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Epigenetic priming promotes acquisition of TKI resistance and oncogene amplification in human lung cancer [RNA-seq]

GSE254485 Homo sapiens (human) RNA-seq (gene expression) 22 samples Submitted 2025/02/26 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 22 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)
Samples
22 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
Epigenetic priming promotes acquisition of tyrosine kinase inhibitor resistance and oncogene amplification in human lung cancerbioRxiv : the preprint server for biology · 2025
Summary (written by the submitters)
In mammalian cells, gene copy number is tightly controlled to maintain gene expression and genome stability. However, a near-universal molecular feature across cancer types is oncogene amplification, which promotes cancer progression by dramatically increasing the copy number and expression of tumor-promoting genes. For example, in tyrosine kinase inhibitor (TKI)-resistant lung adenocarcinoma (LUAD), oncogene amplification occurs in over 40% of patients’ tumors.
Read the full summary ↓
Despite the prevalence of oncogene amplification in TKI-resistant tumors, the mechanisms facilitating oncogene amplification are not fully understood. Here, we find that LUAD tumors exhibit a unique chromatin signature demarcated by strong CTCF and cohesin deposition in drug-naïve tumors, which correlates with the boundaries of oncogene amplicons in TKI-resistant LUAD cells. Throughout the acquisition of TKI resistance, we identified a global chromatin priming effect, marked by a dynamic increase of H3K27Ac, cohesin loading, and inter-TAD interactions, which occurs before the onset of oncogene amplification. Furthermore, we have identified that the protein METTL7A, which was previously reported to localize to the ER and inner nuclear membrane, has a novel chromatin regulatory function in binding to amplified oncogenes and regulating cohesin recruitment and inter-TAD interactions. Surprisingly, we discovered that METTL7A remodels the chromatin landscape prior to any noticeable oncogene copy number gains. Furthermore, while METTL7A depletion has little effect on drug-naïve cells, METTL7A depletion prevents the formation of TKI resistant-clones, highlighting the specific role of METTL7A as cells are acquiring resistance. In summary, we discovered an unexpected mechanism required for the acquisition of TKI resistance regulated by a largely uncharacterized factor, METTL7A. This discovery sheds new light into maintenance of oncogene copy number and paves the way to the development of new therapeutics for preventing TKI resistance in LUAD.
Published in
Epigenetic priming promotes acquisition of tyrosine kinase inhibitor resistance and oncogene amplification in human lung cancer
Starble RM, Sun EG, Gbyli R et al. · bioRxiv : the preprint server for biology 2025 · PMID 39974875 · doi:10.1101/2025.01.26.634826
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 GSE254485_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 PRJNA1070678 and SRA study SRP486571. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 22 more — browse all 22 samples with per-sample file links →

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