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@ARTICLE{Wang:287296,
author = {C. Wang$^*$ and M. Sun and C. Shao$^*$ and L. Schlicker and
Y. Zhuo$^*$ and Y. Harim$^*$ and T. Peng and W. Tian$^*$ and
N. Stöffler$^*$ and M. Schneider$^*$ and D. Helm$^*$ and Y.
Chu and B. Fu and X. Jin and J.-P. Mallm$^*$ and M. Mall$^*$
and Y. Wu and A. Schulze$^*$ and H. Liu$^*$},
title = {{A} multidimensional atlas of human glioblastoma-like
organoids reveals highly coordinated molecular networks and
effective drugs.},
journal = {npj precision oncology},
volume = {8},
number = {1},
issn = {2397-768X},
address = {[London]},
publisher = {Springer Nature},
reportid = {DKFZ-2024-00216},
pages = {19},
year = {2024},
note = {DKFZ-ZMBH alliance / #EA:A240#LA:A240#},
abstract = {Recent advances in the genomics of glioblastoma (GBM) led
to the introduction of molecular neuropathology but failed
to translate into treatment improvement. This is largely
attributed to the genetic and phenotypic heterogeneity of
GBM, which are considered the major obstacle to GBM therapy.
Here, we use advanced human GBM-like organoid (LEGO:
Laboratory Engineered Glioblastoma-like Organoid) models and
provide an unprecedented comprehensive characterization of
LEGO models using single-cell transcriptome, DNA methylome,
metabolome, lipidome, proteome, and phospho-proteome
analysis. We discovered that genetic heterogeneity dictates
functional heterogeneity across molecular layers and
demonstrates that NF1 mutation drives mesenchymal signature.
Most importantly, we found that glycerol lipid reprogramming
is a hallmark of GBM, and several targets and drugs were
discovered along this line. We also provide a genotype-based
drug reference map using LEGO-based drug screen. This study
provides new human GBM models and a research path toward
effective GBM therapy.},
cin = {A240 / W120 / W192 / A340},
ddc = {610},
cid = {I:(DE-He78)A240-20160331 / I:(DE-He78)W120-20160331 /
I:(DE-He78)W192-20160331 / I:(DE-He78)A340-20160331},
pnm = {311 - Zellbiologie und Tumorbiologie (POF4-311)},
pid = {G:(DE-HGF)POF4-311},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:38273014},
doi = {10.1038/s41698-024-00500-5},
url = {https://inrepo02.dkfz.de/record/287296},
}