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YAP1 dysfunction promotes molecular properties linked to breast cancer susceptibility

GSE303684 Homo sapiens (human) RNA-seq (gene expression) 41 samples Submitted 2025/11/25 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 41 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
Breast cancerThis series is part of our curated briefing on it.
Samples
41 samples
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
YAP1 Dysfunction Promotes Molecular Properties Linked to Breast Cancer SusceptibilityCancer prevention research (Philadelphia, Pa.) · 2026
Summary (written by the submitters)
YAP1 is a co-transcription factor that promotes malignant and stem cell properties in cancer. We previously found that YAP1 dysregulation is associated with aging in human mammary epithelia. With increased age, YAP1 expression changes in luminal epithelial cells, the prospective breast cancer cell of origin. Because age is a significant risk factor for breast cancer, we tested if YAP1 dysregulation acted early in cancer progression by conferring cellular states associated with increased cancer susceptibility.
Read the full summary ↓
Here we find, that with increased age and genetic risk for developing cancer, human breast tissues showed significantly increased YAP1 expression and cultured primary human mammary epithelial cells (HMEC) showed significantly increased expression of both YAP1 and its transcriptional targets. Increased YAP1 expression in cultured HMEC induced gene expression changes associated with increased cancer susceptibility such as genes associated with: a stem cell fate, cells with increased telomerase activity, breast cancer progression, and increased age and genetic breast cancer risk. Further, overexpression of YAP1 in post-stasis HMEC- finite lifespan cells which have bypassed a retinoblastoma-mediated senescence barrier- promoted properties related to an increased growth potential. We found that YAP1 dysregulation in finite post-stasis epithelial cells allows for access to gene programs and functions that are typically thought to be restricted to stem cells. We hypothesize that YAP1 acts early in breast cancer progression, before development of a tumor, to impose cancer susceptible molecular states.
Published in
YAP1 Dysfunction Promotes Molecular Properties Linked to Breast Cancer Susceptibility
Fresques T, Lopez JC, Hussey D et al. · Cancer prevention research (Philadelphia, Pa.) 2026 · PMID 41431390 · doi:10.1158/1940-6207.CAPR-25-0027
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 GSE303684_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 PRJNA1297085 and SRA study SRP603698. Searching any of these in the dataset finder brings you back here.

Samples in this study

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