Collections / Fibroblast-Derived Thrombospondin 2 Shapes the Immune-Exclusionary Environment at Invasive Fronts in Colorectal Cancer [Visium

Fibroblast-Derived Thrombospondin 2 Shapes the Immune-Exclusionary Environment at Invasive Fronts in Colorectal Cancer [Visium

Fibrotic colorectal cancers (CRC) are characterized by immune exclusion driven by activated stroma, particularly by cancer-associated fibroblasts (CAFs). This study aims to describe characteristics of spatial immune landscape of CRCs, which are subtyped by transcriptomic signatures and microsatellite instability.

Datasets4
Size~130 MB
AssayVisium
Samplehuman · colorectum
KindOther
Flag a data issue
PMID:41276505 ↗
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse285505")
cohort.members        # the 4 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/")
Python · lamindb

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-gse285505")
coll.ordered_artifacts.to_dataframe()   # the 4 members, ordered

# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]
Shell
# sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse285505 --dest data/

Licenses: 4 NCBI GEO policy

Open in Vitessce
Visium
Human colorectum
GSM8703566
human colorectum colorectal carcinoma 32.3 MB 3,415 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuecolorectum
Conditioncolorectal carcinoma
Size32.3 MB
Spots3,415
Magnificationother · 4.052 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human colorectum
GSM8703563
human colorectum colorectal carcinoma 38.1 MB 3,493 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuecolorectum
Conditioncolorectal carcinoma
Size38.1 MB
Spots3,493
Magnificationother · 4.054 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human colorectum
GSM8703565
human colorectum colorectal carcinoma 41.1 MB 3,563 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuecolorectum
Conditioncolorectal carcinoma
Size41.1 MB
Spots3,563
Magnificationother · 4.054 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human colorectum
GSM8703564
human colorectum colorectal carcinoma 18.5 MB 2,473 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuecolorectum
Conditioncolorectal carcinoma
Size18.5 MB
Spots2,473
bronze H&E NCBI GEO policy Open in Vitessce

Cite this collection

doi.org/10.1038/s41467-025-66485-2 ↗
BibTeX
@article{Iwane_2025,
  title = {Targeting fibroblast derived thrombospondin 2 disrupts an immune-exclusionary environment at the tumor front in colorectal cancer},
  volume = {16},
  ISSN = {2041-1723},
  url = {http://dx.doi.org/10.1038/s41467-025-66485-2},
  DOI = {10.1038/s41467-025-66485-2},
  number = {1},
  journal = {Nature Communications},
  publisher = {Springer Science and Business Media LLC},
  author = {Iwane, Kosuke and Nakanishi, Yuki and Muta, Yu and Chen, Jiayu and Yasumura, Kento and Omatsu, Mayuki and Aoyama, Naoki and Ikeda, Munehiro and Masui, Yoko and Cai, Liyang and Yamakawa, Go and Hamada, Kensuke and Mizukoshi, Kenta and Kawai, Munenori and Iimori, Kei and Nakayama, Shinnosuke and Agatsuma, Nobukazu and Utsumi, Takahiro and Nagao, Munemasa and Maruno, Takahisa and Hiramatsu, Yukiko and Kakiuchi, Nobuyuki and Nakagawa, Masahiro M. and Fukui, Yasuhiro and Kusunoki, Yukina and Kasashima, Hiroaki and Fujimoto, Masakazu and Itatani, Yoshiro and Kogame, Toshiaki and Fukuda, Akihisa and Yashiro, Masakazu and Maeda, Kiyoshi and Kabashima, Kenji and Obama, Kazutaka and Ogawa, Seishi and Diaz-Meco, Maria T. and Moscat, Jorge and Seno, Hiroshi},
  year = {2025},
  month = Nov
}