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Platinum-resistant high-grade serous ovarian carcinoma

GSE274659 Homo sapiens (human) Non-coding RNA profiling 68 samples Submitted 2025/09/03 Platform GPL24676Platform GPL15520Platform GPL28038Platform GPL18573
At a glance

Non-coding RNA profiling · human · 68 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Homo sapiens (human)
Topic
Ovarian cancerThis series is part of our curated briefing on it.
Samples
68 samples: 49 distinct titles, 1 of them repeatedGroups 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
Overcoming platinum-resistant ovarian cancer targeting the activated JAK-STAT pathways via extracellular vesiclesCommunications biology · 2025
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Overcoming platinum-resistant ovarian cancer targeting the activated JAK-STAT pathways via extracellular vesicles
Suzuki K, Yokoi A, Yoshida K et al. · Communications biology 2025 · PMID 40883550 · doi:10.1038/s42003-025-08771-9
This dataset
Open GSE274659 in finder → Find more human datasets → Ovarian cancer 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 GSE274659_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 ↗

Also filed as BioProject PRJNA1147589 and SRA study SRP523497. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40883550) ↗
Study design
49 distinct titles, 1 of them repeated
RNA-Seq - Patient ×20

Supports a case/control comparison: 59 samples read as cases, 5 as controls.

How we read this: Read from 68 sample titles: 49 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

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

More Ovarian cancer datasets

Search all human datasets in GEO →

Share this dataset

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.