CD3+ T-cells of B-cell chronic lymphocytic leukemia
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Lewin Eisele
PROVIDER: E-GEOD-19147 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:Analysis of T-cells isolated from CD3+ T-cells of patients with B-cell chronic lymphocytic leukemia (B-CLL). In contrast to other types of cancers, the non-malignant T-cell compartment of B CLL patients is expanded. Results provide insights into the role of T-cells in B-CLL.
2009-11-25 | GSE19147 | GEO
Project description:MiRNA expression is known to be deregulated in chronic lymphocytic leukemia (CLL). To get insight into miRNA expression pattern in CLL, we compaired miRNA expression profiling of peripheral blood-derived CLL cells and the healthy donor, peripheral blood-derived B-lymphocytes. A set of differentially expressed miRNAs was revealed.
2012-05-02 | GSE31599 | GEO
Project description:MiRNA expression is known to be deregulated in chronic lymphocytic leukemia (CLL). To get insight into miRNA expression pattern in CLL, we compaired miRNA expression profiling of peripheral blood-derived CLL cells and the healthy donor, peripheral blood-derived B-lymphocytes. A set of differentially expressed miRNAs was revealed. MiRNA expression profiling was performed on 18 CLL samples and one sample, which is a pool of 5 RNA samples of healthy donor peripheral blood-derived B-lymphocytes
2012-05-01 | E-GEOD-31599 | biostudies-arrayexpress
Project description:B cell chronic lymphocytic leukemia - A model with immune response
Seema Nanda 1, , Lisette dePillis 2, and Ami Radunskaya 3,
1.
Tata Institute of Fundamental Research, Centre for Applicable Mathematics, Bangalore 560065, India
2.
Department of Mathematics, Harvey Mudd College, Claremont, CA 91711
3.
Department of Mathematics, Pomona College, Claremont, CA, 91711, United States
Abstract
B cell chronic lymphocytic leukemia (B-CLL) is known to have substantial clinical heterogeneity. There is no cure, but treatments allow for disease management. However, the wide range of clinical courses experienced by B-CLL patients makes prognosis and hence treatment a significant challenge. In an attempt to study disease progression across different patients via a unified yet flexible approach, we present a mathematical model of B-CLL with immune response, that can capture both rapid and slow disease progression. This model includes four different cell populations in the peripheral blood of humans: B-CLL cells, NK cells, cytotoxic T cells and helper T cells. We analyze existing data in the medical literature, determine ranges of values for parameters of the model, and compare our model outcomes to clinical patient data. The goal of this work is to provide a tool that may shed light on factors affecting the course of disease progression in patients. This modeling tool can serve as a foundation upon which future treatments can be based.
Keywords: NK cell, chronic lymphocytic leukemia, mathematical model, T cell., B-CLL.
2020-01-09 | MODEL2001090002 | BioModels
Project description:Chronic lymphocytic leukemia (CLL) is a heterogeneous malignancy, characterized by a variable clinical course. While clinical and laboratory parameters are increasingly being used to refine prognosis, they do not accurately predict response to commonly used therapy. We used gene expression profiling to generate and further refine prognostic and predictive markers. Genomic signatures that reflect progressive disease and responses to chemotherapy or chemo-immunotherapy were created using cancer cell lines and patient leukemia samples. We validated these signatures using independent clinical data from four separate cohorts representing a total of 301 CLL patients. A prognostic genomic signature created from patient leukemic cell gene expression data coupled with clinical parameters could statistically differentiate patients with stable or progressive disease in the training dataset. The progression signature was then validated in two independent datasets, demonstrating a capacity to accurately identify patients at risk for progressive disease. In addition, two distinct genomic signatures that predict response to chlorambucil or pentostatin, cyclophosphamide, and rituximab were also generated and were shown to accurately distinguish responding and non-responding CLL patients. Microarray analysis of CLL patientsâ lymphocytes can be used to refine prognosis and predict response to different therapies. These results have direct implications for standard and investigational therapeutics in CLL patients. Experiment Overall Design: For the predictive genomic signature or response to pentostatin, cyclophosphamide, and rituximab, 20 CLL leukemia samples were used in the training set, and 20 CLL leukemia samples were used in the validation set
