Literature DB >> 32750002

Metabolic Syndrome Parameters, Determinants, and Biomarkers in Adult Survivors of Childhood Cancer: Protocol for the Dutch Childhood Cancer Survivor Study on Metabolic Syndrome (Dutch LATER METS).

Vincent Pluimakers1, Marta Fiocco1,2,3, Jenneke van Atteveld1, Monique Hobbelink4, Dorine Bresters1, Eline Van Dulmen-den Broeder1,5, Margriet Van der Heiden-van der Loo6, Geert O Janssens1,4, Leontien Kremer1,5, Jacqueline Loonen7, Marloes Louwerens2, Helena Van der Pal1, Cécile Ronckers1,5,8, Hanneke Van Santen1,9, Birgitta Versluys1,9, Andrica De Vries1,10, Marry Van den Heuvel-Eibrink1, Sebastian Neggers1,11.   

Abstract

BACKGROUND: Potential late effects of treatment for childhood cancer include adiposity, insulin resistance, dyslipidemia, and hypertension. These risk factors cluster together as metabolic syndrome and increase the risk for development of diabetes mellitus and cardio- and cerebrovascular disease. Knowledge on risk factors, timely diagnosis, and preventive strategies is of importance to prevent cardio- and cerebrovascular complications and improve quality of life. Currently, no national cohort studies on the prevalence and determinants of metabolic syndrome in childhood cancer survivors, including biomarkers and genetic predisposition, are available.
OBJECTIVE: The objectives of the Dutch LATER METS study are to assess 1) the prevalence and risk factors of metabolic syndrome and its separate components, and 2) the potential diagnostic and predictive value of additional biomarkers for surveillance of metabolic syndrome in the national cohort of adult long-term survivors of childhood cancer.
METHODS: This is a cross-sectional study based on recruitment of all survivors treated in the Netherlands between 1963 and 2002. Metabolic syndrome will be classified according to the definitions of the third Adult Treatment Panel Report of the National Cholesterol Education Program as well as the Joint Interim Statement and compared to reference data. Dual-energy x-ray absorptiometry scans were performed to assess body composition in more detail. The effect of patient characteristics, previous treatment, and genetic variation on the risk of metabolic syndrome will be assessed. The diagnostic and predictive value of novel biomarkers will be tested.
RESULTS: Patient accrual started in 2016 and lasted until April 2020. A total of 2380 survivors from 7 pediatric oncology hospitals have participated. From July 2020, biomarker testing, single nucleotide polymorphism analysis, and data analysis will be performed.
CONCLUSIONS: The Dutch LATER METS study will provide knowledge on clinical and genetic determinants of metabolic syndrome and the diagnostic value of biomarkers in childhood cancer survivors. The results of this study will be used to optimize surveillance guidelines for metabolic syndrome in survivors based on enhanced risk stratification and screening strategies. This will improve diagnosis of metabolic syndrome and prevent complications. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/21256. ©Vincent Pluimakers, Marta Fiocco, Jenneke van Atteveld, Monique Hobbelink, Dorine Bresters, Eline Van Dulmen-den Broeder, Margriet Van der Heiden-van der Loo, Geert O Janssens, Leontien Kremer, Jacqueline Loonen, Marloes Louwerens, Helena Van der Pal, Cécile Ronckers, Hanneke Van Santen, Birgitta Versluys, Andrica De Vries, Marry Van den Heuvel-Eibrink, Sebastian Neggers. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 27.01.2021.

Entities:  

Keywords:  Dutch Childhood Cancer Survivor Study; Dutch LATER METS; childhood cancer survivor; metabolic syndrome; methodology

Year:  2021        PMID: 32750002      PMCID: PMC7875697          DOI: 10.2196/21256

Source DB:  PubMed          Journal:  JMIR Res Protoc        ISSN: 1929-0748


  66 in total

1.  Prevalence and risk factors of the metabolic syndrome in adult survivors of childhood leukemia.

Authors:  Claire Oudin; Marie-Claude Simeoni; Nicolas Sirvent; Audrey Contet; Audrey Begu-Le Coroller; Pierre Bordigoni; Catherine Curtillet; Maryline Poirée; Isabelle Thuret; Barbara Play; Mara Carazza Massot; Pascal Chastagner; Hervé Chambost; Pascal Auquier; Gérard Michel
Journal:  Blood       Date:  2011-01-28       Impact factor: 22.113

