← BioTransfer GEO Dataset Finder
GEO series

METTL1 relays the tumor-promoting signal flow from senescent CAFs by modulating RNA m7G modifications with SASP-related cytokines

GSE279907 Homo sapiens Expression profiling by high throughput sequencing; Other 6 samples Submitted 2025/10/10 Platform GPL24676
Summary
Colorectal cancer (CRC) remains a significant contributor to global cancer-related mortality. The significant role of senescent cancer-associated fibroblasts (S-CAFs) in the progression of CRC has been acknowledged, while the mechanisms remain unclear. We employed RNA sequencing, m7G-MeRIP sequencing, and Luminex liquid suspension chip assays to elucidate the epigenetic changes induced by S-CAFs. Our findings revealed a significant downregulation of METTL1 in CRC tissues, particularly in older patients, which correlates with poor prognosis. S-CAFs modulate METTL1 expression and m7G methylation, leading to epigenetic reprogramming that enhances tumor proliferation and invasion. The secretion of SASP cytokines PDGF-BB and TNF-α by S-CAFs was identified as key mediators of this process. The use of inhibitors such as rapamycin, Typhostin, and Infliximab demonstrated the potential to reverse epigenetic changes and inhibit CRC progression. Our study investigated the role of METTL1-mediated transcriptome reprogramming in the crosstalk between cancer cells and S-CAFs, offering novel insights into the complex mechanisms underlying tumor progression and providing a foundation for developing targeted therapies. Furthermore, our research paved the way for innovative therapeutic strategies that may improve outcomes for CRC patients, especially those with early-onset disease.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE279907_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 PRJNA1175362 and SRA study SRP539669. 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.