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Targeting PLK1 with Onvansertib and Radiation in Head and Neck Cancer

GSE306710 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/10/15 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 24 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
Head and neck cancerThis series is part of our curated briefing on it.
Samples
24 samples: 8 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.
Summary (written by the submitters)
Radiotherapy is a key treatment for head and neck squamous cell carcinoma (HNSCC) especially in patients with human papilloma virus-negative (HPV-) HNSCC. Our studies identify polo-like kinase 1 (PLK1) as a promising target for HNSCC. PLK1 inhibition with onvansertib reduces cell viability and spheroid growth of HPV- HNSCC cells. PLK1 inhibition combined with radiation increases G2/M arrest, decreases colony formation of HPV- HNSCC cells, and reduces tumor growth in vivo.
Read the full summary ↓
RNA-sequencing demonstrates radiation increases MMP10 expression but PLK1 inhibition reverses this effect in HPV- HNSCC cells. PLK1 inhibition also reduces MMP10 activity in HPV- HNSCC cells. These findings suggest that combining PLK1 inhibition with radiation may improve therapeutic response for HPV- HNSCC via MMP10, offering a novel approach to overcome radiation resistance.
This dataset
Open GSE306710 in finder → Find more human RNA-seq datasets → Head and neck 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 GSE306710_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 PRJNA1311939 and SRA study SRP613882. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 conditions, mostly in triplicate
HN5 cells, vehicle ×3 HN5 cells, onvansertib (25nM, 24hr) ×3 HN5 cells, radiation (4Gy, 24hr) ×3 HN5 cells, onvansertib and radiation ×3 UMSCC47 cells, vehicle ×3 UMSCC47 cells, onvansertib (25nM, 24hr) ×3 UMSCC47 cells, radiation (4Gy, 24hr) ×3 UMSCC47 cells, onvansertib and radiation ×3

Supports a between-group comparison across 24 samples.

How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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 Head and neck 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.