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      High GPR56 surface expression correlates with a leukemic stem cell gene signature in CD34‐positive AML

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          Abstract

          Acute myeloid leukemia (AML) is driven by a minor fraction of leukemic stem cells (LSCs) whose persistence is considered being the primary cause of disease relapse. A detailed characterization of the surface immunophenotype of LSCs to discriminate them from bulk leukemic blasts may enable successful targeting of this population thereby improving patient outcomes in AML. To identify surface markers, which may reflect LSC activity at diagnosis, we performed a detailed analysis of 16 putative LSC markers in CD34/38 leukemic subcompartments of 150 diagnostic AML samples using multicolor flow cytometry. The most promising markers were then selected to determine a possible correlation of their expression with a recently published LSC gene signature. We found GPR56 and CLL‐1 to be the most prominently differently expressed surface markers in AML subcompartments. While GPR56 was highest expressed within the LSC‐enriched CD34 +38 subcompartment as compared to CD34 +38 + and CD34 leukemic bulk cells, CLL‐1 expression was lowest in CD34 +38 leukemic cells and increased in CD34 +38 + and CD34 blasts. Furthermore, high GPR56 surface expression in CD34 +38 leukemic cells correlated with a recently published LSC gene expression signature and was associated with decreased overall survival in patients receiving intensive chemotherapy. In contrast, CLL‐1 expression correlated inversely with the LSC gene signature and was not informative on outcome. Our data strongly support GPR56 as a promising clinically relevant marker for identifying leukemic cells with LSC activity at diagnosis in CD34‐positive AML.

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          Evolution of the cancer stem cell model.

          Genetic analyses have shaped much of our understanding of cancer. However, it is becoming increasingly clear that cancer cells display features of normal tissue organization, where cancer stem cells (CSCs) can drive tumor growth. Although often considered as mutually exclusive models to describe tumor heterogeneity, we propose that the genetic and CSC models of cancer can be harmonized by considering the role of genetic diversity and nongenetic influences in contributing to tumor heterogeneity. We offer an approach to integrating CSCs and cancer genetic data that will guide the field in interpreting past observations and designing future studies. Copyright © 2014 Elsevier Inc. All rights reserved.
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            Integrating Proteomics and Transcriptomics for Systematic Combinatorial Chimeric Antigen Receptor Therapy of AML

            Chimeric antigen receptor (CAR) therapy targeting CD19 has yielded remarkable outcomes in patients with acute lymphoblastic leukemia. To identify potential CAR targets in acute myeloid leukemia (AML), we probed the AML surfaceome for over-expressed molecules with tolerable systemic expression. We integrated large transcriptomics and proteomics data sets from malignant and normal tissues, and developed an algorithm to identify potential targets expressed in leukemia stem cells, but not in normal CD34 + CD38 − hematopoietic cells, T cells or vital tissues. As these investigations did not uncover candidate targets with a profile as favorable as CD19, we developed a generalizable combinatorial targeting strategy fulfilling stringent efficacy and safety criteria. Our findings indicate that several target pairings hold great promise for CAR therapy of AML.
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              Association of a leukemic stem cell gene expression signature with clinical outcomes in acute myeloid leukemia.

              In many cancers, specific subpopulations of cells appear to be uniquely capable of initiating and maintaining tumors. The strongest support for this cancer stem cell model comes from transplantation assays in immunodeficient mice, which indicate that human acute myeloid leukemia (AML) is driven by self-renewing leukemic stem cells (LSCs). This model has significant implications for the development of novel therapies, but its clinical relevance has yet to be determined. To identify an LSC gene expression signature and test its association with clinical outcomes in AML. Retrospective study of global gene expression (microarray) profiles of LSC-enriched subpopulations from primary AML and normal patient samples, which were obtained at a US medical center between April 2005 and July 2007, and validation data sets of global transcriptional profiles of AML tumors from 4 independent cohorts (n = 1047). Identification of genes discriminating LSC-enriched populations from other subpopulations in AML tumors; and association of LSC-specific genes with overall, event-free, and relapse-free survival and with therapeutic response. Expression levels of 52 genes distinguished LSC-enriched populations from other subpopulations in cell-sorted AML samples. An LSC score summarizing expression of these genes in bulk primary AML tumor samples was associated with clinical outcomes in the 4 independent patient cohorts. High LSC scores were associated with worse overall, event-free, and relapse-free survival among patients with either normal karyotypes or chromosomal abnormalities. For the largest cohort of patients with normal karyotypes (n = 163), the LSC score was significantly associated with overall survival as a continuous variable (hazard ratio [HR], 1.15; 95% confidence interval [CI], 1.08-1.22; log-likelihood P <.001). The absolute risk of death by 3 years was 57% (95% CI, 43%-67%) for the low LSC score group compared with 78% (95% CI, 66%-86%) for the high LSC score group (HR, 1.9 [95% CI, 1.3-2.7]; log-rank P = .002). In another cohort with available data on event-free survival for 70 patients with normal karyotypes, the risk of an event by 3 years was 48% (95% CI, 27%-63%) in the low LSC score group vs 81% (95% CI, 60%-91%) in the high LSC score group (HR, 2.4 [95% CI, 1.3-4.5]; log-rank P = .006). In multivariate Cox regression including age, mutations in FLT3 and NPM1, and cytogenetic abnormalities, the HRs for LSC score in the 3 cohorts with data on all variables were 1.07 (95% CI, 1.01-1.13; P = .02), 1.10 (95% CI, 1.03-1.17; P = .005), and 1.17 (95% CI, 1.05-1.30; P = .005). High expression of an LSC gene signature is independently associated with adverse outcomes in patients with AML.
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                Author and article information

                Contributors
                albert.woelfler@medunigraz.at
                Journal
                Cancer Med
                Cancer Med
                10.1002/(ISSN)2045-7634
                CAM4
                Cancer Medicine
                John Wiley and Sons Inc. (Hoboken )
                2045-7634
                07 March 2019
                April 2019
                : 8
                : 4 ( doiID: 10.1002/cam4.2019.8.issue-4 )
                : 1771-1778
                Affiliations
                [ 1 ] Division of Hematology Medical University of Graz Graz Austria
                [ 2 ] CBmed Center of Biomarker Research in Medicine Graz Austria
                [ 3 ] Institute of Medical Informatics, Statistics and Documentation Medical University of Graz Graz Austria
                [ 4 ] Division of Endocrinology and Diabetology Medical University of Graz Graz Austria
                Author notes
                [*] [* ] Correspondence

                Albert Wölfler, Division of Hematology, Medical University of Graz, Graz, Austria.

                Email: albert.woelfler@ 123456medunigraz.at

                Author information
                https://orcid.org/0000-0002-3112-9857
                Article
                CAM42053
                10.1002/cam4.2053
                6488118
                30848055
                5fce9126-56d8-46b7-87cd-a6663b1ffe12
                © 2019 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 15 November 2018
                : 24 January 2019
                : 04 February 2019
                Page count
                Figures: 3, Tables: 0, Pages: 8, Words: 4922
                Funding
                Funded by: Österreichische Forschungsförderungsgesellschaft
                Award ID: CBmed
                Funded by: Oesterreichische Nationalbank
                Award ID: 15689
                Categories
                Original Research
                Cancer Biology
                Original Research
                Custom metadata
                2.0
                cam42053
                April 2019
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.6.2.1 mode:remove_FC converted:15.05.2019

                Oncology & Radiotherapy
                acute myeloid leukemia,cll‐1,gene expression signature,gpr56,leukemic stem cells

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