Ontology highlight
ABSTRACT:
PROVIDER: PRJNA352060 | ENA |
REPOSITORIES: ENA
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Project description:The effects of 7.5 micromolar parthenolide (PTL) were assessed on primary CD34+ acute myelogenous leukemia specimens obtained from 12 patients. Experiment Overall Design: Acute myelogenous leukemia (AML) specimens were obtained from 12 patients and CD34+ cells were isolated. For each patient, cells were cultured in vitro and exposed to either 7.5 micromolar parthenolide (PTL) or left untreated (UT) for 6 h. Total RNA was then harvested for global gene expression analysis.
2008-04-07 | E-GEOD-7538 | biostudies-arrayexpress
Project description:Clonal evolution and devolution following chemotherapy in adult acute myelogenous leukemia
| PRJNA177821 | ENA
Project description:The microbiome has a strong impact on human health and disease and is therefore increasingly studied in a clinical context. Metaproteomics is also attracting considerable attention and such data can be efficiently generated today owing to improvements in mass spectrometry based proteomics. As we will discuss in this study, there are still major challenges notably in data analysis that need to be overcome. Here, we analyzed 212 fecal samples from 56 hospitalized acute leukemia patients with multidrug-resistant Enterobactericeae (MRE) colonization using metagenomics and metaproteomics. This is one of the largest clinical metaproteomic studies to date and the first addressing the gut microbiome in MRE colonized acute leukemia patients. Based on this substantial data set, we discuss major current limitations in clinical metaproteomic data analysis to provide guidance to researchers in the field. Notably, the results show that public metagenome databases are incomplete and that sample-specific metagenomes improve results. Furthermore, biological variation is tremendous which challenges clinical study designs and argues that longitudinal measurements of individual patients are a valuable addition to the analysis of patient cohorts.
2019-01-14 | PXD011515 | Pride
Project description:The effects of 7.5 micromolar parthenolide (PTL) were assessed on primary CD34+ acute myelogenous leukemia specimens obtained from 12 patients. Keywords: drug response, gene expression search agent
2008-02-27 | GSE7538 | GEO
Project description:<p><strong>INTRODUCTION:</strong> Acute lymphoblastic leukemia (ALL) is among the most common cancers in children. With improvements in combination chemotherapy regimens, the overall survival has increased to over 90%. However, the current challenge is to mitigate adverse events resulting from the complex therapy. Several chemotherapies intercept cancer metabolism, but little is known about their collective role in altering host metabolism.</p><p><strong>OBJECTIVES:</strong> We profiled the metabolomic changes in plasma of ALL patients initial- and post- induction therapy.</p><p><strong>METHODS:</strong> We exploited a biorepository of non-fasted plasma samples derived from the Dana Farber Cancer Institute ALL Consortium; these samples were obtained from 50 ALL patients initial- and post-induction therapy. Plasma metabolites and complex lipids were analyzed by high resolution tandem mass spectrometry and differential mobility tandem mass spectrometry. Data were analyzed using a covariate-adjusted regression model with multiplicity adjustment. Pathway enrichment analysis and co-expression network analysis were performed to identify unique clusters of molecules.</p><p><strong>RESULTS:</strong> More than 1200 metabolites and complex lipids were identified in the total of global metabolomics and lipidomics platforms. Over 20% of those molecules were significantly altered. In the pathway enrichment analysis, lipids, particularly phosphatidylethanolamines (PEs), were identified. Network analysis indicated that the bioactive fatty acids, docosahexaenoic acid (DHA)-containing (22:6) triacylglycerols (TAGs), were decreased in the post-induction therapy.</p><p><strong>CONCLUSION:</strong> Metabolomic profiling in ALL patients revealed a large number of alterations following induction chemotherapy. In particular, lipid metabolism was substantially altered. The changes in metabolites and complex lipids following induction therapy could provide insight into the adverse events experienced by ALL patients. </p>
2021-08-12 | MTBLS2394 | MetaboLights
Project description:Ribba2012 - Low-grade gliomas, tumour growth inhibition model
Using longitudinal mean tumour diameter (MTD) data, this model describe the size evolution of low-grade glioma (LGG) in patients treated with chemotherapy or radiotherapy.
This model is described in the article:
A tumour growth inhibition model for low-grade glioma treated with chemotherapy or radiotherapy
Ribba B, Kaloshi G, Peyre M, Ricard D, Calvez V, Tod M, Cajavec-Bernard B, Idbaih A, Psimaras D, Dainese L, Pallud J, Cartalat-Carel S, Delattre JY, Honnorat J, Grenier E, Ducray F.
Clin. Cancer Res. 2012 Sep; 18(18): 5071-5080
Abstract:
PURPOSE: To develop a tumor growth inhibition model for adult diffuse low-grade gliomas (LGG) able to describe tumor size evolution in patients treated with chemotherapy or radiotherapy.
