ResearchOur laboratory studies the molecular pathogenesis of human lymphoid malignancies and has three primary goals: to establish a new molecular diagnosis of human lymphoid malignancies using gene expression profiling, to elucidate the oncogenic pathways that result in malignant transformation of normal B lymphocytes, and to identify molecular targets for development of novel therapeutics for these cancers. To provide a molecular basis for the diagnosis of human lymphoid malignancies, we are exploiting DNA microarray technology to profile gene expression in these cancers on a genomic scale. The laboratory created a novel DNA microarray, the 'Lymphochip', which is enriched in genes that are expressed in and/or function in lymphocytes (1). We have used Lymphochip and Affymetrix microarrays to profile gene expression in diffuse large B cell lymphoma (DLBCL) (2-4), chronic lymphocytic leukemia (CLL) (5, 6), mantle cell lymphoma (7), follicular lymphoma (8), multiple myeloma (9), and in a wide variety of normal lymphoid subsets (2, 10-13). One central goal of these studies is to relate gene expression to clinical outcome, thereby establishing a quantitative, reproducible and informative molecular diagnosis of the lymphoid malignancies (14). Our studies have revealed previously unknown types of diffuse large B cell lymphoma that are indistinguishable by current diagnostic methods, but which have strikingly distinct gene expression profiles, originate from different stages of B cell differentiation, utilize distinct oncogenic mechanisms, and differ in their ability to be cured by current chemotherapy (2-4). For several lymphoid malignancies, we have identified molecular profiles that predict the length of survival or the ability to be cured by chemotherapy, thereby providing clinically useful prognostic indicators. Our laboratory has mounted a major effort to create a diagnostic microarray that could provide these molecular diagnoses and prognoses to patients with lymphoid malignancies. Our laboratory uses functional genomics, chemical genetics and molecular biological techniques to identify new molecular targets for therapy of lymphoid malignancies. Some of the genes that are associated with clinical prognosis have provided new molecular targets. For example, our laboratory discovered that the subgroup of DLBCL with the worst prognosis relies on constitutive activity of the NF-kB signaling pathway for survival; molecular or pharmacological inhibition of this pathway kills this type of lymphoma. A major new initiative aims to identify molecular targets in lymphoid malignancies using large scale RNA interference. The laboratory has created a library of 7,500 retroviruses that can inducibly express small hairpin RNAs (shRNAs) targeting 2,500 human genes. When expressed in a cell, each shRNA can be processed into a small interfering RNA that can decrease the mRNA expression of a single human gene. We are using this library to identify genes that are important for the proliferation and survival of lymphoma cells. MOLECULAR DIAGNOSIS OF LYMPHOID MALIGNANCIES Molecularly and clinically distinct diseases within diffuse large B cell lymphoma (DLBCL) DLBCL has long been enigmatic in that 40 percent of patients can be cured by combination chemotherapy whereas the remainder succumb to this disease. By gene expression profiling, the laboratory discovered that DLBCL is actually comprised of at least three different diseases that are indistinguishable by current diagnostic methods (2-4, 15). As detailed below, these DLBCL subgroups can be considered distinct diseases in that they originate from B cells at different stages of differentiation, utilize distinct oncogenic mechanisms, and differ significantly in their survival rates following chemotherapy.

Agency
National Institute of Health (NIH)
Institute
Division of Clinical Sciences - NCI (NCI)
Type
Intramural Research (Z01)
Project #
1Z01SC004024-19
Application #
7331382
Study Section
(MB)
Project Start
Project End
Budget Start
Budget End
Support Year
19
Fiscal Year
2006
Total Cost
Indirect Cost
Name
Clinical Sciences
Department
Type
DUNS #
City
State
Country
United States
Zip Code
Davis, R Eric; Zhang, Ya-Qin; Southall, Noel et al. (2007) A cell-based assay for IkappaBalpha stabilization using a two-color dual luciferase-based sensor. Assay Drug Dev Technol 5:85-103
Wiestner, Adrian; Tehrani, Mahsa; Chiorazzi, Michael et al. (2007) Point mutations and genomic deletions in CCND1 create stable truncated cyclin D1 mRNAs that are associated with increased proliferation rate and shorter survival. Blood 109:4599-606
Salaverria, Itziar; Zettl, Andreas; Bea, Silvia et al. (2007) Specific secondary genetic alterations in mantle cell lymphoma provide prognostic information independent of the gene expression-based proliferation signature. J Clin Oncol 25:1216-22
Iqbal, J; Greiner, T C; Patel, K et al. (2007) Distinctive patterns of BCL6 molecular alterations and their functional consequences in different subgroups of diffuse large B-cell lymphoma. Leukemia 21:2332-43
Lenz, Georg; Nagel, Inga; Siebert, Reiner et al. (2007) Aberrant immunoglobulin class switch recombination and switch translocations in activated B cell-like diffuse large B cell lymphoma. J Exp Med 204:633-43
Annunziata, Christina M; Davis, R Eric; Demchenko, Yulia et al. (2007) Frequent engagement of the classical and alternative NF-kappaB pathways by diverse genetic abnormalities in multiple myeloma. Cancer Cell 12:115-30
Davies, Andrew J; Rosenwald, Andreas; Wright, George et al. (2007) Transformation of follicular lymphoma to diffuse large B-cell lymphoma proceeds by distinct oncogenic mechanisms. Br J Haematol 136:286-93
Kuo, Tracy C; Shaffer, Arthur L; Haddad Jr, Joseph et al. (2007) Repression of BCL-6 is required for the formation of human memory B cells in vitro. J Exp Med 204:819-30
Iqbal, Javeed; Neppalli, Vishala T; Wright, George et al. (2006) BCL2 expression is a prognostic marker for the activated B-cell-like type of diffuse large B-cell lymphoma. J Clin Oncol 24:961-8
Ngo, Vu N; Davis, R Eric; Lamy, Laurence et al. (2006) A loss-of-function RNA interference screen for molecular targets in cancer. Nature 441:106-10

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