GEO series
Novel ovarian cancer PD-1+ NK cell subsets, targetable by combined immune-checkpoint blockade
GSE255486
Homo sapiens
Expression profiling by high throughput sequencing
12 samples
2025/09/03
GPL24676
Summary
Ovarian cancer (OC) is the fifth leading cause of cancer-related death and High-Grade Serous Ovarian Carcinoma (HGSOC) is its most common histotype. Current therapies are ineffective, and most patients develop a recurrence within a few years. Moreover, if outstanding results can be obtained with immune-checkpoint blockade strategies (mainly PD-1/PD-L axis) in immunotherapeutic protocols for several aggressive tumors, clinical trials didn’t show good results with HGSOC patients so far. Here we analysed, by multiparametric flow cytometry, NK cells derived from peripheral blood, peritoneal fluid, tumor tissue, and metastatic tissue of a large cohort of HGSOC patients, in order to define how NK cells could be leveraged to improve HGSOC immunotherapy. We identified new PD-1+NK subsets occurring in HGSOC patients, but absent in healthy donors, characterized by a CD56dimNKG2A+KIR+/-NKp46+CD57low phenotype and ineffective anti-tumor response against autologous HGSOC cells. This impairment could be rescued by treatment with a combination of anti-PD-1/PD-Ls, NKG2A, and KIRs mAbs. PD-1+ NK cells were enriched in the metastatic niche and high levels of tumor-infiltrating PD-1+ NK cells correlate with a worse outcome, suggesting a role for PD-1 in metastatic promotion/progression. Our data demonstrate the existence of novel tumor-infiltrating PD-1+ NK cell subsets in HGSOC patients, which are inversely related to patient outcome, showing the importance of these NK subsets. These subsets show indeed impaired anti-tumor activity, which can be rescued by combined ICs blockade, paving the way for more successful NK cell-based immunotherapy in OC patients.
Download
NCBI GEO page ↗
Paper (PMID 40877861) ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
human RNA-seq datasets →
Similar datasets
- GSE328275 Single-cell RNA sequencing of CD45+ immune cells across primary tumor, sentinel tumor-draining lymph node, and axillary lymph node in treatment-naive triple-negative breast cancer 28 samples
- GSE341753 Cohesin loading at regulatory elements shapes 3D genome folding during erythropoiesis [RNA-Seq] 12 samples
- GSE319969 Spatial and Bulk Transcriptomic Profiling Defines the Molecular Evolution of Cutaneous Squamous Cell Carcinoma and Reveals Stage-Specific Biomarkers of Clinical Relevance [RNA-Seq] 24 samples
- GSE313035 METIMMOX: Colorectal Cancer METastasis - Shaping Anti-tumor IMMunity by OXaliplatin 67 samples
- GSE342462 Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP 12 samples
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples
- GSE336982 Obesity Promotes Lung Carcinogenesis Through Airway Immune Dysfunction 183 samples
- GSE330029 Temporal changes in metabolism guide oligodendrocyte precursor cell dynamics in aging and multiple sclerosis [BulkRNAseq] 108 samples
Share this dataset
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.