Project description:Chronic lymphocytic leukemia (CLL) is a malignant lymphoproliferative disorder characterized by the accumulation of small mature B cells in blood and secondary lymphoid tissues. Novel drugs, such as the Bruton tyrosine kinase (BTK) inhibitor ibrutinib, have greatly improved survival expectations of CLL patients, nevertheless acquired drug resistance represents a major challenge the molecular mechanisms of which have not been elucidated yet. In order to fill this knowledge gap, we generated a mouse model of ibrutinib resistance by treating mice upon adoptive transfer of Eµ-TCL1 leukemia (TCL1-CLL) continuously with ibrutinib. After an initial response to the treatment, relapse under therapy occurs with an aggressive outgrowth of the malignant cells, resembling observations in patients. To unravel relapse mechanism, we performed transcriptome and proteome analyses of sorted TCL1-CLL cells both during treatment and after relapse. Comparative analysis of these omics layers suggested alterations in the proteasome activity as a driver of ibrutinib resistance. Accordingly, we showed that preclinical treatment with the irreversible proteasome inhibitor (PI) carfilzomib administered upon ibrutinib resistance prolonged survival of mice, thus acting as salvage therapy. Longitudinal proteomic analysis of CLL patients with ibrutinib resistance identified deregulation in protein post-translational modifications. In addition, CLL cells from ibrutinib-resistant patients effectively responded to several PIs in co-culture assays. Altogether, our results from orthogonal omics approaches identified proteasome inhibition as potentially attractive innovative salvage treatment option for CLL patients resistant or refractory to ibrutinib.
Project description:Chronic lymphocytic leukemia (CLL) is a malignant lymphoproliferative disorder characterized by the accumulation of small mature B cells in blood and secondary lymphoid tissues. Novel drugs, such as the Bruton tyrosine kinase (BTK) inhibitor ibrutinib, have greatly improved survival of CLL patients, nevertheless acquired drug resistance represents a major challenge the molecular mechanisms of which have not been fully elucidated yet. To overcome this limitation, we generated a mouse model of ibrutinib resistance by treating mice upon adoptive transfer of Eµ-TCL1 leukemia (TCL1-CLL) continuously with ibrutinib. After an initial response to the treatment, relapse under therapy occurs with an aggressive outgrowth of malignant cells, resembling observations in patients. To unravel relapse mechanism, we performed transcriptome and proteome analyses of sorted TCL1-CLL cells both during treatment and after relapse. Comparative analysis of these omics layers suggested alterations in the proteasome activity as a driver of ibrutinib resistance. Accordingly, we showed that preclinical treatment with the irreversible proteasome inhibitor (PI) carfilzomib administered upon ibrutinib resistance prolonged survival of mice, thus acting as salvage therapy. Longitudinal proteomic analysis of CLL patients with ibrutinib resistance identified deregulation in protein post-translational modifications. In addition, CLL cells from ibrutinib-resistant patients effectively responded to several PIs in co-culture assays. Altogether, our results from orthogonal omics approaches identified proteasome inhibition as potentially attractive salvage treatment option for CLL patients resistant or refractory to ibrutinib.
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
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.