Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA331176 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Adaptation of Chronic Lymphocytic Leukemia Cells to Ibrutinib Therapy
| PRJNA526453 | ENA
Project description:SLAMF1/CD150 regulates chemotaxis, autophagy and therapy responses in chronic lymphocytic leukemia patients
| PRJNA284685 | ENA
Project description:We studied the value of the microRNAs as a signature for Chronic lymphocytic leukemia (CLL) patients with specific chromosomal abnormalities. We found that MiR-181b is abiomarker of disease progression in Chronic Lymphocytic Leukemia
2011-09-22 | E-MTAB-683 | 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:Clonal Evolution in Patients with Chronic Lymphocytic Leukemia
| PRJNA315752 | ENA
Project description:Micro-RNA expression data of CD19 selected B-cells from previously treated and relapsed chronic lymphocytic leukemia patients. We aimed to correlate miR-34a with TP53 mutation status and del17p status. CD19 B-cells from previously treated and relapsed chronic lymphocytic leukemia patients were selected for RNA extraction and hybridization on Affymetrix microarrays.
2013-03-21 | E-GEOD-45328 | biostudies-arrayexpress
Project description:MALT1 Inhibition Is Efficacious in Both Naïve and Ibrutinib-Resistant Chronic Lymphocytic Leukemia.
| PRJNA384250 | ENA
Project description:Ibrutinib, an irreversible Bruton Tyrosine Kinase (BTK) inhibitor, has revolutionized Chronic Lymphocytic Leukemia (CLL) treatment, but resistances to ibrutinib have emerged in relation or not to BTK mutations. Evolution patterns of CLL before and after ibrutinib therapy are often focused only on leukemic cells but must be investigated in the context of the CLL microenvironment. Single cell RNA-seq and related technologies allow a deeper characterization of cancer and normal cells. We therefore investigated whether ibrutinib treatment drives molecular changes in CLL. Here, we report the monitoring of a CLL patient under ibrutinib treatment using Cellular Indexing of Transcriptomes and Epitopes by sequencing (CITE-Seq) technology. We report that the short clinical relapse of this patient, driven by BTK mutation, is associated with intra-clonal heterogeneity and transcriptional and phenotypical modifications in both B leukemic and immune cells. These results open new therapeutic strategies for ibrutinib-refractory CLL patients.
2020-12-15 | GSE152469 | GEO