. Detecting these aberrations and interpreting them in the context of broader knowledge facilitates the identification of crucial genes and pathways involved in biological processes and disease. Over the past several years, array comparative genomic hybridization has proven its value for analyzing DNA copy-number variations. Here, we discuss the state of the art of array comparative genomic hybridization and its applications in cancer, emphasizing general concepts rather than specific results.

Genetics and molecular biology of chronic lymphocytic leukemia

B cell chronic lymphocytic leukemia (CLL) is a clinically heterogeneous disease characterized by accumulation of malignant CD5+ B cells. Multiple molecular events likely contribute to malignant transformation; no single genetic abnormality or event has been shown to be responsible for development of the disease. Significant advances have recently been made towards understanding the genetic and molecular basis for the etiology and clinical course of CLL. Our current understanding is only now bringing us to the point where we can use this information in management and in developing new therapies for patients with CLL. Familial clustering of CLL cases is not uncommon and implicates a genetic basis for the development of the disease in some individuals. Potential interventions in this instance could employ strategies of gene transfer or gene therapy to correct genetic defects or strategies of chemoprevention, none of which is currently under investigation. Greater potential for therapeutic intervention rests with targeting molecular aberrations and altered gene expression in leukemia cells, for example, over expression of the anti-apoptotic proteins of the Bcl-2 family. CLL follows a variable clinical course, with some patients not needing treatment for many years and responding to therapy completely and repeatedly. Other patients have rapidly progressive disease that is refractory to currently available agents and they quickly succumb to their disease. One major recent advance has been the identification of molecular and genetic prognostic factors that can be used in early-stage patients to identify those likely to rapidly progress. This affords the opportunity to tailor management for patients based on the predictable aggressiveness of their disease. Molecular and genetic findings are increasingly influencing management decisions in CLL. Bone marrow transplantation may be considered for a patient with unfavorable prognostic features earlier than for a patient with favorable features and same clinical stage of disease. It is likely that these genetic and molecular-based factors will be targets of new treatment modalities that fundamentally change the management of this disease. In this review we detail the current understanding of the genetics and molecular biology of CLL and introduce potentials for therapeutic intervention.

Candidate Genes in Breast Cancer Revealed by Microarray-Based Comparative Genomic Hybridization of Archived Tissue

Genomic imbalances in 31 formalin-fixed and paraffin-embedded primary tumors of advanced breast cancer were analyzed by microarray-based comparative genomic hybridization (matrix-CGH). A DNA chip was designed comprising 422 mapped genomic sequences including 47 proto-oncogenes, 15 tumor suppressor genes, as well as frequently imbalanced chromosomal regions. Analysis of the data was challenging due to the impaired quality of DNA prepared from paraffin-embedded samples. Nevertheless, using a method for the statistical evaluation of the balanced state for each individual experiment, we were able to reveal imbalances with high significance, which were in good concordance with previous data collected by chromosomal CGH from the same patients. Owing to the improved resolution of matrix-CGH, genomic imbalances could be narrowed down to the level of individual bacterial artificial chromosome and P1-derived artificial chromosome clones. On average 37 gains and 13 losses per tumor cell genome were scored. Gains in more than 30% of the cases were found on 1p, 1q, 6p, 7p, 8q, 9q, 11q, 12q, 17p, 17q, 20q, and 22q, and losses on 6q, 9p, 11q, and 17p. Of the 51 chromosomal regions found amplified by matrix-CGH, only 12 had been identified by chromosomal CGH. Within these 51 amplicons, genome database information defined 112 candidate genes, 44 of which were validated by either PCR amplification of sequence tag sites or DNA sequence analysis.

Molecular classification of human gliomas using matrix-based comparative genomic hybridization

