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RNA sequencing for gastric-type endocervical adenocarcinoma (GAS), usual-type endocervical adenocarcinoma (UEA), and lobular endocervical glandular hyperplasia (LEGH)

GSE311549 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2026/07/24 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 18 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
Cervical cancerThis series is part of our curated briefing on it.
Samples
18 samples: 8 × LEGH vs 5 × GAS vs 5 × UEAGroups 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
Transcriptome profiling identifies RET activation as a therapeutic target in gastric-type endocervical adenocarcinomaBiomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2026
Summary (written by the submitters)
Cervical cancer is the fourth most common malignancy among women worldwide. While the majority of cases are human papillomavirus (HPV)-associated squamous cell carcinomas, a subset consists of adenocarcinomas. Uterine cervical adenocarcinoma is further classified into gastric-type adenocarcinoma (GAS), usual-type endocervical adenocarcinoma (UEA), and other subtypes.
Read the full summary ↓
Lobular endocervical glandular hyperplasia (LEGH), a non-neoplastic glandular lesion, has been proposed as a potential precursor of GAS. In this study, we investigated the gene expression profiles of GAS, UEA, and LEGH using RNA sequencing.
Published in
Transcriptome profiling identifies RET activation as a therapeutic target in gastric-type endocervical adenocarcinoma
Yamada H, Yokoi A, Suzuki K et al. · Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie 2026 · PMID 42361625 · doi:10.1016/j.biopha.2026.119696
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 GSE311549_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 PRJNA1369845 and SRA study SRP649118. Searching any of these in the dataset finder brings you back here.

Study design
8 × LEGH vs 5 × GAS vs 5 × UEA

Supports a between-group comparison across 18 samples.

How we read this: 3 replicated groups read from 18 sample titles; they account for 18 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
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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.