Transcription profiling of human primary acute lymphoblastic leukemia cells from bone marrow of 161 pediatric associated with methotrexate treatment response
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: William Evans
PROVIDER: E-GEOD-10255 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Genome-wide assessment of gene expression in primary acute lymphoblastic leukemia cells was performed to identify genomic determinants of MTX’s antileukemic effects. Reduction of circulating leukemia cells after in vivo methotrexate treatment served as a measure MTX's antileukemic effects. Keywords: gene expression associated with drug response
2008-03-15 | GSE10255 | GEO
Project description:<p>We estimated the plasma clearance of methotrexate from 1279 acute lymphoblastic leukemia (ALL) patients treated on the Children Oncology Group 9904 and 9905 trials (<a href="http://clinicaltrials.gov/show/NCT00005585">http://clinicaltrials.gov/show/NCT00005585</a> and <a href="http://clinicaltrials.gov/show/NCT00005596)">http://clinicaltrials.gov/show/NCT00005596</a>). Patients received either a 24-hour infusion of a 1 g/m2 dose or 4-hour infusion of a 2 g/m2 dose). Methotrexate clearance was lower in older children (p=7 x 10-7), females (p=2.7 x 10-4), and patients who received a delayed intensification phase (p=0.0022). In a genome-wide analysis, methotrexate clearance was associated with polymorphisms in the SLCO1B1 gene (p=2.1 x 10-11), which encodes for an organic anion transporter. This replicates findings using different schedules of high-dose methotrexate in ALL patients treated on St. Jude protocols. A combined meta-analysis yields a p-value of 5.7 x 10-19 for the association of methotrexate clearance with SLCO1B1 SNP rs4149056 (Trevino et al, PMID 19901119 and Ramsey et al, PMID 23233662). This data set includes the dependent variable of methotrexate clearance and all of the SNP data available from arrays.</p>
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Project description:Macrophage phenotypic and functional heterogeneity derives from tissue-specific transcriptional signatures shaped by the local microenvironment. M-CSF drives the generation of human monocyte-derived macrophages with a potent anti-inflammatory activity upon stimulation. One-carbon metabolism (OCM) is a complex network of biosynthetic pathways that includes de novo biosynthesis of purines and thymidylate, amino acid metabolism, and methylation reactions. Methotrexate (MTX) is an anti-folate drug used for Acute Lymphoblastic Leukemia treatment. We explored the molecular impact of blocking GSK3 a/b on the transcriptional effect of high-doses of MTX in M-CSF-primed human monocyte derived macrophages.
2023-10-01 | GSE185872 | GEO
Project description:To elucidate the genomics of cellular responses to cancer treatment, we analyzed the expression of over 9,600 human genes in acute lymphoblastic leukemia cells before and after in vivo treatment with methotrexate and mercaptopurine given alone or in combination. Based on changes in gene expression, we identified 124 genes that accurately discriminated among the four treatments. Discriminating genes included those involved in apoptosis, mismatch repair, cell cycle control and stress response. Only 14% of genes that changed when these medications were given as single agents also changed when they were given together. These data indicate that lymphoid leukemia cells of different molecular subtypes share common pathways of genomic response to the same treatment, that changes in gene expression are treatment-specific and that gene expression can illuminate differences in cellular response to drug combinations versus single agents.
2007-12-13 | E-GEOD-412 | biostudies-arrayexpress
Project description:Adipocyte conditioned media (ACM), stromal cell conditioned media (SCM) and unconditioned media (UCM) were added to B-cell Acute Lymphoblastic Leukemia cells (REH and RCH-AcV) either with or without methotrexate (MTX). The metabolomic profiles of the cells was determined by mass spectrometry.
