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Multi-omics Sequencing reveals Epigenetic Regulation in Actinic Keratosis and Cutaneous Squamous Cell Carcinoma [m6A-seq]

GSE277275 Homo sapiens (human) Other 40 samples Submitted 2025/12/04 Platform GPL24676
At a glance

human · 40 samples

Organism
Homo sapiens (human)
Topic
Cutaneous squamous cell carcinomaThis series is part of our curated briefing on it.
Samples
40 samples: 40 samples, each with a distinct title — no replicated groupsGroups 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.
Paper
Multi-omics analysis reveals the crosstalk of epigenetic regulatory networks in cutaneous squamous cell carcinoma progressionJournal of translational medicine · 2025
Summary (written by the submitters)
Cutaneous squamous cell carcinoma (cSCC) is an important type of skin cancer. It is difficult to diagnose and treat, which seriously endanger people’s the physical and mental health. Actinic keratosis (AK) induced by ultraviolet radiation is the precancerous lesion of cSCC. The mechanism of occurrence and development of cSCC is still unclear, and the research on epigenetics is even less.
Read the full summary ↓
In this project, we intend to study the mechanism of cSCC, especially the transformation from normal skin to AK, cSCC and the metastasis in late stage of cSCC, using multi-omics sequencing technology with experimental methods. Through the integrated analysis of multi-omics information such as DNA methylation, RNA methylation, chromatin accessibility and transcriptome, we obtained the epigenetic map of different stages of cSCC and identified the potential key epigenetic driving factors for cSCC. This project provided an important scientific basis for the clinical treatment and drug development of cSCC, as well as method reference for the study of other cancers.
Published in
Multi-omics analysis reveals the crosstalk of epigenetic regulatory networks in cutaneous squamous cell carcinoma progression
Sun YZ, Zou DD, Li XJ et al. · Journal of translational medicine 2025 · PMID 41233828 · doi:10.1186/s12967-025-07262-z
This dataset
Open GSE277275 in finder → Find more human datasets → Cutaneous squamous cell carcinoma landscape →
Download · which file do I need?

Direct links to NCBI, 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.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE277275_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Whole study · RAW.tar ↓

Also filed as BioProject PRJNA1161632. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41233828) ↗
Study design
40 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 40 sample titles: 40 distinct titles with little repetition. 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 Cutaneous squamous cell carcinoma datasets

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