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Immunosuppressive microenvironment restrains chemotherapy efficacy in liver metastases of triple-negative breast cancer

GSE276098 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/06/25 Platform GPL23479
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 5 × pre_Live vs 5 × post_Live vs 3 × pre_SC vs 3 × post_SCGroups 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
Immunosuppressive microenvironment of liver restrains chemotherapeutic efficacy in triple-negative breast cancerJournal for immunotherapy of cancer · 2025
Summary (written by the submitters)
This study investigates the role of the immune microenvironment in the efficacy of chemotherapy for triple-negative breast cancer (TNBC) liver metastases compared to primary tumors. Using mouse models, we assessed chemotherapeutic efficacy and characterized intratumoral T lymphocytes and macrophages via RNA sequencing, immunohistochemistry, and flow cytometry.
Read the full summary ↓
We found that liver metastases had a less effective response to chemotherapy compared to subcutaneous tumors, linked to reduced CD8+ T cell infiltration and macrophage activation. Chemotherapy induced an immunosuppressive shift, with neutrophil extracellular traps (NETs) accumulating in liver metastases and macrophages and T cells showing impaired functionality in the primary tumors. Combining macrophage activators or NETs inhibitors with chemotherapy improved outcomes. Our findings highlight the importance of tumor site-specific immune microenvironmental differences in chemotherapy responses and suggest that targeted therapies could enhance chemotherapy efficacy.
Published in
Immunosuppressive microenvironment of liver restrains chemotherapeutic efficacy in triple-negative breast cancer
Liu M, Qian M, Sun W et al. · Journal for immunotherapy of cancer 2025 · PMID 40050043 · doi:10.1136/jitc-2024-010871
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 GSE276098_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 PRJNA1154683 and SRA study SRP529713. Searching any of these in the dataset finder brings you back here.

Study design
5 × pre_Live vs 5 × post_Live vs 3 × pre_SC vs 3 × post_SC

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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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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.