000291257 001__ 291257
000291257 005__ 20250820131942.0
000291257 0247_ $$2doi$$a10.1016/j.ebiom.2024.105223
000291257 0247_ $$2pmid$$apmid:38917511
000291257 037__ $$aDKFZ-2024-01343
000291257 041__ $$aEnglish
000291257 082__ $$a610
000291257 1001_ $$0P:(DE-He78)b9e439a1aa1244925f92d547c0919349$$aYuan, Tanwei$$b0$$eFirst author$$udkfz
000291257 245__ $$aLarge-scale external validation and meta-analysis of gene methylation biomarkers in tumor tissue for colorectal cancer prognosis.
000291257 260__ $$aAmsterdam [u.a.]$$bElsevier$$c2024
000291257 3367_ $$2DRIVER$$aarticle
000291257 3367_ $$2DataCite$$aOutput Types/Journal article
000291257 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1719407480_30820
000291257 3367_ $$2BibTeX$$aARTICLE
000291257 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000291257 3367_ $$00$$2EndNote$$aJournal Article
000291257 500__ $$a#EA:C070#LA:C070#
000291257 520__ $$aDNA methylation biomarkers in colorectal cancer (CRC) tissue hold potential as prognostic indicators. However, individual studies have yielded heterogeneous results, and external validation is largely absent. We conducted a comprehensive external validation and meta-analysis of previously suggested gene methylation biomarkers for CRC prognosis.We performed a systematic search to identify relevant studies investigating gene methylation biomarkers for CRC prognosis until March 2024. Our external validation cohort with long-term follow-up included 2303 patients with CRC from 22 hospitals in southwest Germany. We used Cox regression analyses to assess associations between previously suggested gene methylation biomarkers and prognosis, adjusting for clinical variables. We calculated pooled hazard ratios (HRs) and their 95% confidence intervals (CIs) using random-effects models.Of 151 single gene and 29 multiple gene methylation biomarkers identified from 121 studies, 37 single gene and seven multiple gene biomarkers were significantly associated with CRC prognosis after adjustment for clinical variables. Moreover, the directions of these associations with prognosis remained consistent between the original studies and our validation analyses. Seven single biomarkers and two multi-biomarker signatures were significantly associated with CRC prognosis in the meta-analysis, with a relatively strong level of evidence for CDKN2A, WNT5A, MLH1, and EVL.In a comprehensive evaluation of the so far identified gene methylation biomarkers for CRC prognosis, we identified candidates with potential clinical relevance for further investigation.The German Research Council, the Interdisciplinary Research Program of the National Center for Tumor Diseases (NCT), Germany, the German Federal Ministry of Education and Research.
000291257 536__ $$0G:(DE-HGF)POF4-313$$a313 - Krebsrisikofaktoren und Prävention (POF4-313)$$cPOF4-313$$fPOF IV$$x0
000291257 588__ $$aDataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
000291257 650_7 $$2Other$$aColorectal cancer
000291257 650_7 $$2Other$$aExternal validation
000291257 650_7 $$2Other$$aGene methylation biomarkers
000291257 650_7 $$2Other$$aMeta-analysis
000291257 650_7 $$2Other$$aPrognosis
000291257 7001_ $$0P:(DE-He78)b1b2f6c878545eac4cbd9729d8c10b7d$$aWankhede, Durgesh$$b1$$udkfz
000291257 7001_ $$0P:(DE-He78)92820b4867c955a04f642707ecf35b40$$aEdelmann, Dominic$$b2$$udkfz
000291257 7001_ $$aKather, Jakob Nikolas$$b3
000291257 7001_ $$aTagscherer, Katrin E$$b4
000291257 7001_ $$aRoth, Wilfried$$b5
000291257 7001_ $$0P:(DE-He78)7999346780553d7fab7ba69d5afdfa71$$aBewerunge-Hudler, Melanie$$b6$$udkfz
000291257 7001_ $$aBrobeil, Alexander$$b7
000291257 7001_ $$aKloor, Matthias$$b8
000291257 7001_ $$aBläker, Hendrik$$b9
000291257 7001_ $$0P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aBrenner, Hermann$$b10$$udkfz
