000168982 001__ 168982
000168982 005__ 20240229133634.0
000168982 0247_ $$2doi$$a10.1093/jncics/pkab029
000168982 0247_ $$2pmid$$apmid:34041438
000168982 0247_ $$2pmc$$apmc:PMC8134523
000168982 0247_ $$2altmetric$$aaltmetric:106140129
000168982 037__ $$aDKFZ-2021-01178
000168982 041__ $$aEnglish
000168982 082__ $$a610
000168982 1001_ $$00000-0002-5397-8163$$aArchambault, Alexi N$$b0
000168982 245__ $$aNongenetic Determinants of Risk for Early-Onset Colorectal Cancer.
000168982 260__ $$aOxford$$bOxford University Press$$c2021
000168982 3367_ $$2DRIVER$$aarticle
000168982 3367_ $$2DataCite$$aOutput Types/Journal article
000168982 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1624884118_814
000168982 3367_ $$2BibTeX$$aARTICLE
000168982 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000168982 3367_ $$00$$2EndNote$$aJournal Article
000168982 520__ $$aIncidence of early-onset (younger than 50 years of age) colorectal cancer (CRC) is increasing in many countries. Thus, elucidating the role of traditional CRC risk factors in early-onset CRC is a high priority. We sought to determine whether risk factors associated with late-onset CRC were also linked to early-onset CRC and whether association patterns differed by anatomic subsite.Using data pooled from 13 population-based studies, we studied 3767 CRC cases and 4049 controls aged younger than 50 years and 23 437 CRC cases and 35 311 controls aged 50 years and older. Using multivariable and multinomial logistic regression, we estimated odds ratios (ORs) and 95% confidence intervals (CIs) to assess the association between risk factors and early-onset CRC and by anatomic subsite.Early-onset CRC was associated with not regularly using nonsteroidal anti-inflammatory drugs (OR = 1.43, 95% CI = 1.21 to 1.68), greater red meat intake (OR = 1.10, 95% CI = 1.04 to 1.16), lower educational attainment (OR = 1.10, 95% CI = 1.04 to 1.16), alcohol abstinence (OR = 1.23, 95% CI = 1.08 to 1.39), and heavier alcohol use (OR = 1.25, 95% CI = 1.04 to 1.50). No factors exhibited a greater excess in early-onset compared with late-onset CRC. Evaluating risks by anatomic subsite, we found that lower total fiber intake was linked more strongly to rectal (OR = 1.30, 95% CI = 1.14 to 1.48) than colon cancer (OR = 1.14, 95% CI = 1.02 to 1.27; P = .04).In this large study, we identified several nongenetic risk factors associated with early-onset CRC, providing a basis for targeted identification of those most at risk, which is imperative in mitigating the rising burden of this disease.
000168982 536__ $$0G:(DE-HGF)POF4-313$$a313 - Krebsrisikofaktoren und Prävention (POF4-313)$$cPOF4-313$$fPOF IV$$x0
000168982 588__ $$aDataset connected to CrossRef, PubMed, , Journals: inrepo01.inet.dkfz-heidelberg.de
000168982 7001_ $$aLin, Yi$$b1
000168982 7001_ $$00000-0001-7003-3412$$aJeon, Jihyoun$$b2
000168982 7001_ $$00000-0002-4173-7530$$aHarrison, Tabitha A$$b3
000168982 7001_ $$00000-0002-8752-8785$$aBishop, D Timothy$$b4
000168982 7001_ $$0P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aBrenner, Hermann$$b5$$udkfz
000168982 7001_ $$aCasey, Graham$$b6
000168982 7001_ $$aChan, Andrew T$$b7
000168982 7001_ $$0P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253$$aChang-Claude, Jenny$$b8$$udkfz
000168982 7001_ $$00000-0002-2452-3194$$aFigueiredo, Jane C$$b9
000168982 7001_ $$aGallinger, Steven$$b10
000168982 7001_ $$00000-0001-8656-7822$$aGruber, Stephen B$$b11
000168982 7001_ $$00000-0001-5472-6761$$aGunter, Marc J$$b12
000168982 7001_ $$0P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f$$aHoffmeister, Michael$$b13$$udkfz
