Home > Publications database > Diet and lifestyle in relation to small intestinal cancer risk: findings from the European Prospective Investigation into Cancer and Nutrition (EPIC). > print |
001 | 276913 | ||
005 | 20240229155007.0 | ||
024 | 7 | _ | |a 10.1007/s10552-023-01731-w |2 doi |
024 | 7 | _ | |a pmid:37330982 |2 pmid |
024 | 7 | _ | |a 0957-5243 |2 ISSN |
024 | 7 | _ | |a 1573-7225 |2 ISSN |
024 | 7 | _ | |a altmetric:150261218 |2 altmetric |
037 | _ | _ | |a DKFZ-2023-01206 |
041 | _ | _ | |a English |
082 | _ | _ | |a 610 |
100 | 1 | _ | |a Ersoy Guller, Zeynep |0 0000-0003-0516-8681 |b 0 |
245 | _ | _ | |a Diet and lifestyle in relation to small intestinal cancer risk: findings from the European Prospective Investigation into Cancer and Nutrition (EPIC). |
260 | _ | _ | |a Dordrecht [u.a.] |c 2023 |b Springer Science + Business Media B.V. |
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 1693291910_14139 |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 2023 Oct;34(10):927-937 |
520 | _ | _ | |a The incidence of small intestinal cancer (SIC) is increasing, however, its aetiology remains unclear due to a lack of data from large-scale prospective cohorts. We examined modifiable risk factors in relation to SIC overall and by histological subtype.We analysed 450,107 participants enrolled in the European Prospective Investigation into Cancer and Nutrition cohort. Cox proportional hazards models were used to estimate univariable and multivariable hazard ratios (HRs) and 95% confidence intervals (CIs).During an average of 14.1 years of follow-up, 160 incident SICs (62 carcinoids, 51 adenocarcinomas) were identified. Whilst univariable models revealed a positive association for current versus never smokers and SIC (HR, 95% CI: 1.77, 1.21-2.60), this association attenuated in multivariable models. In energy-adjusted models, there was an inverse association across vegetable intake tertiles for SIC overall (HRT3vsT1, 95% CI: 0.48, 0.32-0.71, p-trend: < 0.001) and for carcinoids (HRT3vsT1, 95% CI: 0.44, 0.24-0.82, p-trend: 0.01); however, these attenuated in multivariable models. Total fat was also inversely associated with total SIC and both subtypes but only in the second tertile (SIC univariable HRT2vsT1, 95% CI: 0.57, 0.38-0.84; SIC multivariable HRT2vsT1, 95% CI: 0.55, 0.37-0.81). Physical activity, intake of alcohol, red or processed meat, dairy products, or fibre were not associated with SIC.These exploratory analyses found limited evidence for a role of modifiable risk factors in SIC aetiology. However, sample size was limited, particularly for histologic subtypes; therefore, larger studies are needed to delineate these associations and robustly identify risk factors for SIC. |
536 | _ | _ | |a 313 - Krebsrisikofaktoren und Prävention (POF4-313) |0 G:(DE-HGF)POF4-313 |c POF4-313 |f POF IV |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de |
650 | _ | 7 | |a Adenocarcinoma |2 Other |
650 | _ | 7 | |a Alcohol |2 Other |
650 | _ | 7 | |a Cancer |2 Other |
650 | _ | 7 | |a Carcinoid |2 Other |
650 | _ | 7 | |a Diet |2 Other |
650 | _ | 7 | |a Lifestyle |2 Other |
650 | _ | 7 | |a Small intestine |2 Other |
650 | _ | 7 | |a Smoking |2 Other |
700 | 1 | _ | |a Harewood, Rhea N |b 1 |
700 | 1 | _ | |a Weiderpass, Elisabete |b 2 |
700 | 1 | _ | |a Huybrechts, Inge |b 3 |
700 | 1 | _ | |a Jenab, Mazda |b 4 |
700 | 1 | _ | |a Huerta, José María |b 5 |
700 | 1 | _ | |a Sánchez, Maria-Jose |b 6 |
700 | 1 | _ | |a Jakszyn, Paula |b 7 |
700 | 1 | _ | |a Amiano, Pilar |b 8 |
700 | 1 | _ | |a Ardanaz, Eva |b 9 |
700 | 1 | _ | |a Agnoli, Claudia |b 10 |
700 | 1 | _ | |a Tumino, Rosario |b 11 |
700 | 1 | _ | |a Palli, Domenico |b 12 |
700 | 1 | _ | |a Skeie, Guri |b 13 |
700 | 1 | _ | |a Manjer, Jonas |b 14 |
700 | 1 | _ | |a Papier, Keren |b 15 |
700 | 1 | _ | |a Tjønneland, Anne |b 16 |
700 | 1 | _ | |a Eriksen, Anne Kirstine |b 17 |
700 | 1 | _ | |a Schulze, Matthias B |b 18 |
700 | 1 | _ | |a Kaaks, Rudolf |0 P:(DE-He78)4b2dc91c9d1ac33a1c0e0777d0c1697a |b 19 |u dkfz |
700 | 1 | _ | |a Katzke, Verena |0 P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4 |b 20 |u dkfz |
700 | 1 | _ | |a Bergmann, Manuela M |b 21 |
700 | 1 | _ | |a Riboli, Elio |b 22 |
700 | 1 | _ | |a Gunter, Marc J |b 23 |
700 | 1 | _ | |a Cross, Amanda J |b 24 |
773 | _ | _ | |a 10.1007/s10552-023-01731-w |0 PERI:(DE-600)1496544-6 |n 10 |p 927-937 |t Cancer causes & control |v 34 |y 2023 |x 0957-5243 |
909 | C | O | |p VDB |o oai:inrepo02.dkfz.de:276913 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 19 |6 P:(DE-He78)4b2dc91c9d1ac33a1c0e0777d0c1697a |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 20 |6 P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4 |
913 | 1 | _ | |a DE-HGF |b Gesundheit |l Krebsforschung |1 G:(DE-HGF)POF4-310 |0 G:(DE-HGF)POF4-313 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Krebsrisikofaktoren und Prävention |x 0 |
914 | 1 | _ | |y 2023 |
915 | _ | _ | |a DEAL Springer |0 StatID:(DE-HGF)3002 |2 StatID |d 2022-11-16 |w ger |
915 | _ | _ | |a DEAL Springer |0 StatID:(DE-HGF)3002 |2 StatID |d 2022-11-16 |w ger |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2022-11-16 |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2022-11-16 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2022-11-16 |
915 | _ | _ | |a National-Konsortium |0 StatID:(DE-HGF)0430 |2 StatID |d 2023-08-23 |w ger |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2023-08-23 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2023-08-23 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2023-08-23 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2023-08-23 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2023-08-23 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1110 |2 StatID |b Current Contents - Clinical Medicine |d 2023-08-23 |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b CANCER CAUSE CONTROL : 2022 |d 2023-08-23 |
915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |d 2023-08-23 |
920 | 1 | _ | |0 I:(DE-He78)C020-20160331 |k C020 |l C020 Epidemiologie von Krebs |x 0 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-He78)C020-20160331 |
980 | _ | _ | |a UNRESTRICTED |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|