Prospective analysis of circulating metabolites and endometrial cancer risk.
Amino acids
Endometrial cancer
Lipids
Metabolomics
Obesity
Journal
Gynecologic oncology
ISSN: 1095-6859
Titre abrégé: Gynecol Oncol
Pays: United States
ID NLM: 0365304
Informations de publication
Date de publication:
08 2021
08 2021
Historique:
received:
22
02
2021
accepted:
01
06
2021
pubmed:
9
6
2021
medline:
15
12
2021
entrez:
8
6
2021
Statut:
ppublish
Résumé
Endometrial cancer is strongly associated with obesity and dysregulation of metabolic factors such as estrogen and insulin signaling are causal risk factors for this malignancy. To identify additional novel metabolic pathways associated with endometrial cancer we performed metabolomic analyses on pre-diagnostic plasma samples from 853 case-control pairs from the European Prospective Investigation into Cancer and Nutrition (EPIC). A total of 129 metabolites (acylcarnitines, amino acids, biogenic amines, glycerophospholipids, hexoses, and sphingolipids) were measured by liquid chromatography-mass spectrometry. Conditional logistic regression estimated the associations of metabolites with endometrial cancer risk. An analysis focusing on clusters of metabolites using the bootstrap lasso method was also employed. After adjustment for body mass index, sphingomyelin [SM] C18:0 was positively (OR These findings suggest that variation in levels of glycine, serine, SM C18:0 and free carnitine may represent specific pathways linked to endometrial cancer development. If causal, these pathways may offer novel targets for endometrial cancer prevention.
Sections du résumé
BACKGROUND
Endometrial cancer is strongly associated with obesity and dysregulation of metabolic factors such as estrogen and insulin signaling are causal risk factors for this malignancy. To identify additional novel metabolic pathways associated with endometrial cancer we performed metabolomic analyses on pre-diagnostic plasma samples from 853 case-control pairs from the European Prospective Investigation into Cancer and Nutrition (EPIC).
METHODS
A total of 129 metabolites (acylcarnitines, amino acids, biogenic amines, glycerophospholipids, hexoses, and sphingolipids) were measured by liquid chromatography-mass spectrometry. Conditional logistic regression estimated the associations of metabolites with endometrial cancer risk. An analysis focusing on clusters of metabolites using the bootstrap lasso method was also employed.
RESULTS
After adjustment for body mass index, sphingomyelin [SM] C18:0 was positively (OR
CONCLUSION
These findings suggest that variation in levels of glycine, serine, SM C18:0 and free carnitine may represent specific pathways linked to endometrial cancer development. If causal, these pathways may offer novel targets for endometrial cancer prevention.
Identifiants
pubmed: 34099314
pii: S0090-8258(21)00447-9
doi: 10.1016/j.ygyno.2021.06.001
pmc: PMC8336647
pii:
doi:
Substances chimiques
Biomarkers, Tumor
0
Sphingomyelins
0
Serine
452VLY9402
Carnitine
S7UI8SM58A
Glycine
TE7660XO1C
Types de publication
Journal Article
Multicenter Study
Observational Study
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
475-481Subventions
Organisme : Cancer Research UK
ID : C19335/A21351
Pays : United Kingdom
Informations de copyright
Copyright © 2021. Published by Elsevier Inc.
Déclaration de conflit d'intérêts
Declaration of Competing Interest None.
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