000309972 001__ 309972
000309972 005__ 20260220120945.0
000309972 0247_ $$2doi$$a10.1038/s43018-026-01114-5
000309972 0247_ $$2pmid$$apmid:41708895
000309972 037__ $$aDKFZ-2026-00398
000309972 041__ $$aEnglish
000309972 082__ $$a610
000309972 1001_ $$00000-0002-7836-4379$$aGreenwald, Noah F$$b0
000309972 245__ $$aTemporal and spatial composition of the tumor microenvironment predicts response to immune checkpoint inhibition in metastatic TNBC.
000309972 260__ $$aLondon$$bNature Research$$c2026
000309972 3367_ $$2DRIVER$$aarticle
000309972 3367_ $$2DataCite$$aOutput Types/Journal article
000309972 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1771576747_3240617
000309972 3367_ $$2BibTeX$$aARTICLE
000309972 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000309972 3367_ $$00$$2EndNote$$aJournal Article
000309972 500__ $$aepub
000309972 520__ $$aImmune checkpoint inhibition (ICI) benefits only a subset of patients with metastatic triple-negative breast cancer and determinants of response remain unclear. We assembled a longitudinal cohort of 103 female patients from the phase 2 TONIC trial, with samples spanning primary tumors, pretreatment metastases and on-treatment metastases during nivolumab therapy. We profiled 37 proteins in 270 tumors using highly multiplexed imaging and developed SpaceCat, an open-source pipeline that extracts more than 800 imaging features per sample, including cell density, diversity, spatial interactions and functional marker expression. Metastatic but not primary tumors contained features predictive of outcome. Spatial metrics such as immune diversity and T cell infiltration at tumor borders were most informative, while ratios of T cells to cancer cells and PDL1 on myeloid cells were also associated with response. Multivariate models stratified patients with the highest performance on treatment (area under the curve = 0.90). Bulk RNA-seq confirmed the predictive value of on-treatment samples. These findings highlight the value of longitudinal profiling to resolve evolving tumor microenvironment dynamics driving ICI response.
000309972 536__ $$0G:(DE-HGF)POF4-314$$a314 - Immunologie und Krebs (POF4-314)$$cPOF4-314$$fPOF IV$$x0
000309972 588__ $$aDataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
000309972 7001_ $$00000-0001-7608-6515$$aNederlof, Iris$$b1
000309972 7001_ $$aSowers, Cameron$$b2
000309972 7001_ $$aDing, Daisy Yi$$b3
000309972 7001_ $$00000-0002-9236-5853$$aPark, Seongyeol$$b4
000309972 7001_ $$aKong, Alex$$b5
000309972 7001_ $$00000-0002-2273-2099$$aHoulahan, Kathleen E$$b6
000309972 7001_ $$00009-0000-5757-6818$$aVarra, Sricharan Reddy$$b7
000309972 7001_ $$ade Graaf, Manon$$b8
000309972 7001_ $$aGeurts, Veerle$$b9
000309972 7001_ $$aLiu, Candace C$$b10
000309972 7001_ $$00000-0002-0701-0565$$aRanek, Jolene S$$b11
000309972 7001_ $$aVoorwerk, Leonie$$b12
000309972 7001_ $$ade Maaker, Michiel$$b13
000309972 7001_ $$aKagel, Adam$$b14
000309972 7001_ $$aMcCaffrey, Erin$$b15
000309972 7001_ $$00000-0002-6459-6224$$aKhan, Aziz$$b16
000309972 7001_ $$00000-0003-4217-8555$$aYeh, Christine Yiwen$$b17
000309972 7001_ $$00000-0002-4924-591X$$aFullaway, Christine Camacho$$b18
000309972 7001_ $$aKhair, Zumana$$b19
000309972 7001_ $$00000-0002-7255-2766$$aSimon, Brennan G$$b20
000309972 7001_ $$aBai, Yunhao$$b21
000309972 7001_ $$aPiyadasa, Hadeesha$$b22
000309972 7001_ $$aRisom, Tyler$$b23
000309972 7001_ $$00000-0002-7959-3165$$aDelmastro, Alea$$b24
000309972 7001_ $$0P:(DE-He78)5cbf51db82a42b08a814f47dbc9412ca$$aHartmann, Felix$$b25$$udkfz
000309972 7001_ $$00000-0001-8309-0950$$aMangiante, Lise$$b26
000309972 7001_ $$00000-0001-8228-477X$$aSotomayor-Vivas, Cristina$$b27
000309972 7001_ $$00000-0003-1341-2453$$aBendall, Sean C$$b28
000309972 7001_ $$00000-0003-0517-8804$$aSchumacher, Ton N$$b29
000309972 7001_ $$aMa, Zhicheng$$b30
000309972 7001_ $$00000-0003-4912-8059$$aBosse, Marc$$b31
000309972 7001_ $$avan de Vijver, Marc J$$b32
000309972 7001_ $$aTibshirani, Robert$$b33
000309972 7001_ $$00000-0003-4782-8828$$aHorlings, Hugo M$$b34
000309972 7001_ $$00000-0003-0166-3802$$aCurtis, Christina$$b35
000309972 7001_ $$00000-0001-9043-9815$$aKok, Marleen$$b36
000309972 7001_ $$00000-0003-1531-5067$$aAngelo, Michael$$b37
000309972 773__ $$0PERI:(DE-600)3005299-3$$a10.1038/s43018-026-01114-5$$pnn$$tNature cancer$$vnn$$x2662-1347$$y2026
000309972 909CO $$ooai:inrepo02.dkfz.de:309972$$pVDB
000309972 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)5cbf51db82a42b08a814f47dbc9412ca$$aDeutsches Krebsforschungszentrum$$b25$$kDKFZ
000309972 9131_ $$0G:(DE-HGF)POF4-314$$1G:(DE-HGF)POF4-310$$2G:(DE-HGF)POF4-300$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vImmunologie und Krebs$$x0
000309972 9141_ $$y2026
000309972 915__ $$0StatID:(DE-HGF)0430$$2StatID$$aNational-Konsortium$$d2025-11-07$$wger
000309972 915__ $$0StatID:(DE-HGF)3003$$2StatID$$aDEAL Nature$$d2025-11-07$$wger
000309972 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bNAT CANCER : 2022$$d2025-11-07
000309972 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2025-11-07
000309972 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2025-11-07
000309972 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2025-11-07
000309972 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2025-11-07
000309972 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2025-11-07
000309972 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2025-11-07
000309972 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2025-11-07
000309972 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2025-11-07
000309972 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2025-11-07
000309972 915__ $$0StatID:(DE-HGF)9920$$2StatID$$aIF >= 20$$bNAT CANCER : 2022$$d2025-11-07
000309972 9201_ $$0I:(DE-He78)D260-20160331$$kD260$$lNWG Systemimmunologie und Einzelzell-Biologie$$x0
000309972 980__ $$ajournal
000309972 980__ $$aVDB
000309972 980__ $$aI:(DE-He78)D260-20160331
000309972 980__ $$aUNRESTRICTED