Can biomarkers be used to improve diagnosis and prediction of metabolic syndrome in childhood cancer survivors? A systematic review

Summary Childhood cancer survivors (CCS) are at increased risk to develop metabolic syndrome (MetS), diabetes, and cardiovascular disease. Common criteria underestimate adiposity and possibly underdiagnose MetS, particularly after abdominal radiotherapy. A systematic literature review and meta‐analy...

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Published inObesity reviews Vol. 22; no. 11; pp. e13312 - n/a
Main Authors Pluimakers, Vincent G., Santen, Selveta S., Fiocco, Marta, Bakker, Marie‐Christine E., Lelij, Aart J., Heuvel‐Eibrink, Marry M., Neggers, Sebastian J. C. M. M.
Format Journal Article
LanguageEnglish
Published England Wiley Subscription Services, Inc 01.11.2021
John Wiley and Sons Inc
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Online AccessGet full text
ISSN1467-7881
1467-789X
1467-789X
DOI10.1111/obr.13312

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Abstract Summary Childhood cancer survivors (CCS) are at increased risk to develop metabolic syndrome (MetS), diabetes, and cardiovascular disease. Common criteria underestimate adiposity and possibly underdiagnose MetS, particularly after abdominal radiotherapy. A systematic literature review and meta‐analysis on the diagnostic and predictive value of nine newer MetS related biomarkers (adiponectin, leptin, uric acid, hsCRP, TNF‐alpha, IL‐1, IL‐6, apolipoprotein B (apoB), and lipoprotein(a) [lp(a)]) in survivors and adult non‐cancer survivors was performed by searching PubMed and Embase. Evidence was summarized with GRADE after risk of bias evaluation (QUADAS‐2/QUIPS). Eligible studies on promising biomarkers were pooled. We identified 175 general population and five CCS studies. In the general population, valuable predictive biomarkers are uric acid, adiponectin, hsCRP and apoB (high level of evidence), and leptin (moderate level of evidence). Valuable diagnostic biomarkers are hsCRP, adiponectin, uric acid, and leptin (low, low, moderate, and high level of evidence, respectively). Meta‐analysis showed OR for hyperuricemia of 2.94 (age‐/sex‐adjusted), OR per unit uric acid increase of 1.086 (unadjusted), and AUC for hsCRP of 0.71 (unadjusted). Uric acid, adiponectin, hsCRP, leptin, and apoB can be alternative biomarkers in the screening setting for MetS in survivors, to enhance early identification of those at high risk of subsequent complications.
AbstractList Childhood cancer survivors (CCS) are at increased risk to develop metabolic syndrome (MetS), diabetes, and cardiovascular disease. Common criteria underestimate adiposity and possibly underdiagnose MetS, particularly after abdominal radiotherapy. A systematic literature review and meta‐analysis on the diagnostic and predictive value of nine newer MetS related biomarkers (adiponectin, leptin, uric acid, hsCRP, TNF‐alpha, IL‐1, IL‐6, apolipoprotein B (apoB), and lipoprotein(a) [lp(a)]) in survivors and adult non‐cancer survivors was performed by searching PubMed and Embase. Evidence was summarized with GRADE after risk of bias evaluation (QUADAS‐2/QUIPS). Eligible studies on promising biomarkers were pooled. We identified 175 general population and five CCS studies. In the general population, valuable predictive biomarkers are uric acid, adiponectin, hsCRP and apoB (high level of evidence), and leptin (moderate level of evidence). Valuable diagnostic biomarkers are hsCRP, adiponectin, uric acid, and leptin (low, low, moderate, and high level of evidence, respectively). Meta‐analysis showed OR for hyperuricemia of 2.94 (age‐/sex‐adjusted), OR per unit uric acid increase of 1.086 (unadjusted), and AUC for hsCRP of 0.71 (unadjusted). Uric acid, adiponectin, hsCRP, leptin, and apoB can be alternative biomarkers in the screening setting for MetS in survivors, to enhance early identification of those at high risk of subsequent complications.
