Multi-Omic Single-Cell Dissection of Leukemic T-Cell Lymphoma Following CAR T-Cell Therapy [Spatial Transcriptomics]
A 63-year-old male who received ciltacabtagene autoleucel (cilta-cel) CAR-T cells and the GPRC5DxCD3 bispecific talquetamab for early relapse of his multiple myeloma (MM) developed a leukemic peripheral T-cell lymphoma (PTCL) with cutaneous and intestinal involvement. Longitudinal single-cell RNA and T-cell receptor sequencing of peripheral blood and bone marrow revealed two hyperexpanded CAR-carrying, exhausted effector-memory T-cell clones with marked immunophenotypic as well as transcriptional alterations and different susceptibilities towards treatment with dexamethasone. Spatial transcriptomes of skin lesions confirmed the aberrant CAR-expressing T cells. Whole genome sequencing revealed three distinct integration sites, within the introns of ZGPAT, KPNA4, and polycomb-associated non-coding RNAs. Pre/post-CAR-T whole-genome analyses implicated clonal outgrowth of a TET2-mutated precursor propelled by additional sub-clone specific LOH and other secondary mechanisms
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse283145")
coll.ordered_artifacts.df() # the 3 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()} Cite this collection
No linked publication found — please cite the data source.