Imperial College London
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Dr David C Muller

Faculty of Medicine, School of Public Health

Senior Lecturer in Cancer Epidemiology and Biostatistics
 
 
 
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Contact

 

david.muller

 
 
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Location

 

School of Public HealthWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@unpublished{Breeur:2022:10.1101/2022.04.11.22273693,
author = {Breeur, M and Ferrari, P and Dossus, L and Jenab, M and Johansson, M and Rinaldi, S and Travis, RC and His, M and Key, TJ and Schmidt, JA and Overvad, K and Tjønneland, A and Kyrø, C and Rothwell, JA and Laouali, N and Severi, G and Kaaks, R and Katzke, V and Schulze, MB and Eichelmann, F and Palli, D and Grioni, S and Panico, S and Tumino, R and Sacerdote, C and Bueno-de-Mesquita, B and Olsen, KS and Sandanger, TM and Nøst, TH and Quirós, JR and Bonet, C and Barranco, MR and Chirlaque, M-D and Ardanaz, E and Sandsveden, M and Manjer, J and Vidman, L and Rentoft, M and Muller, D and Tsilidis, K and Heath, AK and Keun, H and Adamski, J and Keski-Rahkonen, P and Scalbert, A and Gunter, MJ and Viallon, V},
doi = {10.1101/2022.04.11.22273693},
publisher = {Cold Spring Harbor Laboratory},
title = {Pan-cancer analysis of pre-diagnostic blood metabolite concentrations in the European Prospective Investigation into Cancer and Nutrition},
url = {http://dx.doi.org/10.1101/2022.04.11.22273693},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - UNPB
AB  - <jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Epidemiological studies of associations between metabolites and cancer risk have typically focused on specific cancer types separately. Here, we designed a multivariate pan-cancer analysis to identify metabolites potentially associated with multiple cancer types, while also allowing the investigation of cancer type-specific associations.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>We analyzed targeted metabolomics data available for 5,828 matched case-control pairs from cancer-specific case-control studies on breast, colorectal, endometrial, gallbladder, kidney, localized and advanced prostate cancer, and hepatocellular carcinoma nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. From pre-diagnostic blood levels of an initial set of 117 metabolites, 33 cluster representatives of strongly correlated metabolites, and 17 single metabolites were derived by hierarchical clustering. The mutually adjusted associations of the resulting 50 metabolites with cancer risk were examined in penalized conditional logistic regression models adjusted for body mass index, using the data shared lasso penalty.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Out of the 50 studied metabolites, <jats:italic>(i)</jats:italic> six were inversely associated with risk of most cancer types: glutamine, butyrylcarnitine, lysophosphatidylcholine a C18:2 and three clusters of phosphatidylcholines (PCs); <jats:italic>(ii)</jats:italic> three were positively associated with most cancer types: proline, decanoylcarnitine and one cluster of PCs; and <jats:italic>(iii)</jats:italic> 10 were specifically associated with particular cancer types, including histidine that was inversely associate
AU  - Breeur,M
AU  - Ferrari,P
AU  - Dossus,L
AU  - Jenab,M
AU  - Johansson,M
AU  - Rinaldi,S
AU  - Travis,RC
AU  - His,M
AU  - Key,TJ
AU  - Schmidt,JA
AU  - Overvad,K
AU  - Tjønneland,A
AU  - Kyrø,C
AU  - Rothwell,JA
AU  - Laouali,N
AU  - Severi,G
AU  - Kaaks,R
AU  - Katzke,V
AU  - Schulze,MB
AU  - Eichelmann,F
AU  - Palli,D
AU  - Grioni,S
AU  - Panico,S
AU  - Tumino,R
AU  - Sacerdote,C
AU  - Bueno-de-Mesquita,B
AU  - Olsen,KS
AU  - Sandanger,TM
AU  - Nøst,TH
AU  - Quirós,JR
AU  - Bonet,C
AU  - Barranco,MR
AU  - Chirlaque,M-D
AU  - Ardanaz,E
AU  - Sandsveden,M
AU  - Manjer,J
AU  - Vidman,L
AU  - Rentoft,M
AU  - Muller,D
AU  - Tsilidis,K
AU  - Heath,AK
AU  - Keun,H
AU  - Adamski,J
AU  - Keski-Rahkonen,P
AU  - Scalbert,A
AU  - Gunter,MJ
AU  - Viallon,V
DO  - 10.1101/2022.04.11.22273693
PB  - Cold Spring Harbor Laboratory
PY  - 2022///
TI  - Pan-cancer analysis of pre-diagnostic blood metabolite concentrations in the European Prospective Investigation into Cancer and Nutrition
UR  - http://dx.doi.org/10.1101/2022.04.11.22273693
UR  - https://www.medrxiv.org/content/10.1101/2022.04.11.22273693v1
UR  - http://hdl.handle.net/10044/1/97955
ER  -
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