000120516 001__ 120516 000120516 005__ 20240228145450.0 000120516 0247_ $$2doi$$a10.1080/2162402X.2017.1279777 000120516 0247_ $$2pmid$$apmid:28405504 000120516 0247_ $$2pmc$$apmc:PMC5384369 000120516 0247_ $$2ISSN$$a2162-4011 000120516 0247_ $$2ISSN$$a2162-402X 000120516 0247_ $$2altmetric$$aaltmetric:18831003 000120516 037__ $$aDKFZ-2017-00945 000120516 041__ $$aeng 000120516 082__ $$a610 000120516 1001_ $$0P:(DE-HGF)0$$aBudczies, Jan$$b0$$eFirst author 000120516 245__ $$aPD-L1 (CD274) copy number gain, expression, and immune cell infiltration as candidate predictors for response to immune checkpoint inhibitors in soft-tissue sarcoma. 000120516 260__ $$aAustin, Tex.$$bLandes Bioscience$$c2017 000120516 3367_ $$2DRIVER$$aarticle 000120516 3367_ $$2DataCite$$aOutput Types/Journal article 000120516 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1533026325_1657 000120516 3367_ $$2BibTeX$$aARTICLE 000120516 3367_ $$2ORCID$$aJOURNAL_ARTICLE 000120516 3367_ $$00$$2EndNote$$aJournal Article 000120516 520__ $$aSoft-tissue sarcomas (STS) are rare malignancies that account for 1% of adult cancers and comprise more than 50 entities. Current therapeutic options for advanced-stage STS are limited. Immune checkpoint inhibitors targeting the PD-1/PD-L1 signaling axis are being explored as new treatment modality in STS; however, the determinants of response to these agents are largely unknown. Using the sarcoma data set of The Cancer Genome Altas (TCGA) and an independent cohort of untreated high-grade STS, we analyzed DNA copy number status and mRNA expression of PD-L1 in a total of 335 STS cases. Copy number gains (CNG) were detected in 54 TCGA cases (21.1%), of which 21 (8.2%) harbored focal PD-L1 CNG and that were most prevalent in myxofibrosarcoma (35%) and undifferentiated pleomorphic sarcoma (34%). In the untreated high-grade STS cohort, we detected CNG in six cases (7.6%). Analysis of co-amplified genes identified a 5.6-Mb core region comprising 27 genes, including JAK2. Patients with PD-L1 CNG had higher PD-L1 expression compared with STS without CNG (fold change, 1.8; p = 0.02), an effect that was most pronounced in the setting of focal PD-L1 CNG (fold change, 3.0; p = 0.0027). STS with PD-L1 CNG showed a significantly higher mutational load compared with tumors with a diploid PD-L1 locus (median number of mutated genes; 58 vs. 40; p = 3.6E-06), and PD-L1 CNG were associated with inferior survival (HR = 1.82; p = 0.025). In contrast, T-cell infiltrates quantified by mRNA expression of CD3Z were associated with improved survival (HR = 0.88; p = 0.024) and consequently influenced the prognostic power of PD-L1 CNG, with low CD3Z levels conferring poor survival in cases with PD-L1 CNG (HR = 1.8; p = 0.049). These data demonstrate that PD-L1 GNG and elevated expression of PD-L1 occur in a substantial proportion of STS, have prognostic impact that is modulated by T-cell infiltrates, and thus warrant investigation as response predictors for immune checkpoint inhibition. 000120516 536__ $$0G:(DE-HGF)POF3-317$$a317 - Translational cancer research (POF3-317)$$cPOF3-317$$fPOF III$$x0 000120516 588__ $$aDataset connected to CrossRef, PubMed, 000120516 7001_ $$aMechtersheimer, Gunhild$$b1 000120516 7001_ $$0P:(DE-HGF)0$$aDenkert, Carsten$$b2 000120516 7001_ $$aKlauschen, Frederick$$b3 000120516 7001_ $$00000-0003-3468-8467$$aMughal, Sadaf S$$b4 000120516 7001_ $$00000-0002-0754-4436$$aChudasama, Priya$$b5 000120516 7001_ $$00000-0002-9249-4292$$aBockmayr, Michael$$b6 000120516 7001_ $$aJöhrens, Korinna$$b7 