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E7386 enhances lenvatinib’s antitumor activity in preclinical models and human hepatocellular carcinoma.

GSE299215 Mus musculus (mouse) RNA-seq (gene expression) 44 samples Submitted 2025/08/21 Platform GPL30173Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 44 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
Mus musculus (mouse)
Topic
Hepatocellular carcinomaThis series is part of our curated briefing on it.
Samples
44 samples: 12 conditions, mostly with about 4 replicates eachGroups 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
E7386 Enhances Lenvatinib's Antitumor Activity in Preclinical Models and Human Hepatocellular CarcinomaClinical cancer research : an official journal of the American Association for Cancer Research · 2025
Summary (written by the submitters)
To study the antitumor and antiangiogenic activity of combining E7386 (an oral protein-protein interaction inhibitor targeting CREB-binding protein (CBP)/β-catenin) with lenvatinib and explore a novel mechanism of action of E7386 that boosts antitumor response.
Published in
E7386 Enhances Lenvatinib's Antitumor Activity in Preclinical Models and Human Hepatocellular Carcinoma
Mesropian A, Gris-Oliver A, Balaseviciute U et al. · Clinical cancer research : an official journal of the American Association for Cancer Research 2025 · PMID 40986544 · doi:10.1158/1078-0432.CCR-25-0725
This dataset
Open GSE299215 in finder → Find more RNA-seq datasets → Hepatocellular carcinoma 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 GSE299215_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 PRJNA1273097 and SRA study SRP590410. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40986544) ↗
Study design
12 conditions, mostly with about 4 replicates each
Huh7, DMSO-treated, ×4 Huh7, E7386-treated, ×4 SNU398, DMSO-treated, ×4 SNU398, E7386-treated, ×4 Hep3B, DMSO-treated, ×4 Hep3B, E7386-treated, ×4 SNU387, DMSO-treated, ×4 SNU387, E7386-treated, ×4 +5 more

Supports a between-group comparison across 43 samples.

How we read this: 12 replicated groups read from 44 sample titles; they account for 43 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

+ 4 more — browse all 44 samples with per-sample file links →

More Hepatocellular carcinoma datasets

Search all 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.