Gliomas are the most frequent primary brain tumors and comprise a group of morphologically, biologically and clinically heterogeneous neoplasms. The different glioma types are associated with distinct genetic aberrations, which may provide useful information for tumor classification as well as prediction of prognosis and response to therapy. To facilitate the molecular classification of gliomas, we established a genomic microarray that consists of bacterial artificial chromosome (BAC) and P1-derived artificial chromosome (PAC) clones representing tumor suppressor genes, proto-oncogenes and chromosomal regions frequently gained or lost in gliomas. In addition, reference clones distributed evenly throughout the genome in approximately 15 Mbp intervals were spotted on the microarray. These customized microarrays were used for matrix-based comparative genomic hybridization (matrix CGH) analysis of 70 gliomas. Matrix CGH findings were validated by molecular genetic analyses of candidate genes, loss of heterozygosity studies and chromosomal CGH. Our results indicate that matrix CGH allows for the sensitive and specific detection of gene amplifications as well as low-level copy number gains and losses in clinical glioma samples. Furthermore, molecular classification based on matrix CGH data closely paralleled histological classification and was able to distinguish with few exceptions between diffuse astrocytomas and oligodendrogliomas, anaplastic astrocytomas and anaplastic oligodendrogliomas, anaplastic oligodendrogliomas and glioblastomas, as well as primary and secondary glioblastomas. Thus, matrix CGH is a powerful technique that allows for an automated genomic profiling of gliomas and represents a promising new tool for their molecular classification.

Expression profiling of murine acute promyelocytic leukemia cells reveals multiple model-dependent progression signatures

Leukemia results from the expansion of self-renewing hematopoietic cells that are thought to contain mutations that contribute to disease initiation and progression. Studies of the gene expression profiles of human acute myeloid leukemia samples has allowed their classification based on the presence of translocations and French-American-British subtypes, but it is not yet clear whether their molecular signatures reflect the initiating mutations or mutations acquired during progression. To begin to address this question, we examined the expression profiles of normal murine promyelocyte-enriched samples, nontransformed murine promyelocytes expressing human promyelocytic leukemia-retinoic acid receptor alpha (PML-RARalpha) fusion gene, and primary acute promyelocytic leukemia cells. The expression profile of nontransformed cells expressing PML-RARalpha was remarkably similar to that of wild-type promyelocytes. In contrast, the expression profiles of fully transformed cells from three acute promyelocytic leukemia model systems were all different, suggesting that the expression signature of acute promyelocytic leukemia cells reflects the genetic changes that contributed to progression. To further evaluate these progression events, we compared two high-penetrance acute promyelocytic leukemia models that both commonly acquire an interstitial deletion of chromosome 2 during progression. The two models exhibited distinct gene expression profiles, suggesting that the dominant molecular signatures of murine acute promyelocytic leukemia can be influenced by several independent progression events.

Detection of MYCN amplification and chromosome 1p36 loss in neuroblastoma by cDNA microarray comparative genomic hybridization

BACKGROUND

In the last decade, microarray technology has been extensively used to evaluate gene expression profiles and genome imbalances. We have developed a microarray-based comparative genomic hybridization (CGH) approach to identify MYCN gene amplification and 1p36 chromosome loss, two markers of tumor aggressiveness in neuroblastoma.

AIM

The aim was to use microarray CGH technology to detect the two major prognostic markers for neuroblastoma, MYCN amplification and 1p36 chromosome deletion, in neuroblastoma patients and, therefore, confirm the usefulness of this approach in this cancer.

METHODS

DNA was purified from 16 tumors containing at least 90% malignant neuroblasts and collected at the onset of disease. Pooled fluorescent-labeled reference and neuroblastoma tumor genomic DNA was hybridized to epoxide-coated glass slides on laboratory-made complementary DNA microarray. The microarray contained cDNA mapped at the 1p36.33-36.1 chromosomal region and MYCN gene. cDNA from the 2q33-q34 and 12p13 chromosomes was used as a control and Arabidopsis thaliana DNA was spotted to control unspecific hybridization. Fluorescence in situ hybridization analysis was also performed to validate results from the microarray CGH.

RESULTS

Both MYCN amplification and 1p36 chromosome deletion were detected by microarray CGH. The sensitivity and specificity for 1p36 loss detection were 66.7% and 90.0%, respectively. The method had a sensitivity of 66.7% and specificity of 90.9% to detect MYCN amplification.

DISCUSSION

Our results demonstrated that the microarray CGH can be efficiently applied to study DNA gain and loss of specific chromosome regions.

