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Diffuse Small Cleaved-Cell Lymphoma ×
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- 2023-04-26 - 6 Formulär, 1 Item-grupp, 2 Dataelement, 1 Språk
Item-grupp: pht007857
Principal Investigator: Neil E. Caporaso, MD, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA MeSH: Leukemia, Lymphocytic, Chronic, B-Cell,Hodgkin Disease,Lymphoma, Non-Hodgkin,Waldenstrom Macroglobulinemia,Leukemia, Hairy Cell,Leukemia, Myeloid, Acute,Leukemia, Myelomonocytic, Juvenile https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001219 We have been conducting genetic studies on families at high risk of different hematologic malignancies, in order to define the related tumors in the families, define precursor and other related conditions, and map and identify susceptibility genes. We have focused mainly on four types of lymphoid malignancies: chronic lymphocytic leukemia (CLL), Hodgkin lymphoma (HL), non-Hodgkin lymphoma (NHL), and Waldenström macroglobulinemia (WM). A few families with a rare lymphoma subtype, hairy cell leukemia (HCL) are included. In addition, single large pedigrees with acute myeloid leukemia (AML), and juvenile myelomocytic leukemia (JMML) are included. Families are ascertained for having at least two patients with the same hematologic malignancy and are classified by the type of malignancy that predominates in the family. Multiple types of lymphoid malignancies are often found in the same family. Other data has shown that these conditions aggregate together in families. Verification of cancer diagnoses is obtained through medical records, pathology reports, and flow cytometry. Family members with precursor traits are also included, monoclonal B-cell lymphocytosis (MBL) in CLL families and IgM monoclonal gammopathy of undetermined significance (MGUS) in WM families.

pht007858.v1.p1

1 Item-grupp 6 Dataelement

Eligibility

1 Item-grupp 1 Dataelement

pht007859.v1.p1

1 Item-grupp 3 Dataelement

pht007860.v1.p1

1 Item-grupp 10 Dataelement

pht007861.v1.p1

1 Item-grupp 5 Dataelement
- 2023-04-02 - 5 Formulär, 1 Item-grupp, 1 Dataelement, 1 Språk
Item-grupp: IG.elig
Principal Investigator: Ann M. Moormann, University of Massachusetts Medical School, Worcester, MA, USA MeSH: Burkitt Lymphoma,Lymphoma, Non-Hodgkin https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001282 This genomic landscape of Burkitt lymphoma represents a multimodal sequencing of tumors and control tissues and individuals to better understand the etiology, and molecular pathogenesis of Burkitt lymphoma including the roles of the associated Plasmodium falciparum malaria and EBV infections. Comprehensive sequencing set includes genomic, transcriptomic, and epigenomic datasets in concert with variable clinical phenotypes and outcome information such as anatomical presentation site, in-hospital survival rates, and EBV genome type. This deposit includes additional small RNA-seq data from endemic BL (eBL) tumors and RNA-sequencing data from sorted NK cell subsets from the peripheral blood of eBL patients. The additional small RNA-seq data are from tumor specimens from 17 eBL cases, of the previously deposited polyA RNA-seq data from 28 eBL cases (phs1282.V1). The additional RNAseq data from Fluorescence-activated cell sorting (FACS) of NK cell subsets, isolated from the peripheral blood of 7 eBL cases. *For initial transcriptome analysis see: Kaymaz et al.* "Comprehensive Transcriptome and Mutational Profiling of Endemic Burkitt Lymphoma Reveals EBV Type-specific Difference." Molecular Cancer Research, 2017. PMID 28465297 *For initial microRNA analysis see: Oduor et al.* "Human and Epstein-Barr Virus miRNA Profiling as Predictive Biomarkers for Endemic Burkitt Lymphoma." Frontiers in Microbiology 8, 2017. PMID 28400759 *For initial NK subsets RNA expression analysis see: Forconi et al.* "A new hope for CD56negCD16pos NK cells as unconventional cytotoxic mediators: an adaptation to chronic diseases." Frontiers in Cellular and Infection Microbiology, Submitted and Under review. *For general overview of cohort study see: Buckle et al.* "Factors influencing survival among Kenyan children diagnosed with endemic Burkitt lymphoma between 2003 and 2011: A historical cohort study." Int J Cancer. 15:1231, 2016, PMID 27136063

