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The olfactory receptor OR51E2 regulates prostate cancer aggressiveness and modulates STAT3 in prostate cancer cells and in xenograft tumors

GSE276348 Homo sapiens (human) RNA-seq (gene expression) 17 samples Submitted 2025/03/24 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 17 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
Prostate cancerThis series is part of our curated briefing on it.
Samples
17 samples: 10 × Xenograft tumor from LNCaP WT cells, biological replicate A vs 7 × Xenograft tumor from LNCaP OR51E2-KO cells, biological replicate AGroups 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
The olfactory receptor OR51E2 regulates prostate cancer aggressiveness and modulates STAT3 in prostate cancer cells and in xenograft tumorsBMC cancer · 2025
Summary (written by the submitters)
Despite significant advancements in prostate cancer detection and treatment, the molecular mechanisms driving its progression remain elusive. This study aimed to explore the role of the receptor OR51E2, which is frequently upregulated in prostate cancer, in the disease's progression. Using CRISPR-Cas9 technology, we generated monoclonal OR51E2 knockout cells to investigate the receptor's physiological effects.
Read the full summary ↓
We assessed the tumorigenic potential of these cells both in vitro and in vivo, and conducted transcriptomic and proteomic analyses on xenograft tumors derived from the knockout cells. Additionally, we examined how varying levels of OR51E2 expression in patients from a TCGA cohort impacted disease outcomes. The OR51E2-knockout cells displayed increased proliferation, migration, adhesion, anchorage-independent colony formation, and tumor growth, leading to a more aggressive cancer phenotype. Omics analyses identified several pathways associated with significant molecular changes, particularly an aberration in the STAT3 pathway linked to IL-6 signaling, underscoring a connection to inflammatory pathways. Analysis of the TCGA cohort further revealed that prostate cancer patients with lower OR51E2 expression had worse prognoses and higher average Gleason grades compared to those with higher expression levels. This analysis also supported a role for OR51E2 in modulating the STAT3 pathway within the cohort. Overall, our findings suggest that OR51E2 plays a critical role in regulating prostate cancer progression by influencing cancer cell physiology and aggressiveness. Reduced OR51E2 expression may lead to poorer patient outcomes, potentially through disruptions in the STAT3 pathway that alter cellular responses to inflammatory signaling.
Published in
The olfactory receptor OR51E2 regulates prostate cancer aggressiveness and modulates STAT3 in prostate cancer cells and in xenograft tumors
Thomsen MT, Busk M, Zhang D et al. · BMC cancer 2025 · PMID 40128715 · doi:10.1186/s12885-025-13928-0
This dataset
Open GSE276348 in finder → Find more human RNA-seq datasets → Prostate 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 GSE276348_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 PRJNA1156757 and SRA study SRP530484. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40128715) ↗
Study design
10 × Xenograft tumor from LNCaP WT cells, biological replicate A vs 7 × Xenograft tumor from LNCaP OR51E2-KO cells, biological replicate A

Supports a between-group comparison across 17 samples.

How we read this: 2 replicated groups read from 17 sample titles; they account for 17 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 Prostate cancer datasets

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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.