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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Inactivation of TP53 correlates with disease progression and low miR-34a expression in previously treated chronic lymphocytic leukemia patients

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

SUBMITTER: Giuseppe Palermo

PROVIDER: E-GEOD-45328 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Inactivation of TP53 correlates with disease progression and low miR-34a expression in previously treated chronic lymphocytic leukemia patients

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.

2013-03-21 | GSE45328 | GEO

Lenalidomide With or Without Rituximab in Treating Patients With Progressive or Relapsed Chronic Lymphocytic Leukemia, Small Lymphocytic Lymphoma, Prolymphocytic Leukemia, or Non-Hodgkin Lymphoma Previously Treated With Donor Stem Cell Transplant

Project description:This phase II trial studies how well giving lenalidomide with or without rituximab works in treating patients with progressive or relapsed chronic lymphocytic leukemia (CLL), small lymphocytic lymphoma (SLL), prolymphocytic leukemia (PLL), or non-Hodgkin lymphoma (NHL). Biological therapies, such as lenalidomide, may stimulate the immune system in different ways and stop cancer cells from growing. Monoclonal antibodies, such as rituximab, can block cancer growth in different ways. Some block the ability of cancer to grow and spread. Others find cancer cells and help kill them or carry cancer-killing substances to them. Giving lenalidomide together with or without rituximab may kill more cancer cells.

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The intestinal microbiome as a predictive biomarker for efficacy and side effects of CAR-T cell therapy in blood cancers

Project description:Interventions: Group 1: Patients with relapsed or refractory diffuse large B-cell lymphoma (DLBCL) and patients with relapsed or refractory acute lymphocytic leukemia (ALL) who have been selected for treatment with CD19-targeting CAR-T cells will be recruited. Stool samples are collected at multiple timepoints (before lymphodepletion, before T-cell infusion, and after T-cell infusion). Primary outcome(s): The main outcome is bacterial alpha diversity according to Simpson (AD) at the time of CAR-T cell therapy, which should be associated with survival within 24 months. Study Design: Allocation: ; Masking: ; Control: ; Assignment: ; Study design purpose: treatment

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Rodrigues2019 - A mathematical model for chemoimmunotherapy of chronic lymphocytic leukemia

Project description:THis is a simple ordinary differential equation model describing chemoimmunotherapy of chronic lymphocytic leukemia, including descriptions of the combinatorial effects of chemotherapy and adoptive cellular immunotherapy.

2021-10-08 | BIOMD0000000879 | BioModels

Nanda2013 - B cell chronic lymphocytic leukemia A model with immune response

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.

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Retention of CD19 intron 2 contributes to CART-19 resistance in leukemias with subclonal frameshift mutations in CD19

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Project description:chronic lymphocytic leukemia sequencing

| PRJNA813751 | ENA

Homo sapiens

Project description:Chronic lymphocytic leukemia transcriptomes

| PRJNA222528 | ENA

Homo sapiens

Project description:Chronic lymphocytic leukemia xenograft

| PRJNA310110 | ENA

Immunotherapy-resistant acute lymphoblastic leukemia cells exhibit reduced CD19 and CD22 expression and BTK pathway dependency [RNA-seq]

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2024-03-06 | GSE255306 | GEO

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