Candidate Plasma Biomarkers to Detect Anthracycline‐Related Cardiomyopathy in Childhood Cancer Survivors: A Case Control Study in the Dutch Childhood Cancer Survivor Study

Author:

Leerink Jan M.12ORCID,Feijen Elizabeth A. M.2,Moerland Perry D.3,de Baat Esmee C.2,Merkx Remy4ORCID,van der Pal Helena J. H.2,Tissing Wim J. E.25,Louwerens Marloes6ORCID,van den Heuvel‐Eibrink Marry M.2ORCID,Versluys A. Birgitta2,Asselbergs Folkert W.789ORCID,Sammani Arjan7ORCID,Teske Arco J.7,van Dalen Elvira C.2ORCID,van der Heiden‐van der Loo Margriet2,van Dulmen‐den Broeder Eline10,de Vries Andrica C. H.211,Kapusta Livia1213,Loonen Jacqueline14,Pinto Yigal M.1,Kremer Leontien C. M.21516ORCID,Mavinkurve‐Groothuis Annelies M. C.2,Kok Wouter E. M.1ORCID

Affiliation:

1. Department of Cardiology, Amsterdam Cardiovascular Sciences Amsterdam University Medical Center, University of Amsterdam, Heart Center Amsterdam The Netherlands

2. Princess Máxima Center for Pediatric Oncology Utrecht The Netherlands

3. Bioinformatics Laboratory, Department of Epidemiology and Data Science Amsterdam University Medical Center, University of Amsterdam Amsterdam The Netherlands

4. Department of Medical Imaging Radboud University Medical Center Nijmegen The Netherlands

5. Beatrix Children’s Hospital, Department of Pediatric Oncology University of Groningen, University Medical Center Groningen Groningen the Netherlands

6. Department of Internal Medicine Leiden University Medical Center Leiden The Netherlands

7. Division of Heart and Lungs, Department of Cardiology University Medical Center Utrecht Utrecht The Netherlands

8. Institute of Cardiovascular Science, Faculty of Population Health Sciences University College London London UK

9. Health Data Research UK and Institute of Health Informatics University College London London UK

10. Department of Pediatric Oncology Amsterdam University Medical Center, Vrije Universiteit Amsterdam The Netherlands

11. Department of Pediatric Oncology Erasmus Medical Center Rotterdam The Netherlands

12. Department of Pediatric Cardiology Amalia Children’s Hospital, Radboud University Medical Center Nijmegen The Netherlands

13. Sackler School of Medicine, Department of Pediatrics, Pediatric Cardiology Unit Tel Aviv Sourasky Medical Center, Tel Aviv University Tel Aviv Israel

14. Department of Hematology Radboud University Medical Center Nijmegen The Netherlands

15. University Medical Center Utrecht Wilhelmina Children’s Hospital Utrecht The Netherlands

16. Amsterdam University Medical Center, University of Amsterdam Emma Children’s Hospital Amsterdam The Netherlands

Abstract

Background Plasma biomarkers may aid in the detection of anthracycline‐related cardiomyopathy (ACMP). However, the currently available biomarkers have limited diagnostic value in long‐term childhood cancer survivors. This study sought to identify diagnostic plasma biomarkers for ACMP in childhood cancer survivors. Methods and Results We measured 275 plasma proteins in 28 ACMP cases with left ventricular ejection fraction <45%, 29 anthracycline‐treated controls with left ventricular ejection fraction ≥53% matched on sex, time after cancer, and anthracycline dose, and 29 patients with genetically determined dilated cardiomyopathy with left ventricular ejection fraction <45%. Multivariable linear regression was used to identify differentially expressed proteins. Elastic net model, including clinical characteristics, was used to assess discrimination of proteins diagnostic for ACMP. NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide) and the inflammatory markers CCL19 (C‐C motif chemokine ligands 19) and CCL20, PSPD (pulmonary surfactant protein‐D), and PTN (pleiotrophin) were significantly upregulated in ACMP compared with controls. An elastic net model selected 45 proteins, including NT‐proBNP, CCL19, CCL20 and PSPD, but not PTN, that discriminated ACMP cases from controls with an area under the receiver operating characteristic curve (AUC) of 0.78. This model was not superior to a model including NT‐proBNP and clinical characteristics (AUC=0.75; P =0.766). However, when excluding 8 ACMP cases with heart failure, the full model was superior to that including only NT‐proBNP and clinical characteristics (AUC=0.75 versus AUC=0.50; P =0.022). The same 45 proteins also showed good discrimination between dilated cardiomyopathy and controls (AUC=0.89), underscoring their association with cardiomyopathy. Conclusions We identified 3 specific inflammatory proteins as candidate plasma biomarkers for ACMP in long‐term childhood cancer survivors and demonstrated protein overlap with dilated cardiomyopathy.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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