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Transcriptomic Analysis Reveals Molecular Signatures Distinguishing Vocal Fold Leukoplakia from Benign Lesions: Synergistic Dysregulation of Chronic Inflammation, Immune Dysfunction, and Epithelial Barrier Disruption

GSE330007 Homo sapiens (human) RNA-seq (gene expression) 19 samples Submitted 2026/05/10 Platform GPL29480
At a glance

RNA-seq (gene expression) · human · 19 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
19 samples: 11 × Vocal cord polyp tissue, vs 8 × Vocal cord leukoplakia tissue,Groups 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.
Summary (written by the submitters)
Objective: Vocal cord leukoplakia (VCL) represents a precancerous laryngeal lesion with a risk of malignant transformation. By employing transcriptomic analysis, this research sought to ascertain the key signatures and regulatory networks capable of distinguishing VCL from benign lesions. Methods: Surgically resected tissues from 8 individuals with VCL and 11 individuals with vocal cord polyps (VCP) were included for RNA sequencing and bioinformatics analysis.
Read the full summary ↓
Core genes were identified through differential expression analysis, and functional enrichment analyses were utilized to characterize the associated biological processes. Results: The transcriptomic profile of VCL was characterized by abnormalities in three primary aspects: activation of inflammation-related pathways (e.g., NF-κB), downregulation of immune function-related genes (e.g., CD8A, CD19), and downregulation of epithelial barrier-related molecules (e.g., CLDN4). Conclusion: The transcriptomic signatures of VCL are linked to the coordinated dysregulation of pathways related to inflammation, immunity, and the epithelial barrier.
This dataset
Open GSE330007 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 GSE330007_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 PRJNA1462375 and SRA study SRP697743. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
11 × Vocal cord polyp tissue, vs 8 × Vocal cord leukoplakia tissue,

Supports a between-group comparison across 19 samples.

How we read this: 2 replicated groups read from 19 sample titles; they account for 19 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
Datasets on a similar topic

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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.