001     182833
005     20240229145732.0
024 7 _ |a 10.1093/jnci/djac215
|2 doi
024 7 _ |a pmid:36445035
|2 pmid
024 7 _ |a 0027-8874
|2 ISSN
024 7 _ |a 0198-0157
|2 ISSN
024 7 _ |a 1460-2105
|2 ISSN
024 7 _ |a altmetric:139615494
|2 altmetric
037 _ _ |a DKFZ-2022-02960
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Murphy, Neil
|b 0
245 _ _ |a Body Mass Index and Molecular Subtypes of Colorectal Cancer.
260 _ _ |a Oxford
|c 2023
|b Oxford Univ. Press
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 1676290740_32046
|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 Feb 8;115(2):165-173
520 _ _ |a Obesity is an established risk factor for colorectal cancer (CRC); but the evidence for the association is inconsistent across molecular subtypes of the disease.We pooled data on BMI, tumor microsatellite instability (MSI) status, CpG island methylator phenotype (CIMP) status, BRAF and KRAS mutations, and Jass classification types for 11,872 CRC cases and 11,013 controls from 11 observational studies. We used multinomial logistic regression to estimate odds ratio (OR) and 95% confidence intervals (CI) adjusted for covariables.Higher BMI was associated with increased CRC risk (OR per 5 kg/m2, 1.18, 95%CI: 1.15-1.22). The positive association was stronger for men than women, but similar across tumor subtypes defined by individual molecular markers. In analyses by Jass type, higher BMI was associated with elevated CRC risk for types 1-4 cases but not for type 5 CRC cases (considered familial-like/Lynch syndrome MSI-H, CIMP-low/negative, BRAF-wildtype, KRAS-wildtype, OR, 1.04, 95%CI: 0.90-1.20). This pattern of associations for BMI and Jass types was consistent by sex and design of contributing studies (cohort or case-control).In contrast to previous reports with fewer study participants, we found limited evidence of heterogeneity for the association between BMI and CRC risk according to molecular subtype, suggesting that obesity influences nearly all major pathways involved in colorectal carcinogenesis. The null association observed for the Jass type 5 suggests that BMI is not a risk factor for the development of CRC for individuals with Lynch syndrome.
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
700 1 _ |a Newton, Christina C
|b 1
700 1 _ |a Song, Mingyang
|b 2
700 1 _ |a Papadimitriou, Nikos
|b 3
700 1 _ |a Hoffmeister, Michael
|0 P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f
|b 4
|u dkfz
700 1 _ |a Phipps, Amanda I
|b 5
700 1 _ |a Harrison, Tabitha A
|b 6
700 1 _ |a Newcomb, Polly A
|b 7
700 1 _ |a Aglago, Elom K
|b 8
700 1 _ |a Berndt, Sonja I
|b 9
700 1 _ |a Brenner, Hermann
|0 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2
|b 10
|u dkfz
700 1 _ |a Buchanan, Daniel D
|b 11
700 1 _ |a Cao, Yin
|b 12
700 1 _ |a Chan, Andrew T
|b 13
700 1 _ |a Chen, Xuechen
|0 P:(DE-He78)c392ec8a090dcfbe801f135a6212caf9
|b 14
|u dkfz
700 1 _ |a Cheng, Iona
|b 15
700 1 _ |a Chang-Claude, Jenny
|0 P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253
|b 16
|u dkfz
700 1 _ |a Dimou, Niki
|b 17
700 1 _ |a Drew, David
|b 18
700 1 _ |a Farris, Alton B
|b 19
700 1 _ |a French, Amy J
|b 20
700 1 _ |a Gallinger, Steven
|b 21
700 1 _ |a Georgeson, Peter
|b 22
700 1 _ |a Giannakis, Marios
|b 23
700 1 _ |a Giles, Graham G
|b 24
700 1 _ |a Gruber, Stephen B
|b 25
700 1 _ |a Harlid, Sophia
|b 26
700 1 _ |a Hsu, Li
|b 27
700 1 _ |a Huang, Wen-Yi
|b 28
700 1 _ |a Jenkins, Mark A
|b 29
700 1 _ |a Laskar, Ruhina S
|b 30
700 1 _ |a Le Marchand, Loic
|b 31
700 1 _ |a Limburg, Paul
|b 32
700 1 _ |a Lin, Yi
|b 33
700 1 _ |a Mandic, Marko
|0 P:(DE-He78)6c325c717056d7ccd38066629f7dff6b
|b 34
|u dkfz
700 1 _ |a Nowak, Johnathan A
|b 35
700 1 _ |a Obón-Santacana, Mereia
|b 36
700 1 _ |a Ogino, Shuji
|b 37
700 1 _ |a Qu, Conghui
|b 38
700 1 _ |a Sakoda, Lori C
|b 39
700 1 _ |a Schoen, Robert E
|b 40
700 1 _ |a Southey, Melissa C
|b 41
700 1 _ |a Stadler, Zsofia K
|b 42
700 1 _ |a Steinfelder, Robert S
|b 43
700 1 _ |a Sun, Wei
|b 44
700 1 _ |a Thibodeau, Stephen N
|b 45
700 1 _ |a Toland, Amanda E
|b 46
700 1 _ |a Trinh, Quang M
|b 47
700 1 _ |a Tsilidis, Kostas K
|b 48
700 1 _ |a Ugai, Tomotaka
|b 49
700 1 _ |a Van Guelpen, Bethany
|b 50
700 1 _ |a Wang, Xiaoliang
|b 51
700 1 _ |a Woods, Michael O
|b 52
700 1 _ |a Zaidi, Syed H
|b 53
700 1 _ |a Gunter, Marc J
|b 54
700 1 _ |a Peters, Ulrike
|b 55
700 1 _ |a Campbell, Peter T
|b 56
773 _ _ |a 10.1093/jnci/djac215
|g p. djac215
|0 PERI:(DE-600)1465951-7
|n 2
|p 165-173
|t Journal of the National Cancer Institute
|v 115
|y 2023
|x 0027-8874
909 C O |p VDB
|o oai:inrepo02.dkfz.de:182833
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 4
|6 P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 10
|6 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 14
|6 P:(DE-He78)c392ec8a090dcfbe801f135a6212caf9
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 16
|6 P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 34
|6 P:(DE-He78)6c325c717056d7ccd38066629f7dff6b
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 2022
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-01-28
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2021-01-28
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-01-28
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2023-10-21
|w ger
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b JNCI-J NATL CANCER I : 2022
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2023-10-21
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2023-10-21
915 _ _ |a IF >= 10
|0 StatID:(DE-HGF)9910
|2 StatID
|b JNCI-J NATL CANCER I : 2022
|d 2023-10-21
920 1 _ |0 I:(DE-He78)C070-20160331
|k C070
|l C070 Klinische Epidemiologie und Alternf.
|x 0
920 1 _ |0 I:(DE-He78)C020-20160331
|k C020
|l C020 Epidemiologie von Krebs
|x 1
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C070-20160331
980 _ _ |a I:(DE-He78)C020-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21