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      The circulating form of neprilysin is not a general biomarker for overall survival in treatment-naïve cancer patients

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          Abstract

          The transmembrane zink-metalloendopeptidase neprilysin (NEP) is implicated in cardiovascular disease but also tumor biology. The aim of the study was to investigate the relationship of circulating NEP (cNEP) levels with established cardiovascular biomarkers and its effect on overall survival in an unselected cohort of treatment-naïve cancer patients. 555 consecutive cancer patients prior anticancer therapy were enrolled prospectively. NEP levels were determined alongside routine laboratory parameters, established cardiac biomarkers, i.e. NT-proBNP, hsTnT, MR-proANP, MR-proADM, CT-proET-1 and Copeptin, and inflammatory parameters, i.e. CRP, IL-6 and SAA, in venous plasma samples. All-cause mortality was the primary endpoint. cNEP levels of 276 pg/ml (IQR: 0–5981) displayed a weak inverse correlation with age [r = −0.12, p = 0.023] and inflammatory status [r = −0.14, p = 0.007 CRP; r = −0.20, p < 0.001 IL-6 and r = −0.18, p < 0.001 SAA]. cNEP was comparable between different tumor entities and stages and not related to functional parameters of other organ systems as kidney, liver or especially the heart. Moreover, cNEP was not associated with overall survival in the total cohort [adj.HR for ln (cNEP) 1.00, 95% CI: 0.94–1.06, p = 0.887] but in myelodysplatic malignancies [adj.HR for ln (cNEP) 1.27, 95% CI: 1.01–1.61, p = 0.044]. In conclusion, cNEP lacks association with outcome but for myelodysplastic disease. cNEP shows no correlation with established cardiovascular biomarkers related to prognosis, thereby holding a limited potential as a biomarker in cardio-oncology.

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          Most cited references36

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          Flow cytometric immunophenotyping for hematologic neoplasms.

          Flow cytometric immunophenotyping remains an indispensable tool for the diagnosis, classification, staging, and monitoring of hematologic neoplasms. The last 10 years have seen advances in flow cytometry instrumentation and availability of an expanded range of antibodies and fluorochromes that have improved our ability to identify different normal cell populations and recognize phenotypic aberrancies, even when present in a small proportion of the cells analyzed. Phenotypically abnormal populations have been documented in many hematologic neoplasms, including lymphoma, chronic lymphoid leukemias, plasma cell neoplasms, acute leukemia, paroxysmal nocturnal hemoglobinuria, mast cell disease, myelodysplastic syndromes, and myeloproliferative disorders. The past decade has also seen refinement of the criteria used to identify distinct disease entities with widespread adoption of the 2001 World Health Organization (WHO) classification. This classification endorses a multiparametric approach to diagnosis and outlines the morphologic, immunophenotypic, and genotypic features characteristic of each disease entity. When should flow cytometric immunophenotyping be applied? The recent Bethesda International Consensus Conference on flow cytometric immunophenotypic analysis of hematolymphoid neoplasms made recommendations on the medical indications for flow cytometric testing. This review discusses how flow cytometric testing is currently applied in these clinical situations and how the information obtained can be used to direct other testing.
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            Cardiovascular biomarkers in patients with cancer and their association with all-cause mortality.

            Patients with cancer may display elevated levels of B-type natriuretic peptide (BNP) and high-sensitive troponin T (hsTnT) without clinical manifestation of cardiac disease. This study aimed to evaluate circulating cardiovascular hormones and hsTnT and their association with mortality in cancer.
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              A Test in Context: Neprilysin: Function, Inhibition, and Biomarker.

              Neprilysin is a zinc-dependent endopeptidase. It is ubiquitous in distribution and promiscuous in function, with >50 putative peptide substrates with varying levels of in vitro and/or in vivo evidence of functional relevance. In the first part of this review, we discuss the genetic, structural, substrate, and pathophysiological aspects of neprilysin. We incorporate information provided by genetically modified models, as well as pre-clinical and clinical data from investigations of synthetic neprilysin inhibitors. We next highlight the value of neprilysin as a biotarget and weigh the clinical benefits of synthetic neprilysin inhibitors, either alone or in combination with antagonists of the renin-angiotensin system. Finally, we provide evidence about soluble neprilysin as a biomarker surrogate in patients with heart failure and identify important gaps that require further research before soluble neprilysin is used clinically. In sum, neprilysin is a versatile, veteran player returning yet again to center stage after an eventful career spanning >40 years.
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                Author and article information

                Contributors
                martin.huelsmann@meduniwien.ac.at
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                22 February 2019
                22 February 2019
                2019
                : 9
                : 2554
                Affiliations
                [1 ]ISNI 0000 0000 9259 8492, GRID grid.22937.3d, Department of Internal Medicine II, Clinical Division of Cardiology, , Medical University of Vienna, ; Vienna, Austria
                [2 ]ISNI 0000 0000 9259 8492, GRID grid.22937.3d, Department of Internal Medicine I, Clinical Division of Oncology, , Medical University of Vienna, ; Vienna, Austria
                [3 ]Complexity Research, Vienna, Austria
                [4 ]FH Campus Vienna, Vienna, Austria
                [5 ]ISNI 0000 0001 0416 9637, GRID grid.5675.1, Technical University Dortmund, ; Dortmund, Germany
                Author information
                http://orcid.org/0000-0003-3027-7775
                http://orcid.org/0000-0002-3248-5802
                Article
                38867
                10.1038/s41598-019-38867-2
                6385211
                30796257
                09e200ea-1223-4122-acdc-69665cf0c09b
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 8 May 2018
                : 7 January 2019
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