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41BB agonist targeted to fibroblast activation protein α synergizes with radiotherapy in murine breast tumor

GSE255242 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/02/19 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 12 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
Mus musculus (mouse)
Samples
12 samples
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
4-1BB agonist targeted to fibroblast activation protein α synergizes with radiotherapy to treat murine breast tumor modelsJournal for immunotherapy of cancer · 2025
Summary (written by the submitters)
Background: Ionizing radiation (IR) is a double-edge sword for immunotherapy as it may cause both immunosuppressive and immunostimulatory effects. The interactions of IR with the tumor microenvironment (TME) is a key factor for this balance. Fibroblast activation protein (FAP) is expressed on the surface of CAFs in many cancer types and its presence is associated with poor immune response to immune checkpoint blockade in patients.
Read the full summary ↓
We hypothesize that IR increases FAP expression in CAFs, therefore the combination of IR with targeted immunomodulators such as an agonistic FAP-4-1BBL bispecific antibody fusion protein could enhance the immune-mediated antitumoral effect of these treatments given in combination. Methods: Murine transplantable TS/A tumor cells line was used to investigate increases in FAP expression in tumors after irradiation by IHQ and RT-PCR. We treated bilateral tumor-bearing mice in which only one of the lesions was locally irradiated (2 × 6 Gy) given alone or in combination with a systemic administration of the FAP-4-1BBL bispecific construct. Tumor sizes were followed over time and in the cellular composition microenvironment (TME) was assessed by immunochemistry and multiplex tissue immunofluorescence. Selective depletions of immune cell populations were used to delineate the immune system requirements for efficacy. Antibody of interest was labeled and tracked its distribution by CT. Colorectal carcinoma samples were also validated. Results: Irradiation of TS/A+CAF tumors showed clear increases of FAP expression levels after local irradiation. The suboptimal radiotherapy regimen in combination with FAP targeted 4-1BBL worked to attain primary tumor control as well as partial abscopal effect. Immune landscape analysis showed an effector and proinflammatory phenotype with an increased infiltration of immune cells. The antitumoral mechanism relied on CD8+ T cells, IFN-I, IFN-γ and CD137 expression. Biodistribution studies of bispecific antibody performed indicated enhanced tumor targeting after tumor irradiation. Human sample results confirmed enhanced immune infiltration and FAP expression after radiotherapy treatment. Conclusion: Our data provides a proof- of- concept and mechanistic insights pertaining the therapeutic efficacy of bispecific FAP-41BBL combined with local radiotherapy.
Published in
4-1BB agonist targeted to fibroblast activation protein α synergizes with radiotherapy to treat murine breast tumor models
Garate-Soraluze E, Serrano-Mendioroz I, Fernández-Rubio L et al. · Journal for immunotherapy of cancer 2025 · PMID 39933836 · doi:10.1136/jitc-2024-009852
This dataset
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.

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 GSE255242_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1074239 and SRA study SRP488611. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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