← BioTransfer GEO Dataset Finder
GEO series

Investigation of tumor heterogeneity using single cell transcriptomics in Von Hippel-Lindau related renal cancer

GSE254444 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2026/02/11 Platform GPL24676
Summary
Von Hippel-Lindau (VHL) dìsease is a rare inherited disorder caused by the loss of the VHL gene and characterized by benign and malignant tumors in several organs. Patients with VHL disease have risk of developing multiple primary clear cell renal carcinomas (ccRCC). Patients are managed with multiple sessions of renal surgery causing renal failure and complication of dialysis or systemic progression and cancer-specific mortality. Our hypothesis states that multiple independent tumors from one VHL patient may display inter-tumoral heterogeneity characterized by differences in tumor grade, metabolic, stromal, and immune cell features that may cause different response to systemic therapy. We took advantage of a nephrectomy from one VHL patient to investigate molecular and microenvironmental factors in five independent primary tumors.
Published in
Distinct genomic, microenvironmental, and nephron signatures in VHL kidney cysts and tumors
Rowe I, Corea F, Pipitone GB et al. · Scientific reports 2026 · PMID 41513925 · doi:10.1038/s41598-025-34381-w
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE254444_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 PRJNA1070590 and SRA study SRP486520. 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.