Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

State-transition Modeling of Blood Transcriptome Predicts Disease Evolution and Treatment Response in Chronic Myeloid Leukemia (CML)

ABSTRACT: Chronic myeloid leukemia (CML) is initiated and initially maintained solely by the fusion gene BCR-ABL, encoding a mutant protein targeted in the clinic with tyrosine kinase inhibitors (TKIs) While TKI treatment is effective in inducing long-term remission, frequently is not curative. For these reasons, CML is an ideal disease to test our hypothesis that that transcriptome-based state-transition models accurately predict cancer evolution and treatment response. We hypothesized that transcriptome-based state-transition models accurately predict cancer evolution and treatment response.

ORGANISM(S): Mus musculus

PROVIDER: GSE244990 | GEO | 2023/11/02

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Gene expression profiling of pre-HPCs derived from CML-iPSCs

Project description:Properties of cancer stem cells (CSC) involved in drug-resistance and relapse have significant effect on clinical outcome. Although tyrosine kinase inhibitors (TKIs) have dramatically improved survival of patients with chronic myelogenous leukemia (CML), TKIs have not fully cure CML due to TKI-resistant CML stem cells. Moreover, the relapse after discontinuation of TKIs has not been predicted in CML patients with best TKI-response. In our study, pre-hematoopoietic progenitor cells (pre-HPCs), a model of CML stem cells derived from CML-iPSCs identified a novel antigen of TKI-resistant CML cells. Even in the fraction reported as TKI-sensitive, the antigen+ cells showed TKI-resistance in CML patients. In addition, residual CML cells in patients with optimal TKI-response were concentrated in the antigen+ population.

2016-12-21 | GSE92624 | GEO

Sequencing of chronic myeloid leukemia (CML) cell lines upon upregulation or downregulation of G0/G1 switch gene (G0S2)

Project description:Current treatment for CML involves tyrosine kinase inhibitors (TKIs), which turned it into a managable disease. In a transcriptional profile of TKI-resistant versus newly diagnosed CML patient samples, G0S2 was shown to be profoundly downregulated.

2021-04-13 | GSE171945 | GEO

Expression profiling in exosomal miRNAs of CML patients with musculoskeletal pain associated with discontinuation of Imatinib

Project description:An approximately 60% of chronic myeloid leukemia (CML) patients who achieved a deep molecular response for more than 2 years maintained a major molecular response after discontinuation of imatinib. These findings indicate the possibility that a portion of CML patients treated with Tyrosine kinase inhibitors (TKIs) could discontinue TKI therapy, although long-term prognosis and/or adverse events after TKIs cessation remain unclear. Recent reports showed that transient musculoskeletal pain occurs in approximately 30% of CML patients after stopping imatinib. To ascertain the factors underlying musculoskeletal events after TKI cessation, we investigated exosomal miRNA in five CML patients who did not experience musculoskeletal events and five patients with musculoskeletal pain after stopping TKIs.

2016-12-15 | GSE85903 | GEO

Early and late TKI response of CML stem cells

Project description:Chronic myeloid leukaemia (CML) is a clonal haemopoietic stem cell (HSC) disorder associated with the BCR-ABL oncogene, which encodes a constitutively active tyrosine kinase. We have demonstrated the existence of CML HSC which are resistant to the tyrosine kinase inhibitors (TKI). We have hypothesised that CML stem cells are dependent on key survival pathways that are induced by TKI treatment. In order to elucidate these key survival pathways, we have investigated the transcriptional differences between CML stem/progenitor cells (CD34+38-) treated with TKIs (imatinib, dasatinib and nilotinib) at different time points (8 hours and 7 days, in the absence of growth factors) and by carrying out RNA profiling for the different populations. CD34+38- cells were isolated from chronic phase patient samples. >100ng of total RNA was amplified prior to analysis that was carried out with Affymetrix Human Gene 1.0 ST array.

