Interleukin 7 therapy changes tumor immune environment to pro-inflammatory through myeloid and T cell interactions [Visium]
Immune checkpoint inhibitors unleash inhibitory signals on effector T cells inflicted by tumor and surrounding stromal cells. Despite the great success of PD-1 inhibitors in a fraction of cancer patients, lack of checkpoint molecule expression and persistence of immunosuppressive cells limit the effects of the therapy. To overcome the limitations, combination therapies or direct stimulation of myeloid cells are being investigated. Nonetheless, combination therapies increase the incidence of side effects, and a single agent co-stimulating T cell and myeloid populations might be a better strategy. Exploring single cell RNA sequencing data from multiple human cancers and mouse tumor model, we found pleiotropic expression of interleukin 7 receptor on T cells, macrophages, and dendritic cells. Treatment of recombinant IL7 induced expansion of effector CD8 T cells along with pro-inflammatory activation of macrophages and dendritic cells. Spatial transcriptomic data revealed strengthen of anti-tumoral interactions between macrophages and T cells by IL7 treatment. Altogether, our results suggest that IL7 therapy is applicable to a broad range of cancer patients.
from sddb import Catalog
cohort = Catalog().collection("geo-gse205306")
cohort.members # the 2 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-gse205306")
coll.ordered_artifacts.to_dataframe() # the 2 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-gse205306 --dest data/ Licenses: 2 NCBI GEO policy
Cite this collection
doi.org/10.1038/s41416-024-02617-7 ↗@article{Eum_2024,
title = {Single-cell RNA sequencing reveals myeloid and T cell co-stimulation mediated by IL-7 anti-cancer immunotherapy},
volume = {130},
ISSN = {1532-1827},
url = {http://dx.doi.org/10.1038/s41416-024-02617-7},
DOI = {10.1038/s41416-024-02617-7},
number = {8},
journal = {British Journal of Cancer},
publisher = {Springer Science and Business Media LLC},
author = {Eum, Hye Hyeon and Jeong, Dasom and Kim, Nayoung and Jo, Areum and Na, Minsu and Kang, Huiram and Hong, Yourae and Kong, Jin-Sun and Jeong, Gi Heon and Yoo, Seung-Ah and Lee, Hae-Ock},
year = {2024},
month = Feb,
pages = {1388–1401}
}