000182807 001__ 182807 000182807 005__ 20240229145731.0 000182807 0247_ $$2doi$$a10.1038/s41467-022-34815-3 000182807 0247_ $$2pmid$$apmid:36443295 000182807 0247_ $$2altmetric$$aaltmetric:139038617 000182807 037__ $$aDKFZ-2022-02939 000182807 041__ $$aEnglish 000182807 082__ $$a500 000182807 1001_ $$0P:(DE-HGF)0$$aJurmeister, Philipp$$b0 000182807 245__ $$aDNA methylation-based classification of sinonasal tumors. 000182807 260__ $$a[London]$$bNature Publishing Group UK$$c2022 000182807 3367_ $$2DRIVER$$aarticle 000182807 3367_ $$2DataCite$$aOutput Types/Journal article 000182807 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1669796807_18877 000182807 3367_ $$2BibTeX$$aARTICLE 000182807 3367_ $$2ORCID$$aJOURNAL_ARTICLE 000182807 3367_ $$00$$2EndNote$$aJournal Article 000182807 520__ $$aThe diagnosis of sinonasal tumors is challenging due to a heterogeneous spectrum of various differential diagnoses as well as poorly defined, disputed entities such as sinonasal undifferentiated carcinomas (SNUCs). In this study, we apply a machine learning algorithm based on DNA methylation patterns to classify sinonasal tumors with clinical-grade reliability. We further show that sinonasal tumors with SNUC morphology are not as undifferentiated as their current terminology suggests but rather reassigned to four distinct molecular classes defined by epigenetic, mutational and proteomic profiles. This includes two classes with neuroendocrine differentiation, characterized by IDH2 or SMARCA4/ARID1A mutations with an overall favorable clinical course, one class composed of highly aggressive SMARCB1-deficient carcinomas and another class with tumors that represent potentially previously misclassified adenoid cystic carcinomas. Our findings can aid in improving the diagnostic classification of sinonasal tumors and could help to change the current perception of SNUCs. 000182807 536__ $$0G:(DE-HGF)POF4-312$$a312 - Funktionelle und strukturelle Genomforschung (POF4-312)$$cPOF4-312$$fPOF IV$$x0 000182807 588__ $$aDataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de 000182807 7001_ $$aGlöß, Stefanie$$b1 000182807 7001_ $$0P:(DE-He78)213012d0f737dec4c4f4e1e61a02d74c$$aRoller, Renée Fabienne$$b2 000182807 7001_ $$aLeitheiser, Maximilian$$b3 000182807 7001_ $$0P:(DE-He78)6e4a8cc4eb35e694f95453ed8a927a83$$aSchmid, Simone$$b4$$udkfz 000182807 7001_ $$aMochmann, Liliana H$$b5 000182807 7001_ $$aPayá Capilla, Emma$$b6 000182807 7001_ $$aFritz, Rebecca$$b7 000182807 7001_ $$aDittmayer, Carsten$$b8 000182807 7001_ $$0P:(DE-He78)9c8b1020fb1925f5bc504b9e77769844$$aFriedrich, Corinna$$b9$$udkfz 000182807 7001_ $$0P:(DE-He78)21f693ba604e9286be3b25068b440d08$$aThieme, Anne$$b10$$udkfz 000182807 7001_ $$aKeyl, Philipp$$b11 000182807 7001_ $$aJarosch, Armin$$b12 000182807 7001_ $$aSchallenberg, Simon$$b13 000182807 7001_ $$aBläker, Hendrik$$b14 