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July 5, 2026EMBO Molecular Medicine0 citationsOpen Access

Patient-derived resources for decoding and targeting brain metastases ecosystems

MVManuel ValienteSpanish National Cancer Research CentreLALal Era AydoğanRWTH Aachen UniversityNFNisan FeiginWeizmann Institute of Science

Key Points

  • This work aims to understand and improve the outcomes of brain metastases by leveraging patient-derived resources.
  • Discusses biobanks, clinical cohorts, and functional models derived from patients.
  • Highlights rapid autopsy programs to study early metastatic seeding.
  • Addresses spatial transcriptomics and liquid biopsy techniques for monitoring.
  • Patient-derived organotypic cultures and organoid systems provide insights for therapeutic profiling.
  • Spatial transcriptomics and proteomics reveal BrM microenvironment architecture.
  • Emerging liquid biopsy methods, including photonic biosensors, support non-invasive monitoring.

Abstract

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.

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Cite This Study

Valiente et al. (2026) studied this question.

synapsesocial.com/papers/6a49f68df5d1d45b28800dd2https://doi.org/10.1038/s44321-026-00472-y
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