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Synergistic Activity of Adefovir Dipivoxil and Venetoclax to Target the Bioenergetic Metabolism of Acute Myeloid Leukemia

GSE261921 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2024/03/24 Platform GPL24676
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)
Topic
Acute myeloid leukemiaThis series is part of our curated briefing on it.
Samples
24 samples: 24 × human AML CD34+ cellsGroups 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)
The overall outcome of patients with acute myeloid leukemia (AML) remains poor and more effective strategies are urgently needed. Adefovir dipivoxil (ADV) is an oral prodrug of the nucleotide analogue adefovir that inhibits viral DNA polymerase and is a Food and Drug Administration (FDA)-approved drug for the treatment of hepatitis B virus.
Read the full summary ↓
Preliminary evidence of the anti-leukemic activity of ADV was recently reported in a patient with acute promyelocytic leukemia. Herein we report on the anti-leukemic activity of ADV, alone and in combination with venetoclax (VEN), an oral FDA-approved BCL-2 inhibitor, for the treatment of AML. We observed a significant increase in apoptosis and reduction of cell growth both in AML cell lines and CD34+ blasts, but not in healthy donor CD34+ cells, after exposure to ADV. The combination of ADV and VEN had synergistic anti-leukemic activity and significantly reduced leukemia stem cell (LSC) burden and prolonged survival of AML murine (i.e., MllPTD/WT/Flt3ITD/ITD) and patient derived xenograft (PDX) models, likely by interfering with the bioenergetic metabolism of leukemic blasts and decreasing their apoptotic threshold. Our results provide a rationale for translating this “all oral” regimen to the clinic for treatment of AML patients, especially those requiring low intensity therapy.
This dataset
Open GSE261921 in finder → Find more human RNA-seq datasets → Acute myeloid leukemia landscape →
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 GSE261921_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 PRJNA1089583. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
24 × human AML CD34+ cells

Supports a between-group comparison across 24 samples.

How we read this: 1 replicated groups read from 24 sample titles; they account for 24 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
More Acute myeloid leukemia datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

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.