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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ftdoajarticles:oai:doaj.org/article:574a273ca2bd4da8a0a4c9ccdf7b2a2b 2023-05-15T17:44:31+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 Hanna E. Röhnisch Cecilie Kyrø Anja Olsen Elin Thysell Göran Hallmans Ali A. Moazzami 2020-07-01T00:00:00Z https://doi.org/10.1186/s12916-020-01655-1 https://doaj.org/article/574a273ca2bd4da8a0a4c9ccdf7b2a2b EN eng BMC http://link.springer.com/article/10.1186/s12916-020-01655-1 https://doaj.org/toc/1741-7015 doi:10.1186/s12916-020-01655-1 1741-7015 https://doaj.org/article/574a273ca2bd4da8a0a4c9ccdf7b2a2b BMC Medicine, Vol 18, Iss 1, Pp 1-14 (2020) Prostate cancer Metabolomics Nested case-control study Nuclear magnetic resonance spectroscopy Mass spectrometry Risk biomarkers Medicine R article 2020 ftdoajarticles https://doi.org/10.1186/s12916-020-01655-1 2022-12-30T22:18:25Z 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 < 0.0001, significant also after the Bonferroni correction). Observed associations with risk of overall prostate cancer in younger subjects were positive for glycine and inverse for pyruvate. For aggressive prostate cancer, there were positive associations with six glycerophospholipids (LPC C17:0, LPC C20:3, LPC C20:4, PC ae C38:3, PC ae C38:4 and PC ae C40:2), while there was an inverse association with acylcarnitine C18:2. Moreover, plasma LPC C17:0 concentrations positively correlated with estimated dietary intake of fatty acid C17:0 ... Article in Journal/Newspaper Northern Sweden Directory of Open Access Journals: DOAJ Articles BMC Medicine 18 1 |
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Directory of Open Access Journals: DOAJ Articles |
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English |
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Prostate cancer Metabolomics Nested case-control study Nuclear magnetic resonance spectroscopy Mass spectrometry Risk biomarkers Medicine R |
spellingShingle |
Prostate cancer Metabolomics Nested case-control study Nuclear magnetic resonance spectroscopy Mass spectrometry Risk biomarkers Medicine R Hanna E. Röhnisch Cecilie Kyrø Anja Olsen Elin Thysell Göran Hallmans Ali A. Moazzami 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 |
Prostate cancer Metabolomics Nested case-control study Nuclear magnetic resonance spectroscopy Mass spectrometry Risk biomarkers Medicine R |
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 < 0.0001, significant also after the Bonferroni correction). Observed associations with risk of overall prostate cancer in younger subjects were positive for glycine and inverse for pyruvate. For aggressive prostate cancer, there were positive associations with six glycerophospholipids (LPC C17:0, LPC C20:3, LPC C20:4, PC ae C38:3, PC ae C38:4 and PC ae C40:2), while there was an inverse association with acylcarnitine C18:2. Moreover, plasma LPC C17:0 concentrations positively correlated with estimated dietary intake of fatty acid C17:0 ... |
format |
Article in Journal/Newspaper |
author |
Hanna E. Röhnisch Cecilie Kyrø Anja Olsen Elin Thysell Göran Hallmans Ali A. Moazzami |
author_facet |
Hanna E. Röhnisch Cecilie Kyrø Anja Olsen Elin Thysell Göran Hallmans Ali A. Moazzami |
author_sort |
Hanna E. Röhnisch |
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 |
BMC |
publishDate |
2020 |
url |
https://doi.org/10.1186/s12916-020-01655-1 https://doaj.org/article/574a273ca2bd4da8a0a4c9ccdf7b2a2b |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_source |
BMC Medicine, Vol 18, Iss 1, Pp 1-14 (2020) |
op_relation |
http://link.springer.com/article/10.1186/s12916-020-01655-1 https://doaj.org/toc/1741-7015 doi:10.1186/s12916-020-01655-1 1741-7015 https://doaj.org/article/574a273ca2bd4da8a0a4c9ccdf7b2a2b |
op_doi |
https://doi.org/10.1186/s12916-020-01655-1 |
container_title |
BMC Medicine |
container_volume |
18 |
container_issue |
1 |
_version_ |
1766146755368321024 |