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


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
22 02 2019
Historique:
received: 08 05 2018
accepted: 07 01 2019
entrez: 24 2 2019
pubmed: 24 2 2019
medline: 20 9 2020
Statut: epublish

Résumé

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.

Identifiants

pubmed: 30796257
doi: 10.1038/s41598-019-38867-2
pii: 10.1038/s41598-019-38867-2
pmc: PMC6385211
doi:

Substances chimiques

Biomarkers 0
Neprilysin EC 3.4.24.11

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2554

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Auteurs

Noemi Pavo (N)

Department of Internal Medicine II, Clinical Division of Cardiology, Medical University of Vienna, Vienna, Austria.

Henrike Arfsten (H)

Department of Internal Medicine II, Clinical Division of Cardiology, Medical University of Vienna, Vienna, Austria.

Anna Cho (A)

Department of Internal Medicine II, Clinical Division of Cardiology, Medical University of Vienna, Vienna, Austria.

Georg Goliasch (G)

Department of Internal Medicine II, Clinical Division of Cardiology, Medical University of Vienna, Vienna, Austria.

Philipp E Bartko (PE)

Department of Internal Medicine II, Clinical Division of Cardiology, Medical University of Vienna, Vienna, Austria.

Raphael Wurm (R)

Department of Internal Medicine II, Clinical Division of Cardiology, Medical University of Vienna, Vienna, Austria.

Claudia Freitag (C)

Department of Internal Medicine II, Clinical Division of Cardiology, Medical University of Vienna, Vienna, Austria.

Heinz Gisslinger (H)

Department of Internal Medicine I, Clinical Division of Oncology, Medical University of Vienna, Vienna, Austria.

Gabriela Kornek (G)

Department of Internal Medicine I, Clinical Division of Oncology, Medical University of Vienna, Vienna, Austria.

Guido Strunk (G)

Complexity Research, Vienna, Austria.
FH Campus Vienna, Vienna, Austria.
Technical University Dortmund, Dortmund, Germany.

Markus Raderer (M)

Department of Internal Medicine I, Clinical Division of Oncology, Medical University of Vienna, Vienna, Austria.

Christoph Zielinski (C)

Department of Internal Medicine I, Clinical Division of Oncology, Medical University of Vienna, Vienna, Austria.

Martin Hülsmann (M)

Department of Internal Medicine II, Clinical Division of Cardiology, Medical University of Vienna, Vienna, Austria. martin.huelsmann@meduniwien.ac.at.

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Classifications MeSH