← BioTransfer GEO Dataset Finder
GEO series

Cancer-Associated Fibroblasts Shape a High-Lactate Microenvironment to Drive Perineural Invasion in Pancreatic Cancer via Histone Lactylation [RNA-seq]

GSE290845 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2025/03/05 Platform GPL24676
Summary
Perineural invasion (PNI) is a pivotal prognostic factor in pancreatic cancer, associated with aggressive tumor behavior and adverse patient outcomes. Despite its recognized clinical impact, the molecular mechanisms underlying PNI are not well understood. In this study, we isolated perineural invasion-associated cancer-associated fibroblasts (pCAFs), which demonstrated a markedly enhanced capacity to promote neural invasion in pancreatic cancer compared to non-perineural invasion-associated CAFs (npCAFs). Utilizing single-cell, high-throughput sequencing, and metabolomics, we identified a significant upregulation of glycolysis in pCAFs, fostering a high-lactate tumor microenvironment conducive to cancer progression. pCAFs-derived lactate is absorbed by tumor cells, facilitating histone H3K18 lactylation. This epigenetic modification activates the transcription of neural invasion-associated genes such as L1CAM and SLIT1, thereby driving PNI in pancreatic cancer. Further exploration of metabolic reprogramming in pCAFs revealed enhanced acetylation of the glycolytic enzyme GAPDH, correlated with increased enzymatic activity and glycolytic flux. Targeting of GAPDH and lactylation modifications significantly inhibits neural invasion in a KPC mouse model. Clinical data suggested that high levels of H3K18 lactylation correlate with severe PNI and poorer patient prognosis. Our findings provide critical insights into the role of pCAFs in the PNI of pancreatic cancer, highlighting glycolytic reprogramming and lactate-driven histone modifications as potential therapeutic targets for PDAC.
Published in
Cancer-Associated Fibroblasts Foster a High-Lactate Microenvironment to Drive Perineural Invasion in Pancreatic Cancer
Li T, Hu C, Huang T et al. · Cancer research 2025 · PMID 40138590 · doi:10.1158/0008-5472.CAN-24-3173
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE290845_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1230228 and SRA study SRP567148. 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.

+ 6 more — browse all 6 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.