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Preclinical efficacy of tasquinimod-based combinations in advanced myeloproliferative neoplasms (MPN) in blastic phase

GSE301154 Homo sapiens (human) RNA-seq (gene expression) 32 samples Submitted 2025/07/10 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 32 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
Myeloproliferative neoplasmsThis series is part of our curated briefing on it.
Samples
32 samples
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
Preclinical efficacy of tasquinimod-based combinations in advanced myeloproliferative neoplasms in blastic phaseBlood advances · 2025
Summary (written by the submitters)
The alarmins, S100A8 (A8) and S100A9 (A9), are low molecular weight proteins belonging to the S100 protein family. A8 and A9 are secreted into the extracellular space and plasma, where they interact with TLR4 (Toll like receptor 4), RAGE (receptor for advanced glycation end products) and CD33. In present studies, we determined the preclinical efficacy of tasquinimod (TQ) against advanced MPN cell lines and patient-derived (PD) CD34+ blastic phase (BP, >5% blasts in PB) MPN cells.
Read the full summary ↓
TQ induced loss of viability in cell lines and PD MPN-BP cells, but not in normal CD34+ progenitor cells. In TQ-treated PD MPN-AML cells, RNA-Seq analysis showed negative enrichment of the gene-sets of MYC and E2F targets, IL6-JAK-STAT3 signaling, and of inflammatory response. In phenotypically defined, PD, CD34+ MPN-BP stem progenitor cells, CyTOF analysis showed that TQ reduced expression of proteins including A8, A9, and MPO, while increasing expression of GFI1, p21 and cleaved PARP. Co-treatment with TQ and ruxolitinib or BET inhibitor induced synergistic lethality in advanced MPN-BP cells. Monotherapy with TQ significantly improved survival of immune-depleted NSG mice engrafted with PDX cells of MPN-AML. Notably, cotreatment with TQ and ruxolitinib or OTX015 induced significantly greater survival than treatment with single agents in the NSG mice engrafted with the PDX cells. These findings clearly demonstrate the preclinical efficacy of TQ in advanced MPN-BP cells and create the rationale to further interrogate the efficacy of TQ-based combinations with the current, front-line therapies or novel agents in advanced MPNs with excess blasts.
Published in
Preclinical efficacy of tasquinimod-based combinations in advanced myeloproliferative neoplasms in blastic phase
Fiskus W, Masarova L, Mill CP et al. · Blood advances 2025 · PMID 40829105 · doi:10.1182/bloodadvances.2025016898
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 GSE301154_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 PRJNA1284199 and SRA study SRP596238. Searching any of these in the dataset finder brings you back here.

Samples in this study

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