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A single-arm trial of guselkumab in the treatment of adults with pityriasis rubra pilaris (PRP)

GSE235570 Homo sapiens (human) RNA-seq (gene expression) 92 samples Submitted 2024/03/31 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 92 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
92 samples: 92 samples, each with a distinct title — no replicated groupsGroups 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)
Importance: There is no FDA-approved treatment for pityriasis rubra pilaris and it is common for patients to fail several systemic options. Involvement of IL-23 pathway suggests a potential therapeutic target. Objective: To determine whether guselkumab, an IL-23p19 inhibitor, provides clinical improvement for subjects with PRP. Design: Single-arm, investigator-initiated trial from October, 2019 to August, 2022.
Read the full summary ↓
Primary outcome was observed at 24 weeks, and additional patient follow-up occurred at 36 weeks. Participants: 14 adult subjects with moderate-to-severe pityriasis rubra pilaris were enrolled; 12 completed the trial. Age- and sex-matched healthy controls provided skin and blood for proteomic and transcriptomic studies. Intervention: Guselkumab is a humanized IgG1 lambda antibody that selectively binds and inhibits the p19 subunit of interleukin-23. Subcutaneous injections were performed at the FDA-approved dosing schedule for psoriasis over a 24-week period. Main Outcomes and Measures: The primary outcome was mean change in psoriasis area and severity index (PASI) at week 24. Secondary outcomes included improvement in body surface area, quality of life, time to improvement, sustained remission at 36 weeks, and correlation to germline mutations and cytokine expression. Results: An intention-to-treat analysis was performed for our cohort of ten males and six females, with a median age of 59.5 years. The mean improvement in psoriasis area and severity index, body surface area, and dermatology life quality index (DLQI) were 18.9 ± 12.5 (p<0.001), 40.5 ± 36.5 (p=0.003), and 12.2 ± 7.8 (p<0.001), respectively. 11 subjects showed sustained remission off therapy, evidenced by decreased PASI scores between week-24 and week-36. No subjects had CARD14 gene variations. There was one serious adverse event, unrelated to study drug. Proteomics and gene expression profiles improved with clinical improvement. Conclusion and Relevance: Guselkumab appears to be efficacious in the treatment of refractory PRP.
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 GSE235570_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 PRJNA986483 and SRA study SRP445351. Searching any of these in the dataset finder brings you back here.

Study design
92 samples, each with a distinct title — no replicated groups

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

How we read this: Read from 92 sample titles: 92 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

+ 52 more — browse all 92 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.