000120516 7001_ $$aEndris, Volker$$b8 000120516 7001_ $$aLier, Amelie$$b9 000120516 7001_ $$aLasitschka, Felix$$b10 000120516 7001_ $$aPenzel, Roland$$b11 000120516 7001_ $$0P:(DE-HGF)0$$aDietel, Manfred$$b12 000120516 7001_ $$0P:(DE-He78)fc949170377b58098e46141d95c72661$$aBrors, Benedikt$$b13$$udkfz 000120516 7001_ $$0P:(DE-He78)5120a331b1c28045c8ca6a8b1c73c95f$$aGröschel, Stefan$$b14$$udkfz 000120516 7001_ $$0P:(DE-He78)157277fe62f07df1732f9d126a51d1b9$$aGlimm, Hanno$$b15$$udkfz 000120516 7001_ $$0P:(DE-HGF)0$$aSchirmacher, Peter$$b16 000120516 7001_ $$aRenner, Marcus$$b17 000120516 7001_ $$0P:(DE-He78)f0144d171d26dbedb67c9db1df35629d$$aFröhling, Stefan$$b18$$udkfz 000120516 7001_ $$0P:(DE-HGF)0$$aStenzinger, Albrecht$$b19$$eLast author 000120516 773__ $$0PERI:(DE-600)2645309-5$$a10.1080/2162402X.2017.1279777$$gVol. 6, no. 3, p. e1279777 -$$n3$$pe1279777 -$$tOncoImmunology$$v6$$x2162-402X$$y2017 000120516 909CO $$ooai:inrepo02.dkfz.de:120516$$pVDB 000120516 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b0$$kDKFZ 000120516 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b2$$kDKFZ 000120516 9101_ $$0I:(DE-588b)2036810-0$$60000-0002-0754-4436$$aDeutsches Krebsforschungszentrum$$b5$$kDKFZ 000120516 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b12$$kDKFZ 000120516 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)fc949170377b58098e46141d95c72661$$aDeutsches Krebsforschungszentrum$$b13$$kDKFZ 000120516 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)5120a331b1c28045c8ca6a8b1c73c95f$$aDeutsches Krebsforschungszentrum$$b14$$kDKFZ 000120516 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)157277fe62f07df1732f9d126a51d1b9$$aDeutsches Krebsforschungszentrum$$b15$$kDKFZ 000120516 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b16$$kDKFZ 000120516 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)f0144d171d26dbedb67c9db1df35629d$$aDeutsches Krebsforschungszentrum$$b18$$kDKFZ 000120516 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b19$$kDKFZ 000120516 9131_ $$0G:(DE-HGF)POF3-317$$1G:(DE-HGF)POF3-310$$2G:(DE-HGF)POF3-300$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vTranslational cancer research$$x0 000120516 9141_ $$y2017 000120516 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bONCOIMMUNOLOGY : 2015 000120516 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS 000120516 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline 000120516 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database 000120516 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List 000120516 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded 000120516 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection 000120516 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews 000120516 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bONCOIMMUNOLOGY : 2015 000120516 9201_ $$0I:(DE-He78)G100-20160331$$kG100$$lTranslationale Onkologie$$x0 000120516 9201_ $$0I:(DE-He78)G200-20160331$$kG200$$lAngewandte Bioinformatik$$x1 000120516 9201_ $$0I:(DE-He78)G240-20160331$$kG240$$lMolekulare Leukämogenese$$x2 000120516 9201_ $$0I:(DE-He78)L201-20160331$$kL201$$lDKTK Berlin$$x3 000120516 9201_ $$0I:(DE-He78)L101-20160331$$kL101$$lDKTK Heidelberg$$x4 000120516 980__ $$ajournal 000120516 980__ $$aVDB 000120516 980__ $$aI:(DE-He78)G100-20160331 000120516 980__ $$aI:(DE-He78)G200-20160331 000120516 980__ $$aI:(DE-He78)G240-20160331 000120516 980__ $$aI:(DE-He78)L201-20160331 000120516 980__ $$aI:(DE-He78)L101-20160331 000120516 980__ $$aUNRESTRICTED