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The H19/miR-760/BST2 axis orchestrates breast cancer tumorigenesis and metastasis

GSE294531 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/12/31 Platform GPL16791
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
Breast cancerThis series is part of our curated briefing on it.
Samples
12 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.
Summary (written by the submitters)
The long non-coding RNA H19 has been widely attested as a promotor of breast cancer by favoring proliferation, migration, invasion, and tumor growth. In this study, we attempted to decipher molecular mechanisms underlying the oncogenic activities of H19. Transcriptomic analyses revealed that H19 overexpression correlates with increased BST2 expression at both transcriptional and protein levels in breast cancer cell lines.
Read the full summary ↓
Functional assays demonstrated that BST2 overexpression mimics the oncogenic effects of H19 by enhancing tumor cell aggressiveness in vitro and tumor growth in vivo. Interestingly, we also observed a reciprocal regulation, where BST2 expression modulates H19 levels, suggesting a cross-regulatory mechanism. Further mechanistic studies identified miR-760 as a key post-transcriptional regulator orchestrating this interplay. Using luciferase reporter assays and miRNA modulation strategies, we found that miR-760 directly targets both H19 and BST2, thereby regulating their expression in a coordinated manner. Our findings uncover a novel H19/miR-760/BST2 regulatory axis that enhances breast cancer progression and suggest that this axis could be studied to identify potential targets for therapeutic intervention.
This dataset
Open GSE294531 in finder → Find more human RNA-seq datasets → Breast 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 GSE294531_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 PRJNA1250452. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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