Summary Childhood cancer survivors (CCS) are at increased risk to develop metabolic syndrome (MetS), diabetes, and cardiovascular disease. Common criteria underestimate adiposity and possibly underdiagnose MetS, particularly after abdominal radiotherapy. A systematic literature review and meta‐analysis on the diagnostic and predictive value of nine newer MetS related biomarkers (adiponectin, leptin, uric acid, hsCRP, TNF‐alpha, IL‐1, IL‐6, apolipoprotein B (apoB), and lipoprotein(a) [lp(a)]) in survivors and adult non‐cancer survivors was performed by searching PubMed and Embase. Evidence was summarized with GRADE after risk of bias evaluation (QUADAS‐2/QUIPS). Eligible studies on promising biomarkers were pooled. We identified 175 general population and five CCS studies. In the general population, valuable predictive biomarkers are uric acid, adiponectin, hsCRP and apoB (high level of evidence), and leptin (moderate level of evidence). Valuable diagnostic biomarkers are hsCRP, adiponectin, uric acid, and leptin (low, low, moderate, and high level of evidence, respectively). Meta‐analysis showed OR for hyperuricemia of 2.94 (age‐/sex‐adjusted), OR per unit uric acid increase of 1.086 (unadjusted), and AUC for hsCRP of 0.71 (unadjusted). Uric acid, adiponectin, hsCRP, leptin, and apoB can be alternative biomarkers in the screening setting for MetS in survivors, to enhance early identification of those at high risk of subsequent complications.
Childhood cancer survivors (CCS) are at increased risk to develop metabolic syndrome (MetS), diabetes, and cardiovascular disease. Common criteria underestimate adiposity and possibly underdiagnose MetS, particularly after abdominal radiotherapy. A systematic literature review and meta-analysis on the diagnostic and predictive value of nine newer MetS related biomarkers (adiponectin, leptin, uric acid, hsCRP, TNF-alpha, IL-1, IL-6, apolipoprotein B (apoB), and lipoprotein(a) [lp(a)]) in survivors and adult non-cancer survivors was performed by searching PubMed and Embase. Evidence was summarized with GRADE after risk of bias evaluation (QUADAS-2/QUIPS). Eligible studies on promising biomarkers were pooled. We identified 175 general population and five CCS studies. In the general population, valuable predictive biomarkers are uric acid, adiponectin, hsCRP and apoB (high level of evidence), and leptin (moderate level of evidence). Valuable diagnostic biomarkers are hsCRP, adiponectin, uric acid, and leptin (low, low, moderate, and high level of evidence, respectively). Meta-analysis showed OR for hyperuricemia of 2.94 (age-/sex-adjusted), OR per unit uric acid increase of 1.086 (unadjusted), and AUC for hsCRP of 0.71 (unadjusted). Uric acid, adiponectin, hsCRP, leptin, and apoB can be alternative biomarkers in the screening setting for MetS in survivors, to enhance early identification of those at high risk of subsequent complications.Childhood cancer survivors (CCS) are at increased risk to develop metabolic syndrome (MetS), diabetes, and cardiovascular disease. Common criteria underestimate adiposity and possibly underdiagnose MetS, particularly after abdominal radiotherapy. A systematic literature review and meta-analysis on the diagnostic and predictive value of nine newer MetS related biomarkers (adiponectin, leptin, uric acid, hsCRP, TNF-alpha, IL-1, IL-6, apolipoprotein B (apoB), and lipoprotein(a) [lp(a)]) in survivors and adult non-cancer survivors was performed by searching PubMed and Embase. Evidence was summarized with GRADE after risk of bias evaluation (QUADAS-2/QUIPS). Eligible studies on promising biomarkers were pooled. We identified 175 general population and five CCS studies. In the general population, valuable predictive biomarkers are uric acid, adiponectin, hsCRP and apoB (high level of evidence), and leptin (moderate level of evidence). Valuable diagnostic biomarkers are hsCRP, adiponectin, uric acid, and leptin (low, low, moderate, and high level of evidence, respectively). Meta-analysis showed OR for hyperuricemia of 2.94 (age-/sex-adjusted), OR per unit uric acid increase of 1.086 (unadjusted), and AUC for hsCRP of 0.71 (unadjusted). Uric acid, adiponectin, hsCRP, leptin, and apoB can be alternative biomarkers in the screening setting for MetS in survivors, to enhance early identification of those at high risk of subsequent complications.
Author Santen, Selveta S.
Pluimakers, Vincent G.
Fiocco, Marta
Heuvel‐Eibrink, Marry M.
Bakker, Marie‐Christine E.
Lelij, Aart J.
Neggers, Sebastian J. C. M. M.
