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Overexpressed PRR11-SKA2-miR301a/454 bidirectional transcription unit essentially and coordinately promotes PI3K-AKT pathway activation and lung cancer progression

GSE269696 Homo sapiens (human) RNA-seq (gene expression) 13 samples Submitted 2025/10/22 Platform GPL23227Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 13 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
Lung cancerThis series is part of our curated briefing on it.
Samples
13 samples: 13 samples, each with a distinct title — no replicated groupsGroups 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
Overexpressed PRR11-SKA2-miR301a/454 bidirectional transcription unit essentially and coordinately promotes PI3K-AKT pathway activation and lung cancer progressionOncogene · 2026
Summary (written by the submitters)
Gene pairing is a highly conserved and special mode of eukaryotic gene organization, and critically implicated in development and diseases including cancer. We previously found that PRR11 and SKA2 constitute a classic head-to-head gene pair. Here, we further demonstrate that PRR11, SKA2, and its intronic miR301a and miR454 constitute a more exquisite bidirectional transcription unit that are overexpressed in various types of cancers.
Read the full summary ↓
Functional studies using lung cancer as a model system reveal that co-overexpression of PRR11, SKA2, miR301a and miR454 together remarkably accelerates cell growth, cell cycle progression and cell motility in lung cancer cells, and promotes tumor growth in mouse models in vivo, whereas CRISPRi-mediated repression of the entire transcription unit inhibits these malignant phenotypes. Mechanistically, the four component genes do not display any additive or synergistic effect, but rather compensate for each other for robustly sustained activation of PI3K-AKT pathway, with PRR11 interacting with GRB2, and SKA2 with EGFR. Notably, miR301a and miR454 exert their oncogenic functions at least partially via repressing PTEN translation. Moreover, the transcription unit presents as a prominent prognostic meta-marker for lung cancer. Collectively, these findings demonstrate the essential and coordinated roles of PRR11-SKA2-miR301a/454 bidirectional transcription unit in lung cancer progression, highlighting its potential diagnostic and therapeutic values in cancers.
Published in
Overexpressed PRR11-SKA2-miR301a/454 bidirectional transcription unit essentially and coordinately promotes PI3K-AKT pathway activation and lung cancer progression
Liu T, Zuo X, Sun S et al. · Oncogene 2026 · PMID 41309933 · doi:10.1038/s41388-025-03607-6
This dataset
Open GSE269696 in finder → Find more human RNA-seq datasets → Lung 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 GSE269696_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 PRJNA1123246 and SRA study SRP513548. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41309933) ↗
Study design
13 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 13 sample titles: 13 distinct titles with little repetition. 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 Lung cancer datasets

Search all human RNA-seq datasets in GEO →

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