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Tumor Exosome-transmitted LncRNA CATED Promotes Platinum-resistant in High-grade Serous Ovarian Cancer

GSE282004 Homo sapiens (human) RNA-seq (gene expression) 17 samples Submitted 2025/09/03 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 17 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
Ovarian cancerThis series is part of our curated briefing on it.
Samples
17 samples: 6 conditions, mostly in triplicateGroups 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
Tumor Small Extracellular Vesicle-Transmitted LncRNA CATED Promotes Platinum-Resistance in High-Grade Serous Ovarian CancerAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
Summary (written by the submitters)
High-grade serous ovarian cancer (HGSOC) represents the most lethal type of gynecological cancer, with platinum resistance being a serious challenge in HGSOC treatment. Long non-coding RNA (lncRNA) plays critical regulatory roles in the occurrence and development of various cancers, including HGSOC. Here, using RNA sequencing of tumor exosomes from HGSOC patients, we identified lncRNA CATED was significantly upregulated in both tumors and tumor-derived exosomes in platinum-resistant HGSOC, and low CATED level correlated with good prognosis.
Read the full summary ↓
Functionally, CATED enhanced cisplatin resistance via promoting cell proliferation and decreasing apoptosis both in vitro and in vivo. These effects could also be transferred via CATED-overexpressing exosomes from donor cells and tumor exosomes from HGSOC patients. Mechanistically, CATED bound to and upregulated DHX36 via PIAS1-mediated SUMOylation at K105 site, and elevated DHX36 increased the downstream RAP1A protein levels by enhancing RAP1A mRNA translation, consequently activating MAPK pathway to promote platinum resistance in HGSOC. ASO-mediated knockdown of CATED reversed the platinum resistance in exosome-transferring mouse models through DHX36-RAP1A-MAPK pathway. Overall, these findings offer new insights into the critical roles of exosomal lncRNAs in platinum resistance, and indicate that CATED may be a potential target of HGSOC treatment.
Published in
Tumor Small Extracellular Vesicle-Transmitted LncRNA CATED Promotes Platinum-Resistance in High-Grade Serous Ovarian Cancer
Liu Y, Liu H, Zhu C et al. · Advanced science (Weinheim, Baden-Wurttemberg, Germany) 2025 · PMID 40492382 · doi:10.1002/advs.202505963
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 GSE282004_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 PRJNA1186597 and SRA study SRP545455. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in triplicate
Ovarian cancer/tumor/S ×4 Ovarian cancer/tumor/ ×3 SKOV3 cells, DHX36 RIP_input ×3 SKOV3 cells, DHX36 RIP_IP ×3 SKOV3 cells, Control ×2 SKOV3 cells, CATED overexpressing ×2

Supports a case/control comparison: 9 samples read as cases, 2 as controls.

How we read this: 6 replicated groups read from 17 sample titles; they account for 17 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
More Ovarian cancer datasets

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