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| 001 | 157334 | ||
| 005 | 20240229123134.0 | ||
| 024 | 7 | _ | |a 10.1002/ijc.33236 |2 doi |
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| 024 | 7 | _ | |a 0020-7136 |2 ISSN |
| 024 | 7 | _ | |a 1097-0215 |2 ISSN |
| 024 | 7 | _ | |a altmetric:86897786 |2 altmetric |
| 037 | _ | _ | |a DKFZ-2020-01563 |
| 041 | _ | _ | |a eng |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Stepien, Magdalena |b 0 |
| 245 | _ | _ | |a Metabolic perturbations prior to hepatocellular carcinoma diagnosis - Findings from a prospective observational cohort study. |
| 260 | _ | _ | |a Bognor Regis |c 2020 |b Wiley-Liss |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1609158878_26462 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 500 | _ | _ | |a 2021 Feb 1;148(3):609-625 |
| 520 | _ | _ | |a Hepatocellular carcinoma (HCC) development entails changes in liver metabolism. Current knowledge on metabolic perturbations in HCC is derived mostly from case-control designs, with sparse information from prospective cohorts. Our objective was to apply comprehensive metabolite profiling to detect metabolites whose serum concentrations are associated with HCC development, using biological samples from within the prospective EPIC cohort (>520 000 participants,), where we identified 129 HCC cases matched 1:1 to controls. We conducted high resolution untargeted liquid chromatography-mass spectrometry based metabolomics on serum samples collected at recruitment prior to cancer diagnosis. Multivariable conditional logistic regression was applied controlling for dietary habits, alcohol consumption, smoking, body size, hepatitis infection and liver dysfunction. Corrections for multiple comparisons were applied. Of 9206 molecular features detected, 220 discriminated HCC cases from controls. Detailed feature annotation revealed 92 metabolites associated with HCC risk; 14 of which were unambiguously identified using pure reference standards. Positive HCC risk associations were observed for N1-acetylspermidine, isatin, p-hydroxyphenyllactic acid, tyrosine, sphingosine, L,L-cyclo(leucylprolyl), glycochenodeoxycholic acid, glycocholic acid, and 7-methylguanine. Inverse risk associations were observed for retinol, dehydroepiandrosterone sulfate, glycerophosphocholine, γ-carboxyethyl hydroxychroman, and creatine. Discernible differences for these metabolites were observed between cases and controls up to 10 years prior to diagnosis. Our observations highlight the diversity of metabolic perturbations involved in HCC development and replicate previous observations (metabolism of bile acids, amino acids, phospholipids) made in Asian and Scandinavian populations. These findings emphasize the role of metabolic pathways associated with steroid metabolism and immunity and specific dietary and environmental exposures in HCC development. This article is protected by copyright. All rights reserved. |
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| 700 | 1 | _ | |a Keski-Rahkonen, Pekka |b 1 |
| 700 | 1 | _ | |a Kiss, Agneta |b 2 |
| 700 | 1 | _ | |a Robinot, Nivonirina |b 3 |
| 700 | 1 | _ | |a Duarte-Salles, Talita |b 4 |
| 700 | 1 | _ | |a Murphy, Neil |0 0000-0003-3347-8249 |b 5 |
| 700 | 1 | _ | |a Perlemuter, Gabriel |b 6 |
| 700 | 1 | _ | |a Viallon, Vivian |b 7 |
| 700 | 1 | _ | |a Tjønneland, Anne |b 8 |
| 700 | 1 | _ | |a Rostgaard-Hansen, Agnetha Linn |b 9 |
| 700 | 1 | _ | |a Dahm, Christina C |b 10 |
| 700 | 1 | _ | |a Overvad, Kim |b 11 |
| 700 | 1 | _ | |a Boutron-Ruault, Marie-Christine |0 0000-0002-5956-5693 |b 12 |
| 700 | 1 | _ | |a Mancini, Francesca Romana |0 0000-0003-2297-3869 |b 13 |
| 700 | 1 | _ | |a Mahamat-Saleh, Yahya |b 14 |
| 700 | 1 | _ | |a Aleksandrova, Krasimira |b 15 |
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| 700 | 1 | _ | |a Trichopoulou, Antonia |b 18 |
| 700 | 1 | _ | |a Karakatsani, Anna |b 19 |
| 700 | 1 | _ | |a Panico, Salvatore |b 20 |
| 700 | 1 | _ | |a Tumino, Rosario |b 21 |
| 700 | 1 | _ | |a Palli, Domenico |b 22 |
| 700 | 1 | _ | |a Tagliabue, Giovanna |b 23 |
| 700 | 1 | _ | |a Naccarati, Alessio |b 24 |
| 700 | 1 | _ | |a Vermeulen, Roel C H |b 25 |
| 700 | 1 | _ | |a Bueno-de-Mesquita, H Bas |b 26 |
| 700 | 1 | _ | |a Weiderpass, Elisabete |0 0000-0003-2237-0128 |b 27 |
| 700 | 1 | _ | |a Skeie, Guri |b 28 |
| 700 | 1 | _ | |a Ramón Quirós, J. |b 29 |
| 700 | 1 | _ | |a Ardanaz, Eva |b 30 |
| 700 | 1 | _ | |a Mokoroa, Olatz |b 31 |
| 700 | 1 | _ | |a Sala, Núria |0 0000-0003-3585-7613 |b 32 |
| 700 | 1 | _ | |a Sánchez, Maria-Jose |b 33 |
| 700 | 1 | _ | |a Huerta, José María |b 34 |
| 700 | 1 | _ | |a Winkvist, Anna |b 35 |
| 700 | 1 | _ | |a Harlid, Sophia |b 36 |
| 700 | 1 | _ | |a Ohlsson, Bodil |b 37 |
| 700 | 1 | _ | |a Sjöberg, Klas |b 38 |
| 700 | 1 | _ | |a Schmidt, Julie A |0 0000-0002-7733-8750 |b 39 |
| 700 | 1 | _ | |a Wareham, Nick |b 40 |
| 700 | 1 | _ | |a Khaw, Kay-Tee |b 41 |
| 700 | 1 | _ | |a Ferrari, Pietro |b 42 |
| 700 | 1 | _ | |a Rothwell, Joseph A |b 43 |
| 700 | 1 | _ | |a Gunter, Marc |b 44 |
| 700 | 1 | _ | |a Riboli, Elio |b 45 |
| 700 | 1 | _ | |a Scalbert, Augustin |b 46 |
| 700 | 1 | _ | |a Jenab, Mazda |0 0000-0002-0573-1852 |b 47 |
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