← BioTransfer GEO Dataset Finder
GEO series

Mutant TP53 hijacks RNA-splicing factor RBM28 to suppress double-strand RNA triggered antitumor immunity

GSE303217 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2026/04/23 Platform GPL24676
Summary
TP53 mutation may not only compromise its multifaceted tumor-suppressive functions but confer oncogenic properties. Here, we demonstrate that DNA-binding domain mutations of TP53 unexpectedly confer a transcriptional regulatory function, directly driving RNA-splicing factor RBM28 overexpression. Overexpressed RBM28 excessively splices transposon elements, inhibiting dsRNA formation, thereby suppressing dsRNA-triggered type I IFN signaling and subsequent anti-tumor immunity. We demonstrate in mouse tumorigenesis models and human multi-stage esophageal cancer development that mutp53-driven aberrant RBM28/dsRNA/IFN axis plays a crucial role in cancer initiation, progression and resistance to immune checkpoint blockade (ICB) therapy through innate immune suppression. Pan-cancer analysis indicates that this mechanism underlies ICB resistance in most cancers. Pharmacological restoration of normal p53 conformation or targeted RNA-splicing inhibition enhances anti-tumor immunity and ICB efficacy. Collectively, our study has unveiled a novel function of mutp53 in establishing immunosuppressive tumor microenvironment, which provides an actionable framework for new avenue for intervention and therapy in TP53-mutated cancers.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE303217_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 PRJNA1294350 and SRA study SRP602467. 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.