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Itacitinib for Prevention of Graft-Versus-Host Disease and Cytokine Release Syndrome with T-cell Replete Peripheral Blood Haploidentical Transplantation

GSE282021 Homo sapiens (human) RNA-seq (gene expression) 92 samples Submitted 2024/11/15 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.
Paper
Itacitinib for prevention of graft-versus-host disease and cytokine release syndrome in haploidentical transplantationBlood · 2025
Summary (written by the submitters)
Haploidentical hematopoietic cell transplantation (haplo-HCT) is an increasingly used treatment for hematologic malignancies. Although post-transplant cyclophosphamide (PtCy) has improved graft vs. host disease (GvHD) prophylaxis in haplo-HCT, patients continue to experience life-threatening complications. IFN-γ and IL-6 are central in the pathophysiology of GvHD and cytokine release syndrome (CRS), and both cytokines signal through Janus kinase (JAK)-1.
Read the full summary ↓
We tested the effect of adding the JAK-1 selective inhibitor, itacitinib, to PtCy-haplo-HCT to mitigate these complications and improve overall survival. This open-label, single-arm study evaluated the safety and efficacy of itacitinib combined with standard GvHD prophylaxis after haplo-HCT. A total of 42 patients were treated with itacitinib 200 mg daily from day -3 through +100 or +180, followed by a taper. Itacitinib resulted in low CRS grades, all patients had grade 0 (22%) or grade 1 (78%) CRS and there were no cases of grade 2-5 CRS. There were no cases of primary graft failure. No patients developed grade 3-4 aGvHD through day +180. The cumulative incidence of grade 2 aGvHD at day +100 was 21.9%. The 1-year cumulative incidence of moderate or severe chronic GvHD was 5%. The cumulative incidence of relapse at 2 years was 14%. Overall survival (OS) at 1 year was 80%. The cumulative incidence of nonrelapse mortality at day 180 was 8%. Itacitinib, when added to standard GvHD prophylaxis, was well tolerated and resulted in low rates of CRS, acute and chronic GvHD, NRM and encouraging rates of GvHD-free relapse-free survival (GRFS) and OS after haplo-HCT.
Published in
Itacitinib for prevention of graft-versus-host disease and cytokine release syndrome in haploidentical transplantation
Abboud R, Schroeder MA, Rettig MP et al. · Blood 2025 · PMID 39576962 · doi:10.1182/blood.2024026497
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 GSE282021_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 PRJNA1186671. Searching any of these in the dataset finder brings you back here.

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

Supports a case/control comparison: 64 samples read as cases, 20 as controls.

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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