000168982 7001_ $$00000-0002-8964-6160$$aJenkins, Mark A$$b14
000168982 7001_ $$aKeku, Temitope O$$b15
000168982 7001_ $$aMarchand, Loïc Le$$b16
000168982 7001_ $$aLi, Li$$b17
000168982 7001_ $$00000-0002-2818-5487$$aMoreno, Victor$$b18
000168982 7001_ $$aNewcomb, Polly A$$b19
000168982 7001_ $$00000-0002-2692-221X$$aPai, Rish$$b20
000168982 7001_ $$aParfrey, Patrick S$$b21
000168982 7001_ $$00000-0002-8512-068X$$aRennert, Gad$$b22
000168982 7001_ $$00000-0002-0900-5735$$aSakoda, Lori C$$b23
000168982 7001_ $$aSandler, Robert S$$b24
000168982 7001_ $$aSlattery, Martha L$$b25
000168982 7001_ $$00000-0002-1324-0316$$aSong, Mingyang$$b26
000168982 7001_ $$00000-0002-2794-5261$$aWin, Aung Ko$$b27
000168982 7001_ $$00000-0001-8180-418X$$aWoods, Michael O$$b28
000168982 7001_ $$aMurphy, Neil$$b29
000168982 7001_ $$00000-0002-5549-2036$$aCampbell, Peter T$$b30
000168982 7001_ $$aSu, Yu-Ru$$b31
000168982 7001_ $$aZeleniuch-Jacquotte, Anne$$b32
000168982 7001_ $$00000-0002-4160-421X$$aLiang, Peter S$$b33
000168982 7001_ $$aDu, Mengmeng$$b34
000168982 7001_ $$aHsu, Li$$b35
000168982 7001_ $$aPeters, Ulrike$$b36
000168982 7001_ $$00000-0002-0918-661X$$aHayes, Richard B$$b37
000168982 773__ $$0PERI:(DE-600)2975772-1$$a10.1093/jncics/pkab029$$gVol. 5, no. 3, p. pkab029$$n3$$ppkab029$$tJNCI cancer spectrum$$v5$$x2515-5091$$y2021
000168982 909CO $$ooai:inrepo02.dkfz.de:168982$$pVDB
000168982 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aDeutsches Krebsforschungszentrum$$b5$$kDKFZ
000168982 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253$$aDeutsches Krebsforschungszentrum$$b8$$kDKFZ
000168982 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f$$aDeutsches Krebsforschungszentrum$$b13$$kDKFZ
000168982 9130_ $$0G:(DE-HGF)POF3-313$$1G:(DE-HGF)POF3-310$$2G:(DE-HGF)POF3-300$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vCancer risk factors and prevention$$x0
000168982 9131_ $$0G:(DE-HGF)POF4-313$$1G:(DE-HGF)POF4-310$$2G:(DE-HGF)POF4-300$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vKrebsrisikofaktoren und Prävention$$x0
000168982 9141_ $$y2021
000168982 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2020-09-11
000168982 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central$$d2020-09-11
000168982 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2020-09-11
000168982 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2020-09-11
000168982 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Blind peer review$$d2020-09-11
000168982 915__ $$0LIC:(DE-HGF)CCBYNCNDNV$$2V:(DE-HGF)$$aCreative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND (No Version)$$bDOAJ$$d2020-09-11
000168982 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2020-09-11
000168982 915__ $$0StatID:(DE-HGF)0112$$2StatID$$aWoS$$bEmerging Sources Citation Index$$d2020-09-11
000168982 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2020-09-11
000168982 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2020-09-11
000168982 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2020-09-11
000168982 9201_ $$0I:(DE-He78)C070-20160331$$kC070$$lC070 Klinische Epidemiologie und Alternf.$$x0
000168982 9201_ $$0I:(DE-He78)C120-20160331$$kC120$$lPräventive Onkologie$$x1
000168982 9201_ $$0I:(DE-He78)HD01-20160331$$kHD01$$lDKTK HD zentral$$x2
000168982 9201_ $$0I:(DE-He78)C020-20160331$$kC020$$lC020 Epidemiologie von Krebs$$x3
000168982 980__ $$ajournal
000168982 980__ $$aVDB
000168982 980__ $$aI:(DE-He78)C070-20160331
000168982 980__ $$aI:(DE-He78)C120-20160331
000168982 980__ $$aI:(DE-He78)HD01-20160331
000168982 980__ $$aI:(DE-He78)C020-20160331
000168982 980__ $$aUNRESTRICTED