AuthorAffiliation 5 Department of Medicine University Medical Center Utrecht Netherlands
4 Mathematical Institute Leiden University Leiden Netherlands
3 Medical Statistics, Department of Biomedical Data Science Leiden UMC Leiden Netherlands
1 Princess Máxima Center for Pediatric Oncology Utrecht Netherlands
2 Department of Medicine, Endocrinology Erasmus Medical Center Rotterdam Netherlands
AuthorAffiliation_xml – name: 2 Department of Medicine, Endocrinology Erasmus Medical Center Rotterdam Netherlands
– name: 5 Department of Medicine University Medical Center Utrecht Netherlands
– name: 4 Mathematical Institute Leiden University Leiden Netherlands
– name: 3 Medical Statistics, Department of Biomedical Data Science Leiden UMC Leiden Netherlands
– name: 1 Princess Máxima Center for Pediatric Oncology Utrecht Netherlands
Author_xml – sequence: 1
  givenname: Vincent G.
  orcidid: 0000-0002-3066-3951
  surname: Pluimakers
  fullname: Pluimakers, Vincent G.
  email: v.g.pluimakers@prinsesmaximacentrum.nl
  organization: Princess Máxima Center for Pediatric Oncology
– sequence: 2
  givenname: Selveta S.
  orcidid: 0000-0001-8818-6759
  surname: Santen
  fullname: Santen, Selveta S.
  organization: Erasmus Medical Center
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  givenname: Marta
  orcidid: 0000-0001-5588-0277
  surname: Fiocco
  fullname: Fiocco, Marta
  organization: Leiden University
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  fullname: Bakker, Marie‐Christine E.
  organization: University Medical Center Utrecht
– sequence: 5
  givenname: Aart J.
  orcidid: 0000-0002-1059-0126
  surname: Lelij
  fullname: Lelij, Aart J.
  organization: Erasmus Medical Center
– sequence: 6
  givenname: Marry M.
  orcidid: 0000-0002-7760-879X
  surname: Heuvel‐Eibrink
  fullname: Heuvel‐Eibrink, Marry M.
  organization: Princess Máxima Center for Pediatric Oncology
– sequence: 7
  givenname: Sebastian J. C. M. M.
  orcidid: 0000-0002-7698-0282
  surname: Neggers
  fullname: Neggers, Sebastian J. C. M. M.
  organization: Erasmus Medical Center
BackLink https://www.ncbi.nlm.nih.gov/pubmed/34258851$$D View this record in MEDLINE/PubMed
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Issue 11
Keywords the metabolic syndrome
biomarker
systematic review
childhood cancer survivors
Language English
License Attribution-NonCommercial-NoDerivs
2021 The Authors. Obesity Reviews published by John Wiley & Sons Ltd on behalf of World Obesity Federation.
This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
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Notes Funding information
Vincent G. Pluimakers, Selveta S. van Santen, Marry M. van den Heuvel‐Eibrink, and Sebastian J.C.M.M. Neggers contributed equally to the content of this manuscript
Erasmus Medisch Centrum; Princess Máxima Center for Pediatric Oncology
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Funding information Erasmus Medisch Centrum; Princess Máxima Center for Pediatric Oncology
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Snippet Summary Childhood cancer survivors (CCS) are at increased risk to develop metabolic syndrome (MetS), diabetes, and cardiovascular disease. Common criteria...
Childhood cancer survivors (CCS) are at increased risk to develop metabolic syndrome (MetS), diabetes, and cardiovascular disease. Common criteria...
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StartPage e13312
SubjectTerms Adiponectin
Adipose tissue
adiposity
Adult
adults
Apolipoprotein B
biomarker
Biomarkers
Cancer
Cancer Survivors
Cardiovascular diseases
Childhood
childhood cancer survivors
Children
diabetes
Diabetes mellitus
Diagnostic systems
Humans
Hyperuricemia
interleukin-1
interleukin-6
Leptin
Literature reviews
Medical diagnosis
meta-analysis
Metabolic disorders
Metabolic syndrome
Metabolic Syndrome - diagnosis
Metabolic Syndrome - etiology
Neoplasms - diagnosis
obesity
Pediatric Obesity/Obesity Comorbidity
Population studies
prediction
Radiation therapy
radiotherapy
Risk
Survival
Systematic review
the metabolic syndrome
tumor necrosis factor-alpha
Uric acid
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Title Can biomarkers be used to improve diagnosis and prediction of metabolic syndrome in childhood cancer survivors? A systematic review
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