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@ARTICLE{Peng:298907,
      author       = {T. Peng and X. Ma$^*$ and W. Hua and C. Wang$^*$ and Y. Chu
                      and M. Sun and V. Fermi and S. Hamelmann$^*$ and K.
                      Lindner$^*$ and C. Shao$^*$ and J. Zaman$^*$ and W. Tian$^*$
                      and Y. Zhuo$^*$ and Y. Harim$^*$ and N. Stöffler$^*$ and L.
                      Hammann$^*$ and Q. Xiao$^*$ and X. Jin$^*$ and R. Warta and
                      C. Lotsch and X. Zhuang and Y. Feng and M. Fu and X. Zhang
                      and J. Zhang and H. Xu and F. Qiu and L. Xie and Y. Zhang
                      and W. Zhu and Z. Du and L. Salgueiro$^*$ and M. Schneider
                      and F. Eichhorn and A. Lefevre and S. Pusch$^*$ and V.
                      Grinevich and M. Ratliff$^*$ and S. Loges$^*$ and L.
                      Bunse$^*$ and F. Sahm$^*$ and Y. Xiang and A. Unterberg and
                      A. von Deimling$^*$ and M. Platten$^*$ and C. Herold-Mende
                      and Y. Wu and H. Liu$^*$ and Y. Mao},
      title        = {{I}ndividualized patient tumor organoids faithfully
                      preserve human brain tumor ecosystems and predict patient
                      response to therapy.},
      journal      = {Cell stem cell},
      volume       = {32},
      number       = {4},
      issn         = {1934-5909},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier},
      reportid     = {DKFZ-2025-00346},
      pages        = {652-669.e11},
      year         = {2025},
      note         = {DKFZ-ZMBH Alliance / #EA:A240# / HI-TRON / 2025 Apr
                      3;32(4):652-669.e11},
      abstract     = {Tumor organoids are important tools for cancer research,
                      but current models have drawbacks that limit their
                      applications for predicting response to therapy. Here, we
                      developed a fast, efficient, and complex culture system
                      (IPTO, individualized patient tumor organoid) that
                      accurately recapitulates the cellular and molecular
                      pathology of human brain tumors. Patient-derived tumor
                      explants were cultured in induced pluripotent stem cell
                      (iPSC)-derived cerebral organoids, thus enabling culture of
                      a wide range of human tumors in the central nervous system
                      (CNS), including adult, pediatric, and metastatic brain
                      cancers. Histopathological, genomic, epigenomic, and
                      single-cell RNA sequencing (scRNA-seq) analyses demonstrated
                      that the IPTO model recapitulates cellular heterogeneity and
                      molecular features of original tumors. Crucially, we showed
                      that the IPTO model predicts patient-specific drug
                      responses, including resistance mechanisms, in a prospective
                      patient cohort. Collectively, the IPTO model represents a
                      major breakthrough in preclinical modeling of human cancers,
                      which provides a path toward personalized cancer therapy.},
      keywords     = {brain metastasis (Other) / glioblastoma (Other) / patient
                      tumor organoid (Other) / predictive patient model (Other) /
                      temozolomide (Other) / tumor heterogeneity (Other)},
      cin          = {A240 / B300 / HD01 / D170 / B320 / A420},
      ddc          = {570},
      cid          = {I:(DE-He78)A240-20160331 / I:(DE-He78)B300-20160331 /
                      I:(DE-He78)HD01-20160331 / I:(DE-He78)D170-20160331 /
                      I:(DE-He78)B320-20160331 / I:(DE-He78)A420-20160331},
      pnm          = {311 - Zellbiologie und Tumorbiologie (POF4-311)},
      pid          = {G:(DE-HGF)POF4-311},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:39938519},
      doi          = {10.1016/j.stem.2025.01.002},
      url          = {https://inrepo02.dkfz.de/record/298907},
}