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The Effects of miR-526b, miR655 and COX-2 Overexpression on Oxidative and Genotoxic Stress in MCF7 Breast Cancer Cells

GSE295502 Homo sapiens (human) RNA-seq (gene expression) 36 samples Submitted 2025/09/29 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 36 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
36 samples: 12 conditions, mostly in triplicateGroups 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
Investigating the effects of miR-526b and miR-655 on doxorubicin sensitivity in breast cancerScientific reports · 2025
Summary (written by the submitters)
Breast cancer progression and therapeutic resistance are influenced by the tumor’s ability to adapt to cellular stress, including oxidative damage and chemotherapeutic pressure. Two microRNAs, miR-526b and miR-655, have been shown to promote aggressive breast cancer phenotypes, such as enhanced proliferation, migration, invasion, cancer stem cell characteristics, and metastatic potential, through the activation of the COX-2/EP4/PI3K/Akt signaling pathway.
Read the full summary ↓
Notably, overexpression of these miRNAs increases total intracellular reactive oxygen species (ROS) production. At the same time, exposure to modest levels of hydrogen peroxide (H₂O₂) further enhances their expression, suggesting a positive feedback loop between oxidative stress and miRNA activity. While their role in driving tumor aggressiveness is established, their influence on therapeutic outcomes remains underexplored. This project investigates how the overexpression of miR-526b, miR-655, and COX-2 in breast cancer cells alters cellular responses to both oxidative stress and the chemotherapeutic agent doxorubicin. By examining how these factors contribute to stress adaptation and drug resistance, the study aims to uncover key mechanisms underlying tumor progression and chemoresistance, with potential implications for improving treatment strategies.
Published in
Investigating the effects of miR-526b and miR-655 on doxorubicin sensitivity in breast cancer
Opperman RM, Maiti S, Majumder M · Scientific reports 2025 · PMID 41023167 · doi:10.1038/s41598-025-18719-y
This dataset
Open GSE295502 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 GSE295502_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 PRJNA1254982 and SRA study SRP580972. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41023167) ↗
Study design
12 conditions, mostly in triplicate
MCF7, DMSO, 48hr, ×3 MCF7, DOX, 48hr, ×3 MCF7-miR526b, DMSO, 48hr, ×3 MCF7-miR526b, DOX, 48hr, ×3 MCF7-miR655, DMSO, 48hr, ×3 MCF7-miR655, DOX, 48hr, ×3 MCF7-COX2, DMSO, 48hr, ×3 MCF7-COX2, DOX, 48hr, ×3 +4 more

Supports a between-group comparison across 36 samples.

How we read this: 12 replicated groups read from 36 sample titles; they account for 36 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 Breast cancer datasets

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