Siglec-9 acts as an immune checkpoint molecule on macrophages in glioblastoma, restricting T cell priming and immunotherapy response [ST]
The neoadjuvant immune checkpoint blockade therapy only benefits a limited fraction of glioblastoma multiforme (GBM) patients. Thus, targeting other immunomodulators on myeloid cells is an attractive therapeutic option. Here, we performed single-cell RNA sequencing and spatial transcriptomics of GBM patients treated with neoadjuvant anti-PD-1 therapy. We identified unique monocyte-derived tumor-associated macrophage (TAM) subpopulations with functional plasticity that highly expressed the immunosuppressive SIGLEC9 gene and preferentially accumulated in the non-responders to anti-PD-1 treatment. Deletion of Siglece (murine homologue) resulted in significantly restrained tumor development and prolonged survival in mouse models. Mechanistically, targeting Siglece directly activated both CD4+ T cells and CD8+ T cells through antigen presentation, secreted chemokines and co-stimulatory factor interactions. Furthermore, Siglece deletion synergized with anti-PD-1/PD-L1 treatment to improve antitumor efficacy. Our data demonstrated that Siglec-9 is an immune checkpoint molecule on macrophages that can be targeted to enhance anti-PD-1/PD-L1 therapeutic efficacy for GBM treatment.
from sddb import Catalog
cohort = Catalog().collection("geo-gse235672")
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-gse235672")
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-gse235672 --dest data/ Licenses: 20 NCBI GEO policy
Cite this collection
doi.org/10.1038/s43018-023-00598-9 ↗@article{Mei_2023,
title = {Siglec-9 acts as an immune-checkpoint molecule on macrophages in glioblastoma, restricting T-cell priming and immunotherapy response},
volume = {4},
ISSN = {2662-1347},
url = {http://dx.doi.org/10.1038/s43018-023-00598-9},
DOI = {10.1038/s43018-023-00598-9},
number = {9},
journal = {Nature Cancer},
publisher = {Springer Science and Business Media LLC},
author = {Mei, Yan and Wang, Xiumei and Zhang, Ji and Liu, Dan and He, Junjie and Huang, Chunliu and Liao, Jing and Wang, Yingzhao and Feng, Yongyi and Li, Hongyu and Liu, Xiuying and Chen, Lingdan and Yi, Wei and Chen, Xi and Bai, Hong-Min and Wang, Xinyu and Li, Yiyi and Wang, Lixiang and Liang, Zhigang and Ren, Xianwen and Qiu, Li and Hui, Yuan and Zhang, Qingling and Leng, Qibin and Chen, Jun and Jia, Guangshuai},
year = {2023},
month = July,
pages = {1273–1291}
}