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Safety, feasibility and pharmacodynamic activity of intratumoral injections of the agonist anti-CD137 (4-1BB) mAb urelumab in combination with nivolumab

GSE302752 Homo sapiens (human) RNA-seq (gene expression) 76 samples Submitted 2025/12/10 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 76 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
76 samples: 23 × C1D vs 23 × C2D vs 19 × C3D vs 11 × C4DGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Safety, Feasibility, and Pharmacodynamic Activity of Intratumoral Injections of the Agonist Anti-CD137 (4-1BB) mAb Urelumab in Combination with NivolumabClinical cancer research : an official journal of the American Association for Cancer Research · 2026
Summary (written by the submitters)
Intravenous dosing of the anti-CD137 (4-1BB) agonist monoclonal antibody urelumab is limited to 8 mg flat doses due to liver toxicity, thus reducing bioavailability. Here we explored intratumoral delivery of urelumab to increase bioavailability at the tumor, while reducing systemic exposure, in combination with systemic nivolumab (clinical trial INTRUST, NCT03792724).
Published in
Safety, Feasibility, and Pharmacodynamic Activity of Intratumoral Injections of the Agonist Anti-CD137 (4-1BB) mAb Urelumab in Combination with Nivolumab
Sanmamed MF, de Andrea CE, Ruiz-Guillamon D et al. · Clinical cancer research : an official journal of the American Association for Cancer Research 2026 · PMID 41543348 · doi:10.1158/1078-0432.CCR-25-2502
This dataset
Open GSE302752 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE302752_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1292104 and SRA study SRP601192. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41543348) ↗
Study design
23 × C1D vs 23 × C2D vs 19 × C3D vs 11 × C4D

Supports a between-group comparison across 76 samples.

How we read this: 4 replicated groups read from 76 sample titles; they account for 76 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study

+ 36 more — browse all 76 samples with per-sample file links →

Datasets on a similar topic

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.