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Whole transcriptome sequencing of 6 pairs of esophageal squamous cell carcinoma and paracancerous tissues

GSE263647 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2024/04/15 Platform GPL20301
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
Esophageal cancerThis series is part of our curated briefing on it.
Samples
12 samples: 6 × ESCC vs 6 × paracancerousGroups 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
AGTR1 potentiates the chemotherapeutic efficacy of cisplatin in esophageal carcinoma through elevation of intracellular Ca(2+) and induction of apoptosisInternational journal of oncology · 2025
Summary (written by the submitters)
Screening and identification of novel biomarkers affecting the progression of esophageal squamous cell carcinoma by whole-transcriptome sequencing of 6 pairs of esophageal squamous cell carcinoma tissues and adjacent tissues
Published in
AGTR1 potentiates the chemotherapeutic efficacy of cisplatin in esophageal carcinoma through elevation of intracellular Ca(2+) and induction of apoptosis
Liu K, Bie J, Zhang R et al. · International journal of oncology 2025 · PMID 40084687 · doi:10.3892/ijo.2025.5738
This dataset
Open GSE263647 in finder → Find more human RNA-seq datasets → Esophageal cancer 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 GSE263647_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 PRJNA1098634 and SRA study SRP502121. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40084687) ↗
Study design
6 × ESCC vs 6 × paracancerous

Supports a between-group comparison across 12 samples.

How we read this: 2 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 Esophageal cancer datasets

Search all human RNA-seq datasets in GEO →

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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.