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Divergent therapeutic and prognostic impacts of immunogenic features in undifferentiated pleomorphic sarcoma and myxofibrosarcoma

GSE285944 Homo sapiens (human) RNA-seq (gene expression) 23 samples Submitted 2025/06/30 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 23 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)
Topic
Soft tissue sarcomaThis series is part of our curated briefing on it.
Samples
23 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
Divergent therapeutic and prognostic impacts of immunogenic features in undifferentiated pleomorphic sarcoma and myxofibrosarcomaCancer immunology, immunotherapy : CII · 2025
Summary (written by the submitters)
Undifferentiated pleomorphic sarcoma (UPS) and myxofibrosarcoma (MFS) are genetically complex soft tissue sarcomas with distinct morphological features. Treatment typically involves surgery, often combined with neoadjuvant chemo- or radiotherapy. To better understand the immunobiology of these sarcomas and its associations with treatment response and prognosis, we performed transcriptomic and immunophenotypic profiling.
Read the full summary ↓
RNA sequencing was performed on 13 UPS and 10 MFS, and immunological profiles were compared with soft tissue sarcoma data from The Cancer Genome Atlas (n = 206 including 44 UPS and 17 MFS). Immune contextures were further evaluated in 14 UPS and 15 MFS using imaging mass cytometry. Characterization of T cell and macrophage infiltration in tumors was further assessed in 23 UPS and 22 MFS through multispectral immunofluorescence and immunohistochemical analysis. UPS and MFS demonstrated immunogenic features compared to other soft tissue sarcomas, with subsets of UPS and MFS demonstrating high T cell infiltration, while UPS demonstrated a higher infiltration by myeloid cells as compared to MFS. Prognostically, T cells and CD68+CD163+ macrophages were associated with metastasis-free survival in UPS but not in MFS. Notably, in UPS, neoadjuvant radiotherapy appeared to induce cytotoxic T cell infiltration and depletion of myeloid cells, whereas these effects were not observed in MFS. These findings highlight important differences in the immunobiology of UPS and MFS with therapeutic and prognostic implications. These differences should be taken into account given the growing availability of immunotherapeutic options for treating patients with soft tissue sarcomas.
Published in
Divergent therapeutic and prognostic impacts of immunogenic features in undifferentiated pleomorphic sarcoma and myxofibrosarcoma
van Oost S, Meijer DM, Erdem ZB et al. · Cancer immunology, immunotherapy : CII 2025 · PMID 40601026 · doi:10.1007/s00262-025-04123-y
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 GSE285944_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 PRJNA1207028 and SRA study SRP555524. Searching any of these in the dataset finder brings you back here.

Study design
A cohort of 23 individual samples

The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Sample titles run L6085 … L5042 and carry no group information.

Samples in this study
More Soft tissue sarcoma datasets

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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.