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A PD-1-targeted, receptor-masked IL-2 immunocytokine that engages IL-2Rα strengthens T cell-mediated anti-tumor therapies

GSE250205 Mus musculus (mouse) RNA-seq (gene expression) 32 samples Submitted 2024/08/22 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 32 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
32 samples: 32 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.
Paper
A PD-1-targeted, receptor-masked IL-2 immunocytokine that engages IL-2Rα strengthens T cell-mediated anti-tumor therapiesCell reports. Medicine · 2024
Summary (written by the submitters)
IL-2 is a cytokine approved for the treatment of melanoma and renal cell carcinoma and induced complete, durable tumor regression in some patients. ​However, its broader use in cancer immunotherapy has been limited by severe toxicity. A new generation of IL-2 therapies with decreased binding to IL-2 receptor alpha chain (IL-2Rα), intended to mitigate toxicity and Treg expansion, are being developed.
Read the full summary ↓
However to date these have had limited clinical success. Here, we demonstrate that the ability to engage IL-2Rα is critical for the anti-tumor activity of a systemic IL-2 therapy. Despite inducing systemic expansion of CD8+ T cells and NK cells over Tregs, an IL-2 mutein with abolished IL-2Rα binding demonstrated limited anti-tumor efficacy compared to wild-type IL-2. Based on these findings, we developed a PD-1-targeted, receptor-masked IL-2 immunocytokine, PD1-IL2Ra-IL2, with attenuated systemic IL-2 activity but maintained the capacity to engage IL-2Rα on PD-1+ T cells. PD1-IL2Ra-IL2 (REGN10597) shows PD-1-targeting-dependent IL-2 activity in vitro and drives selective expansion of tumor-infiltrating PD-1+ CD8+ T cells with vigorous effector profiles in vivo. PD1-IL2Ra-IL2 treated mice displayed no signs of systemic toxicities observed with unmasked IL-2 treatment, yet achieved robust tumor growth control. Finally, we demonstrate that PD1-IL2Ra-IL2 can be effectively combined with several other T cell-mediated immunotherapies (anti-PD-1, CD3 bispecific antibodies, and CAR-T cells) to potentiate antitumor responses. Collectively, these results provide unique insights into the functional mechanism of IL-2 based therapeutics and highlight the therapeutic potential of PD1-IL2Ra-IL2 as a novel targeted, receptor masked, and “α-maintained” IL-2 therapy for cancer treatment.
Published in
A PD-1-targeted, receptor-masked IL-2 immunocytokine that engages IL-2Rα strengthens T cell-mediated anti-tumor therapies
Wu J, Bloch N, Chang AY et al. · Cell reports. Medicine 2024 · PMID 39326410 · doi:10.1016/j.xcrm.2024.101747
This dataset
Open GSE250205 in finder → Find more mouse 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 GSE250205_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 PRJNA1052664 and SRA study SRP478166. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39326410) ↗
Study design
32 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 32 sample titles: 32 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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