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Dauricine regulates SAT1 to induce ferroptosis and overcome osimertinib resistance in Non-small cell lung cancer

GSE276807 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/08/06 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 12 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
Lung cancerThis series is part of our curated briefing on it.
Samples
12 samples: 3 × PC9-OR, Control vs 3 × PC9-OR, OSI vs 3 × PC9-OR, DAC vs 3 × PC9-OR, DAC+OSIGroups 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
Dauricine Overcomes Osimertinib Resistance in Lung Cancer by Inducing Ferroptosis via Stabilizing SAT1Cancer science · 2025
Summary (written by the submitters)
Targeted tyrosine kinase inhibitors (TKIs) play a crucial role in the treatment of lung cancer; however, nearly all patients face the challenge of TKI resistance. Unraveling the molecular mechanisms of TKI resistance and effectively addressing it is a pressing clinical issue. We have successfully established a third-generation TKI-resistant lung cancer cell line and organoids, and identified batatasin alkaloid from 302 traditional Chinese medicines as capable of effectively overcoming osimertinib resistance.
Read the full summary ↓
Our scientific hypothesis posits that batatasin alkaloid improves osimertinib resistance by modulating ACSL1 to influence lipid peroxidation-induced ferroptosis. This project aims to utilize various lung cancer models to elucidate the relationship between osimertinib resistance and ferroptosis in lung cancer, uncover the specific molecular mechanisms by which batatasin alkaloid regulates ACSL1, and explore the feasibility of batatasin alkaloid in improving osimertinib resistance. This project will unveil novel molecular mechanisms of TKI resistance in lung cancer and explore the application of traditional Chinese medicine in overcoming resistance to targeted therapy for lung cancer.
Published in
Dauricine Overcomes Osimertinib Resistance in Lung Cancer by Inducing Ferroptosis via Stabilizing SAT1
Men B, Chen Z, Ge H et al. · Cancer science 2025 · PMID 40485050 · doi:10.1111/cas.70113
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 GSE276807_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 PRJNA1159134 and SRA study SRP531814. Searching any of these in the dataset finder brings you back here.

Study design
3 × PC9-OR, Control vs 3 × PC9-OR, OSI vs 3 × PC9-OR, DAC vs 3 × PC9-OR, DAC+OSI

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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 Lung cancer datasets

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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.