pht006096.v2.p1

1 Item-grupp 3 Dataelement

pht006098.v2.p1

1 Item-grupp 5 Dataelement

pht006099.v2.p1

1 Item-grupp 12 Dataelement

pht006097.v2.p1

1 Item-grupp 3 Dataelement
- 2023-02-19 - 5 Formulär, 1 Item-grupp, 4 Dataelement, 1 Språk
Item-grupp: pht006689
Principal Investigator: Hanlee Ji, MD, Stanford University School of Medicine, Palo Alto, USA MeSH: Lymphoma, Follicular,Lymphoma, Non-Hodgkin https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001378 Follicular lymphoma (FL) is a generally incurable B-cell malignancy which has the potential to transform into highly aggressive lymphomas. Genomic studies indicate it is often a small subpopulation rather than the dominant population in the FL that gives rise to the more aggressive subtype. To resolve the underlying transcriptional networks of follicular B-cell lymphomas at single molecule and cell resolution, we leveraged droplet-based barcoding technology for highly parallel single cell RNA-Seq. We analyzed the transcriptomes from tens of thousands of cells derived from five primary FL tumors. Simultaneously, we conducted multi-dimensional flow cell sorting to validate our characterizing of cellular lineages and critical expressed proteins. For each tumor, we identified multiple cellular subpopulations, matching known hematopoietic lineages. Comparison of gene expression by matched malignant and normal B cells from the same patient revealed tumor-specific features. Malignant B cells exhibited restricted immunoglobulin light chain expression (either Ig Kappa or Ig Lambda), as well the expected upregulation of the BCL2 gene, but also down-regulation of the FCER2, CD52 and MHC class II genes. By leveraging the single-cell resolution on large numbers of cells per patient, we were able to examine tumor-resident T cells. We identified pairs of immune checkpoint molecules that were co-expressed, providing a potentially useful strategy for selection of patient-tailored combination immunotherapies. In summary, massively parallel measurement of single-cell expression in thousands of tumor cells and tumor-resident lymphocytes can be used to obtain a systems-level view of the tumor microenvironment and identify new avenues for therapeutic development.

Eligibility

1 Item-grupp 8 Dataelement

pht006690.v1.p1

1 Item-grupp 4 Dataelement

pht006691.v1.p1

1 Item-grupp 5 Dataelement

pht006692.v1.p1

1 Item-grupp 9 Dataelement
- 2022-12-13 - 4 Formulär, 1 Item-grupp, 5 Dataelement, 1 Språk
Item-grupp: pht002815

Eligibility

1 Item-grupp 2 Dataelement

pht002814.v1.p1

1 Item-grupp 3 Dataelement

pht002813.v1.p1

1 Item-grupp 2 Dataelement
- 2022-12-12 - 5 Formulär, 1 Item-grupp, 20 Dataelement, 1 Språk
Item-grupp: IG.elig
Principal Investigator: Dana Crawford, PhD, Vanderbilt University, Nashville, TN, USA MeSH: Neoplasms,Breast Neoplasms,Colorectal Neoplasms,Endometrial Neoplasms,Lung Neoplasms,Lymphoma, Non-Hodgkin,Ovarian Neoplasms,Melanoma,Prostatic Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000559 As part of Population Architecture using Genomics and Epidemiology PAGE study (Phase I), the Epidemiologic Architecture using Genomics and Epidemiology (EAGLE I) project accessed both epidemiologic- and clinic-based collections. The epidemiologic-based collection of EAGLE I included the National Health and Nutritional Examination Surveys (NHANES), ascertained between 1991-1994 (NHANES III), 1999-2002, and 2007-2008. NHANES is a population-based cross-sectional survey now conducted every year in the United States to assess the health status of Americans at the time of ascertainment and to assess trends over the years of survey. Genetic NHANES consists of 19,613 DNA samples linked to thousands of variables including demographics, health and lifestyle variables, physical examination variables, laboratory variables, and exposures. NHANES is diverse with almost one-half of the samples (46.4%) coming from self-reported Mexican Americans and non-Hispanic blacks. In contrast to NHANES, BioVU is a clinic-based collection of 150,000 DNA samples from Vanderbilt University Medical Center linked to de-identified electronic medical records (EMRs). Approximately 12% of BioVU's overall DNA sample collection is from African American, Hispanic, and Asian patients. The overall goals of PAGE I and EAGLE I were broad and several-fold:- Replicate genome-wide association study (GWAS)- identified variants in European Americans; - Identify population-specific and trans-population genotype-phenotype associations; - Identify genetic and environmental modifiers of these associations. NHANES is an excellent resource for the study of quantitative traits associated with common human diseases. However, given that the age range of NHANES spans childhood to late adulthood and not all diseases are surveyed, NHANES is less useful for the study of adult-onset diseases such as major cancers. Therefore, under American Recovery and Reinvestment Act (ARRA) funding, EAGLE as part of PAGE I defined eight major cancers sites for genetic analysis in BioVU, Vanderbilt's biorepository linked to de-identified EMRs. The eight major cancers defined for this study included melanoma, breast, ovarian, prostate, colorectal, lung, endometrial, and Non-Hodgkin's lymphoma (NHL). Cancer cases were defined using a combination of ICD-9 codes and tumor registry entries. Controls include BioVU participants without cancer and encompassing the age and gender distributions of cancer cases. Targeted genotyping of GWAS-identified variants for these diseases (124 SNPs) and ancestry informative markers (128 AIMs) was performed by the Center for Human Genetics Research Vanderbilt DNA Resources Core. After quality control, a total of 116 cancer-associated SNPs and 122 AIMs were available for downstream analyses.