2018-01-20 | E-MTAB-2594 | biostudies-arrayexpress

Genomic profiling of imatinib resistant and sensitive K562 cells to obtain insights into imatinib resistance

Project description:Chronic myeloid leukemia (CML) epitomizes successful targeted therapy, with 86% of patients in the chronic phase treated with tyrosine kinase inhibitors (TKIs) attaining remission. However, resistance to TKIs occurs during treatment, and patients with resistance to TKIs progress to the acute phase called Blast Crisis (BC), wherein the survival is restricted to 7-11 months. About 80 % of patients in BC are unresponsive to TKIs. This issue can be addressed by identifying a molecular signature which can predict resistance in CML-CP prior to treatment as well as by delineating the molecular mechanism underlying resistance. Herein, we report genomic analysis of CML patients and imatinib-resistant K562 cell line to achieve the same. WGS was performed on imatinib-sensitive and -resistant K562 cells. Library preparation was done by 30x WGS KAPA PCR-Free v2.1 kit, and Illumina HiSeq X sequencer was used for 2 x 150 bp paired-end sequencing. Our study identified accumulation of aberrations on chromosomes 1, 3, 7, 16 and 22 as predictive of occurrence of resistance. Further, recurrent amplification in chromosomal region 8q11.2-12.1 was detected in highly resistant K562 cells as well as CML patients. The genes present in this region were analyzed to understand molecular mechanism of imatinib resistance.

2024-01-01 | E-MTAB-11896 | biostudies-arrayexpress

Genomic profiling of immature hematopoietic cells to obtain insights into imatinib resistance

Project description:Chronic myeloid leukemia (CML) epitomizes successful targeted therapy, with 86% of patients in the chronic phase treated with tyrosine kinase inhibitors (TKIs) attaining remission. However, resistance to TKIs occurs during treatment, and patients with resistance to TKIs progress to the acute phase called Blast Crisis (BC), wherein the survival is restricted to 7-11 months. About 80 % of patients in BC are unresponsive to TKIs. This issue can be addressed by identifying a molecular signature which can predict resistance in CML-CP prior to treatment as well as by delineating the molecular mechanism underlying resistance. Herein, we report genomic analysis of CML patients and imatinib-resistant K562 cell line to achieve the same. Thirteen CML patients (sensitive and resistant to TKIs) and 2 BMT donors (as control) were recruited for the study. DNA was isolated from an enriched CD34+ fraction for each sample as well as from K562 cells made resistant to imatinib which provided a model system for further molecular investigations. DNA was subjected to Cytoscan HD array (Affymatrix) analysis from patient samples and cell lines. Affymetrix CytoScan™ HD array (Applied Biosystems™, Cat# 901835) chip consists of 2.6 M oligonucleotide probes across the genome, including 1953K unique non-polymorphic probes and 750K bi-allelic SNP (single nucleotide polymorphism) probes. Our study identified accumulation of aberrations on chromosomes 1, 3, 7, 16 and 22 as predictive of occurrence of resistance. Further, recurrent amplification in chromosomal region 8q11.2-12.1 was detected in highly resistant K562 cells as well as CML patients. The genes present in this region were analyzed to understand molecular mechanism of imatinib resistance.

2024-01-01 | E-MTAB-11899 | biostudies-arrayexpress

Neddylation Status Determines the Therapeutic Sensitivity of BCR-ABL1-targeting Tyrosine Kinase Inhibitors in Chronic Myeloid Leukemia

Project description:BCR-ABL1-targeting tyrosine kinase inhibitors (TKIs) dominate the treatment of chronic myeloid leukemia (CML) over the past decades. In this study, we reported an unexpected role of neddylation inhibitors in desensitizing the therapeutic efficacy of BCR-ABL1-targeting TKIs in CML. Unlike their function in reducing drug resistance in many solid tumors, we revealed that neddylation inhibitors counteracted the cytotoxicity of TKIs against CML cells, both in cellular experiments and in animal model. Conversely, neddylation agonist sensitized the function of TKIs. RNA sequencing data revealed that neddylation inhibitor reversed the transcriptomic changes induced by TKI. Co-immunoprecipitation (co-IP) assay identified ABL1 kinase domain as a novel substrate for neddylation. Furthermore, an artificial intelligence (AI) 3-Dimensional spatial structure binding technology was employed to predict the impact of neddylation on the structure of ABL1 kinase domain. Finally, we provided potential evidence showing that TKI therapy decreased the expression of neddylation enzymes in the bone marrow of CML patients. Hence, our study offers new insights into the post-translational modification (PTM)-mediated drug resistance, and highlights the potential clinical benefits of neddylation agonists in improving the responsiveness of BCR-ABL1 TKIs in CML.

