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Identification of two genes associated with recurrence in Paget’s disease and construction of a predictive model

GSE328302 Homo sapiens (human) RNA-seq (gene expression) 39 samples Submitted 2026/04/21 Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 39 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)
Samples
39 samples: 28 × MPD vs 11 × EMPDGroups 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)
In summary, RNA‑seq analysis revealed distinct functional profiles between MPD and EMPD, with recurrence in MPD associated with developmental and differentiation pathways, while EMPD recurrence was linked to immune and inflammatory processes. Using WGCNA, we identified KLF13 and TIA1 as hub genes, which were subsequently validated as independent prognostic biomarkers in internal and external datasets.
Read the full summary ↓
A risk‑score model based on these genes effectively stratified patients by outcome. Further studies are needed to elucidate the detailed molecular mechanisms underlying their roles in PD progression and recurrence.
This dataset
Open GSE328302 in finder → Find more human RNA-seq datasets →
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 GSE328302_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 PRJNA1454522. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
28 × MPD vs 11 × EMPD

Supports a between-group comparison across 39 samples.

How we read this: 2 replicated groups read from 39 sample titles; they account for 39 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
Datasets on a similar topic

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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.