Genomic determinants of long-term cardiometabolic complications in childhood acute lymphoblastic leukemia survivors

Autor: Patrick Beaulieu, Emile Levy, Maja Krajinovic, Pascal St-Onge, Valérie Marcil, Daniel Sinnett, Caroline Laverdière, Jade England, Simon Drouin
Jazyk: angličtina
Rok vydání: 2017
Předmět:
0301 basic medicine
Male
Cancer Research
obesity
Acute lymphoblastic leukemia
Risk Factors
insulin resistance
Receptors
Immunologic
Child
Transcortin
education.field_of_study
Precursor Cell Lymphoblastic Leukemia-Lymphoma
lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
3. Good health
Oncology
genetic association study
Cohort
Female
bcl-Associated Death Protein
cardiometabolic complications
Research Article
medicine.medical_specialty
hypertension
extreme phenotype
Adolescent
Population
Context (language use)
lcsh:RC254-282
genetic determinants
03 medical and health sciences
Insulin resistance
Internal medicine
Survivorship curve
Exome Sequencing
Genetics
medicine
Genetic predisposition
Biomarkers
Tumor
Humans
cancer survivors
Genetic Predisposition to Disease
education
Childhood Acute Lymphoblastic Leukemia
Genetic Association Studies
business.industry
dyslipidemia
medicine.disease
030104 developmental biology
Physical therapy
business
Dyslipidemia
Zdroj: BMC Cancer, Vol 17, Iss 1, Pp 1-14 (2017)
BMC Cancer
ISSN: 1471-2407
Popis: Background While cure rates for childhood acute lymphoblastic leukemia (cALL) now exceed 80%, over 60% of survivors will face treatment-related long-term sequelae, including cardiometabolic complications such as obesity, insulin resistance, dyslipidemia and hypertension. Although genetic susceptibility contributes to the development of these problems, there are very few studies that have so far addressed this issue in a cALL survivorship context. Methods In this study, we aimed at evaluating the associations between common and rare genetic variants and long-term cardiometabolic complications in survivors of cALL. We examined the cardiometabolic profile and performed whole-exome sequencing in 209 cALL survivors from the PETALE cohort. Variants associated with cardiometabolic outcomes were identified using PLINK (common) or SKAT (common and rare) and a logistic regression was used to evaluate their impact in multivariate models. Results Our results showed that rare and common variants in the BAD and FCRL3 genes were associated (p
Databáze: OpenAIRE
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