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Phase 1 trial of durvalumab (anti-PD-L1) in combination with lenalidomide in relapsed/refractory cutaneous T cell lymphoma

GSE271668 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2024/07/11 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 24 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
24 samples: 24 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
Phase 1 trial of durvalumab (anti-PD-L1) combined with lenalidomide in relapsed/refractory cutaneous T-cell lymphomaBlood advances · 2025
Summary (written by the submitters)
T cells in cutaneous T-cell lymphoma (CTCL) are functionally exhausted, expressing immune inhibitory molecules such as PD1 and PD-L1. Durvalumab selectively targets PD-L1 on exhausted T cells and distinct cells within the CTCL tumor microenvironment (TME) and may restore an anti-tumor immune response. The oral immunomodulator lenalidomide, which has shown activity in CTCL, may enhance immune checkpoint blockade by durvalumab.
Read the full summary ↓
We initiated a phase 1/2 clinical trial of lenalidomide and durvalumab in patients with refractory/advanced CTCL (NCT03011814). Primary objectives were to assess safety and tolerability and identify the maximum tolerated dose/recommended phase 2 dose. Secondary and tertiary objectives were to investigate efficacy and the effects on the TME. Thirteen patients enrolled in sequential cohorts received fixed dose durvalumab and dose escalation of lenalidomide. Thirteen patients were evaluable for toxicities and 12 for response in phase 1. No serious adverse events (AEs) or dose-limiting toxicities (DLTs) were observed during cycles 1-3 (DLT evaluation period). The most frequent AEs were tumor flare, fatigue, neutropenia and leukopenia. Three patients developed grade 1/2 autoimmune thyroiditis that resolved with treatment. Median cycles of treatment were 11 (range, 3-42+). Median duration of response was 25.5 (range 8-36.5) months. Anti-PD-L1/lenalidomide showed clinical activity; there were 7 partial responses, 4 stable disease and 1 progressive disease. Adaptive and innate immune signatures potentially predictive of response seen in gene expression profiling of serial skin samples were downregulation of TNF-alpha signaling via NFκB, IFN-gamma, and PI3-AKT-mTOR signaling pathways in responders vs up-regulation of MYC targets and pro-inflammatory pathways in non-responders. Profiling of immune cell compositions revealed changes in individual immune cell clusters based on treatment status and response.
Published in
Phase 1 trial of durvalumab (anti-PD-L1) combined with lenalidomide in relapsed/refractory cutaneous T-cell lymphoma
Querfeld C, Palmer J, Han Z et al. · Blood advances 2025 · PMID 39951620 · doi:10.1182/bloodadvances.2024014655
This dataset
Open GSE271668 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 GSE271668_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 PRJNA1132888 and SRA study SRP518444. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39951620) ↗
Study design
24 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 24 sample titles: 24 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
Datasets on a similar topic

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