Collections / Spatial heterogeneity of integrins and their ligands in primary breast tumors

Spatial heterogeneity of integrins and their ligands in primary breast tumors

The diversity of cell-cell interactions in different regions of a tumor reflects the functional heterogeneity of cancer, which poses challenges in early diagnosis, selection of treatment strategies, and prognosis of breast cancer. Cancer cells interact with each other to form different morphological structures in the tumor and stromal host cells via integrins. The objective of this study was to characterize the morphological and spatial heterogeneity of primary breast tumors in the context of expression profiles of integrins and their ligands. We studied spatial transcriptomics using the 10X Visium approach and the NICHES algorithm to map ligand-receptor signaling pathways and visualize the heterogeneity of signaling archetypes in tumor clusters. Cluster analysis of the expression profiles of tumor spots from the samples indicated pronounced inter-tumoral heterogeneity. Integrin-ligand functional clusters were associated with intratumoral heterogeneity, which was manifested by the presence of several morphological loci as observed in histological tumor samples. Inter-tumoral heterogeneity was manifested by a different number of functional clusters, ranging from 2 to 9 for each tumor sample. The main characteristic of these clusters was the significant predominance of non-complementary integrin subunits. Of the 42 functional integrin-ligand pairs in 21 clusters of five samples, 41 pairs occurred only once. The exception was the LAMA5-ITGB4 pair, which was detected in two clusters of different samples. The spatial heterogeneity of integrin-ligand expression clusters in breast cancer contributes significantly to the functional heterogeneity of the tumor, which sets the stage for many scenarios of parenchymatous-stromal relationships, some of which may be effective in the emergence of metastasizing tumor seed cells. The intra- and inter-tumoral spatio-functional heterogeneity of the tumor tissue that we discovered may largely explain why it is difficult to achieve success in most patients with breast cancer using any therapeutic strategy targeting one molecule of the vast array, regardless of the importance of its pathogenetic significance.

Datasets16
Size~631 MB
AssayVisium
Samplehuman · breast
KindOther
Flag a data issue
PMID:39456890 ↗
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse242311")
cohort.members        # the 16 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-gse242311")
coll.ordered_artifacts.to_dataframe()   # the 16 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-gse242311 --dest data/

Licenses: 16 NCBI GEO policy

Open in Vitessce
Visium
Human breast
GSM7757970
human breast breast cancer 49.6 MB 2,830 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuebreast
Conditionbreast cancer
Size49.6 MB
Spots2,830
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human breast
GSM7757977
human breast breast cancer 30.4 MB 2,707 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuebreast
Conditionbreast cancer
Size30.4 MB
Spots2,707
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human breast
GSM7757971
human breast breast cancer 10.9 MB 2,185 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuebreast
Conditionbreast cancer
Size10.9 MB
Spots2,185
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human breast
GSM7757976
human breast breast cancer 33.8 MB 2,622 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuebreast
Conditionbreast cancer
Size33.8 MB
Spots2,622
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human breast
GSM7757980
human breast breast cancer 37.3 MB 2,305 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuebreast
Conditionbreast cancer
Size37.3 MB
Spots2,305
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human breast
GSM7757985
human breast breast cancer 49.7 MB 3,275 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuebreast
Conditionbreast cancer
Size49.7 MB
Spots3,275
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human breast
GSM7757979
human breast breast cancer 17.2 MB 2,166 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuebreast
Conditionbreast cancer
Size17.2 MB
Spots2,166
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human breast
GSM7757982
human breast breast cancer 37.6 MB 2,440 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuebreast
Conditionbreast cancer
Size37.6 MB
Spots2,440
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human breast
GSM7757983
human breast breast cancer 32.9 MB 2,670 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuebreast
Conditionbreast cancer
Size32.9 MB
Spots2,670
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human breast
GSM7757975
human breast breast cancer 69.2 MB 3,210 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuebreast
Conditionbreast cancer
Size69.2 MB
Spots3,210
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human breast
GSM7757974
human breast breast cancer 49.2 MB 2,276 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuebreast
Conditionbreast cancer
Size49.2 MB
Spots2,276
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human breast
GSM7757972
human breast breast cancer 26.8 MB 1,505 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuebreast
Conditionbreast cancer
Size26.8 MB
Spots1,505
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human breast
GSM7757984
human breast breast cancer 55.4 MB 2,885 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuebreast
Conditionbreast cancer
Size55.4 MB
Spots2,885
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human breast
GSM7757978
human breast breast cancer 52.9 MB 2,753 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuebreast
Conditionbreast cancer
Size52.9 MB
Spots2,753
Magnificationother · 3.460 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human breast
GSM7757981
human breast breast cancer 45.8 MB 3,127 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuebreast
Conditionbreast cancer
Size45.8 MB
Spots3,127
Magnificationother · 3.478 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human breast
GSM7757973
human breast breast cancer 32.2 MB 2,420 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuebreast
Conditionbreast cancer
Size32.2 MB
Spots2,420
Magnificationother · 3.383 µm/px
bronze H&E NCBI GEO policy Open in Vitessce

Cite this collection

doi.org/10.3390/ijms252011109 ↗
BibTeX
@article{Perelmuter_2024,
  title = {Characterization of EpCAM-Positive and EpCAM-Negative Tumor Cells in Early-Stage Breast Cancer},
  volume = {25},
  ISSN = {1422-0067},
  url = {http://dx.doi.org/10.3390/ijms252011109},
  DOI = {10.3390/ijms252011109},
  number = {20},
  journal = {International Journal of Molecular Sciences},
  publisher = {MDPI AG},
  author = {Perelmuter, Vladimir M. and Grigoryeva, Evgeniya S. and Alifanov, Vladimir V. and Kalinchuk, Anna Yu. and Andryuhova, Elena S. and Savelieva, Olga E. and Patskan, Ivan A. and Bragina, Olga D. and Garbukov, Evgeniy Yu. and Vostrikova, Mariya A. and Zavyalova, Marina V. and Denisov, Evgeny V. and Cherdyntseva, Nadezhda V. and Tashireva, Liubov A.},
  year = {2024},
  month = Oct,
  pages = {11109}
}