Clonal biases dictate availability of colonic cancer driver mutations for transformation
Aged normal tissues harbour cancer mutations predisposing to transformation. However, previous studies of human colon have not allowed a comparison of the prevalence and behaviours of different pro-oncogenic events. Here, having detected cancer driver mutations in histologically normal FFPE tissue using targeted amplicon sequencing, we perform spatial transcriptomics to investigate whether monoallelic cancer driver clones can be phenotypically profiled in normal tissue. We found that KRAS mutant clones are associated with a profound shift in their transcriptome and were able to create a signature of 628 genes. The results highlighted phenotypic heterogeneity in KRAS mutant clones of the same genotype, with mixed lineage presentation seen in a proportion of them, a state that has been linked with increased risk of transformation in other organs. REG4 was also identified as a surrogate protein marker of KRAS mutant clones, the use of which could be further validated in a clinical setting for patient stratification.
from sddb import Catalog
cohort = Catalog().collection("geo-gse312204")
cohort.members # the 20 datasets as a table
print(cohort.licenses()) # check the terms before you download
sdatas = cohort.to_dict() # {uid: SpatialData}, cached locally
# or keep the .zarr files in a folder of your choice:
# sdatas = cohort.to_dict(dest="data/") Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
coll = db.Collection.get(key="geo-gse312204")
coll.ordered_artifacts.to_dataframe() # the 20 members, ordered
# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()] # sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse312204 --dest data/ Licenses: 20 CC BY 4.0
Cite this collection
doi.org/10.1038/s41467-026-71944-5 ↗@article{Skoufou_Papoutsaki_2026,
title = {Clonal biases dictate availability of colonic cancer driver mutations for transformation},
volume = {17},
ISSN = {2041-1723},
url = {http://dx.doi.org/10.1038/s41467-026-71944-5},
DOI = {10.1038/s41467-026-71944-5},
number = {1},
journal = {Nature Communications},
publisher = {Springer Science and Business Media LLC},
author = {Skoufou-Papoutsaki, Nefeli and Kemp, Richard and Adler, Sam and Marks, Kate and Girard, Anne-Claire and Mehmed, Shenay and Lourenço, Filipe C. and Moutin, Elisa B. and Ten Hoopen, Rogier and Morrissey, Edward and Winton, Douglas J. and Tourigny, David S.},
year = {2026},
month = Apr
}