| 001 | 136013 | ||
| 005 | 20240229105049.0 | ||
| 024 | 7 | _ | |a 10.1158/1055-9965.EPI-17-0649 |2 doi |
| 024 | 7 | _ | |a pmid:29563134 |2 pmid |
| 024 | 7 | _ | |a 1055-9965 |2 ISSN |
| 024 | 7 | _ | |a 1538-7755 |2 ISSN |
| 024 | 7 | _ | |a altmetric:34747464 |2 altmetric |
| 037 | _ | _ | |a DKFZ-2018-00713 |
| 041 | _ | _ | |a eng |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Assi, Nada |b 0 |
| 245 | _ | _ | |a Are Metabolic Signatures Mediating the Relationship between Lifestyle Factors and Hepatocellular Carcinoma Risk? Results from a Nested Case-Control Study in EPIC. |
| 260 | _ | _ | |a Philadelphia, Pa. |c 2018 |b AACR |
| 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 1531126321_16864 |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 |
| 520 | _ | _ | |a Background: The 'meeting-in-the-middle' (MITM) is a principle to identify exposure biomarkers that are also predictors of disease. The MITM statistical framework was applied in a nested case-control study of hepatocellular carcinoma (HCC) within European Prospective Investigation into Cancer and Nutrition (EPIC), where healthy lifestyle index (HLI) variables were related to targeted serum metabolites.Methods: Lifestyle and targeted metabolomic data were available from 147 incident HCC cases and 147 matched controls. Partial least squares analysis related 7 lifestyle variables from a modified HLI to a set of 132 serum-measured metabolites and a liver function score. Mediation analysis evaluated whether metabolic profiles mediated the relationship between each lifestyle exposure and HCC risk.Results: Exposure-related metabolic signatures were identified. Particularly, the body mass index (BMI)-associated metabolic component was positively related to glutamic acid, tyrosine, PC aaC38:3, and liver function score and negatively to lysoPC aC17:0 and aC18:2. The lifetime alcohol-specific signature had negative loadings on sphingomyelins (SM C16:1, C18:1, SM(OH) C14:1, C16:1 and C22:2). Both exposures were associated with increased HCC with total effects (TE) = 1.23 (95% confidence interval = 0.93-1.62) and 1.40 (1.14-1.72), respectively, for BMI and alcohol consumption. Both metabolic signatures mediated the association between BMI and lifetime alcohol consumption and HCC with natural indirect effects, respectively, equal to 1.56 (1.24-1.96) and 1.09 (1.03-1.15), accounting for a proportion mediated of 100% and 24%.Conclusions: In a refined MITM framework, relevant metabolic signatures were identified as mediators in the relationship between lifestyle exposures and HCC risk.Impact: The understanding of the biological basis for the relationship between modifiable exposures and cancer would pave avenues for clinical and public health interventions on metabolic mediators. Cancer Epidemiol Biomarkers Prev; 27(5); 531-40. ©2018 AACR. |
| 536 | _ | _ | |a 313 - Cancer risk factors and prevention (POF3-313) |0 G:(DE-HGF)POF3-313 |c POF3-313 |f POF III |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef, PubMed, |
| 700 | 1 | _ | |a Thomas, Duncan C |b 1 |
| 700 | 1 | _ | |a Leitzmann, Michael |b 2 |
| 700 | 1 | _ | |a Stepien, Magdalena |b 3 |
| 700 | 1 | _ | |a Chajès, Véronique |b 4 |
| 700 | 1 | _ | |a Philip, Thierry |b 5 |
| 700 | 1 | _ | |a Vineis, Paolo |b 6 |
| 700 | 1 | _ | |a Bamia, Christina |b 7 |
| 700 | 1 | _ | |a Boutron-Ruault, Marie-Christine |b 8 |
| 700 | 1 | _ | |a Sandanger, Torkjel M |b 9 |
| 700 | 1 | _ | |a Molinuevo, Amaia |b 10 |
| 700 | 1 | _ | |a Boshuizen, Hendriek C |b 11 |
| 700 | 1 | _ | |a Sundkvist, Anneli |b 12 |
| 700 | 1 | _ | |a Kühn, Tilman |0 P:(DE-He78)0907a10ba1dc8f53f04907f54f6fdcfe |b 13 |u dkfz |
| 700 | 1 | _ | |a Travis, Ruth C |b 14 |
| 700 | 1 | _ | |a Overvad, Kim |b 15 |
| 700 | 1 | _ | |a Riboli, Elio |b 16 |
| 700 | 1 | _ | |a Gunter, Marc J |b 17 |
| 700 | 1 | _ | |a Scalbert, Augustin |b 18 |
| 700 | 1 | _ | |a Jenab, Mazda |b 19 |
| 700 | 1 | _ | |a Ferrari, Pietro |b 20 |
| 700 | 1 | _ | |a Viallon, Vivian |b 21 |
| 773 | _ | _ | |a 10.1158/1055-9965.EPI-17-0649 |g Vol. 27, no. 5, p. 531 - 540 |0 PERI:(DE-600)2036781-8 |n 5 |p 531 - 540 |t Cancer epidemiology, biomarkers & prevention |v 27 |y 2018 |x 1538-7755 |
| 909 | C | O | |o oai:inrepo02.dkfz.de:136013 |p VDB |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 13 |6 P:(DE-He78)0907a10ba1dc8f53f04907f54f6fdcfe |
| 913 | 1 | _ | |a DE-HGF |l Krebsforschung |1 G:(DE-HGF)POF3-310 |0 G:(DE-HGF)POF3-313 |2 G:(DE-HGF)POF3-300 |v Cancer risk factors and prevention |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |b Gesundheit |
| 914 | 1 | _ | |y 2018 |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b CANCER EPIDEM BIOMAR : 2015 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0310 |2 StatID |b NCBI Molecular Biology Database |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Thomson Reuters Master Journal List |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0110 |2 StatID |b Science Citation Index |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1110 |2 StatID |b Current Contents - Clinical Medicine |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |
| 915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |
| 920 | 1 | _ | |0 I:(DE-He78)C020-20160331 |k C020 |l Epidemiologie von Krebserkrankungen |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-He78)C020-20160331 |
| 980 | _ | _ | |a UNRESTRICTED |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|
guest ::