Molecular biology of lymphoma in the microarray era

Molecular genetic analysis of haematological malignancies II: mature lymphoid neoplasms

Molecular genetic techniques have become an integral part of the diagnostic assessment for many lymphomas and other chronic lymphoid neoplasms. The demonstration of a clonal immunoglobulin or T cell receptor gene rearrangement offers a useful diagnostic tool in cases where the diagnosis is equivocal. Molecular genetic detection of other genomic rearrangements may not only assist with the diagnosis but can also provide important prognostic information. Many of these rearrangements can act as molecular markers for the detection of low levels of residual disease. In this review, we discuss the applications of molecular genetic analysis to the chronic lymphoid malignancies. The review concentrates on those disorders for which molecular genetic analysis can offer diagnostic and/or prognostic information.

CARD15 status and familial predisposition for Crohn's disease and colonic gene expression

Familial disposition and mutations in the Caspase Recruitment Domain 15 (CARD15) have been associated with an increased risk for Crohn's disease (CD). This study investigated whether these risk factors correlate with colonic gene expression profiles generated by DNA-microarray technology. Tissue specimens from descending colon were obtained during colonoscopy from 45 CD patients (18 from areas with inflammation and 27 from noninflamed areas). Gene profiling analysis was performed using the Human Genome U133 Plus 2.0 GeneChip Array. Patients were classified according to their CARD15 status. Hybridization data were analyzed with dChip software. Nine patients with either one or two CARD15 mutations had no differentially expressed genes, compared to 36 patients with wild- type CARD15. There was only one differentially expressed EST between 8 patients who had familial disposition for inflammatory bowel disease (IBD) and 36 who did not, but hierarchical cluster analysis did not show group homogeneity. We conclude that gene expression profiling of mucosal biopsies from the descending colon of patients with CD could not be correlated with CARD15 status or with familial disposition for IBD.

Clinical perspectives in lymphoma

The classification of both Hodgkin's and non-Hodgkin's lymphomas continues to evolve. The current World Health Organization classification incorporates data derived from advances in our understanding of the pathogenesis of these disorders together with their distinguishing immunophenotypic, genotypic, clinical and histopathological characteristics. As outcomes have improved, the main emphasis of treatment has been to incorporate a risk-adapted approach to reduce long-term toxicity without sacrificing efficacy through the use of varying combinations of chemotherapy, radiotherapy and immunotherapy.

Expression and bioinformatic analysis of lymphoma-associated novel gene KIAA0372

The purpose of this study was to explore the differentially expressed genes in lymph-node cells (LNC) of lymphomas and reactive lymph node hyperplasia, and to perform an initial bioinformatic analysis on a novel gene, KIAA0372, which is highly expressed in the LNC of lymphomas. mRNA extracted from LNC of lymphomas and reactive lymph node hyperplasia were respectively marked with biotin and hybridized with Gene Expression Chips, resulting in differentially expressed genes. Initial bioinformatic analysis was then performed on a novel gene named KIAA0372, whose function has not yet been explored. Its structure and genomic location, its product's physical and chemical properties, subcellular localization and functional domains, were also predicted. Further, a systematic evolution analysis was performed on similar proteins from among several species. Using Gene Expression Chips, many differentially expressed genes were uncovered. Efficient bioinformatic analysis has fundamentally determined that KIAA0372 is an extracellular protein which may be involved in TGF-β signaling. Microarray is an efficient and high throughput strategy for detection of differentially expressed genes. And KIAA0372 is thought to be a potential target for tumor research using bioinformatic analysis.

Diagnostic pathology of lymphoproliferative disorders

The last 20 years have seen a dramatic change in the way we classify, and therefore diagnose, lymphoma. Two decades ago, the International Working Formulation enabled diagnosis and management on the basis of H&E sections alone, with no mandatory requirement for immunophenotyping, molecular studies or any other ancillary investigations. The concept of categorisation by 'clinicopathological entities' defined by clinical features, morphology, immunophenotype and more recently, genotype, began with the Kiel, and Lukes and Collins classifications in the late 1970s, becoming fully expressed in the REAL and subsequently WHO classifications. The current, multidisciplinary approach to categorisation adds significantly to the task facing the anatomical pathologist, since it requires distribution of biopsy material to all the appropriate specialised laboratories, the gathering of a range of cross-disciplinary information, the correlation of all diagnostic findings, deduction of a definitive diagnosis and, finally, integration of all the above into a single multiparameter report. In this review, we summarise the contemporary approach to the biopsy, diagnosis and reporting of lymphoproliferative disorders.