2022-10-07 | ST002383 | MetabolomicsWorkbench
Project description:<p>Methotrexate plasma concentration is related to its clinical effects. To identify the genetic basis of interindividual variability in methotrexate pharmacokinetics in children with newly diagnosed acute lymphoblastic leukemia (ALL), we performed a genome-wide analysis (GWAS) of 500,568 germline single-nucleotide polymorphisms (SNPs) in 434 children with ALL who received 3,014 courses of methotrexate at 2 to 5 g/m2. SNPs were validated in an independent cohort of 206 patients. Adjusting for age, race, sex, and methotrexate regimen, the most significant associations were with SNPs in the organic anion transporter polypeptide, <i>SLCO1B1</i> (rs11045879 (P = 1.7 x 10<sup>-10</sup>) and rs4149081 (P = 1.7 x 10<sup>-9</sup>) (Trevino et al, PMID: <a href="http://www.ncbi.nlm.nih.gov/pubmed/19901119" target="_blank">19901119</a>). To test whether rare variants in <i>SLCO1B1</i> could alter its function, we genotyped <i>SLCO1B1</i> exons in a slightly larger group of 699 children with ALL who received methotrexate and identified 93 single nucleotide polymorphisms (SNPs). We found several common and rare non-synonymous (NS) SNPs associated with methotrexate clearance.</p> <p>NS SNPs predicted to be functionally damaging (common or rare) were more likely to be found among patients with the lowest adjusted methotrexate clearance (lowest 10%) than patients with high clearance (highest 10%). Four <i>SLCO1B1</i> haplotypes were associated with reduced methotrexate clearance and we verified that these haplotypes have lower function with in vitro transport assays. We were able to quantitatively account for a third of the population variability in clearance of methotrexate with clinical and genetic covariates. This data set includes the dependent variable of methotrexate clearance and all of the SNP data available from arrays, sequencing, and genotyping.</p>
| phs000426 | dbGaP
Project description:<p>Methotrexate plasma concentration is related to its clinical effects. To identify the genetic basis of interindividual variability in methotrexate pharmacokinetics in children with newly diagnosed acute lymphoblastic leukemia (ALL), we performed a genome-wide analysis (GWAS) of 500,568 germline single-nucleotide polymorphisms (SNPs) in 434 children with ALL who received 3,014 courses of methotrexate at 2 to 5 g/m2. SNPs were validated in an independent cohort of 206 patients. Adjusting for age, race, sex, and methotrexate regimen, the most significant associations were with SNPs in the organic anion transporter polypeptide, <i>SLCO1B1</i> (rs11045879 (P = 1.7 x 10<sup>-10</sup>) and rs4149081 (P = 1.7 x 10<sup>-9</sup>) (Trevino et al, PMID: <a href="http://www.ncbi.nlm.nih.gov/pubmed/19901119" target="_blank">19901119</a>). To test whether rare variants in <i>SLCO1B1</i> could alter its function, we genotyped <i>SLCO1B1</i> exons in a slightly larger group of 699 children with ALL who received methotrexate and identified 93 single nucleotide polymorphisms (SNPs). We found several common and rare non-synonymous (NS) SNPs associated with methotrexate clearance.</p> <p>NS SNPs predicted to be functionally damaging (common or rare) were more likely to be found among patients with the lowest adjusted methotrexate clearance (lowest 10%) than patients with high clearance (highest 10%). Four <i>SLCO1B1</i> haplotypes were associated with reduced methotrexate clearance and we verified that these haplotypes have lower function with in vitro transport assays. We were able to quantitatively account for a third of the population variability in clearance of methotrexate with clinical and genetic covariates. This data set includes the dependent variable of methotrexate clearance and all of the SNP data available from arrays, sequencing, and genotyping.</p>
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Project description:Cellular drug resistance is associated with an unfavorable prognosis in pediatric acute lymphoblastic leukemia (ALL). To identify genes conferring resistance to antileukemic agents, we analyzed the expression of >12,700 genes in sensitive and resistant ALL cells obtained at diagnosis from 174 patients. This revealed 42, 59, 54 and 22 genes (Pâ¤0.001) that were differentially expressed in B-lineage ALL that was sensitive versus resistant to prednisolone, vincristine, asparaginase or daunorubicin, respectively, with prediction accuracies of 71-76%. Notably, 149 of the discriminating genes have not been previously associated with resistance to these anticancer agents. These included carbohydrate-metabolism and transcription-associated genes for prednisolone, cytoskeleton and extracellular matrix genes for vincristine, ribosomal protein and translation-associated genes for asparaginase, and RAS signaling and nucleosome remodeling complex genes for daunorubicin. The identification of novel genomic determinants of cellular drug resistance provides new insights for overcoming drug resistance in acute lymphoblastic leukemia.
2008-06-15 | E-GEOD-635 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the following subset Series:; GSE11440: Role of Caveolin 1, E-Cadherin, Enolase 2 and PKCa on resistance to methotrexate in human HT29 colon cancer cells; GSE16066: Networking of differentially expressed genes in CaCo2 human colon cancer cells resistant to methotrexate; GSE16070: Networking of differentially expressed genes in human MCF7 breast cancer cells resistant to methotrexate; GSE16080: Networking of differentially expressed genes in human MDA-MB-468 breast cancer cells resistant to methotrexate; GSE16082: Networking of differentially expressed genes in human MIA PaCa2 pancreatic cancer cells resistant to methotrexate; GSE16085: Networking of differentially expressed genes in human K562 erythtoblastic leukemia cells resistant to methotrexate; GSE16089: Networking of differentially expressed genes in human Saos-2 osteosarcoma cells resistant to methotrexate Experiment Overall Design: Refer to individual Series
2009-09-11 | E-GEOD-16648 | biostudies-arrayexpress