23 research outputs found

    Association of immunophenotype with expression of topoisomerase II α and β in adult acute myeloid leukemia.

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    Anthracyclines used in the treatment of acute myelogenous leukemia (AML) inhibit the activity of the mammalian topoisomerase II (topo II) isoforms, topo II α and topo IIβ. In 230 patients with non-M3 AML who received frontline ara-C/daunorubicin we determined expression of topo IIα and topo IIβ by RT-PCR and its relationship to immunophenotype (IP) and outcomes. Treatment outcomes were analyzed by logistic or Cox regression. In 211 patients, available for analysis, topo IIα expression was significantly lower than topo IIβ (P \u3c 0.0001). In contrast to topo IIα, topo IIβ was significantly associated with blast percentage in marrow or blood (P = 0.0001), CD7 (P = 0.01), CD14 (P \u3c 0.0001) and CD54 (P \u3c 0.0001). Event free survival was worse for CD56-negative compared to CD56-high (HR = 1.9, 95% CI [1.0-3.5], p = 0.04), and overall survival was worse for CD-15 low as compared to CD15-high (HR = 2.2, 95% CI [1.1-4.2], p = 0.02). Ingenuity pathway analysis indicated topo IIβ and immunophenotype markers in a network associated with cell-to-cell signaling, hematological system development/function and inflammatory response. Topo IIβ expression reflects disease biology of highly proliferative disease and distinct IP but does not appear to be an independent variable influencing outcome in adult AML patients treated with anthracycline-based therapy

    AML risk stratification models utilizing ELN-2017 guidelines and additional prognostic factors: a SWOG report.

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    Background: The recently updated European LeukemiaNet risk stratification guidelines combine cytogenetic abnormalities and genetic mutations to provide the means to triage patients with acute myeloid leukemia for optimal therapies. Despite the identification of many prognostic factors, relatively few have made their way into clinical practice. Methods: In order to assess and improve the performance of the European LeukemiaNet guidelines, we developed novel prognostic models using the biomarkers from the guidelines, age, performance status and select transcript biomarkers. The models were developed separately for mononuclear cells and viable leukemic blasts from previously untreated acute myeloid leukemia patients (discovery cohort, Results: Models using European LeukemiaNet guidelines were significantly associated with clinical outcomes and, therefore, utilized as a baseline for comparisons. Models incorporating age and expression of select transcripts with biomarkers from European LeukemiaNet guidelines demonstrated higher area under the curve and C-statistics but did not show a substantial improvement in performance in the validation cohort. Subset analyses demonstrated that models using only the European LeukemiaNet guidelines were a better fit for younger patients (age \u3c 55) than for older patients. Models integrating age and European LeukemiaNet guidelines visually showed more separation between risk groups in older patients. Models excluding results for Conclusions: While European LeukemiaNet guidelines remain a critical tool for triaging patients with acute myeloid leukemia, the findings illustrate the need for additional prognostic factors, including age, to improve risk stratification

    CuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data

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    Error-bounded lossy compression is a state-of-the-art data reduction technique for HPC applications because it not only significantly reduces storage overhead but also can retain high fidelityfor postanalysis. Because supercomputers and HPC applicationsare becoming heterogeneous using accelerator-based architectures,in particular GPUs, several development teams have recently released GPU versions of their lossy compressors. However, existingstate-of-the-art GPU-based lossy compressors suffer from eitherlow compression and decompression throughput or low compression quality. In this paper, we present an optimized GPU version,cuSZ, for one of the best error-bounded lossy compressors-SZ.To the best of our knowledge, cuSZ is the first error-boundedlossy compressor on GPUs for scientific data. Our contributions arefourfold. (1) We propose a dual-qantization scheme to entirelyremove the data dependency in the prediction step of SZ such thatthis step can be performed very efficiently on GPUs. (2) We developan efficient customized Huffman coding for the SZ compressor onGPUs. (3) We implement cuSZ using CUDA and optimize its performance by improving the utilization of GPU memory bandwidth. (4)We evaluate our cuSZ on five real-world HPC application datasetsfrom the Scientific Data Reduction Benchmarks and compare it withother state-of-the-art methods on both CPUs and GPUs. Experiments show that our cuSZ improves SZ\u27s compression throughputby up to 370.1Ă— and 13.1Ă—, respectively, over the production version running on single and multiple CPU cores, respectively, whilegetting the same quality of reconstructed data. It also improves thecompression ratio by up to 3.48Ă— on the tested data compared withanother state-of-the-art GPU supported lossy compressor

    Ohio History Fall 2017

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    https://kent-islandora.s3.us-east-2.amazonaws.com/node/10123/OH-v124n2-thumb.jpgOHIO HISTORY Contents for Volume 124,&nbsp;Number 2, Fall 2017 Contributors ...... 4 &nbsp; Ladies of Lockbourne: Women Airforce Service Pilots and the Mighty B-17 Flying Fortress Jenny Sage ...... 5 Pathmakers: James and Mary Jane McCleery Lawrence S. Freund ...... 28 From the Parish Hall to the Union Hall: Catholic Labor Education in Cleveland Paul Lubienecki ...... 49 &nbsp; Book Reviews ...... 85 Cover image courtesy of the National Archives.</p
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