Publication: Patient-derived resources for decoding and targeting brain metastases ecosystems
| dc.contributor.coauthor | Valiente, M. | |
| dc.contributor.coauthor | Aydoğan, L. E. | |
| dc.contributor.coauthor | Feigin, N. | |
| dc.contributor.coauthor | Gahn, C. | |
| dc.contributor.coauthor | Hernandez-Oliver, C. | |
| dc.contributor.coauthor | Milling, F. | |
| dc.contributor.coauthor | Ortega-Sabater, C. | |
| dc.contributor.coauthor | Priego, N. | |
| dc.contributor.coauthor | Ricci, A. A. | |
| dc.contributor.coauthor | Capella, G. | |
| dc.contributor.coauthor | Mangherini, L. | |
| dc.contributor.coauthor | Serrano-Ron, L. | |
| dc.contributor.coauthor | Stammberger, A. | |
| dc.contributor.coauthor | Vazquez-Canto, J. | |
| dc.contributor.coauthor | Weber, K. J. | |
| dc.contributor.coauthor | Wehner, R. | |
| dc.contributor.coauthor | Broggini, T. | |
| dc.contributor.coauthor | Czabanka, M. | |
| dc.contributor.coauthor | Al-Shahrour, F. | |
| dc.contributor.coauthor | Bertero, L. | |
| dc.contributor.coauthor | Schmitz, M. | |
| dc.contributor.coauthor | Tirosh, I. | |
| dc.contributor.coauthor | Medyouf, H. | |
| dc.contributor.coauthor | RISEBrain, C. | |
| dc.contributor.department | Graduate School of Sciences and Engineering | |
| dc.contributor.kuauthor | Ramazanoğlu, Serap Aksu | |
| dc.contributor.kuauthor | Öktem, Evren | |
| dc.contributor.schoolcollegeinstitute | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
| dc.date.accessioned | 2026-07-22T13:08:44Z | |
| dc.date.issued | 2026 | |
| dc.description.abstract | Brain metastases (BrM) affect up to 30% of patients with solid tumors, yet durable intracranial control remains rare, and the biological drivers of this poor prognosis are incompletely understood. Patient-derived resources, such as clinical cohorts, biobanks, functional ex vivo models, and multi-omic platforms, are central to closing this gap, but their generation and integration face substantial logistical and technical hurdles. Drawing on the RISEbrain consortium's experience, this Perspective examines BrM-focused cohorts and biobanks, highlighting the underused potential of rapid autopsy programs to capture early metastatic seeding. We discuss patient-derived organotypic cultures and emerging organoid-based "avatar" systems as functional platforms for therapeutic profiling, alongside the complementary strengths of bulk and single-cell/-nucleus transcriptomics. We outline how spatial transcriptomics and proteomics are resolving the architecture of the BrM microenvironment, and assess liquid biopsy approaches, including emerging photonic biosensors, for non-invasive monitoring. Together, these resources form an interdependent toolkit whose coordinated deployment will advance early detection, prevention, and precision treatment of BrM. | |
| dc.description.harvestedfrom | Manual | |
| dc.description.indexedby | WOS | |
| dc.description.indexedby | Scopus | |
| dc.description.indexedby | PubMed | |
| dc.description.publisherscope | International | |
| dc.description.readpublish | N/A | |
| dc.description.sponsoredbyTubitakEu | EU - TÜBİTAK | |
| dc.description.sponsorship | This work was in part supported by the ERA-NET TRANSCAN-3 Program co-funded by the European Commission and: the German Federal Ministry of Research, Technology and Space (grant numbers: 01KT2304 to HM and 01KT2304B to MS), the Italian Ministry of University and Research (grant number: D63C23000040001 to LB), Instituto de Salud Carlos III/NextGenerationEU/PRTR (grant number: AC22/00019 to MV) and FCAECC (grant number: TRNSC213878VALI to MV), the Scientific and Technological Research Council of Turkey (TUB & Idot;TAK; grant number 122N904 to SA) and the