Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0023418 (leukemia)
 93,477 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Therapy of acute myelogenous leukemia (AML) with sequential high-dose ara-C and asparaginase (HiDAC----ASNase) on a day 1 and 8 schedule was designed to exploit potential recruitment of residual leukemia cells following initial cytoreduction from day 1 treatment. DNA flow cytometry was used to evaluate the proliferative index (%S + G2M) of bone marrow leukemia cells from pretreatment and day 8 marrow samples. The proliferative index on day 1, day 8, and incremental change (day 8 minus day 1) were analyzed for their correlation with bone marrow aplasia on day 15 and with the attainment of subsequent complete remission. Pretreatment (day 1) and the change in proliferative index did not correlate (p greater than 0.10) with day 15 marrow aplasia or with clinical outcome. However, the magnitude of the day 8 proliferative index did relate to the attainment of bone marrow aplasia on day 15 (p = 0.05) and the attainment of complete remission (p = 0.002). Recruitment of residual leukemia cells into the proliferative phases of the cell cycle may contribute to the unique efficacy of the day 1 and 8 schedule of HIDAC----ASNase. Additionally, the cytokinetics of residual leukemia after initial chemotherapy may be predictive of outcome and could be useful as a marker for the design of optimal therapeutic regimens.
Leukemia 1990 May
PMID:Correlation of the proliferative index of residual leukemia with outcome in patients treated with sequential high dose ara-C and asparaginase. 238 77

Exposure to hemopoietic growth factors (HGFs) induces proliferation of clonogenic acute myeloid leukemia (AML) cells. Recruitment of quiescent, clonogenic blasts may improve the cytotoxic effects of cell-cycle-specific drugs like cytosine arabinoside (Ara-C). Because other studies have shown heterogeneous effects of HGF and Ara-C incubation, we analyzed the individual effects of granulocyte colony-stimulating factor (G-CSF), interleukin 3 (IL-3), and granulocyte-macrophage colony-stimulating factor (GM-CSF) combined with an S-phase and non-phase specific cytostatic agent on clonogenic blasts of 14 newly diagnosed AML patients under standardized, serum-free conditions. AML cells were incubated for 24 hours with titrated concentrations of Ara-C (0.01, 0.1, 1 microM) or mafosfamide (0, 1.0, 10, or 20 micrograms/ml) following preincubation for 48 hours with or without G-CSF, IL-3, or GM-CSF, starting at 24 hours prior to chemotherapy exposure. AML colony-forming cells (AML-CFU) were then determined in semi-solid culture in the presence of the same growth factor. The results showed significantly enhanced cytotoxicity of Ara-C to AML-CFU following stimulation by G-CSF (p < 0.002 at 0.01 microM, p < 0.002 at 0.1 microM, and p < 0.01 at 1 microM Ara-C), IL-3 (p < 0.002 at 0.01 microM, p = 0.001 at 0.1 microM, p < 0.01 at 1 microM, Ara-C), and GM-CSF (p = 0.01 at 0.01 microM, p < 0.01 at 0.1 microM, and p < 0.002 at 1 microM Ara-C). A moderate but significant enhancement of mafosfamide cytotoxicity by HGF was also observed (p < 0.05 at 1.0 microgram/ml mafosfamide by IL-3 and GM-CSF and p < 0.05 at 10 micrograms/ml mafosfamide by GM-CSF). Ara-C cytotoxicity to normal bone marrow progenitors was enhanced significantly only by G-CSF (p = 0.02 at 0.01 microM, p = 0.01 at 0.1 microM and p < 0.01 at 1 microM Ara-C), and by GM-CSF at 0.1 microM Ara-C (p = 0.045). However, the effect of HGF stimulation as studied by bromodeoxyuridine (BrdU) incorporation during the first or second 24 hours of HGF stimulation did not explain the difference between poor and good HGF enhanced Ara-C cytotoxicity, indicating that other cellular changes than cell-cycle activation as the consequence of growth factor stimulation are responsible for enhanced cytotoxicity. Our findings indicate that combining HGFs, and especially IL-3, with chemotherapy may be useful in the AML treatment.
Leukemia 1993 Aug
PMID:Enhanced chemosensitivity of clonogenic blasts from patients with acute myeloid leukemia by G-CSF, IL-3 or GM-CSF stimulation. 768 39

