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Vascular invasion-associated gene expression is detectable in pre-surgical biopsies of stage I lung adenocarcinoma [bulkRNA-seq]

GSE273377 Homo sapiens (human) RNA-seq (gene expression) 169 samples Submitted 2026/01/26 Platform GPL16791Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 169 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
169 samples: 108 × MCL vs 30 × LayRNA vs 5 × FFP-5xGroups 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
Vascular invasion-associated gene expression is detectable in pre-surgical biopsies of stage I lung adenocarcinomaNature communications · 2026
Summary (written by the submitters)
Microscopic vascular invasion (VI) predicts recurrence and benefit from lobectomy in stage I lung adenocarcinoma (LUAD) but cannot be accurately predicted before surgery. Thus, biomarkers that identify this aggressive tumor subset are needed. Here, we show that VI in stage I LUAD is associated with reproducible gene expression programs detectable beyond the invasive focus.
Read the full summary ↓
Using bulk RNA sequencing of 162 resected tumors and spatial transcriptomics in a subset, we identify and characterize a VI-associated gene signature. A predictor derived from this signature is associated with VI and recurrence in an independent validation cohort and is robust to intra-tumor heterogeneity in multiregional sampling data. In a cohort of pre-surgical biopsies, predictor scores correlate with matched resections and show promising discrimination of VI. These findings indicate that VI-associated transcriptional changes extend across the tumor and are detectable in limited biopsy material, supporting further validation for preoperative risk stratification in stage I LUAD.
Published in
Vascular invasion-associated gene expression is detectable in pre-surgical biopsies of stage I lung adenocarcinoma
Steiner D, Sultan L, Sullivan T et al. · Nature communications 2026 · PMID 41876493 · doi:10.1038/s41467-026-70600-2
This dataset
Open GSE273377 in finder → Find more human RNA-seq datasets →
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 GSE273377_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 PRJNA1141508. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41876493) ↗
Study design
108 × MCL vs 30 × LayRNA vs 5 × FFP-5x

Supports a between-group comparison across 143 samples.

How we read this: 3 replicated groups read from 169 sample titles; they account for 143 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

+ 129 more — browse all 169 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.