Israel Ministry of Health (grant number 3-18520 to IT). Additional support was provided by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through the Heisenberg Programme (ME 4214/4-1 to HM), "la Caixa" Foundation (HR23-00051 to MV), FCAECC (AECC Coordinados, PRYCO234528VALI to MV and FAS), and an ERC-CoG (864759 to MV). TB & MC received funding from the LOEWE Center Frankfurt Cancer Institute (FCI) [III L 5-519/03/03.001-(0015)], and the Else Kroener Fresenius Foundation. [Acknowledgements]: This work was in part supported by the ERA-NET TRANSCAN-3 Program co-funded by the European Commission and: the German Federal Ministry of Research, Technology and Space (grant numbers: 01KT2304 to HM and 01KT2304B to MS), the Italian Ministry of University and Research (grant number: D63C23000040001 to LB), Instituto de Salud Carlos III/NextGenerationEU/PRTR (grant number: AC22/00019 to MV) and FCAECC (grant number: TRNSC213878VALI to MV), the Scientific and Technological Research Council of Turkey (TÜBİTAK; grant number 122N904 to SA) and the Israel Ministry of Health (grant number 3-18520 to IT). Additional support was provided by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through the Heisenberg Programme (ME 4214/4-1 to HM), “la Caixa” Foundation (HR23-00051 to MV), FCAECC (AECC Coordinados, PRYCO234528VALI to MV and FAS), and an ERC-CoG (864759 to MV). TB & MC received funding from the LOEWE Center Frankfurt Cancer Institute (FCI) [III L 5–519/03/03.001-(0015)], and the Else Kroener Fresenius Foundation. | |
| dc.description.version | Published Version | |
| dc.identifier.ScopusPercentile | 90 | |
| dc.identifier.ScopusQuartile | Q1 | |
| dc.identifier.WoSPercentile | 87.2 | |
| dc.identifier.WoSQuartile | Q1 | |
| dc.identifier.doi | 10.1038/s44321-026-00472-y | |
| dc.identifier.eissn | 1757-4684 | |
| dc.identifier.embargo | N/A | |
| dc.identifier.grantno | 01KT2304 | |
| dc.identifier.grantno | 01KT2304b | |
| dc.identifier.grantno | D63C23000040001 | |
| dc.identifier.grantno | AC22/00019 | |
| dc.identifier.grantno | TRNSC213878VALI | |
| dc.identifier.grantno | PRYCO234528VALI | |
| dc.identifier.grantno | 122N904 | |
| dc.identifier.grantno | 3-18520 | |
| dc.identifier.grantno | ME 4214/4-1 | |
| dc.identifier.grantno | HR23-00051 | |
| dc.identifier.grantno | 864759 | |
| dc.identifier.grantno | III L 5-519/03/03.001-(0015) | |
| dc.identifier.issn | 1757-4676 | |
| dc.identifier.pubmed | 42399405 | |
| dc.identifier.scopus | 2-s2.0-105044220468 | |
| dc.identifier.uri | http://doi.org/10.1038/s44321-026-00472-y | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14288/33790 | |
| dc.identifier.wos | 001810619100001 | |
| dc.keywords | Software deployment | |
| dc.keywords | Interdependence | |
| dc.keywords | Proteomics | |
| dc.keywords | Perspective (graphical) | |
| dc.keywords | Ex vivo | |
| dc.keywords | Mechanism (biology) | |
| dc.keywords | Transcriptome | |
| dc.keywords | Closing (real estate) | |
| dc.language | eng | |
| dc.publisher | Springer | |
| dc.relation.affiliation | Koç University | |
| dc.relation.collection | Koç University Institutional Repository | |
| dc.relation.ispartof | Embo Molecular Medicine | |
| dc.subject | Health sciences | |
| dc.subject | Medicine | |
| dc.subject | Pulmonary and respiratory medicine | |
| dc.subject | Genetics | |
| dc.subject | Life sciences | |
| dc.subject | Biochemistry | |
| dc.subject | Genetics and molecular biology | |
| dc.subject | Molecular biology | |
| dc.title | Patient-derived resources for decoding and targeting brain metastases ecosystems | |
| dc.type | Journal Article | |
| dspace.entity.type | Publication | |
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