DNA microarray analysis of pancreatic malignancies

Pancreatic ductal adenocarcinoma (PDAC) has an extremely poor prognosis. To improve the prognosis, novel molecular markers and targets for earlier diagnosis and adjuvant and/or neoadjuvant treatment are needed. Recent advances in human genome research and high-throughput molecular technologies make it possible to cope with the molecular complexity of malignant tumors. With DNA array technology, mRNA expression levels of thousand of genes can be measured simultaneously in a single assay. As several studies using microarrays in PDAC have already been published, this review attempts to compare the published data and therefore to validate the results. In addition, the applied techniques are discussed in the context of pancreatic malignancies.

Microarray Gene Expression Profiling of B-Cell Chronic Lymphocytic Leukemia Subgroups Defined by Genomic Aberrations and VH Mutation Status

Purpose

Genomic aberrations and mutational status of the immunoglobulin variable heavy chain (VH) gene have been shown to be among the most important predictors for outcome in patients with B-cell chronic lymphocytic leukemia (B-CLL). In this study, we report on differential gene expression patterns that are characteristic for genetically defined B-CLL subtypes.

Materials and Methods

One hundred genetically well-characterized B-CLL samples, together with 11 healthy control samples, were analyzed using oligonucleotide arrays, which test for the expression of some 12,000 human genes.

Results

Aiming at microarray-based subclassification, class predictors were constructed using sets of differentially expressed genes, which yielded in zero or low misclassification rates. Furthermore, a significant number of the differentially expressed genes clustered in chromosomal regions affected by the respective genomic losses/gains. Deletions affecting chromosome bands 11q22-q23 and 17p13 led to a reduced expression of the corresponding genes, such as ATM and p53, while trisomy 12 resulted in the upregulation of genes mapping to chromosome arm 12q. Using an unsupervised analysis algorithm, expression profiling allowed partitioning into predominantly VH-mutated versus unmutated patient groups; however, association of the expression profile with the VH mutational status could only be detected in male patients.

Conclusion

The finding that the most significantly differentially expressed genes are located in the corresponding aberrant chromosomal regions indicates that a gene dosage effect may exert a pathogenic role in B-CLL. The significant difference in the partitioning of male and female B-CLL samples suggests that the genomic signature for the VH mutational status might be sex-related.

Genome-Wide Array-Based Comparative Genomic Hybridization of Diffuse Large B-Cell Lymphoma

Diffuse large B-cell lymphoma (DLBCL) is the most common type of non-Hodgkin's lymphoma and exhibits aggressive and heterogeneous clinical behavior. To genetically characterize DLBCL, we established our own array-based comparative genomic hybridization and analyzed a total of 70 cases [26 CD-positive (CD5+) DLBCL and 44 CD5-negative (CD5-) DLBCL cases]. Regions of genomic aberrations observed in >20% of cases of both the CD5+ and CD5- groups were gains of 1q21-q31, 1q32, 3p25-q29, 5p13, 6p21-p25, 7p22-q31, 8q24, 11q23-q24, 12q13-q21, 16p13, 18, and X and losses of 1p36, 3p14, 6q14-q25, 6q27, 9p21, and 17p11-p13. Because CD5 expression marks a subgroup with poor prognosis, we subsequently analyzed genomic gains and losses of CD5+ DLBCL compared with those of CD5-. Although both groups showed similar genomic patterns of gains and losses, gains of 10p14-p15 and 19q13 and losses of 1q43-q44 and 8p23 were found to be characteristic of CD5+ DLBCL. By focusing on the gain of 13q21-q34 and loss of 1p34-p36, we were also able to identify prognostically distinct subgroups among CD5+ DLBCL cases. These results suggest that array-based comparative genomic hybridization analysis provides a platform of genomic aberrations of DLBCL both common and specific to clinically distinct subgroups.

Molecular genetics and its clinical relevance

Molecular genetic methods such as fluorescence in situ hybridization and DNA sequencing have greatly improved our understanding of pathogenic events and prognostic markers in chronic lymphocytic leukemia (CLL). There are genomic aberrations detected in over 80% of CLL cases, and genes potentially involved in the pathogenesis were identified with ATM in a subset of cases with 11q deletion and p53 in cases with 17p13 deletion. Genetic subgroups with distinct clinical features have been identified, such as 11q deletion, which is associated with marked lymphadenopathy and rapid disease progression, whereas 17p deletion predicts for treatment failure with alkylating agents, fludarabine, and short survival times. There is mutation status of the VH genes that allows the separation into patients with long (mutated VH) or short (unmutated VH) survival times. V-gene usage, VDJ structure, and gene expression differences in the two subgroups allow insights into differential pathogenic mechanisms and provide further prognostic information (V3-21 usage, ZAP-70 expression). The VH mutation status and genomic abnormalities have been shown to be of independent prognostic value in multivariate analysis, seem to allow outcome predication irrespective of the clinical stage, and may therefore allow a risk assessment for individual patients early in the course of their disease.

