Project description:Acute myeloid leukemia (AML) is a clonal hematopoietic malignancy, characterized by expansion of immature leukemic blasts in the bone marrow. In AML, specific tyrosine kinases have been implicated in leukemogenesis, and are associated with poor treatment outcome. However, targeted therapy using kinase inhibitors (KIs) has had limited success, and may be improved by proper patient selection. We performed phosphotyrosine (pY) based, label-free phosphoproteomics to identify hyperphosphorylated, active kinases in two FLT3+ AML Pt samples.
Project description:Acute myeloid leukemia (AML) is a clonal hematopoietic malignancy, characterized by expansion of immature leukemic blasts in the bone marrow. In AML, specific tyrosine kinases have been implicated in leukemogenesis, and are associated with poor treatment outcome. However, targeted therapy using kinase inhibitors (KIs) has had limited success, and may be improved by proper patient selection. We performed phosphotyrosine (pY) based, label-free phosphoproteomics to identify hyperphosphorylated, active kinases in two FLT3+ AML Pt samples and this data is deposited in PXD015639 . Here are the corresponding lysate samples
Project description:Experiments using xenografts show that some solid tumours and leukemias are organized as cellular hierarchies sustained by cancer stem cells (CSC). Despite promise, the relevance of the CSC model to human disease remains uncertain. Here we show that acute myeloid leukemia (AML) follows a CSC model based on sorting multiple populations from each of 16 primary human AML samples and identifying which contain leukemia stem cells (LSC) using a sensitive xenograft assay. Analysis of gene expression from all functionally validated populations yielded an LSC-specific signature. Similarly, a hematopoietic stem cell (HSC) gene signature was established. Bioinformatic analysis identified a core transcriptional program shared by LSC and HSC, revealing the molecular machinery underlying stemness properties. Both stem cell programs were highly significant independent predictors of patient survival and also found in existing prognostic signatures. Thus, determinants of stemness influence clinical outcome of AML establishing that LSC are clinically relevant and not mere artifacts of xenotransplantation. Analysis of gene expression in FACS sorted AML fractions that were functionally determined to be enriched for LSC or not (25 and 29 respectively).
Project description:Experiments using xenografts show that some solid tumours and leukemias are organized as cellular hierarchies sustained by cancer stem cells (CSC). Despite promise, the relevance of the CSC model to human disease remains uncertain. Here we show that acute myeloid leukemia (AML) follows a CSC model based on sorting multiple populations from each of 16 primary human AML samples and identifying which contain leukemia stem cells (LSC) using a sensitive xenograft assay. Analysis of gene expression from all functionally validated populations yielded an LSC-specific signature. Similarly, a hematopoietic stem cell (HSC) gene signature was established. Bioinformatic analysis identified a core transcriptional program shared by LSC and HSC, revealing the molecular machinery underlying stemness properties. Both stem cell programs were highly significant independent predictors of patient survival and also found in existing prognostic signatures. Thus, determinants of stemness influence clinical outcome of AML establishing that LSC are clinically relevant and not mere artifacts of xenotransplantation.
Project description:Here we used Illumina NGS for high-throughput profiling of the DNA methylome(ERRBS) and hydroxymethylome(hMe-Seal) of primary tumor samples with Acute Myeloid Leukemia(AML). The data can be used to compare hydroxymethylation and methylation patterns from different AML subtypes and normal bone marrow samples.
Project description:Acute myeloid leukemia (AML) is the most common and severe acute leukemia diagnosed in adults. Although it is one of the most studied cancers, this is the first study of Polish population of AML patients. The data were collected with the use of home-made boutique array. The additional advantage is pre-selection of patients - our sample set includes only two AML FAB subtypes with the highest content of immature myeloid cells: M1 (11 samples) and M2 (22 samples). From the majority of patients two sources of material were used for mononuclear cell separation and RNA extraction: bone marrow and peripheral blood. 15 samples from healthy volunteers were used as a control.
Project description:Here we used Illumina NGS for high-throughput profiling of the DNA methylome(ERRBS) and hydroxymethylome(hMe-Seal) of primary tumor samples with Acute Myeloid Leukemia(AML). The data can be used to compare hydroxymethylation and methylation patterns from different AML subtypes and normal bone marrow samples. We have sequenced 4 subtypes of AML with hydroxymethylation decrease and 1 subtype with no decrease. We have sequenced 2-5 primary tumor samples for each subtype, and comprated the epigenomic profiles ( ERRBS and hMe-Seal ) of hydroxymethylation deficient subtypes to the control subtype and normal bone marrow samples.
Project description:Label-free quantitation dataset from 44 representative Acute Myeloid Leukemia (AML) patients from the LAML TCGA dataset, and 6 healthy bone marrow derived controls including 3 lineage-depleted and 3 CD34+ selected bone marrows.