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Salsalate improves the anti-tumor efficacy of Lenvatinib in MASH-driven hepatocellular carcinoma.

GSE282660 Homo sapiens (human) RNA-seq (gene expression) 36 samples Submitted 2025/02/01 Platform GPL30172Platform GPL18460
At a glance

RNA-seq (gene expression) · human · 36 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
Hepatocellular carcinomaThis series is part of our curated briefing on it.
Samples
36 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
Salsalate improves the anti-tumor efficacy of lenvatinib in MASH-driven hepatocellular carcinomaJHEP reports : innovation in hepatology · 2025
Summary (written by the submitters)
Rates of hepatocellular carcinoma (HCC) are increasing rapidly due to the epidemic of metabolic dysfunction-associated steatohepatitis (MASH). In addition to increased incidence, emerging evidence suggests that MASH driven HCC is associated with poor survival outcomes potentially due to the complex liver microenvironment which is characterized by hypoxia, steatosis, and fibrosis.
Read the full summary ↓
Lenvatinib, is a multi-tyrosine kinase inhibitor, that is a standard of care therapy for unresected HCC, but 5-year survival rates are less than 20%. Therefore, developing treatments that inhibit cancer growth kinetics and target the tumor microenvironment to improve the therapeutic response in MASH-HCC are needed. Salsalate is a rheumatoid arthritis therapy that stimulates the AMP-activated protein kinase (AMPK) increasing fatty acid oxidation while reducing de-novo lipogenesis, fibrosis and cell proliferation pathways. Thus, we hypothesized that Salsalate could improve the therapeutic efficacy of Lenvatinib in MASH-HCC. In the current study, we show that treatment of human HCC cells with clinically relevant concentrations of Lenvatinib and Salsalate synergistically suppress proliferation and clonogenic survival, activate AMPK and inhibit the mTOR-HIF1a and Erk1/2 signaling pathways. In orthotopic xenograft and MASH-HCC mouse models Lenvatinib and Salsalate combination therapy suppressed angiogenesis and steatosis and fibrosis. RNA-sequencing revealed combination therapy enhanced mitochondria fatty acid oxidation and suppressed glycolysis, angiogenesis, fibrosis and cell cycle progression with regulatory network analysis suggesting a potential role for Activating transcription factor 3 (ATF3) and ETS-proto-oncogene-1 (ETS1). These data suggest that Lenvatinib and Salsalate combination therapy may have therapeutic potential for MASH-HCC due to effective metabolic rewiring and growth inhibition, leading to improvements in the liver microenvironment and inhibition of HCC proliferation.
Published in
Salsalate improves the anti-tumor efficacy of lenvatinib in MASH-driven hepatocellular carcinoma
Tsakiridis EE, Ahmadi E, Gautam J et al. · JHEP reports : innovation in hepatology 2025 · PMID 40276482 · doi:10.1016/j.jhepr.2025.101354
This dataset
Open GSE282660 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 GSE282660_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 PRJNA1189564 and SRA study SRP547052. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40276482) ↗
Samples in this study

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