Collections / geo-gse322640
geo-gse322640
Datasets5
Size~293 MB
AssayVisium HD
Samplehuman · bone element
KindComparison
Download the whole collection
Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse322640")
coll.ordered_artifacts.df() # the 5 members, ordered
# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]
# …or load each straight into memory as a SpatialData object:
sdatas = {a.key: sd.read_zarr(a.cache()) for a in coll.ordered_artifacts.all()} About the study
Trabectedin and low-dose irinotecan to target EWS::FLI1 in Ewing sarcoma: a phase 1/2 trial.
Read the abstract at the source →Member datasets · 5
Cite this collection
doi.org/10.1038/s41591-026-04340-7 ↗ BibTeX
@article{Grohar_2026,
title = {Trabectedin and low-dose irinotecan to target EWS::FLI1 in Ewing sarcoma: a phase 1/2 trial},
volume = {32},
ISSN = {1546-170X},
url = {http://dx.doi.org/10.1038/s41591-026-04340-7},
DOI = {10.1038/s41591-026-04340-7},
number = {6},
journal = {Nature Medicine},
publisher = {Springer Science and Business Media LLC},
author = {Grohar, Patrick J. and Heise, Rachel and Wedekind, Mary Frances and Ballman, Karla and Mascarenhas, Leo and DuBois, Steven G. and Maki, Robert G. and Boguslawski, Elissa A. and Gedminas, Jenna M. and Wilson, Elizabeth R. and Thomas, Elaine and Segers, Blair and Surrey, Lea F. and Ricker, Cora and Klega, Kelly and Navid, Fariba and Lam, Gretchen Y. and The, Stephanie and Kaufman, Rebecca and Roberts, Ryan D. and Hayashi, Masanori and Mena, Esther and Overman, Lindsey and Peer, Cody and Schmidt, Keith and Diamond, Mark S. and Figg, William D. and Bagatell, Rochelle and Liza Lindenberg, M. and Choyke, Peter L. and Crompton, Brian D. and Widemann, Brigitte C. and Glod, John W. and Laetsch, Theodore W. and Reinke, Denise K. and Chugh, Rashmi},
year = {2026},
month = Apr,
pages = {2227–2237}
}