Transcriptomics

Dataset Information

0

The emergence of DNAM-1 as the facilitator of NK cell-mediated killing in Ovarian Cancer


ABSTRACT: Ovarian cancer (OC) is the sixth most common malignancy in women and the poor 5-year survival emphasises the need for novel therapies. NK cells play an important role in the control of malignant disease but the nature of tumour-infiltrating and peripheral NK cells in OC remains unclear. We studied the phenotype and function of NK cells in blood, primary tumour and metastatic tissue in 80 women with OC. The proportion of peripheral NK cells was markedly elevated with a highly activated profile and increased cytotoxicity. In contrast, NK cell numbers in primary tumour and metastasis were substantially reduced, with downregulation of activatory receptors together with elevated PD-1 expression. scRNA-Seq identified 5 NK cell subpopulations along with increased exhausted and immature NK cells within tumour tissue compared to normal tissue. These features were attenuated following chemotherapy where higher levels of activated and cytotoxic NK cells associated with improved disease-free survival. Correlation of NK cell phenotype with clinical outcomes revealed high levels of DNAM-1 expression on tissue-localised and peripheral NK cells to be associated with reduced survival. Expression of PVR, the DNAM-1 ligand, was significantly increased on tumours and DNAM-1 mediated NK cell lysis of primary tumour tissue was observed in vitro. These findings reveal profound modulation of the tumour tissue and systemic profile of NK cells which likely contributes to the high rates of local progression and metastasis seen with OC. Immunotherapeutic approaches that overcome local immune suppression and enhance DNAM-1-targeted lysis of OC offer the potential to improve disease control.

ORGANISM(S): Homo sapiens

PROVIDER: GSE281120 | GEO | 2025/01/29

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2015-02-26 | E-GEOD-66281 | biostudies-arrayexpress
2015-02-26 | GSE66281 | GEO
2011-03-08 | E-GEOD-27838 | biostudies-arrayexpress
2024-09-02 | BIOMD0000000802 | BioModels
2011-03-08 | GSE27838 | GEO
| PRJNA276407 | ENA
2018-12-27 | GSE124366 | GEO
| PRJDB15109 | ENA
2021-11-22 | GSE189237 | GEO
2023-11-14 | GSE247218 | GEO