← BioTransfer GEO Dataset Finder
GEO series

Spatial proteo-transcriptomic profiling reveals the molecular landscape of borderline ovarian tumors and their invasive progression

GSE289044 Homo sapiens Other 252 samples Submitted 2025/06/25 Platform GPL34281
Summary
Epithelial serous borderline tumors (SBT) are non-invasive neoplastic ovarian lesions that may recur as chemo-resistant low-grade serous cancer (LGSC). While genetic alterations suggest a common origin, the transition from SBT to LGSC remains poorly understood. Here, we integrate cell-type resolved spatial proteomics and transcriptomics to elucidate the evolution from SBT to LGSC and its corresponding metastasis in both the stroma and the tumor. We show that the transition of SBT to LGSC occurs in the epithelial compartment through an intermediary stage with micropapillary features. LGSC overexpressed the c-Met receptor tyrosine kinase and several CNS-specific proteins. In the tumor microenvironment, interconnectivity between cancer and tumor cells and enzymes degrading a packed extracellular matrix suggests functional collaboration between various cells in the tumor organ. Integrating spatial transcriptomics and proteomics, we functionally validate 16 drug targets.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE289044_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 252 samples.

Also filed as BioProject PRJNA1220694. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 252 more — browse all 252 samples with per-sample file links →

Similar datasets

Search all human datasets in GEO →

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.