Genomic DNA-chip hybridization in t(11;14)-positive mantle cell lymphomas shows a high frequency of aberrations and allows a refined characterization of consensus regions

Tumor samples of 53 patients with t(11;14)-positive mantle cell lymphomas (MCLs) were analyzed by matrix-based comparative genomic hybridization (matrix-CGH) using a dedicated DNA array. In 49 cases, genomic aberrations were identified. In comparison to chromosomal CGH, a 50% higher number of aberrations was found and the high specificity of matrix-CGH was demonstrated by fluorescence in situ hybridization (FISH) analyses. The 11q gains and 13q34 deletions, which have not been described as frequent genomic aberrations in MCL, were identified by matrix-CGH in 15 and 26 cases, respectively. For several genomic aberrations, novel consensus regions were defined: 8p21 (size of the consensus region, 2.4 megabase pairs [Mbp]; candidate genes: TNFRSF10B, TNFRSF10C, TNFRSF10D); 10p13 (2.7 Mbp; BMI1); 11q13 (1.4 Mbp; RELA); 11q13 (5.2 Mbp; CCND1); 13q14 (0.4 Mbp; RFP2, BCMSUN) and 13q34 (6.9 Mbp). In univariate analyses correlating genomic aberrations and clinical course, 8p- and 13q14- deletions were associated with an inferior overall survival. These data provide a basis for further studies focusing on the identification of pathogenetically or clinically relevant genes in MCL.

Chronic lymphocytic leukemia

Chronic lymphocytic leukemia (CLL) is one of the most commonly diagnosed leukemias managed by practicing hematologists. For many years patients with CLL have been viewed as similar, with a long natural history and only marginally effective therapies that rarely yielded complete responses. Recently, several important observations related to the biologic significance of V(H) mutational status and associated ZAP-70 overexpression, disrupted p53 function, and chromosomal aberrations have led to the ability to identify patients at high risk for early disease progression and inferior survival. Concurrent with these investigations, several treatments including the nucleoside analogues, monoclonal antibodies rituximab and alemtuzumab have been introduced. Combination of these therapies in clinical trials has led to high complete and overall response rates when applied as initial therapy for symptomatic CLL. Thus, the complexity of initial risk stratification of CLL and treatment has increased significantly. Furthermore, when these initial therapies do not work, approach of the CLL patient with fludarabine-refractory disease can be quite challenging. This session will describe the natural history of a CLL patient with emphasis on important decision junctures at different time points in the disease. In Section I, Dr. Stephan Stilgenbauer focuses on the discussion that occurs with CLL patients at their initial evaluation. This includes a review of the diagnostic criteria for CLL and prognostic factors utilized to predict the natural history of the disease. The later discussion of risk stratification focuses on molecular and genomic aberrations that predict rapid progression, poor response to therapy, and inferior survival. Ongoing and future efforts examining early intervention strategies in high risk CLL are reviewed. In Section II, Drs. Ian Flinn and Jesus G. Berdeja focus on the discussion of CLL patients when symptomatic disease has developed. This includes an updated review of monotherapy trials with nucleoside analogs and recent trials that have combined these with monoclonal antibodies and/or alternative chemotherapy agents. Appropriate application of more aggressive therapies such as autologous and allogeneic immunotherapy and less aggressive treatments for appropriate CLL patient candidates are discussed. In Section III, Dr. John Byrd focuses on the discussion that occurs with CLL patients whose disease is refractory to fludarabine. The application of genetic risk stratification in choosing therapy for this subset of patients is reviewed. Available data with conventional combination based therapies and monoclonal antibodies are discussed. Finally, alternative promising investigational therapies including new antibodies, kinase inhibitors (CDK, PDK1/AKT, PKC) and alternative targeted therapies (DNA methyltransferase inhibitors, histone deacetylase inhibitors, etc.) are reviewed with an emphasis on the most promising agents for this patient population.