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Macrophage sensitivity to reprogramming by bexmarilimab is shaped by the tumor microenvironment [scRNA-Seq]

GSE292824 Homo sapiens (human) Single-cell RNA-seq 10 samples Submitted 2025/05/22 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 10 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Homo sapiens (human)
Samples
10 samples: 5 × Breast cancer tumor tissue, patient vs 5 × Adjacent breast tissue, patientGroups 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
Macrophage sensitivity to bexmarilimab-induced reprogramming is shaped by the tumor microenvironmentJournal for immunotherapy of cancer · 2025
Summary (written by the submitters)
Tumor-associated macrophages (TAMs) adapt to the tumor microenvironment (TME), either aiding cancer eradication or promoting tumor growth and immune evasion. To manipulate TAMs therapeutically, a deep understanding of their interaction with the TME is essential. This study exploits a breast cancer patient-derived explant culture (PDEC) model to predict TMEs responsive to bexmarilimab, a macrophage reprogramming therapy showing clinical benefit in various solid tumors.
Read the full summary ↓
The PDEC model captured key aspects of bexmarilimab's action, validated a gene signature for predicting treatment sensitivity, and characterized responses in both tumor and adjacent cancer-free tissue. We identified three distinct treatment responses shaped by the local TME and macrophage phenotype, origin and localization. The inflammatory state of the TME was detected as the primary factor defining response to bexmarilimab. These findings emphasize the need for patient selection to maximize bexmarilimab's efficacy, particularly in immunologically cold tumors lacking late-stage activated TAMs and reveal the complexity of TAM targeting in cancer.
Published in
Macrophage sensitivity to bexmarilimab-induced reprogramming is shaped by the tumor microenvironment
Rannikko JH, Turpin R, Boström P et al. · Journal for immunotherapy of cancer 2025 · PMID 40379271 · doi:10.1136/jitc-2024-011292
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 GSE292824_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1241314 and SRA study SRP572743. Searching any of these in the dataset finder brings you back here.

Study design
5 × Breast cancer tumor tissue, patient vs 5 × Adjacent breast tissue, patient

Supports a between-group comparison across 10 samples.

How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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
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