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Targeting ATR signaling in sarcoma with homologous recombination deficiency

GSE299349 Homo sapiens (human) RNA-seq (gene expression) 68 samples Submitted 2026/06/04 Platform GPL24676Platform GPL34281
At a glance

RNA-seq (gene expression) · human · 68 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
68 samples: 5 conditions, mostly with about 12 replicates eachGroups 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.
Summary (written by the submitters)
Homologous recombination deficiency (HRD) has emerged as a key vulnerability in selected cancer types and is associated with response to platinum and PARPi-based treatment strategies. However, additional biomarkers and targeted therapy options are needed to broaden the range of patients that could benefit from this therapeutic niche.
Read the full summary ↓
Here, we show that the SARC-HRD signature, composed of ten genes of the homologous recombination repair pathway, stratifies a cohort of sarcoma patients, and associates with genomic biomarkers of HRD, with disease progression and with the CINSARC prognostic signature. Equivalently to CINSARC, high levels of SARC-HRD are associated with poor metastasis-free survival, underscoring the potential of SARC-HRD to predict disease outcome. By pharmacotyping patient-derived cell models, we identified promising drug targets within the DNA damage response for sarcoma with HRD traits. Inhibition of ATR, CHK1 and WEE1 elicited synthetic lethality in sarcoma cells with HRD, which concomitantly showed an upregulation of ATR signaling. Combinatorial drug testing further revealed synergistic drug combinations between ATRi, WEE1i, PARP1/2i and chemotherapeutic agents with potential clinical impact. Mechanistically, targeting ATR signaling at multiple levels induced a replication defect and apoptotic cell death. Taken together, our results demonstrate the therapeutic benefit of targeting DDR mechanisms in sarcoma with HRDness traits and their potential clinical utility for treating a broader spectrum of tumor types.
This dataset
Open GSE299349 in finder → Find more human RNA-seq datasets → Soft tissue sarcoma landscape →
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 GSE299349_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 PRJNA1273954 and SRA study SRP590928. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 conditions, mostly with about 12 replicates each
MFS ×14 UPS ×13 SS ×12 LMS ×12 MPNST ×11 USZ-20_REA ×1 USZ-21_LG ×1 USZ-23_EMC ×1 +3 more

Supports a between-group comparison across 62 samples.

How we read this: 5 replicated groups read from 68 sample titles; they account for 62 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

+ 28 more — browse all 68 samples with per-sample file links →

More Soft tissue sarcoma datasets

Search all human RNA-seq datasets in GEO →

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