pht003614.v1.p1

1 Item-grupp 2 Dataelement

pht003615.v1.p1

1 Item-grupp 3 Dataelement

pht003616.v1.p1

1 Item-grupp 58 Dataelement

pht003617.v1.p1

1 Item-grupp 5 Dataelement
- 2022-10-12 - 4 Formulär, 1 Item-grupp, 8 Dataelement, 1 Språk
Item-grupp: IG.elig
Principal Investigator: Riccardo Dalla-Favera, Institute for Cancer Genetics, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA MeSH: Lymphoma, Follicular,Lymphoma, Non-Hodgkin https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000328 *Version 1.* Diffuse Large B-cell Lymphoma (DLBCL) represents the most common form of B-cell non-Hodgkin Lymphoma (B-NHL), accounting for ~30% of the *de novo* diagnoses and also arising as a frequent clinical evolution of Follicular Lymphoma (FL). The molecular pathogenesis of DLBCL is associated with multiple genetic lesions that in part distinctly segregate with individual phenotypic subtypes, suggesting the involvement of distinct oncogenic pathways. However, the lesions identified so far likely represent only a fraction of those necessary for malignant transformation. In order to characterize the entire set of structural alterations present in the DLBCL genome, we have integrated next generation whole exome sequencing analysis of 6 DLBCL cases and genome-wide high-density SNP array analysis of 72 DLBCL cases. We report here that FL and DLBCL harbor frequent structural alterations inactivating *CREBBP* and, more rarely, *EP300*, two highly related histone and non-histone acetyltransferases (HATs) that act as transcriptional co-activators in multiple signaling pathways. Overall, ~37% of DLBCL and 36% of FL cases display genomic deletions and/or somatic point mutations that remove or inactivate the HAT coding domain of these two genes. These lesions commonly affect a single allele, suggesting that reduction in HAT dosage is important for lymphomagenesis. We demonstrate specific defects in the acetylation-mediated inactivation of the BCL6 oncoprotein and activation of the p53 tumor suppressor. These results identify *CREBBP/EP300* mutations as a major pathogenic mechanism shared by common forms of B-NHL, and have direct implications for the use of drugs targeting acetylation/deacetylation mechanisms. *Version 2.* Follicular lymphoma (FL) is an indolent, but incurable disease that, in 30-40% of cases, undergoes transformation to an aggressive diffuse large B cell lymphoma (DLBCL). The history of clonal evolution and the mechanisms that underlie transformation to DLBCL (tFL) remain largely unknown. Using whole exome sequencing and copy number analysis of 39 tFL patients, including 12 with paired sequential FL/tFL biopsies, we show that, in most cases, FL and tFL arise by divergent evolution from a common mutated precursor cell through the acquisition of distinct genetic lesions. Mutations in epigenetic modifiers (e.g., *MLL2, CREBBP, EZH2, ARID1A*) and anti-apoptotic genes (*BCL2, FAS*) were observed in 93% (36/39) and 78% (30/39) of cases, respectively, and were invariably shared between the two disease phases, suggesting an early acquisition in the common mutated precursor. Conversely, the development of tFL is associated with deregulation of genes involved in the control of cell proliferation, cell cycle progression and DNA damage responses (*CDKN2A/2B, MYC, TP53*), as well as with an aberrant activity of the somatic hypermutation mechanism. Finally, we show that the genomic profile of tFL shares significant similarities with that of germinal center B-cell type *de novo* DLBCL, but also displays unique combinations of altered genes that may explain the dismal clinical course of tFL. *Version 3. *This version includes thirty-five additional de novo DLBCL samples, newly diagnosed, and their paired normal DNA from previously untreated patients, which were analyzed by whole exome sequencing (n=27T and 25N), whole genome sequencing (8T and 10N), and/or targeted HLA-next generation sequencing (n=26T/N pairs) in order to identify genetic alterations associated with loss of surface MHC-II expression.

pht002132.v3.p1

1 Item-grupp 3 Dataelement

pht002133.v3.p1

1 Item-grupp 2 Dataelement

pht002134.v3.p1

1 Item-grupp 7 Dataelement

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