000291257 7001_ $$0P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f$$aHoffmeister, Michael$$b11$$eLast author$$udkfz
000291257 773__ $$0PERI:(DE-600)2799017-5$$a10.1016/j.ebiom.2024.105223$$gVol. 105, p. 105223 -$$p105223$$tEBioMedicine$$v105$$x2352-3964$$y2024
000291257 8564_ $$uhttps://inrepo02.dkfz.de/record/291257/files/1-s2.0-S2352396424002585-main.pdf
000291257 8564_ $$uhttps://inrepo02.dkfz.de/record/291257/files/1-s2.0-S2352396424002585-main.pdf?subformat=pdfa$$xpdfa
000291257 8767_ $$8E-2024-00545-b$$92024-09-21$$d2024-12-27$$eAPC$$jZahlung erfolgt
000291257 909CO $$ooai:inrepo02.dkfz.de:291257$$popenCost$$pOpenAPC$$pVDB
000291257 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)b9e439a1aa1244925f92d547c0919349$$aDeutsches Krebsforschungszentrum$$b0$$kDKFZ
000291257 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)b1b2f6c878545eac4cbd9729d8c10b7d$$aDeutsches Krebsforschungszentrum$$b1$$kDKFZ
000291257 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)92820b4867c955a04f642707ecf35b40$$aDeutsches Krebsforschungszentrum$$b2$$kDKFZ
000291257 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)7999346780553d7fab7ba69d5afdfa71$$aDeutsches Krebsforschungszentrum$$b6$$kDKFZ
000291257 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aDeutsches Krebsforschungszentrum$$b10$$kDKFZ
000291257 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f$$aDeutsches Krebsforschungszentrum$$b11$$kDKFZ
000291257 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
000291257 9141_ $$y2024
000291257 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bEBIOMEDICINE : 2022$$d2023-08-26
000291257 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2023-08-26
000291257 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2023-08-26
000291257 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central$$d2023-08-26
000291257 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2023-05-02T08:51:17Z
000291257 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2023-05-02T08:51:17Z
000291257 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Anonymous peer review$$d2023-05-02T08:51:17Z
000291257 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2023-08-26
000291257 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2023-08-26
000291257 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2023-08-26
000291257 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2023-08-26
000291257 915__ $$0StatID:(DE-HGF)9910$$2StatID$$aIF >= 10$$bEBIOMEDICINE : 2022$$d2023-08-26
000291257 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2023-08-26
000291257 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2023-08-26
000291257 915pc $$0PC:(DE-HGF)0000$$2APC$$aAPC keys set
000291257 915pc $$0PC:(DE-HGF)0001$$2APC$$aLocal Funding
000291257 915pc $$0PC:(DE-HGF)0002$$2APC$$aDFG OA Publikationskosten
000291257 915pc $$0PC:(DE-HGF)0125$$2APC$$aDEAL: Elsevier 09/01/2023
000291257 915pc $$0PC:(DE-HGF)0003$$2APC$$aDOAJ Journal
000291257 9202_ $$0I:(DE-He78)C070-20160331$$kC070$$lC070 Klinische Epidemiologie und Alternf.$$x0
000291257 9201_ $$0I:(DE-He78)C070-20160331$$kC070$$lC070 Klinische Epidemiologie und Alternf.$$x0
000291257 9201_ $$0I:(DE-He78)C060-20160331$$kC060$$lC060 Biostatistik$$x1
000291257 9201_ $$0I:(DE-He78)W110-20160331$$kW110$$lMicroarrays$$x2
000291257 9201_ $$0I:(DE-He78)HD01-20160331$$kHD01$$lDKTK HD zentral$$x3
000291257 9200_ $$0I:(DE-He78)C070-20160331$$kC070$$lC070 Klinische Epidemiologie und Alternf.$$x0
000291257 980__ $$ajournal
000291257 980__ $$aVDB
000291257 980__ $$aI:(DE-He78)C070-20160331
000291257 980__ $$aI:(DE-He78)C060-20160331
000291257 980__ $$aI:(DE-He78)W110-20160331
000291257 980__ $$aI:(DE-He78)HD01-20160331
000291257 980__ $$aUNRESTRICTED
000291257 980__ $$aAPC