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Diet and BMI Correlate with Metabolite Patterns Associated with Aggressive Prostate Cancer

Grenville, Zoe S. ; Noor, Urwah ; His, Mathilde ; Viallon, Vivian ; Rinaldi, Sabina ; Aglago, Elom K. ; Amiano, Pilar ; Brunkwall, Louise LU ; Chirlaque, María Dolores and Drake, Isabel LU , et al. (2022) In Nutrients 14(16).
Abstract

Three metabolite patterns have previously shown prospective inverse associations with the risk of aggressive prostate cancer within the European Prospective Investigation into Cancer and Nutrition (EPIC). Here, we investigated dietary and lifestyle correlates of these three prostate cancer-related metabolite patterns, which included: 64 phosphatidylcholines and three hydroxysphingomyelins (Pattern 1), acylcarnitines C18:1 and C18:2, glutamate, ornithine, and taurine (Pattern 2), and 8 lysophosphatidylcholines (Pattern 3). In a two-stage cross-sectional discovery (n = 2524) and validation (n = 518) design containing 3042 men free of cancer in EPIC, we estimated the associations of 24 dietary and lifestyle variables with each pattern and... (More)

Three metabolite patterns have previously shown prospective inverse associations with the risk of aggressive prostate cancer within the European Prospective Investigation into Cancer and Nutrition (EPIC). Here, we investigated dietary and lifestyle correlates of these three prostate cancer-related metabolite patterns, which included: 64 phosphatidylcholines and three hydroxysphingomyelins (Pattern 1), acylcarnitines C18:1 and C18:2, glutamate, ornithine, and taurine (Pattern 2), and 8 lysophosphatidylcholines (Pattern 3). In a two-stage cross-sectional discovery (n = 2524) and validation (n = 518) design containing 3042 men free of cancer in EPIC, we estimated the associations of 24 dietary and lifestyle variables with each pattern and the contributing individual metabolites. Associations statistically significant after both correction for multiple testing (False Discovery Rate = 0.05) in the discovery set and at p < 0.05 in the validation set were considered robust. Intakes of alcohol, total fish products, and its subsets total fish and lean fish were positively associated with Pattern 1. Body mass index (BMI) was positively associated with Pattern 2, which appeared to be driven by a strong positive BMI-glutamate association. Finally, both BMI and fatty fish were inversely associated with Pattern 3. In conclusion, these results indicate associations of fish and its subtypes, alcohol, and BMI with metabolite patterns that are inversely associated with risk of aggressive prostate cancer.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
cross-sectional, diet, metabolites, prostate cancer
in
Nutrients
volume
14
issue
16
article number
3306
publisher
MDPI AG
external identifiers
  • scopus:85136657547
  • pmid:36014812
ISSN
2072-6643
DOI
10.3390/nu14163306
language
English
LU publication?
yes
id
8254f7d2-fc0f-43d9-8605-c5d115cdc8f9
date added to LUP
2022-10-18 15:48:56
date last changed
2024-04-18 09:22:59
@article{8254f7d2-fc0f-43d9-8605-c5d115cdc8f9,
  abstract     = {{<p>Three metabolite patterns have previously shown prospective inverse associations with the risk of aggressive prostate cancer within the European Prospective Investigation into Cancer and Nutrition (EPIC). Here, we investigated dietary and lifestyle correlates of these three prostate cancer-related metabolite patterns, which included: 64 phosphatidylcholines and three hydroxysphingomyelins (Pattern 1), acylcarnitines C18:1 and C18:2, glutamate, ornithine, and taurine (Pattern 2), and 8 lysophosphatidylcholines (Pattern 3). In a two-stage cross-sectional discovery (n = 2524) and validation (n = 518) design containing 3042 men free of cancer in EPIC, we estimated the associations of 24 dietary and lifestyle variables with each pattern and the contributing individual metabolites. Associations statistically significant after both correction for multiple testing (False Discovery Rate = 0.05) in the discovery set and at p &lt; 0.05 in the validation set were considered robust. Intakes of alcohol, total fish products, and its subsets total fish and lean fish were positively associated with Pattern 1. Body mass index (BMI) was positively associated with Pattern 2, which appeared to be driven by a strong positive BMI-glutamate association. Finally, both BMI and fatty fish were inversely associated with Pattern 3. In conclusion, these results indicate associations of fish and its subtypes, alcohol, and BMI with metabolite patterns that are inversely associated with risk of aggressive prostate cancer.</p>}},
  author       = {{Grenville, Zoe S. and Noor, Urwah and His, Mathilde and Viallon, Vivian and Rinaldi, Sabina and Aglago, Elom K. and Amiano, Pilar and Brunkwall, Louise and Chirlaque, María Dolores and Drake, Isabel and Eichelmann, Fabian and Freisling, Heinz and Grioni, Sara and Heath, Alicia K. and Kaaks, Rudolf and Katzke, Verena and Mayén-Chacon, Ana Lucia and Milani, Lorenzo and Moreno-Iribas, Conchi and Pala, Valeria and Olsen, Anja and Sánchez, Maria Jose and Schulze, Matthias B. and Tjønneland, Anne and Tsilidis, Konstantinos K. and Weiderpass, Elisabete and Winkvist, Anna and Zamora-Ros, Raul and Key, Timothy J. and Smith-Byrne, Karl and Travis, Ruth C. and Schmidt, Julie A.}},
  issn         = {{2072-6643}},
  keywords     = {{cross-sectional; diet; metabolites; prostate cancer}},
  language     = {{eng}},
  month        = {{08}},
  number       = {{16}},
  publisher    = {{MDPI AG}},
  series       = {{Nutrients}},
  title        = {{Diet and BMI Correlate with Metabolite Patterns Associated with Aggressive Prostate Cancer}},
  url          = {{http://dx.doi.org/10.3390/nu14163306}},
  doi          = {{10.3390/nu14163306}},
  volume       = {{14}},
  year         = {{2022}},
}