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Tumor-localized CD40 agonism with MP0317, an FAPxCD40 DARPin, reprograms the tumor microenvironment - results of a Phase 1 monotherapy study

GSE287512 Homo sapiens (human) RNA-seq (gene expression) 38 samples Submitted 2025/11/21 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 38 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
38 samples: 38 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)
This Phase 1 dose-escalation study evaluated MP0317 (FAP x CD40 DARPin) in adults with advanced solid tumors (n=46; 0.03–10 mg/kg IV weekly or every-3-weeks). Primary outcome measure was safety; secondary/exploratory outcome measures included antitumor activity, pharmacokinetics and pharmacodynamics. Most treatment-related adverse events were of Grade 1–2 (95%) and a maximum tolerated dose was not reached.
Read the full summary ↓
One patient achieved an unconfirmed partial response and 14 patients stable disease. MP0317 serum pharmacokinetics confirmed extended half-life properties; terminal half-life estimates increased with dose and ranged from 21.8–120 hours. Paired tumor biopsies confirmed colocalization of MP0317 with FAP and CD40. Activation of the CD40 pathway in the tumor microenvironment was shown by increased infiltration of antigen-presenting, plasma, and T follicular helper cells, dendritic cell maturation, IFN signaling, and circulating immune markers. Collectively, these data confirm a favorable safety profile for MP0317 and support further clinical evaluation in combination with complementary immunotherapies.
This dataset
Open GSE287512 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 GSE287512_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 PRJNA1213125. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
38 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 38 sample titles: 38 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
Datasets on a similar topic

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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.