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Intratumoral CD40 agonist sotigalimab in combination with pembrolizumab induces rapid activation of antigen presenting cells and drives anti-tumor responses in non-injected tumors in metastatic melanoma: Results of a phase 1/2 study

GSE324815 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 24 samples Submitted 2026/04/10 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 24 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Topic
MelanomaThis series is part of our curated briefing on it.
Samples
24 samples: 24 samples, each with a distinct title — no replicated groupsGroups 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.
Summary (written by the submitters)
Checkpoint inhibitors (CPIs) benefit metastatic melanoma (MM) patients, but resistance remains a challenge. This phase 1/2 (NCT02706353) study evaluated intratumoral sotigalimab (an anti-CD40 agonistic antibody) with pembrolizumab in 32 CPI-naïve MM patients. Primary endpoints included determining safety and tolerability, the recommended phase 2 dose (RP2D) of sotigalimab, and the objective response rate (ORR).
Read the full summary ↓
The most common adverse events (AEs) related to sotigalimab were injection-site reactions, pruritus, and fatigue. The ORR was 47% and the disease control rate (DCR) was 91% for all patients, and 50% and 92% at the RP2D, respectively. Multiomic biomarker analyses of tumor and blood samples collected before and during treatment demonstrated that sotigalimab effectively engaged the CD40 pathway, boosting the infiltration and activation of myeloid cells, including CD11c+DC-LAMP+ dendritic cells (DCs) and macrophages. The combination therapy activated both innate and adaptive immunity, in both injected and non-injected tumors. TCR sequencing analysis showed increased T-cell clonality with expanded new clones shared between injected and non-injected tumors. Clinical responses correlated with these immunologic changes, but not with baseline immunological features associated with response to anti-PD1 monotherapy. In the B16 melanoma mouse model, single- cell RNA sequencing analysis showed that the combination therapy enhanced antitumor immunity and reduced the immunosuppressive tumor environment. These findings suggest that intratumoral sotigalimab may enhance anti-PD1 therapy, supporting the need for further randomized phase 2 trials to better evaluate its therapeutic potential in the 'in situ' immunization approach.
This dataset
Open GSE324815 in finder → Find more human ChIP / ATAC / CUT&Tag datasets → Melanoma landscape →
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 GSE324815_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1437101 and SRA study SRP683479. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
24 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 24 sample titles: 24 distinct titles with little repetition. 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
More Melanoma datasets

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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.