2024-09-15 | GSE275701 | GEO

Targeting FLT3-TAZ Signaling to Suppress Drug Resistance in Blast Crisis Chronic Myeloid Leukemia

Project description:Although the development of tyrosine kinase inhibitors (TKIs), including BCR-ABL1 targeted therapies, rendered chronic myeloid leukemia (CML) a manageable condition, acquisition of drug resistance during blast crisis (BC) progression remains a critical challenge. Here, we elucidate the significance of FLT3 signaling in the acquisition of drug resistance in BC-CML. Mechanistically, FLT3 expression in CML cells activated FLT3-JAK-STAT3-TAZ-TEAD-CD36 pathway, which conferred resistance to wide range of tyrosine kinase inhibitors (TKIs). Remarkably, a subgroup of BC-CML patients who expressed FLT3 showed strong correlation with the prognostic factors of CML independent of recurrent BCR-ABL1 mutations. We demonstrate that combining FLT3 inhibitors with BCR-ABL1 targeted therapies or single treatment with ponatinib can overcome drug resistance and promote cell death in patient-derived FLT3+ BC-CML cells and mouse xenograft models. Our findings reveal the mechanism of FLT3-mediated drug resistance in BC progression and suggest the inclusion of FLT3 as a therapeutic target for this defined group of patients.

2023-11-15 | GSE226360 | GEO

State-Transition Analysis of Time-Sequential Gene Expression Identifies Critical Points That Predict Leukemia Development

Project description:Temporal dynamics of gene expression are informative of changes associated with disease development and evolution. Given the complexity of high-dimensionaltemporal datasets, an analytical framework guided by a robust theory is needed to interpret time-sequential changes and to predict system dynamics. Herein, we use acute myeloid leukemia as a proof-of-principle to model gene expression dynamics in a transcriptome state-space constructed based on time-sequential RNA-sequencing data. We describe the construction of a state-transition model to identify state-transition critical points which accurately predicts leukemia development. We show an analytical approach based on state-transition critical points identifies step-wise transcriptomic perturbations driving leukemia progression. Furthermore, the gene(s) trajectory and geometry of the transcriptome state-space provides biologically-relevant gene expression signals that are not synchronized in time, and allows quantification of gene(s) contribution to leukemia development. Therefore, our state-transition model can synthesize information, identify critical points to guide interpretation of transcriptome trajectories and predict disease development.

2020-04-23 | GSE133642 | GEO

Gene expression profiles of mouse BM LSKs, wild-type as well as Ezh2 KO mouse CML leukemia initiating cells (LICs)

Project description:Tyrosine kinase inhibitors (TKIs) have revolutionized chronic myelogenous leukemia (CML) management. Disease eradication, however, is hampered by innate resistance of leukemia initiating cells (LICs) to TKI-induced killing, which also provides the basis for subsequent emergence of TKI-resistant mutants. We report that EZH2, the catalytic subunit of Polycomb Repressive Complex 2 (PRC2), is overexpressed in CML LICs, required for colony formation, and survival and cell cycle progression of CML cell lines. A critical role for Ezh2 is supported by genetic studies in a mouse CML model. Inactivation of Ezh2 in conventional conditional mice and through CRISPR/Cas9-mediated gene editing prevents initiation and maintenance of disease and survival of LICs, irrespective of BCR/ABL1 mutational status, and extends survival. Expression of the Ezh2 homolog Ezh1 is reduced in Ezh2-deficient CML LICs, creating a scenario resembling complete loss of PRC2. EZH2-dependence of CML LICs raises prospects for improved therapy of TKI-resistant CML and/or eradication of disease by addition of EZH2 inhibitors.

2016-08-18 | GSE85744 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data