← BioTransfer GEO Dataset Finder
GEO series

Mitophagy Competent Cancer Associated Fibroblasts fuel Chemoresistance by Rewiring Pyrimidine Metabolism in Pancreatic Cancer

GSE315716 Homo sapiens Expression profiling by high throughput sequencing 4 samples Submitted 2026/05/13 Platform GPL24676
Summary
Pancreatic cancer remains one of the deadliest malignancies, with gemcitabine-based chemotherapy as the mainstay treatment for most patients, yet resistance emerges almost universally. A defining feature of pancreatic cancer is its dense, fibroblast-rich stroma, where heterogeneous cancer-associated fibroblasts (CAFs) actively shape tumor biology and therapeutic response. Here, we elucidated a stromal–metabolic mechanism through which chemoresistant CAFs confer gemcitabine resistance. We identified a subset of mitophagy-competent CAFs that enhanced pancreatic cancer gemcitabine resistance. The EMT transcription factor ZEB1 acts as a master regulator of this CAF-driven chemoresistance program, being upregulated and epigenetically activated via SETD1A-mediated H3K4 methylation in gemcitabine-resistant CAFs. ZEB1 promotes BNIP3-mediated mitophagy in CAFs, leading to increased nucleotides secretion, which competitively inhibited gemcitabine incorporation into cancer cells while simultaneously supplying pyrimidine metabolism substrates for pyrimidine metabolism. Concurrently, ZEB1 transcriptionally activated CXCL8, engaging the CXCR1/2–MEK/ERK pathway in tumor cells and further augmenting pyrimidine metabolism via the RRM1/E2F1/G6PD axis, collectively diminishing gemcitabine cytotoxicity. Notably, combined inhibition of CXCR1/2 or G6PD with gemcitabine robustly suppressed tumor growth and restored chemosensitivity both in vitro and in vivo. These findings uncover a key stromal–metabolic axis in pancreatic cancer, linking mitophagy CAF activity to metabolic remodeling in tumor cells, and identifying ZEB1 and its downstream network as actionable targets to overcome chemoresistance.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE315716_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1398841. 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.

+ 4 more — browse all 4 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.