000285382 001__ 285382
000285382 005__ 20240229155109.0
000285382 0247_ $$2doi$$a10.1016/j.critrevonc.2023.104199
000285382 0247_ $$2pmid$$apmid:37952858
000285382 0247_ $$2ISSN$$a0737-9587
000285382 0247_ $$2ISSN$$a1040-8428
000285382 0247_ $$2ISSN$$a1879-0461
000285382 0247_ $$2altmetric$$aaltmetric:156395296
000285382 037__ $$aDKFZ-2023-02351
000285382 041__ $$aEnglish
000285382 082__ $$a610
000285382 1001_ $$0P:(DE-He78)b9e439a1aa1244925f92d547c0919349$$aYuan, Tanwei$$b0$$eFirst author
000285382 245__ $$aCpG-biomarkers in tumor tissue and prediction models for the survival of colorectal cancer: a systematic review and external validation study.
000285382 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2024
000285382 3367_ $$2DRIVER$$aarticle
000285382 3367_ $$2DataCite$$aOutput Types/Journal article
000285382 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1703148841_3537$$xReview Article
000285382 3367_ $$2BibTeX$$aARTICLE
000285382 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000285382 3367_ $$00$$2EndNote$$aJournal Article
000285382 500__ $$a#EA:C070#LA:C070# / Volume 193, January 2024, 104199 /  KST: F210 as Contributor
000285382 520__ $$aThe research aimed to identify CpG-methylation-based prognostic biomarkers and prediction models for colorectal cancer (CRC) prognosis and validate them in a large external cohort. A systematic search was conducted, analyzing 298 unique CpGs and 12 CpG-based prognostic models from 28 studies. After adjustment for clinical variables, 48 CpGs and five prognostic models were confirmed to be associated with survival. However, the discrimination ability of the models was insufficient, with area under the receiver operating characteristic curves ranging from 0.53 to 0.62. Calibration accuracy was mostly poor, and no significant added prognostic value beyond traditional clinical variables was observed. All prognostic models were also rated at high risk of bias. While a fraction of CpGs showed potential clinical utility and generalizability, the CpG-based prognostic models performed poorly and lacked clinical relevance.
000285382 536__ $$0G:(DE-HGF)POF4-313$$a313 - Krebsrisikofaktoren und Prävention (POF4-313)$$cPOF4-313$$fPOF IV$$x0
000285382 588__ $$aDataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
000285382 650_7 $$2Other$$aDNA methylation
000285382 650_7 $$2Other$$abiomarkers
000285382 650_7 $$2Other$$acolorectal cancer
000285382 650_7 $$2Other$$aexternal validation
000285382 650_7 $$2Other$$aprognosis
000285382 7001_ $$0P:(DE-He78)92820b4867c955a04f642707ecf35b40$$aEdelmann, Dominic$$b1
000285382 7001_ $$aKather, Jakob N$$b2
000285382 7001_ $$0P:(DE-He78)79862c68074f8d78156f06f6e3c9801c$$aFan, Ziwen$$b3
000285382 7001_ $$aTagscherer, Katrin E$$b4
000285382 7001_ $$aRoth, Wilfried$$b5
000285382 7001_ $$0P:(DE-He78)7999346780553d7fab7ba69d5afdfa71$$aBewerunge-Hudler, Melanie$$b6
000285382 7001_ $$aBrobeil, Alexander$$b7
000285382 7001_ $$0P:(DE-He78)028ee60cca729028708496826f077b58$$aKloor, Matthias$$b8$$udkfz
000285382 7001_ $$aBläker, Hendrik$$b9
000285382 7001_ $$0P:(DE-He78)15b7fd2bc02d5ef47a2fe2dd0140d2bf$$aBurwinkel, Barbara$$b10
000285382 7001_ $$0P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aBrenner, Hermann$$b11
000285382 7001_ $$0P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f$$aHoffmeister, Michael$$b12$$eLast author
000285382 773__ $$0PERI:(DE-600)2025731-4$$a10.1016/j.critrevonc.2023.104199$$gp. 104199 -$$p104199$$tCritical reviews in oncology, hematology$$v193$$x0737-9587$$y2024