The CD28 cell surface receptor provides an important costimulatory signal for T cells necessary for their response to Ag. Early events in CD28 signaling include recruitment and activation of phosphatidylinositol 3-kinase (PI3-kinase) and activation of the protein tyrosine kinases (PTKs), LCK and EMT. Recruitment and activation of PI3-kinase is known to be dependent upon phosphorylation of tyrosine 173 of the CD28 cytoplasmic tail contained within a YMNM motif. By contrast, little is known of which residues of the CD28 tail, including tyrosines, are required for the activation of PTKs. To address this we studied the ability of truncation mutants and tyrosine to phenylalanine substitution mutants of the CD28 cytoplasmic tail to activate LCK and EMT in Jurkat T leukemia cells. Our results indicate that 1) activation of EMT is partially dependent upon tyrosine 173 of the CD28 tail, although it does not require PI3-kinase activation; 2) activation of LCK is independent of CD28 cytoplasmic tail tyrosine residues; and 3) elements sufficient for the activation of both kinases are contained within the first half of the tail. In addition we studied the CD28 tail as a substrate for both PTKs in in vitro kinase assays. We demonstrate that EMT can phosphorylate all four tyrosines of the CD28 tail, in contrast to LCK, which phosphorylates only tyrosine 173. Together with evidence that in vivo, tyrosines other than tyrosine 173 become phosphorylated following CD28 stimulation, this finding suggests that, like LCK, one function of EMT during CD28 signaling is phosphorylation of the receptor.
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PMID:Analysis of CD28 cytoplasmic tail tyrosine residues as regulators and substrates for the protein tyrosine kinases, EMT and LCK. 899 71

Recruitment and extravasation of T cells through the blood-brain barrier are favored by adhesion molecule-mediated interactions of circulating T cells with endothelial cells. Since a common pathological finding in human T-cell leukemia virus type 1 (HTLV-1)-associated diseases is the infiltration of HTLV-1-infected T lymphocytes into various organs, we have looked for the profile of adhesion molecules expressed by HTLV-1-transformed T cells. Flow cytometry analysis indicated that these cells were expressing high levels of vascular cell adhesion molecule 1 (VCAM-1 [CD106]), a 110-kDa member of the immunoglobulin gene superfamily, first identified on endothelial cells stimulated with inflammatory cytokines. This adhesion molecule was also expressed by T cells obtained from one patient with HTLV-1-associated myelopathy/tropical spastic paraparesis but not by activated T cells isolated from one normal blood donor. The role of the viral trans-activator Tax protein in the induction of VCAM-1 was first indicated by the detection of this adhesion molecule on Jurkat T-cell clones stably expressing the tax gene. The effect of Tax on VCAM-1 gene transcription was next confirmed in JPX-9 cells, a subclone of Jurkat cells, carrying the tax sequences under the control of an inducible promoter. Furthermore, deletion and mutation analyses of the VCAM-1 promoter performed with chloramphenicol acetyltransferase constructs revealed that Tax was trans activating the VCAM-1 promoter via two NF-kappaB sites present at bp -72 and -57 in the VCAM-1 gene promoter, with both of them being required for the Tax-induced expression of this adhesion molecule. Finally, gel mobility shift assays demonstrated the nuclear translocation of proteins specifically bound to these two NF-kappaB motifs, confirming that VCAM-1 was induced on Tax-expressing cells in a kappaB-dependent manner. Collectively, these results therefore suggest that the exclusive Tax-induced expression of VCAM-1 on T cells may represent a pivotal event in the progression of HTLV-1-associated diseases.
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PMID:Transcriptional activation of the vascular cell adhesion molecule-1 gene in T lymphocytes expressing human T-cell leukemia virus type 1 Tax protein. 934 10

