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CircPRMT5, a potential salivary biomarker, facilitates the progression of head and neck squamous cell carcinoma via the IGF2BP3-SERPINE1 pathway

GSE277717 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/02/19 Platform GPL24676
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
Head and neck cancerThis series is part of our curated briefing on it.
Samples
12 samples: 3 × scc15si-NC vs 3 × scc15si vs 3 × scc15sh-NC vs 3 × scc15shGroups 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
CircPRMT5, a Potential Salivary Biomarker, Facilitates the Progression of Head and Neck Squamous Cell Carcinoma via the IGF2BP3-SERPINE1 PathwayInternational journal of nanomedicine · 2025
Summary (written by the submitters)
Background: Circular RNAs (circRNAs) represent a newly identified class of non-coding RNAs that can be secreted into body fluids via exosomes and subsequently detected. While the function of circPRMT5 has been partially elucidated in certain tumor types, its role and underlying mechanisms in head and neck squamous cell carcinoma (HNSCC) remain inadequately understood.
Read the full summary ↓
Furthermore, the diagnostic potential of circPRMT5 in saliva necessitates additional investigation.Methods: The expression of circPRMT5 was quantified using qRT-PCR. The biological function of circPRMT5 in HNSCC progression was confirmed both in vitro and in vivo. RNA sequencing (RNA-Seq) was used to find downstream targets for circPRMT5-IGF2BP3. IGF2BP3 and SERPINE1 expression levels were assessed using qRT-PCR, Western blotting, and immunohistochemistry. Additionally, the localization and interaction of circPRMT5, IGF2BP3 protein, and SERPINE1 in HNSCC were evaluated using RNA-FISH, immunofluorescence (IF), and RNA immunoprecipitation (RIP) assays. Ultimately, saliva exosomes were collected, identified and assessed using Western Blot, electron microscopy, particle size analysis and qRT-PCR.Results: Findings revealed that circPRMT5 was upregulated in HNSCC and promoted its proliferation and metastasis in vitro and in vivo. Mechanistically, circPRMT5 stabilized IGF2BP3 protein, which in turn stabilized SERPINE1 mRNA. Notably, the proliferative, invasive, and migratory effects of circPRMT5 in HNSCC were contingent upon the involvement of IGF2BP3 and SERPINE1. Furthermore, circPRMT5 levels were significantly elevated in the saliva of HNSCC patients, and positively correlated with increased lymph node metastasis and advanced T stage. These findings underscored the high diagnostic and predictive potential of circPRMT5 in HNSCC.Conclusions: CircPRMT5 plays a crucial role in promoting HNSCC proliferation and metastasis via the IGF2BP3-SERPINE1 pathway. It serves as a noninvasive diagnostic biomarker, indicating its potential as a valuable diagnostic and therapeutic target for HNSCC patients.
Published in
CircPRMT5, a Potential Salivary Biomarker, Facilitates the Progression of Head and Neck Squamous Cell Carcinoma via the IGF2BP3-SERPINE1 Pathway
Jiang S, Ou L, Wang Y et al. · International journal of nanomedicine 2025 · PMID 39931528 · doi:10.2147/IJN.S502400
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 GSE277717_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 PRJNA1160145 and SRA study SRP532530. Searching any of these in the dataset finder brings you back here.

Study design
3 × scc15si-NC vs 3 × scc15si vs 3 × scc15sh-NC vs 3 × scc15sh

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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
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