000285382 909CO $$ooai:inrepo02.dkfz.de:285382$$pVDB
000285382 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)b9e439a1aa1244925f92d547c0919349$$aDeutsches Krebsforschungszentrum$$b0$$kDKFZ
000285382 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)92820b4867c955a04f642707ecf35b40$$aDeutsches Krebsforschungszentrum$$b1$$kDKFZ
000285382 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)79862c68074f8d78156f06f6e3c9801c$$aDeutsches Krebsforschungszentrum$$b3$$kDKFZ
000285382 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)7999346780553d7fab7ba69d5afdfa71$$aDeutsches Krebsforschungszentrum$$b6$$kDKFZ
000285382 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)028ee60cca729028708496826f077b58$$aDeutsches Krebsforschungszentrum$$b8$$kDKFZ
000285382 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)15b7fd2bc02d5ef47a2fe2dd0140d2bf$$aDeutsches Krebsforschungszentrum$$b10$$kDKFZ
000285382 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aDeutsches Krebsforschungszentrum$$b11$$kDKFZ
000285382 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f$$aDeutsches Krebsforschungszentrum$$b12$$kDKFZ
000285382 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
000285382 9141_ $$y2023
000285382 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2023-10-24$$wger
000285382 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bCRIT REV ONCOL HEMAT : 2022$$d2023-10-24
000285382 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2023-10-24
000285382 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2023-10-24
000285382 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2023-10-24
000285382 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2023-10-24
000285382 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2023-10-24
000285382 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2023-10-24
000285382 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2023-10-24
000285382 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2023-10-24
000285382 915__ $$0StatID:(DE-HGF)1120$$2StatID$$aDBCoverage$$bBIOSIS Reviews Reports And Meetings$$d2023-10-24
000285382 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2023-10-24
000285382 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2023-10-24
000285382 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bCRIT REV ONCOL HEMAT : 2022$$d2023-10-24
000285382 9202_ $$0I:(DE-He78)C070-20160331$$kC070$$lC070 Klinische Epidemiologie und Alternf.$$x0
000285382 9201_ $$0I:(DE-He78)C070-20160331$$kC070$$lC070 Klinische Epidemiologie und Alternf.$$x0
000285382 9201_ $$0I:(DE-He78)C120-20160331$$kC120$$lPräventive Onkologie$$x1
000285382 9201_ $$0I:(DE-He78)HD01-20160331$$kHD01$$lDKTK HD zentral$$x2
000285382 9201_ $$0I:(DE-He78)C060-20160331$$kC060$$lC060 Biostatistik$$x3
000285382 9201_ $$0I:(DE-He78)W110-20160331$$kW110$$lMicroarrays$$x4
000285382 9201_ $$0I:(DE-He78)C080-20160331$$kC080$$lMolekulare Epidemiologie$$x5
000285382 9201_ $$0I:(DE-He78)F210-20160331$$kF210$$lKKE Angewandte Tumorbiologie$$x6
000285382 9200_ $$0I:(DE-He78)C070-20160331$$kC070$$lC070 Klinische Epidemiologie und Alternf.$$x0
000285382 980__ $$ajournal
000285382 980__ $$aVDB
000285382 980__ $$aI:(DE-He78)C070-20160331
000285382 980__ $$aI:(DE-He78)C120-20160331
000285382 980__ $$aI:(DE-He78)HD01-20160331
000285382 980__ $$aI:(DE-He78)C060-20160331
000285382 980__ $$aI:(DE-He78)W110-20160331
000285382 980__ $$aI:(DE-He78)C080-20160331
000285382 980__ $$aI:(DE-He78)F210-20160331
000285382 980__ $$aUNRESTRICTED