000144343 001__ 144343
000144343 005__ 20240229112620.0
000144343 0247_ $$2doi$$a10.1002/ijc.32146
000144343 0247_ $$2pmid$$apmid:30665271
000144343 0247_ $$2pmc$$apmc:PMC6614008
000144343 0247_ $$2ISSN$$a0020-7136
000144343 0247_ $$2ISSN$$a1097-0215
000144343 0247_ $$2altmetric$$aaltmetric:54285378
000144343 037__ $$aDKFZ-2019-01796
000144343 041__ $$aeng
000144343 082__ $$a610
000144343 1001_ $$00000-0002-9272-7703$$aGeijsen, Anne J M R$$b0
000144343 245__ $$aPlasma metabolites associated with colorectal cancer: A discovery-replication strategy.
000144343 260__ $$aBognor Regis$$bWiley-Liss$$c2019
000144343 3367_ $$2DRIVER$$aarticle
000144343 3367_ $$2DataCite$$aOutput Types/Journal article
000144343 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1565012143_4274
000144343 3367_ $$2BibTeX$$aARTICLE
000144343 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000144343 3367_ $$00$$2EndNote$$aJournal Article
000144343 520__ $$aColorectal cancer is known to arise from multiple tumorigenic pathways; however, the underlying mechanisms remain not completely understood. Metabolomics is becoming an increasingly popular tool in assessing biological processes. Previous metabolomics research focusing on colorectal cancer is limited by sample size and did not replicate findings in independent study populations to verify robustness of reported findings. Here, we performed a ultrahigh performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS) screening on EDTA plasma from 268 colorectal cancer patients and 353 controls using independent discovery and replication sets from two European cohorts (ColoCare Study: n = 180 patients/n = 153 controls; the Colorectal Cancer Study of Austria (CORSA) n = 88 patients/n = 200 controls), aiming to identify circulating plasma metabolites associated with colorectal cancer and to improve knowledge regarding colorectal cancer etiology. Multiple logistic regression models were used to test the association between disease state and metabolic features. Statistically significant associated features in the discovery set were taken forward and tested in the replication set to assure robustness of our findings. All models were adjusted for sex, age, BMI and smoking status and corrected for multiple testing using False Discovery Rate. Demographic and clinical data were abstracted from questionnaires and medical records.
000144343 536__ $$0G:(DE-HGF)POF3-313$$a313 - Cancer risk factors and prevention (POF3-313)$$cPOF3-313$$fPOF III$$x0
000144343 588__ $$aDataset connected to CrossRef, PubMed,
000144343 7001_ $$00000-0001-5238-6900$$aBrezina, Stefanie$$b1
000144343 7001_ $$aKeski-Rahkonen, Pekka$$b2
000144343 7001_ $$aBaierl, Andreas$$b3
000144343 7001_ $$aBachleitner-Hofmann, Thomas$$b4
000144343 7001_ $$aBergmann, Michael M$$b5
000144343 7001_ $$aBoehm, Juergen$$b6
000144343 7001_ $$0P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aBrenner, Hermann$$b7$$udkfz
000144343 7001_ $$0P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253$$aChang-Claude, Jenny$$b8$$udkfz
000144343 7001_ $$avan Duijnhoven, Fränzel J B$$b9
000144343 7001_ $$aGigic, Biljana$$b10
000144343 7001_ $$aGumpenberger, Tanja$$b11
000144343 7001_ $$aHofer, Philipp$$b12
000144343 7001_ $$0P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f$$aHoffmeister, Michael$$b13$$udkfz
000144343 7001_ $$00000-0001-8001-8793$$aHolowatyj, Andreana N$$b14
000144343 7001_ $$aKarner-Hanusch, Judith$$b15
000144343 7001_ $$aKok, Dieuwertje E$$b16
000144343 7001_ $$aLeeb, Gernot$$b17
000144343 7001_ $$aUlvik, Arve$$b18
000144343 7001_ $$aRobinot, Nivonirina$$b19
000144343 7001_ $$aOse, Jennifer$$b20
000144343 7001_ $$aStift, Anton$$b21
000144343 7001_ $$0P:(DE-He78)01ef71f71b01a3ec3b698653fd43fe86$$aSchrotz-King, Petra$$b22$$udkfz
000144343 7001_ $$aUlrich, Alexis B$$b23
000144343 7001_ $$aUeland, Per Magne$$b24
000144343 7001_ $$aKampman, Ellen$$b25
000144343 7001_ $$aScalbert, Augustin$$b26
000144343 7001_ $$0P:(DE-HGF)0$$aHabermann, Nina$$b27
000144343 7001_ $$00000-0002-9795-1528$$aGsur, Andrea$$b28
000144343 7001_ $$00000-0001-7641-059X$$aUlrich, Cornelia M$$b29
000144343 773__ $$0PERI:(DE-600)1474822-8$$a10.1002/ijc.32146$$gVol. 145, no. 5, p. 1221 - 1231$$n5$$p1221 - 1231$$tInternational journal of cancer$$v145$$x0020-7136$$y2019
000144343 909CO $$ooai:inrepo02.dkfz.de:144343$$pVDB
000144343 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aDeutsches Krebsforschungszentrum$$b7$$kDKFZ
000144343 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253$$aDeutsches Krebsforschungszentrum$$b8$$kDKFZ
000144343 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f$$aDeutsches Krebsforschungszentrum$$b13$$kDKFZ
000144343 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)01ef71f71b01a3ec3b698653fd43fe86$$aDeutsches Krebsforschungszentrum$$b22$$kDKFZ
000144343 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b27$$kDKFZ
000144343 9131_ $$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$$x0
000144343 9141_ $$y2019
000144343 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz
000144343 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000144343 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000144343 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database
000144343 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bINT J CANCER : 2017
000144343 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List
000144343 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index
000144343 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000144343 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000144343 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences
000144343 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews
000144343 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bINT J CANCER : 2017
000144343 9201_ $$0I:(DE-He78)C120-20160331$$kC120$$lPräventive Onkologie$$x0
000144343 9201_ $$0I:(DE-He78)C070-20160331$$kC070$$lKlinische Epidemiologie und Alternsforschung$$x1
000144343 9201_ $$0I:(DE-He78)L101-20160331$$kL101$$lDKTK Heidelberg$$x2
000144343 9201_ $$0I:(DE-He78)C020-20160331$$kC020$$lEpidemiologie von Krebserkrankungen$$x3
000144343 980__ $$ajournal
000144343 980__ $$aVDB
000144343 980__ $$aI:(DE-He78)C120-20160331
000144343 980__ $$aI:(DE-He78)C070-20160331
000144343 980__ $$aI:(DE-He78)L101-20160331
000144343 980__ $$aI:(DE-He78)C020-20160331
000144343 980__ $$aUNRESTRICTED