← BioTransfer GEO Dataset Finder
GEO series

Mimicking physiologically relevant environments in patient-derived tumor-immune models to target immunologically cold high-grade serous tumors

GSE327288 Homo sapiens Expression profiling by high throughput sequencing 5 samples Submitted 2026/05/29 Platform GPL34284
Summary
High-grade serous tumors are immunologically cold, characterized by limited immune cell infiltration and reduced clinical outcome, primarily due to hypoxia and extensive extracellular matrix remodeling that disrupt tumor-stromal-immune interactions. However, current experimental models fail to fully capture oxygen and matrix microenvironmental features, limiting progress in understanding tumor-immune dynamics and developing effective treatments. Here, we demonstrate that patient-derived tumor-immune models, mimicking physiologically relevant oxygen levels and extracellular matrix remodeling, recapitulate the hypoxia-induced stromal/matrix dysregulation, which associates with impaired immune infiltration, and enable dissecting targeted opportunities via TGF-β signaling. The models incorporate cancer cells co-cultured with cancer-associated fibroblasts within 3D matrices bioengineered using human plasma or grown on decellularized human ovarian extracellular matrices. Immune cells were either included within the 3D constructs as a multiculture to study tumor-immune interactions or challenged to infiltrate the matrices. By bioengineering physiologically relevant oxygen levels, we uncovered that intratumoral hypoxia acts as a friend and a foe, causing hypoxia-induced stromal-driven impaired immune infiltration but enhancing the activation and cytotoxicity of CD8+ T cells. We also showed that targeting TGF-β signaling reversed the hypoxia-induced stromal-driven impaired immune infiltration. These female patient-relevant models may aid the development of targeted therapies to turn immunologically cold tumors into hot ones.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE327288_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 5 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1450132 and SRA study SRP689957. 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.

+ 5 more — browse all 5 samples with per-sample file links →

Similar datasets

Search all human RNA-seq 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.