← BioTransfer GEO Dataset Finder
GEO series

Targeting lipid metabolism in pancreatic cancer [RNA-seq]

GSE255377 Mus musculus Expression profiling by high throughput sequencing 6 samples Submitted 2024/04/10 Platform GPL24247
Summary
Pancreatic ductal adenocarcinoma (PDAC) thrives in a nutrient-deprived microenvironment, making it particularly susceptible to treatments that interfere with cancer metabolism. For example, PDAC utilizes and is dependent on high levels of autophagy and other lysosomal processes. Although targeting these pathways has shown potential in pre-clinical studies, progress has been hampered by the challenge of identifying and characterizing favorable targets for drug development. Here, we characterize PIKfyve, a lipid kinase integral to lysosomal functioning as a novel and targetable vulnerability in PDAC. Through comprehensive metabolic analyses we find that PIKfyve inhibition obligates PDAC to upregulate de novo lipid synthesis, a relationship previously undescribed. PIKfyve inhibition triggers a distinct lipogenic gene expression and metabolic program, creating a dependency on de novo lipid metabolism pathways, including genes such as FASN and ACACA. These results suggest that targeting PIKfyve disrupts lysosome-dependent lipid metabolism in PDAC and may be a favorable metabolic target for therapeutic development. Further, this data suggests that one could take advantage of this synthetic dependency by co-targeting PIKfyve and FASN or ACACA as a therapeutic strategy.
Published in
Targeting PIKfyve-driven lipid homeostasis as a metabolic vulnerability in pancreatic cancer
Cheng C, Hu J, Mannan R et al. · bioRxiv : the preprint server for biology 2024 · PMID 38562800 · doi:10.1101/2024.03.18.585580
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE255377_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 PRJNA1074765 and SRA study SRP489001. 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 mouse 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.