Collections / Intratumoral spatiotemporal heterogeneity of HPV status in HPV-associated oropharyngeal squamous cell carcinoma with clinical record

Intratumoral spatiotemporal heterogeneity of HPV status in HPV-associated oropharyngeal squamous cell carcinoma with clinical record

Heterogeneity in HPV status within HPV-associated oropharyngeal squamous cell carcinoma (HPV-OPSCC) has gained attention, but the origin and relevance of HPV-absent cancer cells remain unclear. Among 83 OPSCCs, including 48 HPV-OPSCCs, seven showed spatial HPV heterogeneity. Using HPV-DNA in situ hybridization, histomorphology, immunohistochemistry, and spatial transcriptomics, we revealed that HPV-absent subsets differentiate from initial HPV-positive cells, forming distinct lineages. HPV-OPSCC was associated with p16 expression, with HPV-absent clones showing robust p16 expression and poorly differentiated histology. Despite these aggressive features, prognosis was comparable to HPV-homogeneous tumors, likely due to tumor microenvironment differences. HPV-absent clones exhibited increased interferon signaling, hypoxia signaling, and cytotoxic lymphocyte infiltration, indicating a loss of antiviral immune evasion. Conversely, HPV-positive clones were linked to FGFR3 ligand-receptor signaling. This study highlights the emergence, evolution, and microenvironmental impact of HPV-absent clones in HPV-OPSCC.

Datasets3
Size~291 MB
AssayVisium
Samplehuman · palatine tonsil
KindReplicates
Flag a data issue
PMID:41943047 ↗
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse289363")
cohort.members        # the 3 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-gse289363")
coll.ordered_artifacts.to_dataframe()   # the 3 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-gse289363 --dest data/

Licenses: 3 NCBI GEO policy

Open in Vitessce
Visium
Human palatine tonsil
GSM8789933
human palatine tonsil oropharynx squamous cell carcinoma 86.2 MB 4,962 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuepalatine tonsil
Conditionoropharynx squamous cell carcinoma
Size86.2 MB
Spots4,962
Magnificationother · 6.293 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human palatine tonsil
GSM8789934
human palatine tonsil oropharynx squamous cell carcinoma 112 MB 4,952 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuepalatine tonsil
Conditionoropharynx squamous cell carcinoma
Size112 MB
Spots4,952
Magnificationother · 5.554 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human palatine tonsil
GSM8789932
human palatine tonsil oropharynx squamous cell carcinoma 92.4 MB 4,925 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissuepalatine tonsil
Conditionoropharynx squamous cell carcinoma
Size92.4 MB
Spots4,925
bronze H&E NCBI GEO policy Open in Vitessce

Cite this collection

doi.org/10.1186/s12967-026-08082-5 ↗
BibTeX
@article{Ahn_2026,
  title = {Intratumoral spatiotemporal heterogeneity of HPV DNA status in HPV-associated oropharyngeal squamous cell carcinoma with clinical record},
  volume = {24},
  ISSN = {1479-5876},
  url = {http://dx.doi.org/10.1186/s12967-026-08082-5},
  DOI = {10.1186/s12967-026-08082-5},
  number = {1},
  journal = {Journal of Translational Medicine},
  publisher = {Springer Science and Business Media LLC},
  author = {Ahn, Bokyung and Park, Chae Won and Song, Joon Seon and Lee, Hee-Jin and Kim, Wonkyung and Lee, Yoon Se and Jung, Young Ho and Choi, Seung-Ho and Nam, Soon Yuhl and Kim, Sang Yoon and Oh, Ji-Hye and Kang, Young Gwang and Oh, Da Eun and Sung, Chang Ohk and Cho, Kyung-Ja},
  year = {2026},
  month = Apr
}