000182807 7001_ $$aHoffmann, Inga$$b15 000182807 7001_ $$0P:(DE-He78)ed973559beda9f54611a06471ba06776$$aVollbrecht, Claudia$$b16 000182807 7001_ $$aLehmann, Annika$$b17 000182807 7001_ $$0P:(DE-HGF)0$$aHummel, Michael$$b18 000182807 7001_ $$aHeim, Daniel$$b19 000182807 7001_ $$aHaji, Mohamed$$b20 000182807 7001_ $$0P:(DE-He78)b15b56a6ed37417d476470c60c0140ff$$aHarter, Patrick$$b21 000182807 7001_ $$00000-0002-1769-5393$$aEnglert, Benjamin$$b22 000182807 7001_ $$aFrank, Stephan$$b23 000182807 7001_ $$aHench, Jürgen$$b24 000182807 7001_ $$aPaulus, Werner$$b25 000182807 7001_ $$aHasselblatt, Martin$$b26 000182807 7001_ $$00000-0002-7609-5021$$aHartmann, Wolfgang$$b27 000182807 7001_ $$aDohmen, Hildegard$$b28 000182807 7001_ $$00000-0002-0539-7065$$aKeber, Ursula$$b29 000182807 7001_ $$00000-0001-7076-0476$$aJank, Paul$$b30 000182807 7001_ $$00000-0002-2249-0982$$aDenkert, Carsten$$b31 000182807 7001_ $$00000-0003-1766-5458$$aStadelmann, Christine$$b32 000182807 7001_ $$aBremmer, Felix$$b33 000182807 7001_ $$aRichter, Annika$$b34 000182807 7001_ $$0P:(DE-He78)32977c5abc127b0373ece54294a41f63$$aWefers, Annika$$b35 000182807 7001_ $$aRibbat-Idel, Julika$$b36 000182807 7001_ $$aPerner, Sven$$b37 000182807 7001_ $$aIdel, Christian$$b38 000182807 7001_ $$aChiariotti, Lorenzo$$b39 000182807 7001_ $$aDella Monica, Rosa$$b40 000182807 7001_ $$aMarinelli, Alfredo$$b41 000182807 7001_ $$00000-0002-8731-1121$$aSchüller, Ulrich$$b42 000182807 7001_ $$aBockmayr, Michael$$b43 000182807 7001_ $$aLiu, Jacklyn$$b44 000182807 7001_ $$aLund, Valerie J$$b45 000182807 7001_ $$aForster, Martin$$b46 000182807 7001_ $$00000-0002-7123-0773$$aLechner, Matt$$b47 000182807 7001_ $$aLorenzo-Guerra, Sara L$$b48 000182807 7001_ $$00000-0002-5959-6289$$aHermsen, Mario$$b49 000182807 7001_ $$aJohann, Pascal D$$b50 000182807 7001_ $$00000-0002-0445-8161$$aAgaimy, Abbas$$b51 000182807 7001_ $$00000-0002-4707-7991$$aSeegerer, Philipp$$b52 000182807 7001_ $$aKoch, Arend$$b53 000182807 7001_ $$00000-0001-9816-8917$$aHeppner, Frank$$b54 000182807 7001_ $$0P:(DE-He78)f746aa965c4e1af518b016de3aaff5d9$$aPfister, Stefan$$b55$$udkfz 000182807 7001_ $$0P:(DE-He78)551bb92841f634070997aa168d818492$$aJones, David$$b56$$udkfz 000182807 7001_ $$aSill, Martin$$b57 000182807 7001_ $$0P:(DE-He78)a8a10626a848d31e70cfd96a133cc144$$avon Deimling, Andreas$$b58$$udkfz 000182807 7001_ $$aSnuderl, Matija$$b59 000182807 7001_ $$aMüller, Klaus-Robert$$b60 000182807 7001_ $$aForgó, Erna$$b61 000182807 7001_ $$00000-0002-0309-6680$$aHowitt, Brooke E$$b62 000182807 7001_ $$00000-0002-2245-528X$$aMertins, Philipp$$b63 000182807 7001_ $$0P:(DE-HGF)0$$aKlauschen, Frederick$$b64 000182807 7001_ $$0P:(DE-He78)51bf9ae9cb5771b30c483e5597ef606c$$aCapper, David$$b65$$udkfz 000182807 773__ $$0PERI:(DE-600)2553671-0$$a10.1038/s41467-022-34815-3$$gVol. 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