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Aberrant Hippo-YAP/TEAD signaling drives malignant transcriptional reprogramming in external auditory canal squamous cell carcinoma

GSE306447 Homo sapiens (human) RNA-seq (gene expression) 27 samples Submitted 2025/09/09 Platform GPL28038
At a glance

RNA-seq (gene expression) · human · 27 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
27 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
Aberrant Hippo-YAP/TEAD Signaling Drives Malignant Transcriptional Reprogramming in External Auditory Canal Squamous Cell CarcinomaCancer research communications · 2026
Summary (written by the submitters)
External auditory canal squamous cell carcinoma (EACSCC) is an extremely rare malignancy. The molecular characteristics and evidence-based therapeutic strategies of EACSCC still remain to be elucidated. To elucidate the transcriptomic aberrations of EACSCC, RNA-seq was performed on non-cancerous ear skin tissues and EACSCC tissues.
Published in
Aberrant Hippo-YAP/TEAD Signaling Drives Malignant Transcriptional Reprogramming in External Auditory Canal Squamous Cell Carcinoma
Sato K, Komune N, Ono M et al. · Cancer research communications 2026 · PMID 41524724 · doi:10.1158/2767-9764.CRC-25-0626
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 GSE306447_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 PRJNA1310849 and SRA study SRP612624. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 27 more — browse all 27 samples with per-sample file links →

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