EXPERIMENTAL DESIGN: Using longitudinal mean tumor diameter (MTD) data from 21 patients treated with first-line procarbazine, 1-(2-chloroethyl)-3-cyclohexyl-l-nitrosourea, and vincristine (PCV) chemotherapy, we formulated a model consisting of a system of differential equations, incorporating tumor-specific and treatment-related parameters that reflect the response of proliferative and quiescent tumor tissue to treatment. The model was then applied to the analysis of longitudinal tumor size data in 24 patients treated with first-line temozolomide (TMZ) chemotherapy and in 25 patients treated with first-line radiotherapy.
RESULTS: The model successfully described the MTD dynamics of LGG before, during, and after PCV chemotherapy. Using the same model structure, we were also able to successfully describe the MTD dynamics in LGG patients treated with TMZ chemotherapy or radiotherapy. Tumor-specific parameters were found to be consistent across the three treatment modalities. The model is robust to sensitivity analysis, and preliminary results suggest that it can predict treatment response on the basis of pretreatment tumor size data.
CONCLUSIONS: Using MTD data, we propose a tumor growth inhibition model able to describe LGG tumor size evolution in patients treated with chemotherapy or radiotherapy. In the future, this model might be used to predict treatment efficacy in LGG patients and could constitute a rational tool to conceive more effective chemotherapy schedules.
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2014-03-01 | BIOMD0000000521 | BioModels
Project description:<p>Although multi-agent combination chemotherapy is curative in a significant fraction of childhood acute lymphoblastic leukemia (ALL) patients, 20% of cases relapse and most die due to chemo-refractory disease. Here we used whole-exome and whole-genome sequencing to analyze the mutational landscape and pattern of clonal evolution at relapse in pediatric ALL cases. These analyses showed that ALL relapses originate from a common ancestral precursor clone of the diagnosis and relapsed populations and frequently harbor mutations implicated in chemotherapy resistance. RAS-MAPK pathway activating mutations in NRAS, KRAS and PTPN11 were present in 24/55 (44%) cases in our series. Notably, while some cases showed emergence of RAS mutant clones at relapse, in others, RAS mutant clones present at diagnosis were replaced by RAS wild type populations. Mechanistically, functional dissection of mouse and human wild type Kras and mutant Kras (Kras G12D) isogenic leukemia cells demonstrated induction of methotrexate resistance, but also improved response to vincristine, in mutant Kras- expressing lymphoblasts. These results identify chemotherapy driven selection as a central mechanism of leukemia clonal evolution and pave the road for the development of tailored personalized therapies for the treatment of relapsed ALL. </p>
| phs001072 | dbGaP
Project description:This study reports the ability of WEB-2170, an antagonist of platelet-activating-factor receptor, to induce apoptosis in human acute myelogenous leukemia (AML) cells. Action mechanisms of WEB-2170 were first investigated in promyelocytic NB4 cells by DNA microarray profiling followed by morphologic, cytofluorimetric and biological analyses which were then extended to other AML cell lines including KG1, NB4-MR4, THP1 and U937, and, eventually, to blasts from patients with different AML subtypes (M0-M5).
2011-03-22 | E-GEOD-12645 | biostudies-arrayexpress
Project description:Acute myeloid leukemia is characterized by a minor fraction of primitive leukemia stem cells (LSCs) that sustain disease propagation and may be at the origin of late relapse. Yet, LSC contribution to early therapy resistance and AML regeneration remains controversial. We prospectively identified LSCs in NPM1-mutated AML patients and xenografts by means of a microRNA-126 reporter and single cell RNA sequencing, precisely discriminating LSCs from regenerating hematopoiesis, and assessed their longitudinal response to chemotherapy. We here show that chemotherapy resulted in distinct outcomes within AML subpopulations: while the bulk leukemia proliferated and differentiated with expression of oxidative-phosphorylation signatures, persisting miR-126high LSCs enforced protective stemness and dormancy features, along with a generalized inflammatory and senescence-associated response. miR-126high LSCs were enriched at diagnosis in patients with chemotherapy-refractory AML. We derived a novel miR-126high LSC transcriptional signature, which robustly stratified patients for overall survival in large AML cohorts, shining the spotlight on LSCs as determinants of early therapy resistance.
2023-02-06 | GSE185824 | GEO
Project description:Acute myeloid leukemia is characterized by a minor fraction of primitive leukemia stem cells (LSCs) that sustain disease propagation and may be at the origin of late relapse. Yet, LSC contribution to early therapy resistance and AML regeneration remains controversial. We prospectively identified LSCs in NPM1-mutated AML patients and xenografts by means of a microRNA-126 reporter and single cell RNA sequencing, precisely discriminating LSCs from regenerating hematopoiesis, and assessed their longitudinal response to chemotherapy. We here show that chemotherapy resulted in distinct outcomes within AML subpopulations: while the bulk leukemia proliferated and differentiated with expression of oxidative-phosphorylation signatures, persisting miR-126high LSCs enforced protective stemness and dormancy features, along with a generalized inflammatory and senescence-associated response. miR-126high LSCs were enriched at diagnosis in patients with chemotherapy-refractory AML. We derived a novel miR-126high LSC transcriptional signature, which robustly stratified patients for overall survival in large AML cohorts, shining the spotlight on LSCs as determinants of early therapy resistance.
2023-02-06 | GSE185991 | GEO