Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death, often diagnosed at advanced stages and characterized by high recurrence rates. While chronic liver inflammation and metabolic dysfunction are recognized contributors to tumorigenesis, the molecular mechanisms linking early microenvironmental stress to malignant transformation remain poorly understood. MYCN, a proto-oncogenic transcription factor, has emerged as a potential biomarker of cancer stemness, yet its functional role in hepatocarcinogenesis is unclear. Here, we elucidate the oncogenic role of MYCN and its dynamic regulation during metabolic liver tumorigenesis. Transcriptomic profiling revealed that MYCN-driven tumors exhibit features of human HCC subtypes enriched in stress-adaptive transcriptional programs. Time-resolved spatial transcriptomics further uncovered a MYCN-enriched niche characterized by epithelial–mesenchymal transition (EMT) and Wnt/β-catenin signaling, which expanded during tumor progression and was spatially proximate to transformed malignant cells.
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse302815")
coll.ordered_artifacts.df() # the 4 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()}
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