2.  Genetic Power Calculator: design of linkage and association genetic mapping studies of complex traits.

Authors:  S Purcell; S S Cherny; P C Sham
Journal:  Bioinformatics       Date:  2003-01       Impact factor: 6.937

Review 3.  Inflammatory markers and the metabolic syndrome: insights from therapeutic interventions.

Authors:  Kwang Kon Koh; Seung Hwan Han; Michael J Quon
Journal:  J Am Coll Cardiol       Date:  2005-11-09       Impact factor: 24.094

4.  Adult life after childhood cancer in Scandinavia: diabetes mellitus following treatment for cancer in childhood.

Authors:  Anna Sällfors Holmqvist; Jørgen H Olsen; Klaus Kaae Andersen; Sofie de Fine Licht; Lars Hjorth; Stanislaw Garwicz; Christian Moëll; Harald Anderson; Finn Wesenberg; Laufey Tryggvadottir; Nea Malila; John D Boice; Henrik Hasle; Jeanette Falck Winther
Journal:  Eur J Cancer       Date:  2014-02-04       Impact factor: 9.162

Review 5.  Evidence for Genetic Risk Contributing to Long-Term Adverse Treatment Effects in Childhood Cancer Survivors.

Authors:  Maria Monica Gramatges; Smita Bhatia
Journal:  Annu Rev Med       Date:  2017-10-13       Impact factor: 13.739

6.  Reduced insulin sensitivity in childhood survivors of haematopoietic stem cell transplantation is associated with lipodystropic and sarcopenic phenotypes.

Authors:  Christina Wei; Manigandan S Thyagiarajan; Linda P Hunt; Julian P H Shield; Michael C G Stevens; Elizabeth C Crowne
Journal:  Pediatr Blood Cancer       Date:  2015-05-19       Impact factor: 3.167

7.  Decreased ovarian function is associated with obesity in very long-term female survivors of childhood cancer.

Authors:  W van Dorp; K Blijdorp; J S E Laven; R Pieters; J A Visser; A J van der Lely; S J C M M Neggers; M M van den Heuvel-Eibrink
Journal:  Eur J Endocrinol       Date:  2013-05-07       Impact factor: 6.664

Review 8.  Uric acid in metabolic syndrome: From an innocent bystander to a central player.

Authors:  Mehmet Kanbay; Thomas Jensen; Yalcin Solak; Myphuong Le; Carlos Roncal-Jimenez; Chris Rivard; Miguel A Lanaspa; Takahiko Nakagawa; Richard J Johnson
Journal:  Eur J Intern Med       Date:  2015-12-15       Impact factor: 4.487

9.  Functional mapping and annotation of genetic associations with FUMA.

Authors:  Kyoko Watanabe; Erdogan Taskesen; Arjen van Bochoven; Danielle Posthuma
Journal:  Nat Commun       Date:  2017-11-28       Impact factor: 14.919

10.  The cumulative burden of surviving childhood cancer: an initial report from the St Jude Lifetime Cohort Study (SJLIFE).

Authors:  Nickhill Bhakta; Qi Liu; Kirsten K Ness; Malek Baassiri; Hesham Eissa; Frederick Yeo; Wassim Chemaitilly; Matthew J Ehrhardt; Johnnie Bass; Michael W Bishop; Kyla Shelton; Lu Lu; Sujuan Huang; Zhenghong Li; Eric Caron; Jennifer Lanctot; Carrie Howell; Timothy Folse; Vijaya Joshi; Daniel M Green; Daniel A Mulrooney; Gregory T Armstrong; Kevin R Krull; Tara M Brinkman; Raja B Khan; Deo K Srivastava; Melissa M Hudson; Yutaka Yasui; Leslie L Robison
Journal:  Lancet       Date:  2017-09-08       Impact factor: 79.321

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.