Deconvolution of regulatory T cell heterogeneity identifies cycling precursors as conductors of immune escape during breast carcinoma progression [Visium]
Tumor-immune microenvironment is instrumental in shaping breast cancer tumor evolution. We previously identified an evolutionary bottleneck demarcating ductal carcinoma in situ (DCIS) from invasive ductal carcinoma (IDC). How the microenvironment evolves during such transition remains elusive. We dissected, in parallel, single-cell composition of DCIS and IDC patients and rat tumors that faithfully recapitulate human breast cancer. We discovered T cell diversity distinguishing DCIS and IDC and a novel cycling Treg state occupying the pseudotime bifurcation between DCIS and IDC, preceding more activated Treg subtypes. Multiscale analysis of patient cohorts as part of HTAN Consortium established that cycling Treg predicts recurrence in low-grade DCIS. We proved cycling Treg as Treg progenitors critical for immune escape and demonstrated that OX40 agonism restored immunotherapeutic sensitivity, where responders displayed increased inflammatory CAF subtype heterogeneity. Our study thus established cycling Treg’s importance in preserving immune escape and underscored its prognostic value to stratify future recurrence.
from sddb import Catalog
cohort = Catalog().collection("geo-gse253585")
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-gse253585")
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-gse253585 --dest data/ Licenses: 20 NCBI GEO policy
Cite this collection
doi.org/10.1016/j.ccell.2026.03.015 ↗@article{Bui_2026,
title = {Identification of cycling regulatory T cell precursors as conductors of immune escape during breast carcinoma progression},
volume = {44},
ISSN = {1535-6108},
url = {http://dx.doi.org/10.1016/j.ccell.2026.03.015},
DOI = {10.1016/j.ccell.2026.03.015},
number = {6},
journal = {Cancer Cell},
publisher = {Elsevier BV},
author = {Bui, Triet Minh and Jimenez, Ernesto Rojas and Li, Zheqi and Foidart, Pierre and Puleo, Julieann and Yan, Pengze and Jhaveri, Aashna and Yang, Lin and Nishida, Jun and Seehawer, Marco and Cai, Xinran and Parker, Kimberly Ann and Qin, Xiaodi and Sumer, Oyku Ece and Huang, Xiao-Yun and Patel, Ashka and Dillon, Deborah and McDonnell, Charles H. and Rowberry, Ron and Jhajj, Shinedeep and Baker, Catherine and Brown, Daniel D. and Strand, Siri H. and Marks, Jeffrey R. and Colditz, Graham A. and Park, So Yeon and Lee, Adrian V. and Angelo, Michael and McAuliffe, Priscilla F. and Bobolis, Kristie and West, Robert and Dranoff, Glenn and Hwang, E. Shelley and Cristea, Simona and Polyak, Kornelia},
year = {2026},
month = June,
pages = {1179–1200.e14}
}