← BioTransfer GEO Dataset Finder
GEO series

Twist1-induced suppression of oncogene-induced senescence in non-small cell lung cancer requires the transactivation domain of Twist1

GSE270902 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/03/31 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 12 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
12 samples: 3 × HBEC-Vector control-Vector EGFP # vs 3 × HBEC-Vector control-Vector HRasG12V-EGFP # vs 3 × HBEC-Vector Twist1F187G-Vector HRasG12V-EGFP # vs 3 × HBEC-Vector Twist1wt-Vector HRasG12V-EGFP #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)
Non-small cell lung carcinoma (NSCLC) is a major cause of cancer mortality. High expression of the epithelial-to-mesenchymal transition transcription factor (EMT-TF) Twist1 is strongly associated with metastatic cancers and with treatment resistance. Twist1 can also upregulate O-GlcNAcylation to suppress fail-safe programs such as KrasG12D oncogene-induced senescence (OIS) that accelerates NSCLC tumorigenesis.
Read the full summary ↓
We wanted to decipher the critical domains and transcriptional targets required for Twist1 acceleration of lung tumorigenicity. We created a novel genetically-engineered mouse model for autochthonous lung cancer through lung epithelial expression of KrasG12D oncogene (CR) concomitantly with Twist1wt (CRT) or a Twist1F191G transactivation-null mutant (CRF191G). Compared to CR and CRF191G, CRT mice had shorter tumor-free survival and more aggressive tumors histologically. CRT lung tumors also showed higher proliferation and lower cell-cycle arrest suggesting that the Twist1 transactivation-domain is important for OIS suppression. Supporting these data, we observed in non-cancer human bronchial epithelial cells (HBECs) that the co-expression of human TWIST1wt enhanced tumorigenic/invasive programs and could suppress HRasG12V-induced senescence while co-expressing TWIST1F187G transactivation-null mutant could not. TWIST1wt co-expression with HRasG12V in HBECs differentially modulated MYC downstream transcriptional programs. Finally, OIS induction in HBEC-HRasG12V-TWIST1wt was rescued by O-GlcNAcylation inhibition or by treatment with a novel MYC inhibitor MYCi975. Altogether, these results indicate that the Twist1 transactivation domain is required for Twist1-dependent acceleration of lung tumorigenesis via MYC and nominate MYCi975 as a means to activate latent OIS programs. MYC targeting strategies could limit pro-tumorigenic programs and serve as a therapeutic for TWIST1-overexpressing NSCLCs.
This dataset
Open GSE270902 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 GSE270902_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 PRJNA1128724 and SRA study SRP516311. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × HBEC-Vector control-Vector EGFP # vs 3 × HBEC-Vector control-Vector HRasG12V-EGFP # vs 3 × HBEC-Vector Twist1F187G-Vector HRasG12V-EGFP # vs 3 × HBEC-Vector Twist1wt-Vector HRasG12V-EGFP #

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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
More Lung cancer datasets

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.