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DLEU2 promotes cell motility and immune infiltration in cervical squamous cell carcinoma through reciprocal feed-forward activation of E2F1

GSE291247 Homo sapiens (human) RNA-seq (gene expression) 16 samples Submitted 2026/02/10 Platform GPL11154
At a glance

RNA-seq (gene expression) · human · 16 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
16 samples: 7 × Normal vs 7 × CESCGroups 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
A DLEU2/E2F1 regulatory axis promotes migration and invasion phenotypes in cervical squamous cell carcinomaScientific reports · 2026
Summary (written by the submitters)
Cancer metastasis is the primary cause of high mortality in patients with cervical squamous cell carcinoma (CESC). The invasive ability of cancer cells is enhanced by increased cell motility, which contributes to their distant metastasis. The oncogenic lncRNA DLEU2, implicated in tumor progression and prognosis, remains understudied in CESC.
Read the full summary ↓
This study investigated how DLEU2 enhances cell motility and regulates immune infiltration in CESC. We found that DLEU2 was upregulated in CESC tissues and correlated with poor prognosis in advanced-stage patients. Functionally, DLEU2 knockdown suppressed cell migration and invasion, while its overexpression enhanced motility. Mechanistically, DLEU2 knockdown altered the expression of downstream genes related to cell motility and adhesion. An interaction between DLEU2 and E2F1 protein was confirmed by RNA pulldown assay. E2F1 expression was downregulated or upregulated after DLEU2 knockdown or overexpression, respectively, while DLEU2 expression was also upregulated after E2F1 overexpression. Therefore, DLEU2 may form a regulatory loop with E2F1 to activate the transcription of downstream genes related to cell motility and adhesion. Additionally, E2F1 expression strongly correlated with immune infiltration levels (e.g., T cells, Tregs, monocytes, mast cells), and DLEU2 exhibited a parallel immune cell abundance pattern, suggesting indirect immunomodulatory effects via E2F1. These findings propose that the DLEU2-E2F1 axis promotes CESC metastasis by dual mechanisms: enhancing tumor cell motility and reshaping the immune microenvironment. The study highlights DLEU2 as a potential therapeutic target to disrupt metastatic pathways and immune evasion in CESC. Further validation is needed to explore clinical applications of targeting this regulatory network.
Published in
A DLEU2/E2F1 regulatory axis promotes migration and invasion phenotypes in cervical squamous cell carcinoma
He M, Huang S, Wang M et al. · Scientific reports 2026 · PMID 42091655 · doi:10.1038/s41598-026-51939-4
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 GSE291247_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 PRJNA1232656 and SRA study SRP568546. Searching any of these in the dataset finder brings you back here.

Study design
7 × Normal vs 7 × CESC

Supports a between-group comparison across 14 samples.

How we read this: 2 replicated groups read from 16 sample titles; they account for 14 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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