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Pan-cancer analysis of pre-diagnostic blood metabolite concentrations in the European Prospective Investigation into Cancer and Nutrition
- Source :
- BMC Med. 20:351 (2022), Breeur, M, Ferrari, P, Dossus, L, Jenab, M, Johansson, M, Rinaldi, S, Travis, R C, His, M, Key, T J, Schmidt, J A, Overvad, K, Tjønneland, A, Kyrø, C, Rothwell, J A, Laouali, N, Severi, G, Kaaks, R, Katzke, V, Schulze, M B, Eichelmann, F, Palli, D, Grioni, S, Panico, S, Tumino, R, Sacerdote, C, Bueno-de-Mesquita, B, Olsen, K S, Sandanger, T M, Nøst, T H, Quirós, J R, Bonet, C, Barranco, M R, Chirlaque, M-D, Ardanaz, E, Sandsveden, M, Manjer, J, Vidman, L, Rentoft, M, Muller, D, Tsilidis, K, Heath, A K, Keun, H, Adamski, J, Keski-Rahkonen, P, Scalbert, A, Gunter, M J & Viallon, V 2022, ' Pan-cancer analysis of pre-diagnostic blood metabolite concentrations in the European Prospective Investigation into Cancer and Nutrition ', BMC Medicine, vol. 20, no. 1, 351 . https://doi.org/10.1186/s12916-022-02553-4, BMC Medicine, BMC Medicine, 2022, 20 (1), pp.351. ⟨10.1186/s12916-022-02553-4⟩
- Publication Year :
- 2022
- Publisher :
- Umeå universitet, Onkologi, 2022.
-
Abstract
- Background 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. Methods We analysed targeted metabolomics data available for 5828 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. Results Out of the 50 studied metabolites, (i) six were inversely associated with the risk of most cancer types: glutamine, butyrylcarnitine, lysophosphatidylcholine a C18:2, and three clusters of phosphatidylcholines (PCs); (ii) three were positively associated with most cancer types: proline, decanoylcarnitine, and one cluster of PCs; and (iii) 10 were specifically associated with particular cancer types, including histidine that was inversely associated with colorectal cancer risk and one cluster of sphingomyelins that was inversely associated with risk of hepatocellular carcinoma and positively with endometrial cancer risk. Conclusions These results could provide novel insights for the identification of pathways for cancer development, in particular those shared across different cancer types.
- Subjects :
- Male
Carcinoma, Hepatocellular
Proline
Glutamine
Kidney
Risk Factors
General & Internal Medicine
Humans
Metabolomics
Histidine
Prospective Studies
Breast
Càncer
11 Medical and Health Sciences
Colorectal
Cancer
Cancer och onkologi
Liver Neoplasms
Prostate
Lysophosphatidylcholines
General Medicine
Sphingomyelins
Metabolòmica
Liver
[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie
Case-Control Studies
Cancer and Oncology
Carcinoma, Hepatocellular/diagnosis
Phosphatidylcholines
Epic
Endometrial
Lasso
[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
EPIC
Subjects
Details
- Language :
- English
- ISSN :
- 17417015
- Database :
- OpenAIRE
- Journal :
- BMC Med. 20:351 (2022), Breeur, M, Ferrari, P, Dossus, L, Jenab, M, Johansson, M, Rinaldi, S, Travis, R C, His, M, Key, T J, Schmidt, J A, Overvad, K, Tjønneland, A, Kyrø, C, Rothwell, J A, Laouali, N, Severi, G, Kaaks, R, Katzke, V, Schulze, M B, Eichelmann, F, Palli, D, Grioni, S, Panico, S, Tumino, R, Sacerdote, C, Bueno-de-Mesquita, B, Olsen, K S, Sandanger, T M, Nøst, T H, Quirós, J R, Bonet, C, Barranco, M R, Chirlaque, M-D, Ardanaz, E, Sandsveden, M, Manjer, J, Vidman, L, Rentoft, M, Muller, D, Tsilidis, K, Heath, A K, Keun, H, Adamski, J, Keski-Rahkonen, P, Scalbert, A, Gunter, M J & Viallon, V 2022, ' Pan-cancer analysis of pre-diagnostic blood metabolite concentrations in the European Prospective Investigation into Cancer and Nutrition ', BMC Medicine, vol. 20, no. 1, 351 . https://doi.org/10.1186/s12916-022-02553-4, BMC Medicine, BMC Medicine, 2022, 20 (1), pp.351. ⟨10.1186/s12916-022-02553-4⟩
- Accession number :
- edsair.doi.dedup.....527be4cd7ccff29ea77eab9cd5066ad2