Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study

Abstract Background Prostate cancer is the second most frequently diagnosed cancer in men. Metabolomics can potentially provide new insights into the aetiology of prostate cancer by identifying new metabolic risk factors. This study investigated the prospective association between plasma metabolite...

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Main Authors: Röhnisch, Hanna E., Kyrø, Cecilie, Olsen, Anja, Thysell, Elin, Hallmans, Göran, Moazzami, Ali A.
Format: Article in Journal/Newspaper
Language:unknown
Published: figshare 2020
Subjects:
Online Access:https://dx.doi.org/10.6084/m9.figshare.c.5070875.v1
https://springernature.figshare.com/collections/Identification_of_metabolites_associated_with_prostate_cancer_risk_a_nested_case-control_study_with_long_follow-up_in_the_Northern_Sweden_Health_and_Disease_Study/5070875/1
id ftdatacite:10.6084/m9.figshare.c.5070875.v1
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spelling ftdatacite:10.6084/m9.figshare.c.5070875.v1 2023-05-15T17:44:27+02:00 Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study Röhnisch, Hanna E. Kyrø, Cecilie Olsen, Anja Thysell, Elin Hallmans, Göran Moazzami, Ali A. 2020 https://dx.doi.org/10.6084/m9.figshare.c.5070875.v1 https://springernature.figshare.com/collections/Identification_of_metabolites_associated_with_prostate_cancer_risk_a_nested_case-control_study_with_long_follow-up_in_the_Northern_Sweden_Health_and_Disease_Study/5070875/1 unknown figshare https://dx.doi.org/10.1186/s12916-020-01655-1 https://dx.doi.org/10.6084/m9.figshare.c.5070875 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Biochemistry Medicine Cell Biology Genetics FOS Biological sciences Neuroscience Physiology Biotechnology 39999 Chemical Sciences not elsewhere classified FOS Chemical sciences Sociology FOS Sociology Cancer Collection article 2020 ftdatacite https://doi.org/10.6084/m9.figshare.c.5070875.v1 https://doi.org/10.1186/s12916-020-01655-1 https://doi.org/10.6084/m9.figshare.c.5070875 2021-11-05T12:55:41Z Abstract Background Prostate cancer is the second most frequently diagnosed cancer in men. Metabolomics can potentially provide new insights into the aetiology of prostate cancer by identifying new metabolic risk factors. This study investigated the prospective association between plasma metabolite concentrations and prostate cancer risk, both overall and by stratifying for disease aggressiveness and baseline age. Methods In a case-control study nested in the Northern Sweden Health and Disease Study, pre-diagnostic concentrations of 148 plasma metabolites were determined using targeted mass spectrometry- and nuclear magnetic resonance-based metabolomics in 777 prostate cancer cases (follow-up ≥ 5 years) and 777 matched controls. Associations between prostate cancer risk and metabolite concentrations were investigated using conditional logistic regression conditioned on matching factors (body mass index, age and sample storage time). Corrections for multiple testing were performed using false discovery rate (20%) and Bonferroni. Metabolomics analyses generated new hypotheses, which were investigated by leveraging food frequency questionnaires (FFQs) and oral glucose tolerance tests performed at baseline. Results After correcting for multiple testing, two lysophosphatidylcholines (LPCs) were positively associated with risk of overall prostate cancer (all ages and in older subjects). The strongest association was for LPC C17:0 in older subjects (OR = 2.08; 95% CI 1.45–2.98; p Article in Journal/Newspaper Northern Sweden DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Biochemistry
Medicine
Cell Biology
Genetics
FOS Biological sciences
Neuroscience
Physiology
Biotechnology
39999 Chemical Sciences not elsewhere classified
FOS Chemical sciences
Sociology
FOS Sociology
Cancer
spellingShingle Biochemistry
Medicine
Cell Biology
Genetics
FOS Biological sciences
Neuroscience
Physiology
Biotechnology
39999 Chemical Sciences not elsewhere classified
FOS Chemical sciences
Sociology
FOS Sociology
Cancer
Röhnisch, Hanna E.
Kyrø, Cecilie
Olsen, Anja
Thysell, Elin
Hallmans, Göran
Moazzami, Ali A.
Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study
topic_facet Biochemistry
Medicine
Cell Biology
Genetics
FOS Biological sciences
Neuroscience
Physiology
Biotechnology
39999 Chemical Sciences not elsewhere classified
FOS Chemical sciences
Sociology
FOS Sociology
Cancer
description Abstract Background Prostate cancer is the second most frequently diagnosed cancer in men. Metabolomics can potentially provide new insights into the aetiology of prostate cancer by identifying new metabolic risk factors. This study investigated the prospective association between plasma metabolite concentrations and prostate cancer risk, both overall and by stratifying for disease aggressiveness and baseline age. Methods In a case-control study nested in the Northern Sweden Health and Disease Study, pre-diagnostic concentrations of 148 plasma metabolites were determined using targeted mass spectrometry- and nuclear magnetic resonance-based metabolomics in 777 prostate cancer cases (follow-up ≥ 5 years) and 777 matched controls. Associations between prostate cancer risk and metabolite concentrations were investigated using conditional logistic regression conditioned on matching factors (body mass index, age and sample storage time). Corrections for multiple testing were performed using false discovery rate (20%) and Bonferroni. Metabolomics analyses generated new hypotheses, which were investigated by leveraging food frequency questionnaires (FFQs) and oral glucose tolerance tests performed at baseline. Results After correcting for multiple testing, two lysophosphatidylcholines (LPCs) were positively associated with risk of overall prostate cancer (all ages and in older subjects). The strongest association was for LPC C17:0 in older subjects (OR = 2.08; 95% CI 1.45–2.98; p
format Article in Journal/Newspaper
author Röhnisch, Hanna E.
Kyrø, Cecilie
Olsen, Anja
Thysell, Elin
Hallmans, Göran
Moazzami, Ali A.
author_facet Röhnisch, Hanna E.
Kyrø, Cecilie
Olsen, Anja
Thysell, Elin
Hallmans, Göran
Moazzami, Ali A.
author_sort Röhnisch, Hanna E.
title Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study
title_short Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study
title_full Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study
title_fullStr Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study
title_full_unstemmed Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study
title_sort identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the northern sweden health and disease study
publisher figshare
publishDate 2020
url https://dx.doi.org/10.6084/m9.figshare.c.5070875.v1
https://springernature.figshare.com/collections/Identification_of_metabolites_associated_with_prostate_cancer_risk_a_nested_case-control_study_with_long_follow-up_in_the_Northern_Sweden_Health_and_Disease_Study/5070875/1
genre Northern Sweden
genre_facet Northern Sweden
op_relation https://dx.doi.org/10.1186/s12916-020-01655-1
https://dx.doi.org/10.6084/m9.figshare.c.5070875
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.c.5070875.v1
https://doi.org/10.1186/s12916-020-01655-1
https://doi.org/10.6084/m9.figshare.c.5070875
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