guest ::
| Home > Publications database > Inflammatory Markers and Risk of Epithelial Ovarian Cancer by Tumor Subtypes: The EPIC Cohort. > print |
| Home > Publications database > Inflammatory Markers and Risk of Epithelial Ovarian Cancer by Tumor Subtypes: The EPIC Cohort. > print |
| 001 | 127252 | ||
| 005 | 20240228140914.0 | ||
| 024 | 7 | _ | |a 10.1158/1055-9965.EPI-14-1279-T |2 doi |
| 024 | 7 | _ | |a pmid:25855626 |2 pmid |
| 024 | 7 | _ | |a pmc:PMC4454588 |2 pmc |
| 024 | 7 | _ | |a 1055-9965 |2 ISSN |
| 024 | 7 | _ | |a 1538-7755 |2 ISSN |
| 024 | 7 | _ | |a altmetric:3897687 |2 altmetric |
| 037 | _ | _ | |a DKFZ-2017-03277 |
| 041 | _ | _ | |a eng |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Ose, Jennifer |0 P:(DE-He78)333482b724e4a621465ccc9a939da8dc |b 0 |e First author |u dkfz |
| 245 | _ | _ | |a Inflammatory Markers and Risk of Epithelial Ovarian Cancer by Tumor Subtypes: The EPIC Cohort. |
| 260 | _ | _ | |a Philadelphia, Pa. |c 2015 |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 1521707098_16575 |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 Evidence suggests an etiologic role for inflammation in ovarian carcinogenesis and heterogeneity between tumor subtypes and anthropometric indices. Prospective studies on circulating inflammatory markers and epithelial invasive ovarian cancer (EOC) have predominantly investigated overall risk; data characterizing risk by tumor characteristics (histology, grade, stage, dualistic model of ovarian carcinogenesis) and anthropometric indices are sparse.We conducted a nested case-control study in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort to evaluate C-reactive protein (CRP), IL6, and EOC risk by tumor characteristics. A total of 754 eligible EOC cases were identified; two controls (n = 1,497) were matched per case. We used multivariable conditional logistic regression to assess associations.CRP and IL6 were not associated with overall EOC risk. However, consistent with prior research, CRP >10 versus CRP ≤1 mg/L was associated with higher overall EOC risk [OR, 1.67 (1.03-2.70)]. We did not observe significant associations or heterogeneity in analyses by tumor characteristics. In analyses stratified by waist circumference, inflammatory markers were associated with higher risk among women with higher waist circumference; no association was observed for women with normal waist circumference [e.g., IL6: waist ≤80: ORlog2, 0.97 (0.81-1.16); waist >88: ORlog2, 1.78 (1.28-2.48), Pheterogeneity ≤ 0.01].Our data suggest that high CRP is associated with increased risk of overall EOC, and that IL6 and CRP may be associated with EOC risk among women with higher adiposity.Our data add to global evidence that ovarian carcinogenesis may be promoted by an inflammatory milieu. |
| 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, |
| 650 | _ | 7 | |a Biomarkers, Tumor |2 NLM Chemicals |
| 650 | _ | 7 | |a Inflammation Mediators |2 NLM Chemicals |
| 700 | 1 | _ | |a Schock, Helena |0 P:(DE-He78)1bd6298f721e4a01f21c2329276a53a7 |b 1 |u dkfz |
| 700 | 1 | _ | |a Tjønneland, Anne |b 2 |
| 700 | 1 | _ | |a Hansen, Louise |b 3 |
| 700 | 1 | _ | |a Overvad, Kim |b 4 |
| 700 | 1 | _ | |a Dossus, Laure |b 5 |
| 700 | 1 | _ | |a Clavel-Chapelon, Françoise |b 6 |
| 700 | 1 | _ | |a Baglietto, Laura |b 7 |
| 700 | 1 | _ | |a Boeing, Heiner |b 8 |
| 700 | 1 | _ | |a Trichopolou, Antonia |b 9 |
| 700 | 1 | _ | |a Benetou, Vassiliki |b 10 |
| 700 | 1 | _ | |a Lagiou, Pagona |b 11 |
| 700 | 1 | _ | |a Masala, Giovanna |b 12 |
| 700 | 1 | _ | |a Tagliabue, Giovanna |b 13 |
| 700 | 1 | _ | |a Tumino, Rosario |b 14 |
| 700 | 1 | _ | |a Sacerdote, Carlotta |b 15 |
| 700 | 1 | _ | |a Mattiello, Amalia |b 16 |
| 700 | 1 | _ | |a Bueno-de-Mesquita, H B As |b 17 |
| 700 | 1 | _ | |a Peeters, Petra H M |b 18 |
| 700 | 1 | _ | |a Onland-Moret, N Charlotte |b 19 |
| 700 | 1 | _ | |a Weiderpass, Elisabete |b 20 |
| 700 | 1 | _ | |a Gram, Inger T |b 21 |
| 700 | 1 | _ | |a Sánchez, Soledad |b 22 |
| 700 | 1 | _ | |a Obon-Santacana, Mireia |b 23 |
| 700 | 1 | _ | |a Sànchez-Pérez, Maria-José |b 24 |
| 700 | 1 | _ | |a Larrañaga, Nerea |b 25 |
| 700 | 1 | _ | |a Castaño, José María Huerta |b 26 |
| 700 | 1 | _ | |a Ardanaz, Eva |b 27 |
| 700 | 1 | _ | |a Brändstedt, Jenny |b 28 |
| 700 | 1 | _ | |a Lundin, Eva |b 29 |
| 700 | 1 | _ | |a Idahl, Annika |b 30 |
| 700 | 1 | _ | |a Travis, Ruth C |b 31 |
| 700 | 1 | _ | |a Khaw, Kay-Tee |b 32 |
| 700 | 1 | _ | |a Rinaldi, Sabina |b 33 |
| 700 | 1 | _ | |a Romieu, Isabelle |b 34 |
| 700 | 1 | _ | |a Merritt, Melissa A |b 35 |
| 700 | 1 | _ | |a Gunter, Marc J |b 36 |
| 700 | 1 | _ | |a Riboli, Elio |b 37 |
| 700 | 1 | _ | |a Kaaks, Rudolf |0 P:(DE-He78)4b2dc91c9d1ac33a1c0e0777d0c1697a |b 38 |u dkfz |
| 700 | 1 | _ | |a Turzanski-Fortner, Renée |0 P:(DE-He78)74a6af8347ec5cbd4b77e562e10ca1f2 |b 39 |e Last author |u dkfz |
| 773 | _ | _ | |a 10.1158/1055-9965.EPI-14-1279-T |g Vol. 24, no. 6, p. 951 - 961 |0 PERI:(DE-600)2036781-8 |n 6 |p 951 - 961 |t Cancer epidemiology, biomarkers & prevention |v 24 |y 2015 |x 1538-7755 |
| 909 | C | O | |o oai:inrepo02.dkfz.de:127252 |p VDB |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 0 |6 P:(DE-He78)333482b724e4a621465ccc9a939da8dc |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 1 |6 P:(DE-He78)1bd6298f721e4a01f21c2329276a53a7 |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 38 |6 P:(DE-He78)4b2dc91c9d1ac33a1c0e0777d0c1697a |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 39 |6 P:(DE-He78)74a6af8347ec5cbd4b77e562e10ca1f2 |
| 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 2015 |
| 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)C060-20160331 |k C060 |l Biostatistik |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-He78)C060-20160331 |
| 980 | _ | _ | |a UNRESTRICTED |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|