GEO series

IGF2BP3 promotes progression of head and neck cancers through the circHECTD2/hsa_miR_4310/7157-5p/Smad2 signaling axis in an m6A modification–dependent manner

GSE313611 Homo sapiens (human) RNA-seq (gene expression) 21 samples Submitted 2026/04/15 Platform GPL24676

At a glance

RNA-seq (gene expression) · human · 21 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: 21 samples: 21 samples, each with a distinct title — no replicated groupsGroups 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: IGF2BP3 promotes progression of head and neck cancers through the circHECTD2/hsa_miR_4310/7157-5p/Smad2 signaling axis in an m(6)A modification-dependent mannerMolecular cancer · 2026

Summary (written by the submitters)

Accumulating evidence indicates that N6-methyladenosine (m6A) modification of circular RNAs (circRNAs) plays a pivotal role in regulating cancer progression. However, in head and neck squamous cell carcinoma (HNSCC), the biological functions and underlying mechanisms of m6A modification in circRNAs remain insufficiently elucidated. In this study, we demonstrated that IGF2BP3, an upstream m6A reader, is associated with poor clinical outcomes.

Read the full summary ↓

IGF2BP3 stabilizes circHECTD2 through binding, and m6A modification enhances this interaction. Mechanistic investigations revealed that IGF2BP3 binds to and stabilizes circHECTD2, which functions as a sponge for hsa-miR-4310 and hsa-miR-7157-5p, thereby preventing the degradation of SMAD2 mRNA and promoting tumor proliferation, invasion, and metastasis in HNSCC. Collectively, these findings suggest that IGF2BP3 and circHECTD2 may serve as promising prognostic biomarkers and therapeutic targets for HNSCC.

Published in

IGF2BP3 promotes progression of head and neck cancers through the circHECTD2/hsa_miR_4310/7157-5p/Smad2 signaling axis in an m(6)A modification-dependent manner

Wu K, Chang F, Peng T et al. · Molecular cancer 2026 · PMID 41765878 · doi:10.1186/s12943-026-02619-4

This dataset

Open GSE313611 in finder → Find more human 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 GSE313611_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 PRJNA1380391 and SRA study SRP654809. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41765878) ↗

Study design

21 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 21 sample titles: 21 distinct titles with little repetition. 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

GSM9370983 Sh3-2A Input
GSM9370984 Sh3-2A IP
GSM9370985 Sh3-2B Input
GSM9370986 Sh3-2B IP
GSM9370987 Sh3-2C Input
GSM9370988 Sh3-2C IP
GSM9370989 shCtr-A Input
GSM9370990 shCtr-A IP
GSM9370991 shCtr-B Input
GSM9370992 shCtr-B IP
GSM9370993 shCtr-C Input
GSM9370994 shCtr-C IP
GSM9370995 Sh3-1A
GSM9370996 Sh3-1B
GSM9370997 Sh3-1C
GSM9370998 Sh3-2A
GSM9370999 Sh3-2B
GSM9371000 Sh3-2C
GSM9371001 shCtr-A
GSM9371002 shCtr-B
GSM9371003 shCtr-C

More Head and neck cancer datasets

GSE172146 Aberrant translation regulation by METTL1/WDR4-mediated tRNA N7-methylguanosine modification drives HNSCC progression 28 samples same disease briefing · shares modification, progression
GSE181919 Single-cell transcriptome profiling of the stepwise progression of head and neck cancer 37 samples same disease briefing · shares progression
GSE103322 Single cell RNA-seq analysis of head and neck cancer 5901 samples same disease briefing
GSE139324 Immune landscape of viral- and carcinogen-drived head and neck cancer 63 samples same disease briefing
GSE162738 Immune gene signatures in oropharyngeal cancers are associated with inverse prognosis by HPV-status 51 samples same disease briefing
GSE164690 Investigating Immune and Non-Immune Cell Interactions in Head and Neck Tumors by Single-Cell RNA Sequencing 51 samples same disease briefing
GSE114446 Integrated single-cell and bulk gene expression and ATAC-seq reveals heterogeneity and early changes in pathways associated with resistance to cetuximab in HNSCC-sensitive cell lines 33 samples same disease briefing
GSE176077 RNA-seq profiling of salivary transcriptome reveals potential diagnostic RNAs and oral microbial dysbiosis in oral squamous cell carcinoma 28 samples same disease briefing

Search all human datasets in GEO →

Share this dataset

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.