Promyelocytic leukaemia nuclear bodies (PML NBs) are structured protein complexes associated with the nuclear matrix. PML constitutes the scaffold component of NBs and recruits onto these domains a striking variety of proteins, many of which are involved in apoptosis control. Several reports have directly implicated PML in apoptosis and senescence, but the mechanisms by which these are conveyed are still largely unsettled. Recruitment of partner proteins onto NBs is regulated by PML sumolation, a specific post-translational modification also found in many NB-associated proteins. Among these, several are implicated in transcription repression or activation, like the transcriptional repressor Daxx or the transcriptional activator P53. Whether NBs constitute platforms where active sites of enzymatic modifications are carried out, as suggested for P53, sites of intranuclear protein sequestration, as proposed for Daxx or organelles specialized in catabolism, is still debated. A variety of stress-related signalling pathways dramatically modulate the formation of PML NBs, which may provide a clue as to their physiological function.
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PMID:PML nuclear bodies and apoptosis. 1507 45

The first part of this paper introduced various definitions of response and discussed their significance in the context of different study types. This second part addresses incentives as a method to increase response and evaluates the impact of non response or delayed response on the validity of the study results. Recruitment aims at minimising the proportion of refusal. To achieve this, incentives can be used and potential participants can be contacted in a sequence of increasing intensity. The effectiveness of different incentives was investigated within the pretest of the German survey on children and adolescents by the Robert Koch Institute. A low response is often interpreted in terms of non-response bias. This assumption, however, is as incorrect as would be opposite conclusion, that a high response guarantees valid results. Any study of the influence of nonresponse requires information on non-responders. The comparison between early and late responders as an indirect method to evaluate systematic differences between participants and non-participants by wave analysis is demonstrated within the Northern Germany Leukaemia and Lymphoma study (NLL). The German guidelines for Good Epidemiologic Practice recommend to solicit a minimum of information on the principal hypotheses of a study from non-participants. The example of a population-based health survey (Cooperative Health Research in the Region of Augsburg, KORA) illustrates how information on non-responders within a quantitative non-responder analysis can be achieved and used for the estimation of prevalences. Recommendations how to deal with the response in epidemiological studies in Germany are suggested.
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PMID:[The problem of response in epidemiologic studies in Germany (Part II)]. 1537 48

Acute graft-versus-host disease (GVHD) and leukemic relapse are serious complications of allogeneic stem-cell transplantation (SCT). Recruitment of activated T cells to host target tissues or sites of leukemic infiltration (graft-versus-leukemia [GVL]) is likely mediated by chemokine receptor-ligand interactions. We examined the contribution of donor cell CCR1 expression to the development of GVHD and GVL using a well-established murine SCT model (B6 --> B6D2F1) and CCR1-deficient mice (CCR1(-/-)). Allo-SCT with CCR1(-/-) donor cells significantly reduced systemic and target organ GVHD severity, and CCR1 expression on both T cells and accessory cells contributed to GVHD mortality. Significant GVL activity was preserved following CCR1(-/-) SCT, but the survival advantage diminished with increasing tumor burden. We then explored the effects of CCR1 expression on allo-specific T-cell responses. Although cytolytic effector function was maintained on a per-cell basis, T-cell proliferation and IFNgamma secretion were significantly reduced both in vivo and in vitro. T-cell function was partially dependent on interactions between CCR1 and CCL5. Collectively, these data demonstrate that CCR1 expression on donor cells contributes to the development of both GVHD and GVL, and suggest that CCR1/CCL5 receptor-ligand interactions modulate allo-specific T-cell responses occurring in this context.
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PMID:CCR1/CCL5 (RANTES) receptor-ligand interactions modulate allogeneic T-cell responses and graft-versus-host disease following stem-cell transplantation. 1764 Dec 5

Despite children with acute lymphoblastic leukaemia missing a significant amount of school, little empirical literature guides the optimal content, setting and timing of a school reintegration programme. We examined the feasibility of a 4-month school reintegration intervention by: (1) developing collaboration with a community-based advocacy organisation; (2) developing intervention modules and observable end points; and (3) determining how the study achieved recruitment expectations. Eight families with children aged 6-12 years diagnosed with acute lymphoblastic leukaemia and parents were enrolled in the study. An experienced advocate implemented a series of eight modules over a 4-month period (twice per month) with the families. Participants completed pre-post measures. Successful collaboration with the advocacy organisation and the development of an intervention module series were achieved. Recruitment aims proved more difficult: enrolment was extended when recruitment for the original 1- to 6-month post-diagnosis window proved difficult. The advocate was able to complete between three and seven of the modules (mean = 5.2, standard deviation = 1.5). Families preferred clinic-based intervention. Challenges faced and lessons learned include: (1) advocacy organisations may be useful resources for school reintegration interventions; (2) school reintegration interventions must be flexibly applied; and (3) measurement end points constructed to gauge programme effectiveness.
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PMID:Feasibility of a school reintegration programme for children with acute lymphoblastic leukaemia. 1959 12