2009-11-11 | E-GEOD-10137 | biostudies-arrayexpress
Project description:Chronic lymphocytic leukemia (CLL) is a heterogeneous malignancy, characterized by a variable clinical course. While clinical and laboratory parameters are increasingly being used to refine prognosis, they do not accurately predict response to commonly used therapy. We used gene expression profiling to generate and further refine prognostic and predictive markers. Genomic signatures that reflect progressive disease and responses to chemotherapy or chemo-immunotherapy were created using cancer cell lines and patient leukemia samples. We validated these signatures using independent clinical data from four separate cohorts representing a total of 301 CLL patients. A prognostic genomic signature created from patient leukemic cell gene expression data coupled with clinical parameters could statistically differentiate patients with stable or progressive disease in the training dataset. The progression signature was then validated in two independent datasets, demonstrating a capacity to accurately identify patients at risk for progressive disease. In addition, two distinct genomic signatures that predict response to chlorambucil or pentostatin, cyclophosphamide, and rituximab were also generated and were shown to accurately distinguish responding and non-responding CLL patients. Microarray analysis of CLL patientsâ lymphocytes can be used to refine prognosis and predict response to different therapies. These results have direct implications for standard and investigational therapeutics in CLL patients. Experiment Overall Design: For the prognostic genomic signature, 68 CLL leukemia samples were used (36 from patients with stable disease and 32 from patients with progressive disease).
2009-11-11 | E-GEOD-10138 | biostudies-arrayexpress
Project description:CLL cells obtained from patients with CLL were treated with MLN4924 to determine whether NFkB transcription targets were affected by the drug.
2013-03-05 | GSE44864 | GEO
Project description:The cellular origin of chronic lymphocytic leukemia (CLL) is debated. Transcriptome analysis of CLL and normal peripheral blood and splenic B cell subsets displayed highest similarity of CLL to mature CD5+ B cells. We identified a distinct CD5+CD27+ post-germinal center B cell subset, and revealed that immunoglobulin V gene mutated CLL are more similar to mutated CD5+ B cells, whereas unmutated CLL are more related to unmutated CD5+ B cells. Stereotyped immunoglobulin V gene rearrangements were significantly enriched among CD5+ B cells, providing further genetic evidence for a derivation of CLL from CD5+ B cells. Moreover, we identified deregulated expression patterns providing novel insights into the pathophysiology of CLL, including downregulation of EBF1 and KLF family members. Transcriptome profiling of CLL and healthy human blood and splenic mature B cell subsets. Identification of deregulated transcription patterns with implications on CLL pathobiology. Human mature B cell subsets and CLL with mutated (mCLL) and unmutated V gene status (uCLL) were purified from peripheral blood and spleen. Samples of 5 to 7 donors each were collected and processed in three batches in a two rounded in vitro transcription protocol. Retrieved data were batch corrected and subjected to analysis. Human mature CD5+ B cell subsets and CLL with mutated (mCLL) and unmutated V gene status (uCLL) were purified from peripheral blood.
2012-09-27 | E-GEOD-36907 | biostudies-arrayexpress
Project description:Purified B cells from untreated CLL patients were tested at two time points by liquid chromatography-tandem mass spectrometry. Patients included in the study evolved to either progressive or stable disease . Samples were tested for both groups at diagnosis (Stage Binet A for all patients included), 3 years after diagnosis for the stable disease patients and at the time of progression to stage Binet B/C for those who progressed.
2021-06-01 | MSV000087556 | MassIVE
Project description:Transcriptional profiling of primary human malignant B cells from patients with chronic lymphocytic leukaemia (CLL), comparing untreated CLL cells with CLL cells that have been treated 24h with 200nM mithramycin. Mithramycin intercalates into GC-rich regions of DNA to inhibit binding of the transcription factor SP1. The goal of this experiment is to gain understanding of the genes regulated by SP1 in primary CLL cells.
2022-12-14 | GSE210348 | GEO