Project description:Systematic characterization of the plasma proteome in healthy and diseased state may uncover the potential biomarkers of disease diagnosis, prognosis and/or relapse detection. We, in this research project, have employed two-dimensional gel electrophoresis in conjunction with mass spectrometry-based analysis in a proteome-wide search for the identification of biomarkers of chronic-phase chronic myeloid leukemia (CP-CML).
Project description:Newly diagnosed chronic phase chronic myeloid leukemia (CML) patients with a major cytogenetic response (MCyR) after 12 months of imatinib therapy have an excellent long-term outcome, while patients without MCyR have a high progression risk. Since patients with primary cytogenetic resistance may benefit from more intensive therapy up-front, we sought to identify biomarkers to predict MCyR. Keywords: Two group comparison to identify trasncriptomic signature that predicts response to therapy CD34+ cells were isolated from cryopreserved mononuclear cells of chronic phase CML patients with a complete cytogenetic response (CCyR) or >65% Ph-positive metaphases after 12 months of imatinib therapy (training set N=36). Gene expression profiles generated on amplified RNA using Affymetrix HG-U133 Plus 2.0 arrays were compared between responders and non-responders, using the criteria ANOVA p<0.1 and fold difference >I1.5I. A minimal response classifier derived from the comparison was used to predict response in a prospectively collected validation set using same criteria for responders/nonresponders (N=23).
Project description:Newly diagnosed chronic phase chronic myeloid leukemia (CML) patients with a major cytogenetic response (MCyR) after 12 months of imatinib therapy have an excellent long-term outcome, while patients without MCyR have a high progression risk. Since patients with primary cytogenetic resistance may benefit from more intensive therapy up-front, we sought to identify biomarkers to predict MCyR. Keywords: Two group comparison to identify trasncriptomic signature that predicts response to therapy
Project description:The Bmi1 Polycomb protein is involved in the epigenetic repressive control of self renewal and survival of cancer initiating cells. In Chronic Myeloid Leukemia (CML), bmi1 expression increases gradually as the disease progresses from a chronic latent phase to a deadly blast crisis. We developped an inducible shRNA system to silence Bmi1 in the human K562 chronic myeloid leukemia (CML) cell line in order to identify new Bmi1-target genes. Gene profiling was performed on inducible shBmi1-K562 cells incubated without (P3-K562+shBMI1) or with doxycycline for 96h (P4-K562+shBMI1+doxycycline) using HG-U133 Plus2 Affymetrix Arrays.
Project description:The Bmi1 Polycomb protein is involved in the epigenetic repressive control of self renewal and survival of cancer initiating cells. In Chronic Myeloid Leukemia (CML), bmi1 expression increases gradually as the disease progresses from a chronic latent phase to a deadly blast crisis. We developped an inducible shRNA system to silence Bmi1 in the human K562 chronic myeloid leukemia (CML) cell line in order to identify new Bmi1-target genes.
Project description:Its a mathematical model depicting CML (chronic myelogenous leukemia) interaction with T cells and impact of T cell activations on CML progression over time.
Project description:This study compares the epigenetic signatures of CD34+ cells from chronic phase chronic myeloid leukemia (CML) samples and blast phase CML samples v.s. normal CD34+ cells from cord blood and adult bone marrow samples. H3K27me3 genomic loci were detected by ChIP-seq.
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:HNRNPH1 is a Novel Regulator of Disease Progression in Chronic Myeloid Leukemia
Project description:Chronic myeloid leukemia (CML) is a hematopoetic stem cell disease with distinct biological and clinical features. The biological foundation of the stereotypical progression from chronic phase through accelerated phase to blast crisis is poorly understood. We used DNA microarrays to compare gene expression in 91 cases of CML in chronic (42 cases), accelerated (17 cases), and blast phases (32 cases). Three thousand genes were found to be significantly (p<10-10) associated with the progression from chronic to blast phase. A comparison of the gene signatures of chronic, accelerated, and blast phases suggest that the progression of chronic phase CML from chronic advanced phase (accelerated and blast crisis) CML is a two-step rather than a three-step process, with new gene expression changes occurring early in accelerated phase before the accumulation of increased leukemia blast cells. The genetic signature of advanced phase CML is similar to that of normal CD34+ cells; however, progression also involved novel genes not expressed in normal CD34+ cells. Especially noteworthy is deregulation of the WNT/b-catenin pathway, the decreased expression of both JunB and Fos, and dysregulation of genes under the control of MZF1 and delta EF1 zinc finger transcription factors. Studies of CML patients who relapsed after initially successful treatment with imatinib mesylate demonstrated a gene expression pattern closely related to advanced phase disease. Take together, these data suggest that CML progression begins relative early and before clinical and pathological detection, and features distinct genetic differences compared to normal hematpoetic cells that might provide diagnostic and therapeutic targets. Samples from different phases of CML were hybridized against the pool of chronic phases of samples.