Recruitment of transcriptional and epigenetic factors to their targets is a key step in their regulation. Prominently featured in recruitment are the protein domains that bind to specific histone modifications. One such domain is the plant homeodomain (PHD), found in several chromatin-binding proteins. The epigenetic factor RBP2 has multiple PHD domains, however, they have different functions (Figure 4). In particular, the C-terminal PHD domain, found in a RBP2 oncogenic fusion in human leukemia, binds to trimethylated lysine 4 in histone H3 (H3K4me3). The transcript corresponding to the RBP2 isoform containing the C-terminal PHD accumulates during differentiation of promonocytic, lymphoma-derived, U937 cells into monocytes. Consistent with both sets of data, genome-wide analysis showed that in differentiated U937 cells, the RBP2 protein gets localized to genomic regions highly enriched for H3K4me3. Localization of RBP2 to its targets correlates with a decrease in H3K4me3 due to RBP2 histone demethylase activity and a decrease in transcriptional activity. In contrast, two other PHDs of RBP2 are unable to bind H3K4me3. Notably, the C-terminal domain PHD of RBP2 is absent in the smaller RBP2 isoform. It is conceivable that the small isoform of RBP2, which lacks interaction with H3K4me3, differs from the larger isoform in genomic location. The difference in genomic location of RBP2 isoforms may account for the observed diversity in RBP2 function. Specifically, RBP2 is a critical player in cellular differentiation mediated by the retinoblastoma protein (pRB). Consistent with these data, previous genome-wide analysis, without distinction between isoforms, identified two distinct groups of RBP2 target genes: 1) genes bound by RBP2 in a manner that is independent of differentiation; 2) genes bound by RBP2 in a differentiation-dependent manner. To identify differences in localization between the isoforms we performed genome-wide location analysis by ChIP-Seq. Using antibodies that detect both RBP2 isoforms we have located all RBP2 targets. Additionally we have antibodies that only bind large, and not small RBP2 isoform (Figure 4). After identifying the large isoform targets, one can then subtract them from all RBP2 targets to reveal the targets of small isoform. These data show the contribution of chromatin-interacting domain in protein recruitment to its binding sites in the genome.
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PMID:Genome-wide analysis using ChIP to identify isoform-specific gene targets. 2064 11

Specific interactions of transcription factors (TFs) with their targets are crucial for specifying gene expression programs during cell differentiation. How specificity is maintained despite limited selectivity of individual TF-DNA interactions is not fully understood. RUNX1 TF is among the most frequently mutated genes in human leukemia and an important regulator of megakaryopoiesis. We used megakaryocytic cell lines to characterize the network of RUNX1 targets and cooperating TFs in differentiating megakaryocytes and demonstrated how dynamic partnerships between RUNX1 and cooperating TFs facilitated regulatory plasticity and specificity during this process. After differentiation onset, RUNX1 directly activated a large number of genes through interaction with preexisting and de novo binding sites. Recruitment of RUNX1 to de novo occupied sites occurred at H3K4me1-marked preprogrammed enhancers. A significant number of these de novo bound sites lacked RUNX motif but were occupied by AP-1 TFs. Reciprocally, AP-1 TFs were up-regulated by RUNX1 after 12-O-tetradecanoylphorbol-13-acetate induction and recruited to RUNX1-occupied sites lacking AP-1 motifs. At other differentiation stages, additional combinatorial interactions occurred between RUNX1 and its coregulators, GATA1 and ETS. The findings suggest that in differentiating megakaryocytic cell lines, RUNX1 cooperates with GATA1, AP-1, and ETS to orchestrate cell-specific transcription programs through dynamic TF partnerships.
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PMID:Dynamic combinatorial interactions of RUNX1 and cooperating partners regulates megakaryocytic differentiation in cell line models. 2095 2


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