← BioTransfer GEO Dataset Finder
GEO series

Establishing 3D Organoid Models from Patient-Derived Conditionally Reprogrammed Cells to Bridge Preclinical and Clinical Insights in Pancreatic Cancer

GSE297770 Homo sapiens Expression profiling by high throughput sequencing 5 samples Submitted 2025/06/16 Platform GPL24676
Summary
Pancreatic cancer is a highly aggressive malignancy with limited therapeutic options. To address the limitations of traditional 2D cell culture models, we developed 3D organoid cultures from patient-derived conditionally reprogrammed cell (CRC) lines. These organoids retain the molecular and mutational profiles of the original tumor cells, providing a more accurate model for drug response prediction. Drug sensitivity assays using gemcitabine plus nab-paclitaxel (Abraxane) and FOLFIRINOX revealed that 3D organoids more closely reflect clinical outcomes than 2D cultures, with higher IC50 values consistent with in vivo drug resistance. This platform offers a promising approach for precision medicine in pancreatic cancer.
Published in
Establishing 3D organoid models from patient-derived conditionally reprogrammed cells to bridge preclinical and clinical insights in pancreatic cancer
Kim JS, Park CH, Kim E et al. · Molecular cancer 2025 · PMID 40462147 · doi:10.1186/s12943-025-02374-y
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE297770_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 PRJNA1266152 and SRA study SRP586829. 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.